Using Bonds for long term obligations of debt securities

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Bond are long term, fixed obligation debt securities which affordable to sale to individuals and financial institutions. Bond is totally different from other debt, this is because bond is not sold directly to a single lender, and it will sell to the public. Organization that issues the bond is organization that needs fixed income for a certain period of time. During issuing the bond agreement are made in paying a fixed amount of interest periodically to the holder of record or repay a fixed amount of principal at the date of maturity. Intrinsic features such as coupon, par value, maturity, principal value, and the type of ownership are the features of the bond. Coupon bond mean interest income, coupon income, or nominal yield. This coupon of bond is an income that an investor of a bond received over holding period of the issues. Maturity mean number of bond matures or expires. Principal or par value, of an issue represents the original value of the obligation. Company can have many different bond issues outstanding at the same time. Bond can be different type of collateral such as either be senior, unsecured, or subordinate (junior) securities. Fact, of bond

Bond

When a company (or government) borrows money from the public or banks (bondholders) and agrees to pay it back later

Par Value

company borrows the amount of money usually PV is RM1000

Coupon Payments

The organization makes regular payments to the bondholders, for example for every year or every 6 month (interest income)

Indenture

A written agreement between the company and the bond holder. Coupon payments will be stated, and the payment period ,money (par value) will be paid back to the bondholder.

Maturity Date

Date when the company pays the par value back to the bondholder

Market Interest Rate

Yield (it changes everyday)

1.1 Background of the Study

The bond market in Malaysia has developed significantly in terms of market size, range of instruments and efficiency. The development of the bond market centre on the need to establish a well-diversified financial base to meet the changing needs of the Malaysian economy. This paper is focusing on AMBANK 8.250% (30.09.2039) BOND. However, in bond market growth the major role in developing efficient bond market in Malaysia is our own government. Malaysian bond market today also a fastest growing bond market in Asia. As at end-Dec 2009, the size of the bond market reached RM643.8 billion, approximately 90% of GDP.  The bond market has a balance mix of both public sector and private sector bonds each contributing 53% and 47% share of total bond outstanding respectively. Today, the corporate bond market makes up approximately a quarter of the total debt financing (including bank loans) to the economy compared with around 10% in 1997. A wide variety of debt securities products are available in the Malaysian bond market, such as fixed coupon bearing bonds, floaters, asset-backed securities, convertible bonds, callable bonds, etc. Bond issuers include, among others, the Government of Malaysia, Bank Negara Malaysia, quasi government institutions, corporations as well as multilateral development banks (MDBs). To date, a total of seven issuances of MDB bonds, totaling RM3.7 billion have been issued in Malaysia. More importantly, Malaysia, among the key Islamic financial centre, offers a wide variety of Islamic bonds that are based on Shariah compliant concept. As at end-Dec 2009, Islamic bonds accounted for 38% of total bond outstanding.

1.2 Background of the company

This study involving 2 organization that are:- AmBank Group AmBank Group is the sixth largest banking group in Malaysia and comprises AMMB Holdings Berhad and its subsidiaries AmInvestment Group Berhad, AmBank (M) Berhad, and AmAssurance Berhad the organization established in August 1975. These group provides a wide range of investment banking, commercial banking, retail financing and related financial services, which also include Islamic banking, underwriting of general and life insurance, stock, share and futures broking, investment advisory as well as asset, property and unit trust management. AmBank Group's core philosophy incorporates a deep-seated commitment to the satisfaction of its wide range of customers, with numerous customer-driven initiatives woven into all forms of communication and interaction with all customer groups. AMMB Snapshot - Total Assets RM96.5 billion - Shareholders' Equity RM9.6 billion - Profit after Tax and Minority Interests RM1,008.6 million - Earnings Per Share 34.7 sen - basic - 774 ATMs and 189 branch offices nationwide at present - Staff strength of ~ 10,000 Unless otherwise stated, all figures are accurate as at 31 March 2010 (AMMB annual report). Bond Pricing Agency Malaysia (BPAM) BPAM, under the name Bondweb Malaysia Sdn Bhd, was incorporated on 27th September 2004 under the Malaysian Companies Act 1965. The organization registered as a bond pricing agency (BPA) by the Securities Commission on 28th April 2006 and has met and exceeded the requirements as outlined in the Guideline on the Registration of Bond Pricing Agencies. 18th April 2006 then, BPAM was officially appointed as First Malaysian Bond Pricing Agency. Bondweb Malaysia Sdn Bhd changed it name on 15th September 2008 to BPAM. The name change comes at a time when BPAM aims to consolidate its position as the pioneering bond pricing agency and further strengthen its position by focusing on its core business - evaluated bond pricing With this status, BPAM is recognized as one of the official sources for evaluated prices on MYR bonds.

1.3 Problem Statement

Bond is a fixed obligation debt securities, where the issuer need the fixed income for a certain period of time. In the case of Ambank bond, which is not frequently issue mean it not facing requirement of money problem on it area. In arising question on to what Ambank bond price affected, this study is to test the relationship between Dependent Variable (Bond price) and the Independent Variable (Trade amount, common stock price, coupon bond, and yield) of Ambank Bond in Malaysian market. It is to measure whether the variable follow the economic theory and significant to the study.

1.4 Objective of the Study

General Objective:

General objective of this study is to investigate the selected parameters and identify the major factors influencing the price of the Bond.

Specific Objective

To determine whether the common stock price, coupon bond, yield, and trading amount is statistically significantly with price of bond for Ambank and the relationship between it variable. To examine whether Ambank bond is rapidly growing in the Malaysian bond market and is it one of the bond which contributed to the growing market as stated by BPAM (Malaysian bond market is expanding).

1.5 Scope of Study

This study is in the area of Malaysian bond market, where the data also gathered from Bursa Malaysia, Bond Pricing Agency Malaysia, Bank Negara Malaysia and Data stream which available at UiTM Arau Perlis. In running the data, daily basis is used for not more than 1 year. However journal from local and foreign country are used as a references. The duration that taken into consideration is from 11/2/2009 until 28/12/2010, and it is focusing on AMBANK 8.250% (30.09.2039).

1.6 Significant of the Study

The significant of the study is measuring the bond price valuation for Ambank bond using the available data, where only few researcher have done the research. Now, Malaysia practically issuing Islamic Bond, and Conventional Bond. In this paper the measurement is only AMBANK 8.250% (30.09.2039), bond instrument. From the data that been collected, the result is then being analyzed. The findings of this study are supported by journal from past researcher who is local researcher or foreign researcher. The significances are about whether the Independent Variable affects the Dependent Variable.

1.7 Limitation of the Study

Limitation on this paper is on availability to get the data, because of the instrument is only traded when the company need money, it not frequently issue by the issuer. The full data is only offer to the organization and not to the individuals user. The full data can be assess at bond stream where only by permission of BAPM. The data is exactly same like data stream, but it only provided by BAPM. Another limitation is on journal as a reference; because of only using specific Malaysian country the journal available may be limited. More over it also the study of the AMBANK bond . Bond that available in trading during that time is active bond rating of A2. The name of the stock is AMBANK 8.250% (30.09.2039), this bond maturity date is more than 15 year. Bond also can be categorized as complex instrument yet to be study, it because it consist of several component that may gives varies result from the past researcher. Bursa Malaysia and Bond Hub provide some info of the bond, but it is not too detail, so this will be the limitation on the study.

2.0 Literature Review

(Varma, 1996),study toward dynamic Indian interest rate, and the paper contain an applicable method for pricing interest rate options in India and valuing bonds with embedded interest rate options. The Black-Derman-Toy model (Black et al.,1994) give the most attractive tool for valuing interest rate option in India. (Varma, 1996), summarize that Indian interest rates show strong mean reversion. Interest rates do volatile more when they are high rather than when they are low. In fact, the dynamic of interest rates is proportional to the level of interest rates so that the proportionate changes in interest rates (known as volatility) are level independent. This type of model was initially proposed by Brennan and Schwartz (1979).The "normal rate" to which interest rates mean-revert is itself changing over time, and it too undergoes mean-reversion to a "grand" normal rate, this past researcher result is taken by (varma,1996). Bond prices, as we all know do not follow random walk at all. Random walk mean an investment theory which claims that market prices follow a random path up and down, without any influence by past price movement. As the bond approaches maturity, its price approaches the redemption value and all uncertainty rapidly disappears. Researchers around the world have faced a great deal on determining the dynamics of interest rates. However, a recent study (Tse, 1995) of eight different models in eleven countries found that no model was valid in all countries. Each of the three most popular models found applicability in some countries, but each was rejected in half the countries, so this mean that because of the variability of interest rate it also not applicable to a certain country. Then (Lochoff, 1993) classified in several different ways one of it, the price model are classified endogenously derived the term structure of interest rate. Hence these models are guaranteed to provide correct pricing of straight bonds. However this topic is aggressively argues in Dattatreya and Fabozzi (1989). Based on it, ( Black et al,1994) create tool for pricing interest rate option in India. Black-Derman- Toy model to value bond, however the researcher study valuation of three bond and resulted to: Straight bond Rs 5300 (equal issue price) Advertise bond Rs 6300 (19% above issue price) Actual Bond Rs 5050 (20% below advertised bond and 5% below issue price) interest rate is independent of their level, valuing bond can be complex and need multiple embedded option for valuation and in bond can make big difference to their valuation some result of certain bond can be grossly misleading. Shamsher Mohamad, Taufiq Hassan, and Mohamad Ariff (2007) find 50 listed firms has issues corporate bond and having the highest ratio of corporate bond issued per dollar of GDP among all the emerging markets. Malaysia has 37.3%, even though it only issued only after year 1999( IMF working paper : 152, 2005). Topic discuss, is applying research could search for the price value of re-rating of companies, the spread between different ratings and also premium price for the rating can be different during to local and foreign rating agencies. Normaziah, et al (2006) examine the stock price and volume of trade cover the announce of private placement in the market. It was discuss under topic of Private Equity (Seasoned Equity) Announcements. To subject were examine over different economic condition starting from placement exercise, and of premium and discounted offer price. Result show Significant negative price reaction was observed when private placement proceeds are earmarked for working capital requirements. However, when the proceeds are earmarked for investment, the short-term reaction around the announcement day is negative but there is significant positive reaction in the post-announcement period. The average volume of trade increased significantly for the entire analysis period. Edith Hotchkiss, Gergana Jostova (2007),study topic on determinant of corporate bond trading have obtained significant positive related to bond trading for all bond and regressions. Hotchkiss and Ronen (2002) document the bond and stocks react simultaneously to firm specific information. They also state that calculating price impact toward liquidity measure remains problematic due to infrequent trading in corporate bond. Kamara(1994) has measure of immediacy risk which risk that relate to the price volatility of the bond and the time needed to execute a trade, and also is reduced with higher trading volume. Harris and Raviv (1993) theorized on trading volume is positive affected by return, cause support by Alexander, Edward and Ferri (2000) who find trading increase with bond return volatility. For Gallant, Rossi and Tauchen(1992) observe positive relation between market volatility and trading volume of NYSE- trade stock, while Chordia, Roll, and Subrahmanyam (2000) and Engle and Lange(1997) found opposite result. On the other hand, Fleming and Remolona (1999) concluded that price reaction to public info do not have any relationship to a trading volume, but it been argue by Dungey, Frino and McKenzie. There are positive relationship between volume and prices changes, Kocagil and Shachmurove (1998). Norliza Ahmad, Joriah Muhammad, and Tajul Ariffin Masron(2009) examines the impact on four macroeconomic factors such as, KLCI, IPI,CPI and interest rate (IR) on bond yield spread of MGS and Corporate bond (CB). They also have generated : Yield spread i, t = β0 +β1 CPIi, t + β2 IRi, t + β3 KLCIi, t + β5 IPIi, t + εi, t , for their study. Where it is a multiple regression analysis. The duration of this study is from January 2001 until December 2008. They found the result of findings support that CPI and IR are the major drivers that influence the changes in MGS yield spread, finding that can take into consideration is IR, CPI and IPI which have weak and no influence on MGS yield spreads, but have significant affect on yield spread of CB. From Hale (2003), bond market is able to provide fund to corporations at low cost compared to loan provides by bank. Ameer (2007) obtained result, that there were an extreme limited number of empirical evidence concerning relationship between macroeconomic variable and bond market in Asian economic. Chan, Ahmad and Wooldridge (2007), found the changes in microstructure of the Malaysian corporate bond market has led to significant improvement in liquidity. From Thau (2001) stated three type of yield in relating to invest in bond, where first, coupon yield is interest paid to bond holder as percentage of bond par values, second yield being measure by annual coupon income divide by bond's market price and lastly YTM provides measure of bond return by estimating the total amount of income for the whole duration of bond hold then bond been compared to the prices. Faerber (2000) stated that the inverse relationship between market rates of interest rate and bond prices in which the increase in interest rate will cause in the decrease of bond prices. Also, when decrease in bond prices will translate into wide of the yield spread and vice versa. Bonds with shorter maturity period are less sensitive to fluctuations (Bodie et al., 2008). In supporting how coupon bond will affect the price of bond, we need to understand the time value of money, using present value formula we calculated the discounting future cash flow. It is based on the assumption that each payment is re-invested at some interest rate, and when it received known as future value. BOND PRICE = C + C + ……. C + M (1+i) (1+i)2 (1+i)n (1+i)n C = coupon payment n = number of payment i = interest rate / required yield M = value at maturity or par value Or C x 1 - 1 BOND PRICE = (1 + i)n + M : i (1+i)n This formula gathered from book : Analysis of Investment and Management of port folios(chapter 18: The Analysis and the Valuation of bond).

3.0 Research Methodology

Using BPAM data and daily data gathered, from date 11/2/2009 until 28/12/2010, and as commonly know bond is not same like common stock, this is because it only be issues by organization in certain period of time. However in this study, analyzing is on the bond price changes daily due the population of bondholder seems to grows from time to time which clearly show in the changes of the amount trading and rise on the price. The method is using secondary data, where it from government publication, the financial institution and website related. But some data is manually gathered at Uitm Perlis using data stream.

3.1 Data Collection

Data are obtained from: Data stream which available at Uitm Perlis. (Price of common stock daily for Ambank) Bond pricing agency Malaysia, the daily trade list in secondary priority and active bond ( Internet Sources). Bank Negara Malaysia website. Website for certain journal and article as a reference.

3.2 Data Analysis and Findings

3.2.1 Multiple Regression Analysis

This study is using multiple regression analysis, which mean more than one independent variables are used. The statistical test provided in regressing the data is coefficient value, R-squared, F-statistic, T-statistic and few other important statistics. Statistical Package for Social Science (SPSS) is conducted to get the result. The simple regression is as follow: Y = β0 + β1X1 + β2X2 + β3X3 +….βnXn + ε Where, Where ; Y = Dependent variable X1,X2,X3…Xn = Independent variables β0 = Intercept term or constant value β = Coefficient for the independent variables ε = Error term

3.2.2 Regression Equation

Regression equation shows that the relationship between independent variable and dependent variable. Two relationship may exist between them either positive relationship or negative relationship. Positive relationship indicates that an increase in independent variable, dependent variable will also increase. Whereas negative relationship indicates that an increase in independent variable, dependent variable will decrease.

3.2.3 Coefficient of Determination (R-Squared)

R- squared is used to measure how well the overall equation explains changes in the dependent variables or know as goodness of fit. R² = Total explained variation Total variation

3.2.4 T-statistic

The T-statistic is used in the t-test to determine if there is a significant relationship between the independent and each independent variable. To carry out this Test, Standard error of coefficient (s) is needed to calculate the t-value. t- value = b S.e (b2) t- critical = t a /2, n-k-1 The critical value from t-distribution table with degree of freedom at 95% confidence interval will be used. Degree of freedom = n - k - 1 Hypothesis will be tested either to accept Null hypothesis or Alternate hypothesis. Accept Ho when observed T-statistic < Critical T-Statistic Accept H1 when observed T-statistic > Critical T-statistic The critical value for sampling at a = 0.05 with level of significant two tailed test.

3.2.5 F-Statistic

F-statistic provides an overall appraisal of the regression equation to evaluate the significant of each individual component to the entire regression model. F = explain variation / ( k - 1) Unexplained variation ( n - k) Accept Ho when Observed F-statistic < critical F-statistic Accept H1 when Observed F-statistic > critical F-statistic

3.3 Theoretical Framework

Common Stock Price Coupon Bond Price of bond Yield ( market rate of interest) Volume Traded Independent variable dependent variable

3.4 Hypothesis

The purpose of hypothesis testing is to determine which of the hypothesis is acceptable. Ho : assigned the null hypothesis H1 : represented the alternate hypothesis 1. H0= CSP is not statistically significant to bond price H1 = CSP is statistically significant to bond price 2. H0= CB is not statistically significant to bond price H1 = CB is statistically significant to bond price 3. H0= INT is not statistically significant to bond price H1 = INT is statistically significant to bond price 4. H0= TA is not statistically significant to bond price H1 = TA is statistically significant to bond price

4.0 Data Analysis and Findings

The data has been analyzed using Statistical Package for social science (SPSS) Software. In the data and finding the data is a) Measure the overall goodness of fit of the regression model by the coefficient of determination, R². b) Examine the possible relationship between each independent variable on dependent variable using coefficient relationship. c) Using t-statistic to examine the significant relationship of each independent variable toward dependent variable. d) To examine the combination of independent variable that can be used as predictors to the dependent variables using F- Statistics

4.1 Regression Equation

Regression linear function derived as : General function : f (CSP, CB, INT, TA) Multiple Regression Equation : Y = β0 + β1CSP + β2CB + β3INT + β4TA + ε BP = -4.476 + 0.866 CPS - 0.509CB + 14.064 INT + 0.285 TA + ε β0 = constant value BP = Bond price CSP = Common Stock Price CB = Coupon Bond INT = Market Interest Rate (Yield) TA = Trading Amount

4.2 Research Analysis

Table below show the result of regression output as stated

VARIABLE

CONSTANT

CSP

CB

INT

TA

Beta -4.476 0.866 -0.509 14.064 0.285 t - statistic -4.271 4.339 -2.293 51.388 4.742 TABLE 1 R2 = 0.98903 Adjusted R2 = 0.98890 F-statistic = 7799.50 The coefficient determination or R2 in Bond Price is 98.903%, more than 98.903% can be explained by common stock price, coupon bond, interest rate and trading amount. Another 1.097% is unexplained. The adjusted R2 show 98.890% it mean more than 98.890% can be explained by common stock price, coupon bond, interest rate and trading amount. Where another 1.11% is unexplained. Adjusted R2 is 98.890 % which is lower than R2. This is because if we add another variable (1- R2) will decrease and (n-k) will also decrease. The rises or fall of adjusted R2 and R2 is depend on the contribution of new variable to the fit of the regression more than offset the loss of degree of freedom. The coefficient of determination fit the model well, because the value more than 50%. Beta analysis (coefficient) is to examine the possible relationship between each independent on the dependent variable. From the result obtained, increase of 1 unit in common stock price will increase 0.866 units in bond price. This mean that this two variables also have positive relationship and it show the economic theory are not followed from past researcher result would be inversely relation ship but in this study, due to limitation of data the result might be affected using SPSS. This is because, when the price of bond increase, common stock price will decrease in order to make the investment equally attractive. In addition, during this time, Malaysian Bond Market is still recovering from the economic crisis that is on 2008. The economic crisis at the previous year are giving huge impact on the Malaysian economic, however most of investment instrument is having increasing in it own market. From the result obtained, it shows that increase by 1 unit of coupon bond, bond price will decrease 0.509 units. Mean that the two variables have negative relationship and it is consistent with the economic theory. This is because, only active bond are been consider and bond is daily traded and have maturity, it only being issue when organization need money, bond also long term debt and the bond rating constantly A2. The result from this finding is also because bond price is not following random walk theory, in the agreement bond holder will be paid constantly until maturity date. Instead using CB, YTM can also be used, and maybe the result can also be a positive relationship. From the result obtained, increase of 1 unit in yield will increase 14.064units in bond price. This mean that these two variables have positive relationship and it not follow the economic theory. Suppose high interest rate will give low value of bond, and low interest will give high value of bond or vice versa. However, bond is complex instrument, the relationship can also be explained by maybe there were modified duration and cause convexity effect. Convexity is curvilinear relationship so this is maybe the reason it is not follow the economic theory. For trading amount, clearly picture that increase by 1 units of amount trade will increase 0.285 units of bond price for Ambank. This shows that, it has positive relationship and follows the economic theory. From the literature review there is some evidence that trading amount affect the bond price and till now it still being argued that whether trading amount have no relationship with bond price or connected to the bond price or also knows as price volatility.

4.3 T-statistic

To examine the significant relationship of each independent variable toward dependent variable. From the t-distribution table, the book t-value is 1.960 at 95% confidence interval level.

VARIABLE

T-STATISTIC

FINDINGS

CSP 4.339>1.960 Statistically significant CB -2.293>1.960 Statistically significant INT 51.388>1.960 Statistically significant TA 4.742>1.960 Statistically significant TABLE 2

4.3.1 T-statistic for common stock price (CSP)

From the above table, the calculated t-value is higher than the book t-value (4.339 > 1.960) at 95% confidence interval. 1. H0= CSP is not statistically significant to affect Ambank bond price in Malaysian market. H1 = CSP is statistically significant to affect Ambank bond price in Malaysian market. Discussion : accept H1 CSP is statistically significant and affect the bond price in Malaysian bond market. This result can be supported by Normaziah, et al (2006) examine the stock price and volume of trade cover the announce of private placement in the market. It was discuss under topic of Private Equity (Seasoned Equity) Announcements. To subject were examine over different economic condition starting from placement exercise, and of premium and discounted offer price. Result show significant negative price reaction was observed when private placement proceeds are earmarked for working capital requirements. TREND FOR AMBANK COMMON STOCK PRICE AND BOND PRICE IN THE STUDY TIME PERIOD BOND PRICE GRAPH 4.3.1 From the graph above, the result is significant to the study. As we can see when the price of common stocks is higher the price of bond will be lower. This can clearly picture from the price trend above, it is the nature of bond price and common stock price to affect each other and the reason is to make both of them equally attractive.

4.3.2 T-statistic for coupon bond (CB)

From the above table, the calculated t-value is higher than the book t-value (2.293 > 1.960) at 95% confidence interval. 2. H0= CB is not statistically significant to affect Ambank bond price in Malaysian market H1 = CB is statistically significant to affect Ambank bond price in Malaysian market Discussion : accept H1 CB is statistically significant and affect the bond price in Malaysian bond market. This can be proved by formula in calculating the bond price using present value (PV). BOND PRICE = C + C + ……. C + M (1+i) (1+i)2 (1+i)n (1+i)n C x 1 - 1 BOND PRICE = (1 + i)n + M i (1+i)n where, C = coupon payment n = number of payment i = interest rate / required yield M = value at maturity or par value Or TREND FOR AMBANK COUPON BOND AND BOND PRICE IN THE STUDY TIME PERIOD AMBANK BOND GRAPH 4.3.2 From the above graph, the result from the regression using SPSS is significant to the study. However because of the data using fixed coupon bond the result may varies from other previous researcher who is maybe using zero-coupon or other coupon bond that available. In supporting the result, what we need to be consider is in calculation of Bond Price using present value formula.

4.3.3 T-statistic for market interest (yield/INT)

From the above table, the calculated t-value is higher than the book t-value (51.388 > 1.960) at 95% confidence interval. 3. H0= INT is not statistically significant to affect Ambank bond price in Malaysian market H1 = INT is statistically significant to affect Ambank bond price in Malaysian market Discussion : accept H1 INT is statistically significant and affect the bond price in Malaysian bond market. It can be support by Faerber (2000) stated that the inverse relationship between market rates of interest rate and bond prices in which the increase in interest rate will cause in the decrease of bond prices. TREND FOR AMBANK INTEREST AND BOND PRICE IN THE STUDY TIME PERIOD GRAPH 4.3.3 From the above graph, the result from regression is not consistent with economic theory, however from the data gathered and graph show that is when price of bond increase, the interest rate will decrease same as nature of coupon bond. From the graph this mean it affect the bond price and support by most researcher result.

4.3.4 T-statistic for trading amount (TA)

From the above table, the calculated t-value is higher than the book t-value (4.742>1.960) at 95% confidence interval. 4. H0= TA is not statistically significant to affect Ambank bond price in Malaysian market H1 = TA is statistically significant to affect Ambank bond price in Malaysian market Discussion : accept H1 TA is statistically significant and affects the bond price in Malaysian bond market. Support by Dungey, Frino and McKenzie(n.d). There are positive relationships between volume and prices changes. TREND FOR AMBANK VOLUME TRADING AND BOND PRICE IN THE STUDY TIME PERIOD VOLUME GRAPH 4.3.4 From the above graph, we can clearly see that bond price is increasing, and the trading amount is not frequently trade by the issuer. This is one of the reason why some past researcher state trading amount is not giving any impact or affect the bond price, but some says otherwise.

4.4 F-statistics

Book F- value : Fa (k - 1, n k)

: F 0.05 (5-1, 351-5) : F 0.05 (4,346) : 2.46 Computed F-value is greater than book F-value (7799.504 > 2.46), mean that all the independent variable (CSP, CB, INT and TA) are statistically significant. H0= All the independent variable are not statistically significant to affect Ambank bond price in Malaysian market. H1 = All the independent variable are statistically significant to affect Ambank bond price in Malaysian market. From the result, the result would be accept H1 and reject H0 since it significant for the overall model. All the independent variable are statistically significant to affect Ambank bond price in Malaysia. Second objective of this study is achieved where Ambank bond is one of the bond that contributed to the rapid growing of Bond Market in Malaysia. TREND FOR AMBANK 8.250% (30.09.2039) BOND PRICE (STUDY PERIOD) GRAPH 4.4 From the graph above, it show that the Ambank Bond price is increasing so this can relate to second objective, where Ambank bond is rapidly growing in the Malaysian bond market and is it one of the bond which contributed to the growing market as stated by BPAM (Malaysian bond market is expanding). From the graph it also strongly agrees to F-statistic result that all the independent variable are statistically significant to affect Ambank bond price in Malaysia.

5.0 Conclusion and Recommendation

5.1 Conclusion

In conclusion, this paper can be summarized as, the research examines the relationship of some bond variable features that may affect the bond price in Malaysian market from time period not more than one year, this study is using daily data from 11/02/2009 to 28/12/2010. Bond in Malaysia is now rapidly in growing to be efficient market so it is an interesting topic need to be study. In conducting this study, Statistical Package for social science (SPSS) Software is used. Using independent variable such as common stock price, coupon bond, interest rate (yield) and amount of trading to measure the relationship where price of bond will affect by the variable. On conducting this data, the Multiple Regression Analysis technique was applied to examine the relationship between the dependent and independent variable. In measuring the relationship, statistic analysis is generated using Statistical Package for Social Science (SPSS). It been measure in term of Coefficient of Determination ( R2 ) , T-test (T-statistic), and F-test ( F-statistic). Based on Multiple Regression Analysis result, there is positive relationship between common stock price to the bond price of Ambank bond. However it not follows the economic theory, because many researcher and price theory stated it should be inversely relation, where stock price increase bond price will decrease, or vice versa. This result also hard to argue because of little number of researches done in Malaysia or Foreign. There also a positive relationship, between coupon bond and price of the bond, this can clearly support by present value formula. Coupon bond always connected to it maturity period. Coupon bond in this study is fixed, so the result may varies from other researcher. However it as discuss before coupon bond will reduce the bond price until it reach maturity. However, on finding toward interest rate, it is still positive relationship, but the result is not following the economic theory, suppose increase in interest will lower the value of the bond price, and vice versa. This result can be support by researcher as stated in literature review. Trading amount has positive relationship based on the finding, but result may varies from regression analysis. In this finding, we can see that it follow economic theory, where increase in amount trade also can increase the price of bond. The Coefficient of Determination ( R2 ) show from the findings is more than 50%, so the variable fit the model well. Lastly, the F-statistic result or also known as overall test for all dependent is statistically significant. Second objective that is to examine whether Ambank bond is rapidly growing in the Malaysian bond market and is it one of the bond which contributed to the growing market as stated by BPAM (Malaysian bond market is expanding) is proved, from the regression analysis of overall test is significant and the bond price trend can show the increasing price for Ambank bond. Mean it contributed to the expanding Malaysian bond market.

5.2 Recommendation

Some recommendation can be made from this study: It is suggested that a longer time frame should be based for this study because bond is not frequently issued and if there a longer time frame it can may give the best result for the findings. The next research can take other economic variable as a measurement, because today Malaysian also issues Islamic and Conventional bond. These type of bond may have difference variable that can be taken into consideration. It is suggested, to do more research on bond, because there only few research that have done from previous period. So in the future it can be interesting subject to study and it also can be as future references. It is suggested that availability of the bond stream in the institution, so that the research will be more accurate in the future and finding will also significant to be study. This is because the data is only offer to the institution where it is same as the data stream provided.
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