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STOCK RETURNS: AN EFFECT OF INTEREST AND EXCHANGE RATE
Rika S. Martina, SE, University of Pancasila, Indonesia
Altyn K. Myrzashova, Prof, PhD, Kazakh-Russian International University, Kazakhstan
Gatut L. Budiono, Prof, PhD, University of Pancasila, Indonesia
Abstract: Information relevant to the development of changes in financial market
transactions is very important for financial investors; investment considerations
require detailed information in order to reduce losses and consideration of capital
market investment strategy formulation. Return and investment risk as well as
possible need to be considered by investors before the start of the investment because
the value of the interest rate a negative effect on stock returns and exchange rates can
be a positive influence on stock returns.
Keywords: Return of shares, interest rate and exchange rate
Background of Informations
Investor buyers a number of shares hoping to profit from rising stock prices
and dividends in the future in exchange for the sacrifice of time and the risk of the
investment made in shares. When people buy stocks, gains or losses on equity
investments is called return on investment shares. Stock returns in the form of growth
in the market or in the form of capital gains, referred to the percentage difference between the
selling price and the purchase price of the shares. Return extremely important determining
investment decisions. Basically the justification of the return must be analyzed, among
others, through the analysis of historical returns that occurred in the previous period, on the
basis of the analysis determined the desired level of return (Jogiyanto: 2010). At this time
the local and foreign investors to invest heavily banking stocks. Shares of the banking
industry are in great demand by investors. This is evident from a comparison of the
total market capitalization of the banking industry with other industries (Indonesia
Stock Exchange, 2011: 11).
The banking industry shifted up and down to the present economic conditions,
the rate of profit of the banking industry is closely linked to the national economy and
directly affects the stock price. This is especially noticeable when the economic crisis
hit Indonesia in 1997, directly give effect to the average banking industry stock prices
fell to USD 450, -. Decline in the stock price caused by negative expectations by
investors on the performance of the banking industry so investors to make
investments in the banking industry declined (Kartini Harahap: 2006).
In the year 1997 the Indonesian economy in recession, the rupiah dropped
from the level of USD 2419 to USD 7100 per $ 1. Along with these conditions, the
interest rate of 70.81% has caused inflation to increase to 78% per year. The
economic recession is directly negative effect on the banking industry, on 1
November 1997 there were 16 banks were liquidated, and then on l April 1998 there
were seven banks that suspended operations and 7 banks taken over by BPPN. On
March 13, 1999, a total of 38 banks were liquidated and 7 bank taken over (Ali
Masyhud, Kartini, 2006). Banks that were liquidated and taken over mostly of the
company going public is significantly detrimental to investors; buying shares at a
higher risk if market risk is affected by fragile economic conditions (Elton and
Gruber: 2007).
The weakening of the rupiah to most significantly impact the business sector
who earns U.S. dollars and rupiah cost beneficial. As for the rupiah income, and have
a lot of debt in U.S. dollars is very detrimental (Kartini Harahap: 2006). But for the
banking industry the weakening of rupiah sharply increases the risk of foreign
currency loans. The increasing interest rates cause businesses unreasonably difficult
to pay the liability directly, and causes decreased levels of corporate profitability,
competitiveness levels also decreased along with the increasing number of
competitors. So, to minimize the risk of stock investment banking industry requires
an analysis of the factors that can affect yield, like external factors as in interest rates
and the exchange rate as a systematic risk (John White, 2002:15).
Research problem is the effect of interest rate and exchange rate on stock
return of the banking sector; what effect interest rate on banking sector stock returns
listed in the Indonesia Stock Exchange? What affect the rupiah / U.S dollar value
against the banking sector stock returns listed in the Indonesia Stock Exchange?
Objective of this paper is to analyze the effect of interest rate on stock returns of the
banking sector listed in the Indonesia Stock Exchange. Analyzing the effect of the
rupiah / U.S. dollar against the return of banking sector stocks listed on the Indonesia
Stock Exchange. A practical benefit of this paper is a consideration in investment
policies for investors, as an input investment decisions in the future for other parties
with an interest in stock investment.
Correlation of interest rates and exchange rates to stock return
Some researchers have conducted a study on the level of interest rates and
exchange rates to stock return. The results of several studies are used as a reference
and comparison in this study include: Bodie et al (2005) stated that changes in stock
prices are influenced by several factors, one of which is the interest rate. This is
supported by research conducted Utami and Rahayu (2003) who found empirically
influence interest rates on stock prices during the crisis in Indonesia. Research
conducted by (Kewal, 2012) and Mudji Utami and Mudjilah Rahayu (2003) suggests
that interest rates negatively affect stock returns. Granger (2000) had stated that there
is negative effect between interest rate and stock price. In addition, Mahmudul Alam
and Gazi Salahuddin (in Ahmad, 2010) also stated in accordance that there is a
negative effect between interest rates and stock returns. However (Mok, 1993) using
the model of Arima analysis found no significant relationship between these two
variables. Research conducted by Ajayi and Mougoue (in Fuady, 2009) found no
empirical evidence of the existence of a negative relationship between the foreign
exchange rate to stock prices. The research was carried out again by Slamet Sugiri
(2000) in the telecommunications industry which listed on the JSE, PT Indosat and
PT Telkom, the results showed that in the long run there is a negative relationship
between stock prices of telecommunications with the U.S. dollar exchange rate.
While Hardiningsih et al (2002) in his study entitled "The Effect of Economic Factors
against Risk Fundamentals and Stock Return in Jakarta Stock Exchange." In this
study, the dependent variable used is the exchange rate, inflation, ROA and PBV
while the independent variable is the stock return by means of regression analysis; the
results suggest that empirically proven that partially all dependent variables have a
positive effect on stock return except the rupiah / U.S. dollar negatively affect stock
returns. Research conducted by Mudji Utami and Mudjilah Rahayu (2003) in a study
entitled "The Role of Profitability, Interest Rates, Inflation and Exchange Rate Affect
Capital Market in Indonesia during the Economic Crisis". In this research the
independent variable is the profitability of the company, interest rates, inflation and
exchange rate while the dependent variable is the share price. The study uses an
object of research companies that are sensitive to changes in economic conditions
listed on the JSE. With the tools of regression analysis, the results of the study
suggest that the empirical evidence that profitability, interest rates, inflation and
exchange rate simultaneously affect stock prices significantly during the economic
crisis and empirically proven that the partial interest rate significantly negative and
the rupiah against the U.S. dollar have a significant positive effect on stock prices
during the economic crisis. Sri Suyati (2010) explains that the interest rate changes
have no significant effect, while the rupiah / U.S. Dollar have a significant positive
impact on stock returns. This means that when the rupiah / U.S. dollar weakened the
stock returns will decrease.
Interest Rate Effect on Stock Returns
The research conducted by Muhammad Ishfaq Ahmad et al (2010) stated that
the macroeconomic variables always have a significant impact on the stock market.
Ahmad finds that interest rates have a negative impact on stock returns. This is
supported by Granger (2000) stating that there is a negative effect between interest
rates and stock prices. The link between interest rates and stock returns also raised by
Bodie et al (2005) stating that the change in stock price is influenced by several
factors, one of which is the interest rate. This is supported by research conducted by
Utami and Rahayu (2003) who found empirically influence interest rates on stock
prices during the crisis in Indonesia. The theory is supported by research conducted
by Gudono (in Fuady, 2009) that interest rates negatively affect stock returns. From
exposure above it can be concluded that the level of interest rates affect stock returns.
Based on the above, the hypothesis proposed in the study is:
H1: The interest rate negatively affects stock returns.
Exchange Rate Effect to Stock Returns
Some empirical evidence regarding the effect of the rupiah / U.S. dollar to
stock return showed contradictory results, as stated in the study Hardiningsih et.al
(2001) showed that the value of the rupiah against the U.S. dollar negatively affect
stock returns. But in the study Kartini Harahap (2006) showed that the exchange rate
has no significant effect on stock returns. In a study conducted by Mudji Utami and
Mudjilah Rahayu (2003) showed that the value of the rupiah against the U.S. Dollar
positively influence the stock return. This is supported by the research results
Muhammad Ishfaq Ahmad et al (2010) which state that there is a significant positive
effect of the exchange rate with the stock return. Based on this theory, the hypothesis
proposed in this study is:
H2: The exchange rates of Rp / Dollar positively influence the stock return.
Figure 1. Effect of Interest Rate and Exchange Rate on Stock Return
H1
H2
Methods
Object of this study is the rate of SBI, the rupiah / U.S. Dollar, and the stock
returns of the banking sector companies listed on the Indonesia Stock Exchange
(BEI) for the period 2007-2010, but only 31 companies from seven (7) qualified company
data completeness. For more details, name of the issuer may be described in the following
table:
Tabel 1. Issuers in the banking sector period 2007 - 2010
Name of Banks Codes Business Sectors
Bank Central Asia Tbk. BBCA Banking
Bank Bukopin Tbk. BBKP Banking
Bank Negara Indonesia (Persero) Tbk. BBNI Banking
Bank Rakyat Indonesia (Persero) Tbk. BBRI Banking
Bank Danamon Indonesia Tbk. BDMN Banking
Bank Mandiri (Persero) Tbk. BMRI Banking
Bank Bumi Artha Tbk. BNBA Banking
Sources: IDX Monthly Statistic 2007-2010
Interest Rate
Stock returns
Exchange Rates
The data were obtained from the IDX Monthly Statistics. The data is in the
form of stock returns. Meanwhile, other data which include interest rate and exchange
rate obtained from www.bi.go.id. Processing the data in this study using the program
Microsoft Excel and SPSS 16.0 for windows.
The population of the study was all the company went public sector banks
listed in the Indonesia Stock Exchange during the study period January 2007 to
December 2010 by 31 companies. Purposive sampling method used in order to get a
sample in accordance with the objectives of the study. Purposive sampling method is
a sampling method that is based on certain criteria, where samples must meet the
following criteria: Listed on the Indonesia Stock Exchange during the period January
2007 to December 2010. Company shares actively traded each month during the
period January 2007 to December 2010. Based on these criteria, the number of
samples used in this study was 7 (seven) companies, namely Bank Central Asia Tbk.
(BBCA), Bank Bukopin Tbk. (BBKP), Bank Negara Indonesia Tbk. (BBNI), Bank
Rakyat Indonesia Tbk. (BBRI), Bank Danamon Tbk. (BDMN), Bank Mandiri Tbk.
(BMRI), dan Bank Bumi Artha Tbk. (BNBA).
Methods of data collection using the documentation by recording the average
data rate and monthly stock return rate listed in IDX Monthly Statistics and the
official website of Bank Indonesia (www.bi.go.id) the period between 2007 and 2010
and the period journals associated with this research. The sequence of data collection
to the data processing was such as collecting various theories in journals as a
reference. Download stock price data contained in IDX Monthly Statistics
(www.idx.co.id). Downloading of data rate and the exchange rate contained in the
official website of Bank Indonesia (www.bi.go.id). Processing data was using
Microsoft Excel program, including stock price data to get the average monthly stock
returns and data selling and buying exchange rate to get the value of the middle rate.
Processing the data was using SPSS. Meanwhile, data processing techniques using
multiple regression models to investigate the effect of variable interest rates and the
exchange rate on stock return then used multiple regression models with the basic
equation (Gujarati, 2006): Y = α + β1X1 + β2X2 + e; Description: Y = Return stock; α
= constant; β1-β2 = regression coefficient of each independent variable; X1 = interest
rate; X2 = Exchange Rate of Dollar; e = standard error.
Correlation test aims to examine the relationship between two variables does
not indicate a functional relationship (Nugroho: 2005). Also used hypothesis testing,
using regression analysis with t test and F test, the purpose of regression analysis is
used to determine the effect of independent variables on the dependent variable,
partially or simultaneously, as well as knowing the size of the dominance of the
independent variable on the dependent. Steps to test the hypotheses proposed in this
study are: T-test statistics, partial testing using t-test. The steps taken in the testing are
Prepare the null hypothesis (Ho) and the alternative hypothesis (Ha). Ho: β1 = β2 = β3
= 0, allegedly partially independent variables had no significant effect on the
dependent variable. Ha: βi ≠ 0, supposedly independent variables partially significant
effect on the dependent variable. Determine the level of significance (α) of 0.05. T
test compares the t table. If the t test is greater than the table t Ha accepted. T test can
be found by the formula (Gujarati, 2006):
If the table-t < -t test and t test < t table, individual independent variables did not
affect the dependent variable. If the test t > t-table and t test <-t table, individual
independent variables affect the dependent variable. Based on the probability, Ha will
be accepted if the probability value less than 0.05 (α). F Test was used to test the
significance of the influence of interest rates, trading volumes, and the exchange rate
against the property sector stock returns simultaneously. The steps taken were
(Gujarati, 2006): Formulate a hypothesis (H1), Ho: ρ = 0 allegedly independent
variables together had no significant effect on the dependent variable. Ha: ρ ≠ 0
allegedly independent variables jointly significant effect on the dependent variable.
Determining the level of significance of 0.05 (α = 0.05). Comparing F test with the F
table. Calculate the value of F can be found by the formula (Gujarati, 2006):
Where: r2 = Coefficient of Determination; K = number of regression coefficients; N =
number of observations. When the F test < F table then the independent variables
simultaneously have no effect on the dependent variable; When the F test> F table of
the independent variables simultaneously affect the dependent variable. Based on
probability, Ha will be accepted if the probability is less than 0.05. Determining the
value of the coefficient of determination, which shows how much the coefficients of
independent variables in the model used to explain the dependent variable. Test (r2),
coefficient of determination (r2) was used to measure how much the ability of the
model in explaining the variation in the dependent variable. The coefficient of
determination sought by the formula (Gujarati, 2006):
∑
∑
It is important to notice that determination coefficient is between 0 and 1. Smaller value of r2
is the ability of independent variables in explaining the variation in the dependent variable is
very limited (Ghozali, 2006). Value close to 1 (one) have meaning that the independent
variables provide almost all the information needed to predict the variation of dependent
variable.
Finding and Discussion
Development of the Banking Sector Company Stock Return Period 2007-2010. Stock
returns, as shown in table 2 below is used to illustrate the results obtained by investors on stock
investments. The results of the calculation of the stock return calculated on the individual
company's stock price on a monthly basis during the fourth period, namely from 2007 to 2010.
Table 2, Banking Sector Stock Return 2007-2010 (in %)
Banks 2007 2008 2009 2010 Σ Average
BBCA 3,35 -4,27 4,28 2,84 6,19 1,55
BBKP -1,06 -6,51 6,83 5,97 5,23 1,31
BBNI 1,31 -6,23 11,13 6,40 12,61 3,15
BBRI 2,73 -2,23 5,49 3,14 9,13 2,28
BDMN 1,97 -5,50 4,48 2,36 3,30 0,83
BMRI 2,24 -2,32 8,43 3,37 11,73 2,93
BNBA 3,09 -9,30 8,26 2,77 4,82 1,21
Σ 13,63 -36,36 48,90 26,84 53,02 13,25
Average 1,95 -5,19 6,99 3,83 7,57 1,89
Source: Data processed
The table and figure above describes the stock return of 7 banking sector companies
during the period from 2007 to 2010. Interpretation of the table and the picture above shows the
average stock return over 4 years to 7 companies of 1.89% and for each of the company's
average stock return is positive. Positive stock returns to explain that investing in shares in seven
companies, namely Bank Central Asia Tbk. (BBCA) 1.55%, Bank Bukopin. (BBKP) 1.31%,
Bank Negara Indonesia Tbk. (BBNI) 3.15%, Bank Rakyat Indonesia Tbk. (BBRI) 2.28%, Bank
Danamon Indonesia Tbk. (BDMN) 0.83%, Bank Mandiri Tbk. (BMRI) 2.93%, and the Bank
Bumi Artha Tbk. (BNBA) 1.21% profitable. While investing in stocks with negative stock
returns are unfavorable.
Figure shows that individual stock returns in 2008 the banking sector company entirely
negative, which means that the banking sector equity investment in 2008 was not favorable. The
decrease occurred because the stock returns in the global financial crisis hit almost all countries
in the world. This happens because of the housing credit crisis in the United States. The crisis
impact the collapse of the stock market in several countries including the collapse of the banking
sector share prices. Circumstances deteriorated when the banking sector many banks suffered
liquidity crunch. A decline in confidence in the banking system due to the case of many banks as
occurred in the Bank Century and Bank IFI. (www.setneg.go.id).
Development of Interest Rate period 2007-2010 are shown in Table 3 and 4 below, the
interest rate in December 2006 was 9.75% and the average interest rate in 2006 was 11.83%.
Table 3, Interest rate per month period 2007-2010 (in %)
Months 2007 ∆ 2008 ∆ 2009 ∆ 2010 ∆
January 9,55 -2,05 8,00 -1,03 10,07 -7,97 6,45 -0,46
February 9,25 -0,19 7,94 12,01 8,89 -6,64 6,42 -1,12
March 9,00 44,66 7,95 10,72 8,43 -4,62 6,34 -0,32
April 9,00 10,82 7,98 -3,44 7,83 -3,73 6,22 -1,13
May 8,80 -17,62 8,26 5,28 7,34 -3,74 6,29 0,98
June 8,56 -15,03 8,59 6,14 7,02 -6,84 6,26 0,65
July 8,31 -9,35 9,03 5,79 6,83 -3,88 6,25 -0,16
August 8,25 -0,56 9,26 2,79 6,65 -4,34 6,25 0,48
September 8,25 26,60 9,53 3,47 6,54 -0,94 6,25 -0,48
October 8,25 -5,51 10,70 4,83 6,50 0,63 6,25 -4,68
November 8,25 12,93 11,21 -0,80 6,49 -0,63 6,25 -4,57
December 8,08 -32,12 10,94 -2,52 6,48 -0,32 6,25 0,71
Average 8,63 1,05 9,12 3,60 7,42 -3,58 6,29 -0,84
Source: Data processed
Table 4, Average Annual Rate (in %)
Years Average Interest Rate per Year ∆
2006 11,83 -
2007 8,63 -27,07
2008 9,12 5,62
2009 7,42 -18,57
2010 6,29 -15,26
Source: Data Processed
The table and figure above shows the SBI in 2007 decreased by 27.07%. In 2008 SBI
rose 5.62%, this is because the depreciation of the Rupiah against the U.S. dollar, slowing the
rate of inflation, and domestic liquidity crunch because of the impact of the global financial
crisis. While the year 2009 to 2010 SBI rate continues to decline, it indicates that Indonesia's
economy has started to improve.
Rising interest rates are bad news for the stock market as investors will be interested to
invest their funds in the money market. This led to reduced demand for bonds and other
securities in the capital market (Bodie, et al, 2005). Exchange rate developments Rp / U.S. Dollar
Period 2007-2010 are shown in Table 4.5 and Figure 4.3 below, note exchange rate of Rp / U.S.
Dollar in December 2006 amounted to U.S. $ 9087 and the average exchange rate in 2006 was
Rp 9172).
Table 5, Progress Rate Monthly Period 2007-2011 (in Rp and %)
Months 2007 ∆ 2008 ∆ 2009 ∆ 2010 ∆
January 9.067 0,22 9.406 -0,78 11.167 1,39 9275 1,93
February 9.068 -0,01 9.181 2,39 11.853 -6,14 9.348 -0,78
March 9.164 -1,06 9.185 -0,04 11.850 0,03 9.169 1,92
April 9.098 0,72 9.209 -0,26 11.025 6,96 9.027 1,54
May 8.844 2,78 9.291 -0,89 10.393 5,74 9.183 -1,73
June 8.984 -1,58 9.296 -0,05 10.207 1,79 9.148 0,38
July 9.067 -0,93 9.163 1,42 10.111 0,93 9.049 1,08
August 9.367 -3,30 9.149 0,16 9.978 1,32 8.972 0,86
September 9.310 0,61 9.341 -2,09 9.901 0,77 8.976 -0,05
October 9.107 2,18 9.998 -7,04 9.483 4,22 8.928 0,53
November 9.264 -1,73 11.711 -17,13 9.470 0,13 8.938 -0,12
December 9.334 -0,75 11.325 3,30 9.458 0,13 9.023 -0,94
Average 9.139 -0,24 9.688 -1,75 10408 1,44 9086 0,39
Source: Data Processed
Table 6, Annual Rate Average Progression (in Rp and%)
Source:Data Processed
The rupiah against the U.S. dollar fluctuated throughout the year 2007-2010. In 2007, the
average exchange rate of around Rp 9139 per U.S. dollar, appreciated by 0.36% over the
previous year. By the end of October 2008, the exchange rate remained relatively stable. In
November 2008, the exchange rate fell sharply around Rp 11,711 per U.S. dollar. Until the first
quarter of 2009, depreciation is continuing as a result of continued deterioration of the global
financial crisis that began in the fourth quarter of 2008. However, since mid-2009 to 2010, the
exchange rate showed an appreciation trend again.
Years Average Annual Rate ∆
2006 9.172 -
2007 9.139 0,36
2008 9.688 -6,00
2009 10.408 -7,43
2010 9.086 12,70
Analysis
After processing using SPSS calculation of the obtained results are shown in some tables,
Table 7. Effect of Interest Rate (X1) and Exchange (X2) on Stock Return (Y)
Variable Mean Std.
Deviation n df
Correlation Regression r2
Sig.
Anova Hypothesis
Sig. Pearson t tTable
Stock
Return
(Y)
1.8929 11.20895
48 46
0.001 -0.420 -2.104
1.6787 0.280 0.001
Ho = rejected
Ha = accepted
SBI (X1) -0.8567 3.6354
Rate (X2) -0.0410 3.4568 0.001 0.457 2.543 Ho = rejected
Ha = accepted
Sources: Data Processed
The table 7 shows the mean value for the stock return variable (Y) by the number of data
(n) as much as 48% is 1.8929, meaning that these figures show that the average stock return of
banking companies during the year 2007-2010 amounted to 1.8929% . The standard deviation
for the stock return variable (Y) is equal to 11.2089, this figure shows that the standard deviation
for the stock return variable (Y) is relatively large because the value of the standard deviation
above the mean or average value.
The mean value in the variable interest rate change SBI (X1) is equal to -0.8567%,
meaning that these figures show that the average interest rate changes by -0.8567% SBI. The
standard deviation of a variable interest rate of SBI (X1) of 3.63537, indicating that the standard
deviation of a variable interest rate of SBI (X1) is relatively small because the value of standard
deviations below the mean or average value.
The mean value in the variable rate changes (X2) of -0.0410%, the figure shows the
average change in exchange rate is equal to -0.0410%. The standard deviation for the variable
rate (X2) of 3.45684, this figure shows the standard deviation of the exchange rate variable (X2)
is relatively small because the value of standard deviations below the mean or average value.
Significant correlation value of the independent variable interest rate of SBI (X1) is equal
to 0.001, and the value of Pearson corelation -0.420. means the variable interest rate of SBI (X1)
are associated with a strong negative stock returns dependent variable (Y), this is significant
because the value of SBI rate (X1) <0.05 or smaller than a predetermined standard error of 5%,
and value of P. Correlation in the range of 0.41 to 0.70 on the table boundary correlation
coefficient (table 3.2).
Significant correlation value of the independent variable rate (X2) of 0.001, and the value
of Pearson corelation 0.457, meaning that the variable rate (X2) are sufficiently strong positive
relation with stock return dependent variable (Y), this is significant because the value of the
exchange rate (X2) <0, 05 or smaller than a predetermined standard error of 5%, and the value
P.Correlation dikisaran rate from 0.41 to 0.70 in the table boundary correlation coefficient (table
3.2).
T value of independent variables SBI (X1) = -2.104, and the value of df = 46, the value of
t table = 1.687. Because value of -2.104 <-1.687 stated that there are negative effects between
changes in interest rates SBI with stock returns. So that the resulting outcome following
hypothesis: Ho: rejected and Ha: accepted.
T test of the independent variable rate (X2) = 2.543, with df = 46, the value of t table =
1.687. Since the value 2.543 > states that there is a significant effect of the exchange rate
changes to stock returns. So that the resulting outcome following hypothesis: Ho: rejected and
Ha: accepted.
According to the table 4.7 significance of 0.001. Because of the significant value of these
two independent variables are below 0.05 (0.001 < 0.05) states that there is a significant effect
between changes in interest rates and exchange rates SBI simultaneously to stock return. So that
the resulting outcome following hypothesis: Ho: rejected and Ha: accepted.
Adjusted r Square value is 0.248, indicating that stock returns (Y) independent of
changes in SBI (X1) and exchange rate (X2) 24.8% and the remaining 75.2% influenced by other
factors beyond the variable interest rate and exchange rate.
Data processing to obtain the results of constant β = 1.179, β SBI rate (X1) = -0.887, and
β rate (X2) = 1.128, that number can be created regression equation as: Y = 1,179 – 0,887 X1 +
1,128 X2; Y = Return stock; X1 = Interest Rate; X2 = Exchange. From the regression equation
above can be explained as follows: a) Constant value 1.179 states that if the interest rate (X1)
and exchange rate (X2) value 0 (a constant), then the stock return value is 1.179%. b) The
coefficient of the variable interest rate (X1) -0.887, suggesting that any increase in interest rate
by 1%, would return the shares to fall by 0.887% assuming exchange rate (X2) are constant. The
negative coefficient means negative relationship between interest rates to stock returns, the rising
interest rates fall then the stock returns, and vice versa. c) Regression coefficient of the variable
rate (X2) of 1.128 states that every 1% increase in exchange rate the stock return will increase by
1.128% assuming interest rate (X1) is constant. The coefficient is positive, meaning a positive
relationship between the exchange rate to stock returns, the rising exchange rate then the stock
return up anyway.
Table 8, Summary of Research Findings
No. Influence on stock returns Hypothesis Results Decision
1 Enterest rate - significant Accepted
2 Exchange rate + significant Accepted
Hypothesis Testing 1, the first hypothesis proposed interest rate and a significant negative
effect on stock returns of the banking sector, obtaining regression coefficient variable interest
rate of -0.887 with a significance of 0.041. Because of its significance is less than 5% or 0.05
then the first hypothesis is accepted which means there is a significant negative effect of the
interest rate on stock return of the banking sector. The results of this study are consistent with the
results of research conducted by Ishfaq Ahmad (2010), Gudono (1999), Utami and Rahayu
(2003), and Granger (2000).
Hypothesis Testing 2, the second hypothesis proposed exchange has positive and
significant impact on the banking sector stock return, exchange rate regression coefficient
obtained for 1128 with a significant level of 0.015, which is significant value much lower than
0.05. Thus, the second hypothesis states that the exchange rate has positive and significant
impact on the banking sector stock returns accepted. This study is consistent with results by
Ishfaq Ahmad (2010) and Utami and Rahayu (2003), but these results are not consistent with the
study conducted by Hardiningsih et al (2001).
Discussion of Research Findings
Interest rate effect on stock return, the first hypothesis proposed states that interest rates
significantly and negatively related to stock returns of the banking sector. From these results
obtained by the regression coefficient variable interest rate of -0.887 with a significance value of
0.041. Since the significance value is less than α = 5%, the first hypothesis can be accepted,
which means there is a significant negative effect of the variable interest rate on stock return.
These results illustrate that higher interest rates will lead to lower stock returns and vice
versa. In the face of rising interest rates, shareholders tend to sell their shares back to the level of
interest rates at levels that are considered normal. These findings are consistent with the theory
that is used, which states that low interest rates will lead to lower borrowing costs. Low interest
rates will stimulate investment and economic activity will lead to stock price increases (Mok,
1993 in Dheny, 2009).
Associated with previous research, the results of this study are supported by Muhammad
Ishfaq Ahmad stated that interest rates negatively affect stock returns. But there is a difference
between the level of significance of this study to research done by Ishfaq Ahmad, it may be
caused by differences in the object studied. Ishfaq Ahmad used the stock market return as the
object of research, whereas this study uses stock returns of the banking sector which consists of
only seven companies. Theoretically, changes in the interest rate is inversely related to stock
return performance in the market (Tandelilin, 2010). This means that if interest rates decline the
return of shares in the market will tend to increase, and vice versa if the interest rate increase will
be followed by a negative reaction on the market performance. The test results in this study
indicate support for the theory.
The influence of exchange rate on stock return, the second hypothesis states that the
proposed exchange rate has positive and significant impact on stock returns of the banking
sector. The result showed the regression coefficients for the exchange rate variable with a value
of 1.128 significant at 0.015, level of significance is much lower than α = 5%. Thus, the second
hypothesis states that the exchange rate has positive and significant impact on the banking sector
stock returns can be accepted. The influence of the rupiah against the dollar indicates that the
strengthening of the rupiah exchange rate against the dollar may result in an increase in value of
the index of banking stocks.
In connection with previous research, this study is consistent and supports the results of
research conducted by Mudji Utami and Mujjilah Rahayu (2003), which states that the Rupiah
positive effect on stock returns. However, these results are inconsistent with the results of the
study Hardiningsih et al (2001), which states that the exchange rate negatively affect stock
returns. This may be due to differences in the samples used in the study Hardiningsih et al
(2001), the samples used are all companies listed in Jakarta Stock Exchange, while the samples
used in this study are 7 companies included in the banking sector.
Conclusion
This study attempts to examine, whether the changes in interest rates and exchange rates
can affect stock returns of the banking sector. The results of hypothesis testing using multiple
regression analysis with two independent variables which are interest rate and exchange rate and
dependent variable which is stock returns.
Based on the results of testing hypothesis 1 indicates that partially variable interest rates
significantly and negatively related to stock returns of the banking sector. Because the interest
rate is inversely proportional to stock returns, then rising interest rates will affect the sluggish
investment and economic activity resulting decline in stock returns.
Based on the results of testing hypothesis 2 suggests that partially variable currency
exchange rates have a positive and significant impact on stock returns of the banking sector. The
results suggest that stock returns are sensitive to the exchange rate with the positive direction
indicating changes in stock returns will increase if the exchange rate is also increasing.
The results showed little effect of interest rate and exchange rate on the dependent
variable is the stock return can be explained by the regression model to the companies included
in the banking sector amounted to only 24.8% and the remaining 75.2% is influenced by other
factors that are not included.
Suggestions
Investors in the banking sector is one of the important sectors in Indonesia should review
and consider first the movement of macro variables, namely interest rates and exchange rates
affect stock returns in the sector. It is expected to consider both of these things can determine the
selling or buying of shares in the banking sector.
If the value of the rupiah against the dollar began to strengthen the players should share
purchase shares of the banking sector because, according to the results of this study predicted
banking stocks would rise. Conversely, if the value of the rupiah weakened against the dollar it is
advisable to sell the shares of the banking sector due to stock prices in the sector will start to fall.
In terms of interest rates, if macroeconomic conditions began to show an increase in
interest rates should sell shares of stock players banking sector since the results of this study
predicts that stock returns will fall if interest rates increase. Conversely, if the macro economy
showing declining interest rates expected players to purchase shares of stock of the banking
sector due to expected stock returns of the banking sector will increase.
For academia, the research will be known variables that can influence stock returns and
the banks are able to assess which factors have a significant influence on stock return of the
banking sector.
Agenda for future research should be done with the scope of the object of research
studies with a longer time span and other macro variables. Macroeconomic variables that might
affect stock returns, among others: the level of inflation, economic growth, market risk and
economic conditions so as to provide a more comprehensive picture of the research results.
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