Argumentive Summary Essay Example | Topics and Well Written Essays - 750 words

Argumentive Summary - Essay Example Therefore, the household in which a child spends their preschool years can have a major impact on their success and educational development for many years to come. We might consider the extent Brice’s thesis is convincing, and to what extent the evidence she offers to support it is comprehensive. It seems to me that Heath’s work is extremely convincing, and offers a helpful analysis of a hugely important issue, that is, giving children the best start possible in their education. Heath makes an important contribution to academic work on the importance of the preschool environment for a child’s subsequent, formal education. As well as dealing with the very particular examples of the three neighborhoods she selects for analysis, Heath also provokes the reader’s thoughts on more general issues, for example in commenting that teachers and researchers ‘have not recognized that ways of taking from books are as much a part of learned behavior as are ways of eating, sitting, playing games, and building houses’ (97). ... Of course, the implications of this statement are central to the essay and its arguments. Heath’s essay is based on the assumption that a child will imitate practices they learn in the household, and these will either facilitate or obstruct the schooling process later on. Heath is therefore positing the notion that due to their acquisition from the home environment, literary skills can be acquired as naturally as any others. Heath states that adults provide their children with ways ‘taking from books’, which will come to seem natural in schools, businesses, or offices (97). Given that we live in a highly literate society, where reading and writing are needed for even basic tasks, and having established that the basics of literacy can be taken from adults in the home environment, as discussed above, it is striking that Heath approaches a field on which little work has been done. Little is known about the functioning of these processes in practice. Heath therefore p erforms a valuable task for the extension of our knowledge when she chooses to survey the importance of ‘literary events’, in which ‘participants follow socially established rules for verbalizing what they know about the written material’ (98). As the title of the essay indicates, one such event might be the bedtime story, and this theme is carried throughout Heath’s analysis. Heath’s approach is also interesting in that she does not just work on patterns detected in ‘mainstream’ households, but also on those she finds in alternative styles of household (98). She chooses three communities in the Southeastern United States – a middle-income area called Maintown, where the households surveyed have a mother who has taught in local public schools (100); Roadville – a

KLSE Relationship with Inflation and Exchange Rates

KLSE Relationship with Inflation and Exchange Rates Capital market is a financial market which is for long term investment funds with the maturities greater than one year. In USA, capital market was controlled by security exchange and it was established in 1934. While in Malaysia, Bank Negara Malaysia (BNM) capital market has been developed since 1980s. It is a market where securities such as common stock, preferred stock and bonds are issued or traded. Companies, government and other organizations use capital market in order to raise funds for their operations. In other words, capital market helps organizations or institutions whether in public and private sector to gain capital. Besides that, capital market also traded an investment funds like debt, equity and mortgage loan. The central bank, Bank Negara Malaysia (BNM) also played a very important role in develop and care of this market. Kuala Lumpur Stock Exchange or more popular known as KLSE is the only one stock market in this country. All the listed securities in Malaysia are done by KLSE since the KLSE is a self-regulatory. Based on this study, KLSE Composite Index are represented by the stock market, money supply represented by M3, consumer price index represented the inflation rates and exchange rates represented by the Malaysian Ringgit (RM) against the US Dollar. In KLSE it has their own rules where buyers and sellers trade their transaction with each other. Since KLSE was established, there were ups and down movement of KLSE causes by many variables. To measure the performance of stock market, stock index is used. Besides, it can be used by all investors as a benchmark for them to evaluate the performance of holding shares. KLSE Composite Index is comprised of 100 companies listed on the exchange. The movement of stock prices can be triggered by the movement in financial sector in particular, that is the money supply. From this situation, there might be a relationship between KLSE Composite Index with money supply. A negative relationship between stock market and inflation in India and by previous study that also comes out with the same result might support the relationship between KLSE Composite Index with inflation rates. The motivation of this study is to find out whether there is a relationship between KLSE Composite Index with the level of money supply, inflation rates and exchange rates. Thus, if the Malaysian economic are facing with inflation, the stock price will be low and vice versa. 1.2 BACKGROUND OF THE STUDY Kuala Lumpur Stock Exchange (KLSE) is a formal stock market and it is widely constructed such as the composite index, EMAS index, and the various sector indices of tin, plantation, hotel, services, automobile, industrial and properties. KLSE is a self-regulatory organization and has emerged as one of the top performing bourses in developing countries in 1992. Based on the previous study, stock index is used to measure the performance of all stock market. KLSE calculate the index for each main sector traded however, mostly it will use the KLSE Composite Index because it will comprise the stocks traded on the KLSE. Since it is the only stock market in Malaysia, the monitoring and supervising do by Minister of Finance (MOF) and by Securities Commission (SC). KLSE Composite Index has been introduced on 1986 where one stock index was needed which can act to stock market performance and Malaysia economy. All the data that has been calculated electronically by KLSE can be taken by brokers companies and other customers at any time since the index is base on minute to minute. KLSE are really a well known stock market in the world. In 1970s and 1980s, KLSE had major development until it had become one of the largest market capitalization bourses in South-East Asia. However, when Singapore out from Malaysia in 1965, the Stock Exchange of Malaysia then, known as the Stock Exchange of Malaysia and Singapore. In spite of, in 1973 when the currency exchange between Malaysia and Singapore drop, again it changes the name and become Kuala Lumpur Stock Exchange and Stock Exchange of Singapore. In 2004, KLSE has changed it name and now it is known as Bursa Malaysia Berhad. This Bursa Malaysia focused to improve the products and services that they conduct. While in year 2005, Bursa Malaysia was listed on the Main Board of Bursa Malaysia Security Berhad. While in KLSE Composite Index, it has been accepted as a local stock market barometer when it was introduced in 1986. From the investor side, the major factors that determine the stock market are the climate of economic. This study investigates the impact of inflation rates, exchange rates and money supply towards stock market. Based on the previous study, there are several researches that have been handled to investigate this dependent variable and independent variables. 1.3 PROBLEM STATEMENT This study is to analyze whether there are significant relationship between KLSE Composite Index as a dependent variables with the money supply (M3), inflation rate and exchange rate as an independent variables. Malaysia stock market performance nowadays has staged at an encouraging recovery and gain in selected blue chips and this can be proved when in 2007, Malaysias economy placed the third largest economy in Southeast Asia. Malaysian stock market is able to provide profitability investment since strong domestic spending give benefit sector trading in Kuala Lumpur Stock Exchange (KLSE). The movement of KLSE Composite Index Inflation depends on many economic factors. For this study, researcher tries to figure out whether the economic factors could affect the performance of KLSE Composite Index. The economic factors for this study refer to money supply, inflation rates and exchange rates. Researcher also tries to figure out, whether the economic factors could be major elements of stock investments. Inflation is happen when a country has printed too much money which will increase the rate of consumer price and also will affect the cost of living. Good news for inflation is, the last report of inflation rate in Malaysia is about only two percent which is in November 2010. There was a negative relationship between inflation rate and stock price. This is because during inflation, cost of living and cost of production will increase and investor will not invest as before inflation happen. Exchange rate refers as a payment or change for person that want to do exchange in currency from one country to currency of other country. While for the study in relationship with exchange rate, it also showed a negative relationship. When there is an increment in level of currency, the charges for each exchange also will be affected. This means they have to change the currency in a large amount and it might affect their money. Therefore, the rational of doing this research is to find out, whether KLSE Composite Index are linked to economic condition in level of money supply, inflation rate and exchange rate? 1.4 OBJECTIVES OF THE STUDY This study is to figure out the relationship, movement and performance of dependent variable and independent variables. It has divided into two types of objectives. The objectives of this study are: 1.4.1 GENERAL OBJECTIVES The major objective of this study is to identify the relationship between dependent variable (KLSE-CI) and independent variables which are money supply, inflation rates and exchange rates in order to know whether there is any positive or negative relationship. 1.4.2 SPECIFIC OBJECTIVES To determine the relationship between inflation rates and KLSE Composite Index To determine the relationship between exchange rates and KLSE Composite Index To identify whether changes in variables are significant in affecting the movement of KLSE Composite Index 1.4.3 NULL HYPOTHESES (H0) There is no significant relationship between KLSE Composite Index (dependent variables) with money supply, inflation rates and exchange rates (independent variables). 1.5 SCOPE OF THE STUDY This research paper is to examine the relationship between Kuala Lumpur Stock Exchange Composite Index with level of money supply (M3), inflation rates (CPI) and exchange rates (Ringgit against US Dollar). The data for this study are gathered a period for 60 months (5 years) from 2006 to 2010. As been stated, the multiple regression analysis is used to measure the relationship between dependent variable and independent variables with monthly basis issued by Bank Negara Malaysia (Central Bank of Malaysia). 1.6 LIMITATION OF THE STUDY There are some limitations in conducting this research. The limitations that have been highlighted are as follow: Limited variables chosen make it difficult to interpret the relationship of dependent variable and independent variables and it been conclude as not really efficient. The data collected are mostly from internet, journals, newspapers and economic reports. Unreliable collected data will lead to unreliable results. The data for this study is gathered for monthly collective data which taken from Bank Negara Malaysia. Only three independent variables (money supply, inflation rates and exchange rates) have been chosen since there are too many internal factors that can classify the relationship and can affect KLSE Composite Index. This study cover period for 60 months (5 years) 2005 to 2010, are considered quite a short period compare to other research. The finding might not be perfectly accurate. For this research, only one country is focused which is Malaysia in order to limit the scope of research. The limitation for this research can be more reliable if the data taken based on weekly basis. Since best research comes with accurate data from weekly or daily basis data. 1.7 SIGNIFICANCE OF THE STUDY This study provides some useful information about the relationship between KLSE Composite Index with levels of inflation rates, exchange rates and money supply. The significant of this study is to build better understanding for readers and useful information to investors in making good investment decision. In addition, this study provides two important aspects in Malaysia economy (exchange rates and inflation rates) which can help companies in Malaysia to make decisions to issue their shares during the period of good economic and during the economic when it face with high inflation. Studies examining the relationship between money supply, inflation rates and exchange rates under Malaysian experiences are very limited, and it is hope from the available findings from this study, it can be use as a direction or reference for further research. CHAPTER 2 2.1 LITERATURE REVIEW According to Ooi Beng Hooi (2011), entitled The Relationship between KLCI and Ringgit Malaysia against US Dollar, he would like to explain the relationship between stock price and currency exchange rate. Researcher had done his research in four years starting from July 2005 until July 2009. Last, he comes out with the conclusion that state that a significance and strong relationship are explained in both KLCI and Ringgit Malaysia against US Dollar. The results of this research are really useful and in can be us as references for future study. According to Noor Azlinna Azizan and Hasyaliny Sulong (2011), entitled The Preparation Towards Asean Exchange Link between Malaysia Stock Market and Asia Countries Macroeconomics Variables Interdependency, they investigated the interaction between stock prices and macroeconomic variables in Asia countries include Malaysia, Indonesia, Singapore, Thailand, India, China, South Korea, Japan and Taiwan to view the interdependency of our stock market to other Asia countries macroeconomics variables. As a result, the researcher found out that only stock price and exchange rates have the most impact to our stock market. According to Oguzhan Aydamer (2009), with the topic of The Relationship Between Stock Prices and Exchange Rates Evidence From Turkey, he disclose the relationship between macroeconomics variables such as money supply, inflation rates, exchange rates, interest rates and stock price. This research is done for 8 years from February 2001 to January 2008 which focuses in one country that is Turkey. After all the research has been made, he then concludes that there is a negative relationship between exchange rates and all stock market indices. Besides, he also stated that other variables are also having negative relationship. According to Aisyah Abdul Rahman, Noor Zahirah Mohd Sidek and Fauziah Hanim Tafri (2009), a research on Macroeconomic Determinants of Malaysian Stock Market, are investigates the relations between selected macroeconomic variables and stock prices for the case of Malaysia. In addition, this research highlights that Malaysian stock market has weak interaction with money supply, exchange rates and interest rates as compared to the industrial production index. Sara Alataqi and Shokoofeh Fazel (2008), with topic Can Money Supply Predict Stock Price said that, when they refer to other previous researcher, most of them come with the same result which a positive casual relationship between money supply and stock prices is frequently hypothesized by some financial analysis. While for both of these researchers, Sara Alataqi and Shokoofeh Fazel theier belive are against with that statement. From the research they have made, the results that they get are totally different with the previous study. They have proved the reason and all the calculated data in their research. As a result, they strongly explained that there is a negative relationship from money supply to stock price and also a negative relationship from interest rate to stock price. Paritosh Kumar (2008), Is Indian Stock Market Related with Exchange Rate and Inflation, said that short-term foreign assets are fully exposed to exchange risk and exchange rates movement might affect the domestic companies. He also strongly believes that, a relationship between exchange rates and stock prices do exists but it just does not rule out any relationship between them. The end result for this research is he admit that there is a significance relationship even though it shows a negative sign which means to a negative relationship. According to Shamail Arzu (2008), Relationship Between Exchange Rates and Stock Prices comes to the conclusion which changes immediately in currency can absolutely affect ups and down in the stock index. Besides, he found that fluctuation in currency rates and movement in stock exchange is negatively will affect imports and exports in a country as well. Koffie Nassar (2005), Money Demand and Inflation said that by doing an analyzing data on the relationship between money supply, prices, inflation and income in Madagascar, it comes to the result which state that a negative correlation do exist and inflation expectations are largely determined by every past events. By controlling inflation in the short run, most of the broad money growth can be effective. It concludes that the variables are not strongly significance with the dependent variable. Ramin Cooper Maysami, Lee Chuin Howe and MohamadAtkin Hamzah (2004), Co-integration Evidence From Stock Exchange of Singapores All-S Stock Indices said that the objective of their research is to examine the relationship between selected macroeconomic variables with Singapore Exchange Stock Indices. The result highlighted that the majority of the macroeconomic variables includes broad money, exchange rates and other factors are much more seriously have strong casual relationship with Singapore Exchange Stock Indices. According to Chandran V.G.R and Norazman Shah Abd Rahman (2004), entitled Causality between Money Supply and Stock Prices: A Preliminary Investigation on Malaysian Stock Market, help the researchers in order to observed the relationship between money supply and stock prices. However, based on this study, researchers are using a simple bivariate Granger causality to test the Malaysian stock market. It shows that by predicting the changes in money supply, thus it may afford for better understanding in stock prices. Ming-Yu Cheng and Hui-Boon Tan (2002), entitled Inflation in Malaysia, sait that the objective of this study is to identify either it contribute to the significance relationship or not. Both researchers come to the same conclusion where based on the variables that they have been discussed, it still significance but it cannot be calssified as strong significance. According to Professor J.P.Gupta, Professor Alian Chevalier and Fran Sayekt (2000), entitled The Casuality between Interest Rate, Exchange Rate and Stock Price in Emerging Markets: The Case of the Jakarta Stock Exchange highlighted that stock market are very complex and it can be very sensitive to exchange rates and interest rates. Any movement in stock market will totally affect the economy. When interest rate and exchange rates are fluctuating, it will cause a bad effect. Other than that, they agreed that interest rate and stock prices are independent series for most of the time and it a same result found in exchange rates which have strong relationship with stock price. Both variables are significance relationship towards stock price. CHAPTER THREE RESEARCH METHODOLOGY To find the result on this research, there are certain methods that can be used in order to determine the information data of relationship between the given variables. In this study, to determine the relationship between dependent variables (KLSE Composite Index) with independent variables (Inflation Rates, Money Supply and Exchange Rates), an analysis named the Multiple Regression Analysis and Statistical Package of Social Science (SPSS) is applied in order to analyze data and enhance better understanding for the result. This study covers the period from 2005 to 2010. These methods are the most applicable because it will evaluate the relationship between the variables. SPSS is used to interpret a result in research while Multiple Regression Analysis is used to measure the linear association between dependent variable and independent variables 3.2 DATA SOURCES Most of the data for this study are come from the secondary data. The closing prices of KLSE Composite Index at the end of each period were gathered and the data were achieved from Quarterly closing prices KLSE Composite Index over the period 2005 to 2010. Data for the independent variables, which are money supply (M3), inflation rate (CPI) and exchange rate were achieved from Monthly Statistical Bulletin issued by Central Bank of Malaysia (Bank Negara Malaysia) from 2005 until 2010. 3.3 THE DATA Based on this study, all the relevant data are the secondary data. There are: KLSE COMPOSITE INDEX Kuala Lumpur Stock Exchange (KLSE), which now known as Bursa Malaysia Berhad is a place for traders to do trading. It contains many counters where each of the counters is for different companies. Besides, it is a self regulatory organization that administers the conduct of its members and also members of stock broking companies. The data for KLSE were gathered from KLSE Yahoo Finance. MONEY SUPPLY Money supply is a total supply of money circulation use in economy. There are several types of measurement in money supply which known as M1, M2 and M3. In this study, researcher focuses more on M3. M3 which refer to broad money are consists of foreign currency deposits, saving deposits, fixed deposits, negotiable certificate deposit (NIDS) and repurchase agreement (Repos). The foreign currency deposits refer to deposit of foreign currencies hold by commercial banks, merchant bank and non-bank Malaysian residents. In this research, the data were taken from Monthly Statistical Bulletin of Bank Negara Malaysia. INFLATION RATES In economics, the inflation rate is a measure of inflation. In this study, the data were obtained from Monthly Statistical Bulletin of Bank Negara Malaysia. EXCHANGE RATES Exchange rate or also known as foreign exchange rate shows the relationship of currency between one country with others. In this research, researcher focuses on Malaysian (MYR) currency with US currency (USD). Increase in Malaysia ringgit means a decrease in the cost of exchange of Malaysian currency with other currency. The data for exchange rate were taken from Monthly Statistical Bulletin of Bank Negara Malaysia. THEORETICAL FRAMEWORK In this study, KLSE Composite Index is chosen as dependent variable and money supply, inflation and exchange rates are classified as the independent variables. This means that the changes in KLSE Composite Index actually depend on the changes in money supply, inflation rates and exchange rates. The diagram of the relationship between both dependent variable and independent variables are being showed below: Money Supply Inflation Rates Kuala Lumpur Stock Exchange Composite Index (KLSE-CI) Exchange Rates Dependent Variable Independent Variable HYPOTHESES This study consists of Null Hypotheses (H0) and Alternative Hypotheses (H1). The hypotheses are as showed below: Hypotheses 1 H0: There is no relationship between money supply and KLSE Composite Index. H1: There is a relationship between money supply and KLSE Composite Index. Hypotheses 2 H0: There is no relationship between inflation rate and KLSE Composite Index. H1: There is a relationship between inflation rate and KLSE Composite Index. Hypotheses 3 H0: There is no relationship between exchange rate and KLSE Composite Index. H1: There is a between exchange rate and KLSE Composite Index. MULTIPLE REGRESSION ANALYSIS Data for this study were being analyzed by using the Statistical Package of Social Science (SPSS) Software. Hypotheses are used to determine the relationship between dependent variables (KLSE Composite Index) and independent variables (money supply-M3, inflation rate, exchange rate). In order to determine the influential of money supply, interest rate and exchange rate towards KLSE Composite Index, a Multiple Regression Analysis is applied. This multiple regression analysis used the independent variables to predict the dependent variables. The Estimated Regression Model as follows: Y = c + ÃŽ ²M + ÃŽ ²F + ÃŽ ²X + ÃŽ µ Where: Y = Dependent Variable (KLSE Composite Index) c = Constant Term ÃŽ ² = Regression Coefficient (Beta Measurement) M = Independent Variable (Money Supply-M3) F = Independent Variable (Inflation Rate) X = Independent Variable (Exchange Rate) ÃŽ µ = Error Term COEFFICIENT RELATIONSHIP Researcher used R2, T-Statistic and F-Statistic to determine the relationship between money supply, inflation rate and exchange rate towards KLSE Composite Index. COEFFICIENT OF DETERMINATION (R2) Coefficient of Determination or known as R2 is the most usually used in linear regression. R2 present how well the regression model describes changes in the value of dependent variable (Y) that can be explained by the independent variables. It shows how the line fits the data. The value of R2 is range from zero to one. The range indicates whether the correlation is strong or not. If R2 is zero, the equation explains that there is no relationship between the dependent variable and independent variables. While if the R2 is 1, the equation explains the relationship between dependent variable and independent variables are do exist. The higher the value of R2, the better the regression equation will be. When value of R2 is higher, the exploratory power will increase and be more accurate for forecasting purposes. An equation of R2: Total VariationR2 = Total Explain Variation This equation are used when researcher decide to calculate by manual. However, in this study, researcher has chosen Statistical Package of Social Science (SPSS) in order to calculate all the data that are gathered from Bank Negara Malaysia for the 60 months periods. The result of this R2 will be shows and explains in analysis and findings. It also will conclude whether all independent variables will explain the dependent variable or it will not. T – STATISTICS ( T-STAT) T- Statistic is used to decide whether to accept or reject the null hypotheses and also to analyze the significant relationship between dependent variable and independent variables. The value in t-table will be compared with the calculated t-value. T is critical value at certain significant T = (n – k – 1) n = number of observations / years k = number of independent variables If the computed t-statistic is greater than t-critical value at certain significant levels, thus reject H0. If the computed t-statistic is lower than t-critical value at certain significant levels, thus accept H0. T-Computed > T Critical Value, accept H1 and reject H0 T-Computed F – STATISTICS (F-STAT) Researcher is also using F-Statistic in order to know the consistency of overall regression equation. F-Statistic will evaluate the significant of each individual component of entire regression model. Equation of F-Statistic is as follows: F = Explained Variation / (k-1) Unexplained Variation / (n-k) Where: F = critical value k = number of independent variable n = number of observation If the computed F-Statistic is greater than F-Statistic value at certain significant level, then reject H0. It is a vice versa when the computed F-Statistic is lower than F-Statistic value at certain significant level, then accept H0. F-Computed > F-Critical Value, accept H1 F-Computed DURBIN WATSON STATISTIC Durbin Watson is used to test the presence of auto correlation. It is appears when time series data are used. Auto correlation gives a downward bias to the standard error of the estimated coefficient (t-value are exaggerated) and hence the estimated coefficient is concluded to be significant when in reality they are not. There are three possibilities where the auto correlation problem might arise: When the independent variables are duplicated When some of the independent variables are miss specified When some important variables are found missing in the model When successive residuals are positively auto correlated, the value of D will be approach zero. If the residual are not correlated, the value of D will be closed to zero. If there is a negative auto correlated, the value of D will be greater than two and could even approach its minimum value of four. Equation of Durbin Watson Statistic (D) is defining as: D = PEARSON CORRELATION ANALYSIS Pearson correlation analysis is a statistical analysis to see the direction and to describe the strength and significance of the relationships between the dependent variables and the independent variables. According to Pearson correlation analysis, the result can be ranked as follows: Less than 0.30 = Week Relationship 0.30 to 0.49 = Moderate Relationship 0.50 to 0.69 = Strong Relationship 0.70 to 0.99 = Very Strong Relationship 1.0 = Perfect Relationship CHAPTER FOUR ANALYSIS AND FINDINGS This chapter provides the findings which are obtained from the Statistical Package for Social Science (SPSS). Through SPSS, the relationship between Money Supply (M3), Inflation Rate and Exchange Rate with KLSE Composite Index can be identified. The researcher used regression in order to measure the linear relationship between dependent variable and independent variables. Coefficient of determinations (R2), T- statistic and F- statistic are the methodologies that being used by researcher to interpret the multiple regressions. All the data were calculated on monthly basis for 60 months period (5-year), which are from January 2006 to December 2010. Table1: Data gathered from monthly statistical bulletin BNM YEAR KLSE M3 INFLATION EXCHANGE Jan-06 914.0100 679276.3000 3.2500 3.7510 Feb-06 928.9400 686040.7000 3.2400 3.7135 Mar-06 926.6300 690830.2000 4.7600 3.6860 Apr-06 949.2300 697329.4000 4.5500 3.6255 May-06 927.7800 699037.4000 3.9100 3.6290 Jun-06 914.6900 700537.8000 3.9000 3.6750 Jul-06 935.8500 705585.5000 4.1100 3.6535 Aug-06 958.1200 717140.9000 3.2800 3.6770 Sep-06 967.5500 716265.6000 3.2700 3.6845 Oct-06 988.3000 725351.2000 3.0700 3.6480 Nov-06 1080.6600 737229.6000 2.9600 3.6180 Dec-06 1096.2400 760301.6000 3.0500 3.5315 Jan-07 1189.3500 776100.8000 3.2400 3.5015 Feb-07 1196.4500 789147.0000 3.1400 3.5060 Mar-07 1246.8700 789222.5000 1.5500 3.4560 Apr-07 1322.2500 796487.8000 1.5500 3.4230 May-07 1346.8900 799238.9000 1.4500 3.4045 Jun-07 1354.3800 788610.8000 1.4400 3.4545 Jul-07 1373.7100 799902.2000 1.6300 3.4540 Aug-07 1273.9300 801630.3000 1.9200 3.5035 Sep-07 1336.3000 804248.7000 1.8300 3.4170 Oct-07 1413.6500 807425.8000 1.9200 3.3418 Nov-07 1396.9800 808446.5000 2.3000 3.3585 Dec-07 1445.0300 832737.8000 2.3900 3.3065 Jan-08 1393.2500 867682.2000 2.2800 3.2360 Feb-08 1357.4000 876225.7000 2.6600 3.1890 Mar-08 1247.5200 884372.9000 2.7600 3.1875 Apr-08 1279.8600 893619.3000 3.0500 3.1580 May-08 1276.1000 898652.6000 3.8100 3.2435 Jun-08 1186.5700 899120.0000 7.6900 3.2665 Jul-08 1163.0900 912693.3000 8.5100 3.2630 Aug-08 1100.5000 904562.2000 8.5000 3.3895 Sep-08 1018.6800 912780.0000 8.2100 3.4575 Oct-08 863.6100 900442.6000 7.6300 3.5625 Nov-08 866.1400 909230.6000 5.7100 3.6175 Dec-08 876.7500 931864.7000 4.3900 3.4640 YEAR KLSE M3 INFLATION EXCHANGE Jan-09 884.4500 946005.1000 3.9100 3.6085 Feb-09 890.6700 944320.5000 3.7100 KLSE Relationship with Inflation and Exchange Rates KLSE Relationship with Inflation and Exchange Rates Capital market is a financial market which is for long term investment funds with the maturities greater than one year. In USA, capital market was controlled by security exchange and it was established in 1934. While in Malaysia, Bank Negara Malaysia (BNM) capital market has been developed since 1980s. It is a market where securities such as common stock, preferred stock and bonds are issued or traded. Companies, government and other organizations use capital market in order to raise funds for their operations. In other words, capital market helps organizations or institutions whether in public and private sector to gain capital. Besides that, capital market also traded an investment funds like debt, equity and mortgage loan. The central bank, Bank Negara Malaysia (BNM) also played a very important role in develop and care of this market. Kuala Lumpur Stock Exchange or more popular known as KLSE is the only one stock market in this country. All the listed securities in Malaysia are done by KLSE since the KLSE is a self-regulatory. Based on this study, KLSE Composite Index are represented by the stock market, money supply represented by M3, consumer price index represented the inflation rates and exchange rates represented by the Malaysian Ringgit (RM) against the US Dollar. In KLSE it has their own rules where buyers and sellers trade their transaction with each other. Since KLSE was established, there were ups and down movement of KLSE causes by many variables. To measure the performance of stock market, stock index is used. Besides, it can be used by all investors as a benchmark for them to evaluate the performance of holding shares. KLSE Composite Index is comprised of 100 companies listed on the exchange. The movement of stock prices can be triggered by the movement in financial sector in particular, that is the money supply. From this situation, there might be a relationship between KLSE Composite Index with money supply. A negative relationship between stock market and inflation in India and by previous study that also comes out with the same result might support the relationship between KLSE Composite Index with inflation rates. The motivation of this study is to find out whether there is a relationship between KLSE Composite Index with the level of money supply, inflation rates and exchange rates. Thus, if the Malaysian economic are facing with inflation, the stock price will be low and vice versa. 1.2 BACKGROUND OF THE STUDY Kuala Lumpur Stock Exchange (KLSE) is a formal stock market and it is widely constructed such as the composite index, EMAS index, and the various sector indices of tin, plantation, hotel, services, automobile, industrial and properties. KLSE is a self-regulatory organization and has emerged as one of the top performing bourses in developing countries in 1992. Based on the previous study, stock index is used to measure the performance of all stock market. KLSE calculate the index for each main sector traded however, mostly it will use the KLSE Composite Index because it will comprise the stocks traded on the KLSE. Since it is the only stock market in Malaysia, the monitoring and supervising do by Minister of Finance (MOF) and by Securities Commission (SC). KLSE Composite Index has been introduced on 1986 where one stock index was needed which can act to stock market performance and Malaysia economy. All the data that has been calculated electronically by KLSE can be taken by brokers companies and other customers at any time since the index is base on minute to minute. KLSE are really a well known stock market in the world. In 1970s and 1980s, KLSE had major development until it had become one of the largest market capitalization bourses in South-East Asia. However, when Singapore out from Malaysia in 1965, the Stock Exchange of Malaysia then, known as the Stock Exchange of Malaysia and Singapore. In spite of, in 1973 when the currency exchange between Malaysia and Singapore drop, again it changes the name and become Kuala Lumpur Stock Exchange and Stock Exchange of Singapore. In 2004, KLSE has changed it name and now it is known as Bursa Malaysia Berhad. This Bursa Malaysia focused to improve the products and services that they conduct. While in year 2005, Bursa Malaysia was listed on the Main Board of Bursa Malaysia Security Berhad. While in KLSE Composite Index, it has been accepted as a local stock market barometer when it was introduced in 1986. From the investor side, the major factors that determine the stock market are the climate of economic. This study investigates the impact of inflation rates, exchange rates and money supply towards stock market. Based on the previous study, there are several researches that have been handled to investigate this dependent variable and independent variables. 1.3 PROBLEM STATEMENT This study is to analyze whether there are significant relationship between KLSE Composite Index as a dependent variables with the money supply (M3), inflation rate and exchange rate as an independent variables. Malaysia stock market performance nowadays has staged at an encouraging recovery and gain in selected blue chips and this can be proved when in 2007, Malaysias economy placed the third largest economy in Southeast Asia. Malaysian stock market is able to provide profitability investment since strong domestic spending give benefit sector trading in Kuala Lumpur Stock Exchange (KLSE). The movement of KLSE Composite Index Inflation depends on many economic factors. For this study, researcher tries to figure out whether the economic factors could affect the performance of KLSE Composite Index. The economic factors for this study refer to money supply, inflation rates and exchange rates. Researcher also tries to figure out, whether the economic factors could be major elements of stock investments. Inflation is happen when a country has printed too much money which will increase the rate of consumer price and also will affect the cost of living. Good news for inflation is, the last report of inflation rate in Malaysia is about only two percent which is in November 2010. There was a negative relationship between inflation rate and stock price. This is because during inflation, cost of living and cost of production will increase and investor will not invest as before inflation happen. Exchange rate refers as a payment or change for person that want to do exchange in currency from one country to currency of other country. While for the study in relationship with exchange rate, it also showed a negative relationship. When there is an increment in level of currency, the charges for each exchange also will be affected. This means they have to change the currency in a large amount and it might affect their money. Therefore, the rational of doing this research is to find out, whether KLSE Composite Index are linked to economic condition in level of money supply, inflation rate and exchange rate? 1.4 OBJECTIVES OF THE STUDY This study is to figure out the relationship, movement and performance of dependent variable and independent variables. It has divided into two types of objectives. The objectives of this study are: 1.4.1 GENERAL OBJECTIVES The major objective of this study is to identify the relationship between dependent variable (KLSE-CI) and independent variables which are money supply, inflation rates and exchange rates in order to know whether there is any positive or negative relationship. 1.4.2 SPECIFIC OBJECTIVES To determine the relationship between inflation rates and KLSE Composite Index To determine the relationship between exchange rates and KLSE Composite Index To identify whether changes in variables are significant in affecting the movement of KLSE Composite Index 1.4.3 NULL HYPOTHESES (H0) There is no significant relationship between KLSE Composite Index (dependent variables) with money supply, inflation rates and exchange rates (independent variables). 1.5 SCOPE OF THE STUDY This research paper is to examine the relationship between Kuala Lumpur Stock Exchange Composite Index with level of money supply (M3), inflation rates (CPI) and exchange rates (Ringgit against US Dollar). The data for this study are gathered a period for 60 months (5 years) from 2006 to 2010. As been stated, the multiple regression analysis is used to measure the relationship between dependent variable and independent variables with monthly basis issued by Bank Negara Malaysia (Central Bank of Malaysia). 1.6 LIMITATION OF THE STUDY There are some limitations in conducting this research. The limitations that have been highlighted are as follow: Limited variables chosen make it difficult to interpret the relationship of dependent variable and independent variables and it been conclude as not really efficient. The data collected are mostly from internet, journals, newspapers and economic reports. Unreliable collected data will lead to unreliable results. The data for this study is gathered for monthly collective data which taken from Bank Negara Malaysia. Only three independent variables (money supply, inflation rates and exchange rates) have been chosen since there are too many internal factors that can classify the relationship and can affect KLSE Composite Index. This study cover period for 60 months (5 years) 2005 to 2010, are considered quite a short period compare to other research. The finding might not be perfectly accurate. For this research, only one country is focused which is Malaysia in order to limit the scope of research. The limitation for this research can be more reliable if the data taken based on weekly basis. Since best research comes with accurate data from weekly or daily basis data. 1.7 SIGNIFICANCE OF THE STUDY This study provides some useful information about the relationship between KLSE Composite Index with levels of inflation rates, exchange rates and money supply. The significant of this study is to build better understanding for readers and useful information to investors in making good investment decision. In addition, this study provides two important aspects in Malaysia economy (exchange rates and inflation rates) which can help companies in Malaysia to make decisions to issue their shares during the period of good economic and during the economic when it face with high inflation. Studies examining the relationship between money supply, inflation rates and exchange rates under Malaysian experiences are very limited, and it is hope from the available findings from this study, it can be use as a direction or reference for further research. CHAPTER 2 2.1 LITERATURE REVIEW According to Ooi Beng Hooi (2011), entitled The Relationship between KLCI and Ringgit Malaysia against US Dollar, he would like to explain the relationship between stock price and currency exchange rate. Researcher had done his research in four years starting from July 2005 until July 2009. Last, he comes out with the conclusion that state that a significance and strong relationship are explained in both KLCI and Ringgit Malaysia against US Dollar. The results of this research are really useful and in can be us as references for future study. According to Noor Azlinna Azizan and Hasyaliny Sulong (2011), entitled The Preparation Towards Asean Exchange Link between Malaysia Stock Market and Asia Countries Macroeconomics Variables Interdependency, they investigated the interaction between stock prices and macroeconomic variables in Asia countries include Malaysia, Indonesia, Singapore, Thailand, India, China, South Korea, Japan and Taiwan to view the interdependency of our stock market to other Asia countries macroeconomics variables. As a result, the researcher found out that only stock price and exchange rates have the most impact to our stock market. According to Oguzhan Aydamer (2009), with the topic of The Relationship Between Stock Prices and Exchange Rates Evidence From Turkey, he disclose the relationship between macroeconomics variables such as money supply, inflation rates, exchange rates, interest rates and stock price. This research is done for 8 years from February 2001 to January 2008 which focuses in one country that is Turkey. After all the research has been made, he then concludes that there is a negative relationship between exchange rates and all stock market indices. Besides, he also stated that other variables are also having negative relationship. According to Aisyah Abdul Rahman, Noor Zahirah Mohd Sidek and Fauziah Hanim Tafri (2009), a research on Macroeconomic Determinants of Malaysian Stock Market, are investigates the relations between selected macroeconomic variables and stock prices for the case of Malaysia. In addition, this research highlights that Malaysian stock market has weak interaction with money supply, exchange rates and interest rates as compared to the industrial production index. Sara Alataqi and Shokoofeh Fazel (2008), with topic Can Money Supply Predict Stock Price said that, when they refer to other previous researcher, most of them come with the same result which a positive casual relationship between money supply and stock prices is frequently hypothesized by some financial analysis. While for both of these researchers, Sara Alataqi and Shokoofeh Fazel theier belive are against with that statement. From the research they have made, the results that they get are totally different with the previous study. They have proved the reason and all the calculated data in their research. As a result, they strongly explained that there is a negative relationship from money supply to stock price and also a negative relationship from interest rate to stock price. Paritosh Kumar (2008), Is Indian Stock Market Related with Exchange Rate and Inflation, said that short-term foreign assets are fully exposed to exchange risk and exchange rates movement might affect the domestic companies. He also strongly believes that, a relationship between exchange rates and stock prices do exists but it just does not rule out any relationship between them. The end result for this research is he admit that there is a significance relationship even though it shows a negative sign which means to a negative relationship. According to Shamail Arzu (2008), Relationship Between Exchange Rates and Stock Prices comes to the conclusion which changes immediately in currency can absolutely affect ups and down in the stock index. Besides, he found that fluctuation in currency rates and movement in stock exchange is negatively will affect imports and exports in a country as well. Koffie Nassar (2005), Money Demand and Inflation said that by doing an analyzing data on the relationship between money supply, prices, inflation and income in Madagascar, it comes to the result which state that a negative correlation do exist and inflation expectations are largely determined by every past events. By controlling inflation in the short run, most of the broad money growth can be effective. It concludes that the variables are not strongly significance with the dependent variable. Ramin Cooper Maysami, Lee Chuin Howe and MohamadAtkin Hamzah (2004), Co-integration Evidence From Stock Exchange of Singapores All-S Stock Indices said that the objective of their research is to examine the relationship between selected macroeconomic variables with Singapore Exchange Stock Indices. The result highlighted that the majority of the macroeconomic variables includes broad money, exchange rates and other factors are much more seriously have strong casual relationship with Singapore Exchange Stock Indices. According to Chandran V.G.R and Norazman Shah Abd Rahman (2004), entitled Causality between Money Supply and Stock Prices: A Preliminary Investigation on Malaysian Stock Market, help the researchers in order to observed the relationship between money supply and stock prices. However, based on this study, researchers are using a simple bivariate Granger causality to test the Malaysian stock market. It shows that by predicting the changes in money supply, thus it may afford for better understanding in stock prices. Ming-Yu Cheng and Hui-Boon Tan (2002), entitled Inflation in Malaysia, sait that the objective of this study is to identify either it contribute to the significance relationship or not. Both researchers come to the same conclusion where based on the variables that they have been discussed, it still significance but it cannot be calssified as strong significance. According to Professor J.P.Gupta, Professor Alian Chevalier and Fran Sayekt (2000), entitled The Casuality between Interest Rate, Exchange Rate and Stock Price in Emerging Markets: The Case of the Jakarta Stock Exchange highlighted that stock market are very complex and it can be very sensitive to exchange rates and interest rates. Any movement in stock market will totally affect the economy. When interest rate and exchange rates are fluctuating, it will cause a bad effect. Other than that, they agreed that interest rate and stock prices are independent series for most of the time and it a same result found in exchange rates which have strong relationship with stock price. Both variables are significance relationship towards stock price. CHAPTER THREE RESEARCH METHODOLOGY To find the result on this research, there are certain methods that can be used in order to determine the information data of relationship between the given variables. In this study, to determine the relationship between dependent variables (KLSE Composite Index) with independent variables (Inflation Rates, Money Supply and Exchange Rates), an analysis named the Multiple Regression Analysis and Statistical Package of Social Science (SPSS) is applied in order to analyze data and enhance better understanding for the result. This study covers the period from 2005 to 2010. These methods are the most applicable because it will evaluate the relationship between the variables. SPSS is used to interpret a result in research while Multiple Regression Analysis is used to measure the linear association between dependent variable and independent variables 3.2 DATA SOURCES Most of the data for this study are come from the secondary data. The closing prices of KLSE Composite Index at the end of each period were gathered and the data were achieved from Quarterly closing prices KLSE Composite Index over the period 2005 to 2010. Data for the independent variables, which are money supply (M3), inflation rate (CPI) and exchange rate were achieved from Monthly Statistical Bulletin issued by Central Bank of Malaysia (Bank Negara Malaysia) from 2005 until 2010. 3.3 THE DATA Based on this study, all the relevant data are the secondary data. There are: KLSE COMPOSITE INDEX Kuala Lumpur Stock Exchange (KLSE), which now known as Bursa Malaysia Berhad is a place for traders to do trading. It contains many counters where each of the counters is for different companies. Besides, it is a self regulatory organization that administers the conduct of its members and also members of stock broking companies. The data for KLSE were gathered from KLSE Yahoo Finance. MONEY SUPPLY Money supply is a total supply of money circulation use in economy. There are several types of measurement in money supply which known as M1, M2 and M3. In this study, researcher focuses more on M3. M3 which refer to broad money are consists of foreign currency deposits, saving deposits, fixed deposits, negotiable certificate deposit (NIDS) and repurchase agreement (Repos). The foreign currency deposits refer to deposit of foreign currencies hold by commercial banks, merchant bank and non-bank Malaysian residents. In this research, the data were taken from Monthly Statistical Bulletin of Bank Negara Malaysia. INFLATION RATES In economics, the inflation rate is a measure of inflation. In this study, the data were obtained from Monthly Statistical Bulletin of Bank Negara Malaysia. EXCHANGE RATES Exchange rate or also known as foreign exchange rate shows the relationship of currency between one country with others. In this research, researcher focuses on Malaysian (MYR) currency with US currency (USD). Increase in Malaysia ringgit means a decrease in the cost of exchange of Malaysian currency with other currency. The data for exchange rate were taken from Monthly Statistical Bulletin of Bank Negara Malaysia. THEORETICAL FRAMEWORK In this study, KLSE Composite Index is chosen as dependent variable and money supply, inflation and exchange rates are classified as the independent variables. This means that the changes in KLSE Composite Index actually depend on the changes in money supply, inflation rates and exchange rates. The diagram of the relationship between both dependent variable and independent variables are being showed below: Money Supply Inflation Rates Kuala Lumpur Stock Exchange Composite Index (KLSE-CI) Exchange Rates Dependent Variable Independent Variable HYPOTHESES This study consists of Null Hypotheses (H0) and Alternative Hypotheses (H1). The hypotheses are as showed below: Hypotheses 1 H0: There is no relationship between money supply and KLSE Composite Index. H1: There is a relationship between money supply and KLSE Composite Index. Hypotheses 2 H0: There is no relationship between inflation rate and KLSE Composite Index. H1: There is a relationship between inflation rate and KLSE Composite Index. Hypotheses 3 H0: There is no relationship between exchange rate and KLSE Composite Index. H1: There is a between exchange rate and KLSE Composite Index. MULTIPLE REGRESSION ANALYSIS Data for this study were being analyzed by using the Statistical Package of Social Science (SPSS) Software. Hypotheses are used to determine the relationship between dependent variables (KLSE Composite Index) and independent variables (money supply-M3, inflation rate, exchange rate). In order to determine the influential of money supply, interest rate and exchange rate towards KLSE Composite Index, a Multiple Regression Analysis is applied. This multiple regression analysis used the independent variables to predict the dependent variables. The Estimated Regression Model as follows: Y = c + ÃŽ ²M + ÃŽ ²F + ÃŽ ²X + ÃŽ µ Where: Y = Dependent Variable (KLSE Composite Index) c = Constant Term ÃŽ ² = Regression Coefficient (Beta Measurement) M = Independent Variable (Money Supply-M3) F = Independent Variable (Inflation Rate) X = Independent Variable (Exchange Rate) ÃŽ µ = Error Term COEFFICIENT RELATIONSHIP Researcher used R2, T-Statistic and F-Statistic to determine the relationship between money supply, inflation rate and exchange rate towards KLSE Composite Index. COEFFICIENT OF DETERMINATION (R2) Coefficient of Determination or known as R2 is the most usually used in linear regression. R2 present how well the regression model describes changes in the value of dependent variable (Y) that can be explained by the independent variables. It shows how the line fits the data. The value of R2 is range from zero to one. The range indicates whether the correlation is strong or not. If R2 is zero, the equation explains that there is no relationship between the dependent variable and independent variables. While if the R2 is 1, the equation explains the relationship between dependent variable and independent variables are do exist. The higher the value of R2, the better the regression equation will be. When value of R2 is higher, the exploratory power will increase and be more accurate for forecasting purposes. An equation of R2: Total VariationR2 = Total Explain Variation This equation are used when researcher decide to calculate by manual. However, in this study, researcher has chosen Statistical Package of Social Science (SPSS) in order to calculate all the data that are gathered from Bank Negara Malaysia for the 60 months periods. The result of this R2 will be shows and explains in analysis and findings. It also will conclude whether all independent variables will explain the dependent variable or it will not. T – STATISTICS ( T-STAT) T- Statistic is used to decide whether to accept or reject the null hypotheses and also to analyze the significant relationship between dependent variable and independent variables. The value in t-table will be compared with the calculated t-value. T is critical value at certain significant T = (n – k – 1) n = number of observations / years k = number of independent variables If the computed t-statistic is greater than t-critical value at certain significant levels, thus reject H0. If the computed t-statistic is lower than t-critical value at certain significant levels, thus accept H0. T-Computed > T Critical Value, accept H1 and reject H0 T-Computed F – STATISTICS (F-STAT) Researcher is also using F-Statistic in order to know the consistency of overall regression equation. F-Statistic will evaluate the significant of each individual component of entire regression model. Equation of F-Statistic is as follows: F = Explained Variation / (k-1) Unexplained Variation / (n-k) Where: F = critical value k = number of independent variable n = number of observation If the computed F-Statistic is greater than F-Statistic value at certain significant level, then reject H0. It is a vice versa when the computed F-Statistic is lower than F-Statistic value at certain significant level, then accept H0. F-Computed > F-Critical Value, accept H1 F-Computed DURBIN WATSON STATISTIC Durbin Watson is used to test the presence of auto correlation. It is appears when time series data are used. Auto correlation gives a downward bias to the standard error of the estimated coefficient (t-value are exaggerated) and hence the estimated coefficient is concluded to be significant when in reality they are not. There are three possibilities where the auto correlation problem might arise: When the independent variables are duplicated When some of the independent variables are miss specified When some important variables are found missing in the model When successive residuals are positively auto correlated, the value of D will be approach zero. If the residual are not correlated, the value of D will be closed to zero. If there is a negative auto correlated, the value of D will be greater than two and could even approach its minimum value of four. Equation of Durbin Watson Statistic (D) is defining as: D = PEARSON CORRELATION ANALYSIS Pearson correlation analysis is a statistical analysis to see the direction and to describe the strength and significance of the relationships between the dependent variables and the independent variables. According to Pearson correlation analysis, the result can be ranked as follows: Less than 0.30 = Week Relationship 0.30 to 0.49 = Moderate Relationship 0.50 to 0.69 = Strong Relationship 0.70 to 0.99 = Very Strong Relationship 1.0 = Perfect Relationship CHAPTER FOUR ANALYSIS AND FINDINGS This chapter provides the findings which are obtained from the Statistical Package for Social Science (SPSS). Through SPSS, the relationship between Money Supply (M3), Inflation Rate and Exchange Rate with KLSE Composite Index can be identified. The researcher used regression in order to measure the linear relationship between dependent variable and independent variables. Coefficient of determinations (R2), T- statistic and F- statistic are the methodologies that being used by researcher to interpret the multiple regressions. All the data were calculated on monthly basis for 60 months period (5-year), which are from January 2006 to December 2010. Table1: Data gathered from monthly statistical bulletin BNM YEAR KLSE M3 INFLATION EXCHANGE Jan-06 914.0100 679276.3000 3.2500 3.7510 Feb-06 928.9400 686040.7000 3.2400 3.7135 Mar-06 926.6300 690830.2000 4.7600 3.6860 Apr-06 949.2300 697329.4000 4.5500 3.6255 May-06 927.7800 699037.4000 3.9100 3.6290 Jun-06 914.6900 700537.8000 3.9000 3.6750 Jul-06 935.8500 705585.5000 4.1100 3.6535 Aug-06 958.1200 717140.9000 3.2800 3.6770 Sep-06 967.5500 716265.6000 3.2700 3.6845 Oct-06 988.3000 725351.2000 3.0700 3.6480 Nov-06 1080.6600 737229.6000 2.9600 3.6180 Dec-06 1096.2400 760301.6000 3.0500 3.5315 Jan-07 1189.3500 776100.8000 3.2400 3.5015 Feb-07 1196.4500 789147.0000 3.1400 3.5060 Mar-07 1246.8700 789222.5000 1.5500 3.4560 Apr-07 1322.2500 796487.8000 1.5500 3.4230 May-07 1346.8900 799238.9000 1.4500 3.4045 Jun-07 1354.3800 788610.8000 1.4400 3.4545 Jul-07 1373.7100 799902.2000 1.6300 3.4540 Aug-07 1273.9300 801630.3000 1.9200 3.5035 Sep-07 1336.3000 804248.7000 1.8300 3.4170 Oct-07 1413.6500 807425.8000 1.9200 3.3418 Nov-07 1396.9800 808446.5000 2.3000 3.3585 Dec-07 1445.0300 832737.8000 2.3900 3.3065 Jan-08 1393.2500 867682.2000 2.2800 3.2360 Feb-08 1357.4000 876225.7000 2.6600 3.1890 Mar-08 1247.5200 884372.9000 2.7600 3.1875 Apr-08 1279.8600 893619.3000 3.0500 3.1580 May-08 1276.1000 898652.6000 3.8100 3.2435 Jun-08 1186.5700 899120.0000 7.6900 3.2665 Jul-08 1163.0900 912693.3000 8.5100 3.2630 Aug-08 1100.5000 904562.2000 8.5000 3.3895 Sep-08 1018.6800 912780.0000 8.2100 3.4575 Oct-08 863.6100 900442.6000 7.6300 3.5625 Nov-08 866.1400 909230.6000 5.7100 3.6175 Dec-08 876.7500 931864.7000 4.3900 3.4640 YEAR KLSE M3 INFLATION EXCHANGE Jan-09 884.4500 946005.1000 3.9100 3.6085 Feb-09 890.6700 944320.5000 3.7100

Essay --

I am hired as an Information Security Engineer for a videogame development company. The organization network structure is given in the diagram. I was notified that malicious activities are taking place in the network structure. They can effect protection of the intellectual property and highly sensitive data maintained by the organization. I am assigned to resolve these issues that arise in the network structure. In this document I will analyze and assess potential malicious attacks and threats that may be carried out against the network along with potential vulnerabilities that may exist in the documented network. Also I will tell the potential impact of all malicious attacks & threats and identified vulnerabilities to the network and the organization. Malicious attacks and threats to network are attacks that can be done by exploiters and hackers to get into network and steal the network information. There are different types of malicious attacks. Passive attacks look for encrypted data and perform algorithms to decrypt. They can enter the hole where encrypted data is being decrypted or look for clear passwords. In an active attack attacker bypasses or break into secured network. They can use viruses, Trojan horses, stealers, exploits or bugs (1). They can penetrate the network system to steal data or to change data or to shut down the system. A distributed attack requires that the adversary introduce code, such as a Trojan horse or back-door program, to a â€Å"trusted† component or software that will later be distributed to many other companies; users Distribution attacks focus on the malicious modification of hardware or software at the factory or during distribution. These attacks introduce malicious code such as a bac... ...nd Routing protocols. Operating system weaknesses includes operating system vulnerabilities like not updating the operating system. Configuration weaknesses include unsecured user accounts, System accounts with easily guessed passwords, Misconfigured Internet services, unsecured default settings of the software products, and misconfigured network equipment’s. Security Policy Weaknesses include lack of written security policy, poorly chosen or default passwords, inadequate monitoring and auditing, unapproved applications installation (Rufi, 2007). Mail Servers are other targets in which hackers want to gain access to network resources. Companies that access e-mail from the Internet, especially, are potential targets (Rampat). Threats can be performed to the network when attackers take advantage of the vulnerabilities and it has a negative impact on the network.

Diploma in Business Essay

Describe how marketing techniques are used to market products in two organizations.P2- describe the limitations and constrains of marketing.M1- compare marketing techniques used in marketing products in Two organizations. Answer: P1 – I am going to be talking about how marketing techniques are used to market products in two different organizations.Marketing is the process of understanding the market, within which a business operates and satisfying customers, needs in order to meet the objects of the business. The role of marketing within a particular organization will depend on the organization overall objectives. The object of many businesses is to make a profit, but it not the purpose of many voluntary and public (government owned) organization, although marketing is as equally important for them. In order successfully identify, anticipate and satisfy customer ‘needs, a businesses need to carry out market research to assess its competitive position and its customersâ⠂¬â„¢ needs.Once a business knows more about its customers and competitors it can set clear and smart marketing objectives. Unit 1 Different types of business activity and ownership Pass 1 A) Type of businesses activity If I live in a city of any size especially in an area where new people are moving in people are increasingly using the Internet to find local businesses. Microsoft can’t be local because people search jobs by region: United States, Europe and Asia etc. Oxfam is a local as well such as located in Watford High Street. Some of the businesses that can be helped by local Internet marketing include: chiropractor, computer retailer, travel agent, locksmith, massage therapist, insurance agent, real estate agent, mortgage broker, maid service hardware retailer, plumber, auto repair etc. How to use the Internet to market a local or regional business. There are many businesses in UK. It is located sites across a country. For example, Microsoft Company is found in Cambridge that is UK. Of course Oxfam is collecting money to save people and it is every where in the UK, i.e. London, Hertfordshire , Oxfordshire and Birmingham etc. they will be called National Businesses. An International business company is a legal entity incorporated in a tax haven which is free from all local taxes (except small fixed annual fees). Typically the IBC  cannot conduct business in the country of incorporation. Oxfam International is a confederation of 13 organizations working with over 3000 partners in more than 100 countries to find lasting solutions to poverty and injustice. Microsoft International Careers Newsletter, a free quarterly e-publication that will give us timely information on career opportunities at Microsoft, i.e. from Europe somewhere else. Both Microsoft and Oxfam are global companies, but Microsoft careers can take us to a global presence. They offer opportunities around the world to make an impact with the next generation of technology they’re building today. Political factors: include legal aspects (e.g. Microsoft copyright), the general political ethos. Economic factors: Marketers need to consider the state of a trading economy in the short and long-terms. This is especially true when planning for international marketing. to look at: Economic factors include the effect of the economy ( e.g. Interest rates) on individuals, and on organisations. Social factors: The social and cultural influences on business vary from country to country. It is very important that such factors are considered. Factors include demographic change (e.g. Oxfam is concerned of changes in proportion of age groups and educational changes.), other changes in social habits (where people go to shop, leisure expectations), Technological factors: Technology is vital for competitive advantage, and is a major driver of globalization. Consider the following points: There are obviously a wide range of technological factors affecting libraries and information centres (e.g. Microsoft Internet, telecommunications, and the media in which people expect to find information). Section 2 National and international laws: International laws are created by international bodies; in particular Britain can be affected by European Union laws. The European Union courts are increasingly important in making judgements which apply across the Union. European Union laws are regarded as having supremacy over national laws. * Employment: Over time a body of law or legislation has developed governing employer/employee relations and the rights of employees and employers in the workplace. The Working Time Directive, 1999 Both businesses must guarantee to all employees a maximum 48 hours working week, and a four week holiday. Employees can choose to opt out of the Working Time requirement and agree to work longer hours if they wish. * Contracts: Oxfam employees have rights under their contract of employment. An employment  contract is a legal agreement between an employer and an employee, setting out the terms on which one agrees to employ the other. The plan must set out where the business wants to go, the aims and objectives, and details of how they will accomplish these aims; it is referred to as the strategy. Aims and objectives: The aims of the companies depend on the kind of business they are. For example, the aims of Oxfam will be quite different from those of Microsoft. A firm needs to have a clear sense of direction that should be clearly communicated to all stakeholders. The aims of the businesses that can be split into objectives. The objectives set out more specifically how the aim can be achieved. For example, the aim of the Microsoft is to be the world’s leading software supplier. The objective is to undercut the price of rivals; to take over other similar makers; to increase sales by giving discount price to the customers so this shall increase the needs of the company. Internal structures: The two chosen businesses are Microsoft and Oxfam vital to generate a structure that will enable them to better meet the needs of their stakeholders. For example, an essential part of the structure of a private company is the Board of Directors with the MD at the top. By giving high priority to the Board means that the interests of the owners (stakeholders) are given priority. However, the companies need to predict for the customers that are very significant organisational structure needs to ensure there are obvious links to customers. For example, the businesses can give priority to the position of customer service managers. Make a judgement about the importance of these factors on the organisation concerned. Factors Organisations can be concerned on Political Funding Wars and conflict Government policies Elections Political trends Government term and change Trading polices Economic Interest and exchange rates Taxation changes specific to product/services Disposable income Job growth/unemployment Import/export ratios Production level Internal sources of finance i.e. banks, hire purchase, leasing and etc.

Is Herodotus the father of History or the father of lies? Essay

In Evaluating whether Herodotus was a Historian or an extremely charismatic storyteller, we must not look at Herodotus â€Å"The Histories† through a modern judgmental eye but rather through one of a person that should be fascinated that a man called himself an â€Å"inquirer† ,about a world that was filled with so much unknowns of which he discovered more of everyday. Herodotus distinguishes to his readers the mere fact that his whole life’s work could very well be continuous tale of foe and disillusion or a series of facts encrypted in his narratives about the era and events that surrounded him but all he did was simply keep a record of what people had told him and things he had afterwards investigated â€Å"I am obliged to report stories that come my way but in no way inclined to believe them. â€Å"However this also gives reason for modern historians to clash on whether Herodotus could be held liable for his legitimacy as a historian (even if the word originally meant an inquiry, exactly what Herodotus claims to have been doing)and the authenticity of his sources even if through them he has given us a further insight to the Hellenic Period. Nevertheless to accuse a person of falsity one must not only look at world’s Herodotus has perhaps created but his time in the one he actually lived in. Although little is known about Herodotus life other the fact he was born in Halicarnassus, Asia Minor and that must have been from the upper class since he had the financial capability to travel, many things can be inferred about his personality and therefore the credibility of his writing. What is clear is his curiosity about past events and different culture’s tradition all of which Herodotus wanted to learn firsthand not just by reading but rather experiencing them first hand either by visiting distant lands such as Egypt where they occurred but also by hearing about them from as many people who had lived through them themselves, only to conclude and form his own opinion. Being the first of his kind to actually research his material and question it and use a variety of different sources to create it, Herodotus having the claim to the title â€Å"Father of History† it can only assume he is worthy of it, being a pioneer and revolutionary of his era and paved the way for future inquirers to learn from his methods and investigate events, just so. Herodotus begins with a monumental phrase of his pure intentions â€Å"so that human achievement’s may not become forgotten in time and some great and marvelous deeds-some displayed by Greeks, some by barbarians-may not be without their glory; â€Å"and to discover some reasoning on the origins of why battles began â€Å"show why two people fought with each other†. He initially presented his work in oral theatrical manner to an audience of Greeks in Greece. Presented to an audience who is much unlike a reader preferences in the sense that all an audiences wishes is to be entertained rather than informed and educated. Herodotus toured Greek cities mainly during festivals, and gave personal performances to Greek audiences then got payed in return. Thefore some over dramatic elements of his writing can only be due to his attempt to captivate his audience. After Herodotus passed away editors separated his life’s work Histories into nine books. The first five books look into the past to try to explain the rise and fall of the Persian Empire. They describe the geographical elements of each state the Persians conquered and gives us insight on their customs. Herodotus uses phrases such as â€Å"according to the Persian account† to show that the Greeks probably had a different way of viewing the same event (in this case on how Io came to Egypt in Book One). The following four books is the story of the war itself, consisting of the invasions of Greece by Persian emperors Darius and Xerxes to the Greek victories at Salamis, Plataea and Mycale in 480 and 479 B. C. Herodotus work parallels mythology, and at numerous times gives mythological accounts. Mythology basically are stories based on an altered version of truth and accompanied by a vast development in imagination and creatitivy. Most of Herodotus narratives are identified as mythological which is problematic in essence. A prime example is Herodotus in his first passage in The Histories where he narrates a century old tale of Lydian Royalty and how it came to be that Lydian monarchy changed from the family of the reigning king Candaules and fell into the hands of his servant Gyges. The story has a natural appeal to any audience due to one of Herodotus’s main theme revenge and other factors such as his use of violence â€Å"one of you must die; either my husband, the author of the wicked plot; or you, who have outraged propriety by seeing me naked† , whether this story has any truth in it, it will be definitely be disregarded due to the tale being as old as it is and even if it had not been subject to neighborhood gossip, whatever source had told him the story must have been extremely well informed to know the specific details on what happened in exclusive parts of society. Thucydides who relied mainly only factual evidence and criticized Herodotus for just this greatly and for his aimless storytelling and insertion of fables in his narratives. Another landmark in Herodotus narratives is his use of oracles and their pivotal determining role not only to influence decisions but also to instill fear into obedience â€Å"not even the terrifying warnings of the oracle at Delphi† and the focus on the significance to powerful individuals for instance, according to Herodotus, one of the oracles given to the Athenians during the Persian invasion of 480 B.C. was â€Å"the wooden wall only shall not fall, but help you and your children). While some Athenians interpreted this literally that the prophecy referred to the survival of the Athenian Acropolis from destruction, others thought the â€Å"wall of wood† as ships. However, the latter interpretation failed to make sense of the last two lines of the prophecy, â€Å"Blessed Salamis, you will be the death of mothers’ sons, When the corn is scattered, or the harvest gathered in†. It was interpreted that if the Athenians were to engage the Persians in a naval battle, they were destined to lose. Despite this unfavorable omen, an Athenian commander called Themistocles decided to dismiss the oracle by arguing that if the Athenians were doomed, the tone of the oracle would have â€Å"not have been expressed in such mild language†. The Athenians were convinced, perhaps not by Themistocles’ interpretation, but by the fact that it would be better to fight the Persians, rather than not do anything, as seemingly suggested by the Oracle. The Athenians gained a decisive victory over the Persians, and was the turning point of the second Persian invasion of Greece. However After one Xerxes has a â€Å"terrifying† Dream Artabanus is portrayed to give revolutionary advice to Xerxes that â€Å"dreams do not come from god† but rather â€Å"what we have been thinking about during the day† even if ultimately it was decided that vision seen in Xerxes dream was godsent. Naturally along with his ability to dramatize and over emphasize Herodotus also has a Proathenian Bias and presents a less laudable side of Sparta and their imperialist inclinations such as Sparta’s early attempts to conquer Tegea and Cleomenes I attacking Argos where Herodotus reports that a large proportion of Argive infantry (6000 men) were killed in the conflict although the city itself was not taken and Argos who was once a worthy opponent of Sparta now â€Å"was left so short of men, that the management of town affairs fell into the hands of the slaves†. To answer the question whether Herodotus is The father of Histories or the father of lies one must first understand the significance of Herodotus work and not dismiss any accuracy, we do know exists such as how many Persians and Athenians where killed in the battle of Marathon. Even If the facts are hidden beneath layers of captivating storytelling and gossip this does not give reason for Herodotus to be a fabricator of events . His technique in collecting and examining evidence is primitive and thus his title of Father of History is not one that should be altered.