Analysis of Factors Affecting the Indonesian Syariah Stock Index
(ISSI) on the Indonesian Stock Exchange (IDX)
Siska Angriani Hasibuan
1
, Arwansyah
1
and Sri Fajar Ayu
1
1
Department of Economics, Faculty of Economics, State University of Medan, North Sumatra, 20219, Indonesia
Keywords: Indonesian Syariah Stock Index (ISSI), Inflation, BI Rate, Exchange Rate, Error Correction Model (ECM)
Abstract: The Indonesian Syariah Stock Index (ISSI) is an indicator that can be used by investors to know the
movements of the sharia stock market. This research aims to analyze the effect of the Indonesian Syariah
Stock Index (ISSI) on the Indonesian Stock Exchange (IDX). The analysis uses equations by the method of
Error Correction Model (ECM). This study analyzed the relationship between the dependent and independent
variables in both the short term and long term. Estimation results show that in the long term and the short
term, the variable amount of the inflation was a positif and significant in the short term but not significant in
the long term affect the Indonesian Syariah Stock Index (ISSI). The variable amount of the BI rate and
exchange rate was a negative and significant in the short term but not significant in the long term affect the
Indonesian Syariah Stock Index (ISSI). These results show that inflation, BI rate and exchange rate was
significant in the short term affect the Indonesian Syariah Stock Index (ISSI) on the Indonesian Stock
Exchange (IDX).
1 INTRODUCTION
The capital market has a very important role in the
economic development of a country, because with
increasing capital gathered in an economy will be
able to raise national income and employment for
the economy will be able to raise national income
and employment for the economy. Thus, the capital
market is one of the means that are effective in
moving the Community Fund for the next
transmitted on productive activities. In Indonesia,
the capital markets use the term stock exchanges.
Where, the capital market is a meeting between
parties that have excess funds with parties which
needs the funds by way of trade in securities. Capital
markets could also be interpreted as a market to
trade in securities that generally have aged more
than one year as stocks and bonds. While the place
where happened and selling securities called
Exchange. Therefore, the stock exchange is the
meaning of physical capital markets.
Sharia capital market in Indonesia is getting
lively with the birth of Indonesian Syariah Stock
Index (ISSI) issued by the Bapepam-LK and the
Board of the National Assembly of the Islamic
Ulama Indonesia (DSN-MUI) on May 12, 2011.
ISSI is an Islamic stock index that comprises all
shares listed in the Indonesia stock exchange and is
joined on the list of effects.
According to Syahrir (1995:81) to be able to
answer whether the stock market will continue to
grow on an ongoing basis then the most important
factors determining depends on two things, namely
the condition of macro economy Indonesia and
political stability nationwide. So the development of
Islamic stock index was also influenced by several
macro-economic and monetary factors such as Bank
Indonesia Certificate interest rate, inflation,
exchange rates and other internal factors such as the
condition of the national economy, the conditions
politics, security, Government policy, and others.
The development of Indonesian Syariah Stock
Index (ISSI) in Indonesia stock exchange (idx) for
kurum time 2015 – 2017 fluctuating progression. In
the year 2015, Indonesian Syariah Stock Index
(ISSI) experienced a growing increase in i.e. from
January 2015 until March 2015. With
katipitalisasinya Rp 2,997,601.71 (Billion) to reach
Rp 3,068,467.89 (billion) or experienced an increase
of 1.69%. But the following month decreased by
7.47%. The decline of Indonesian Syariah Stock
Index (ISSI) going to the Moon and back in
554
Hasibuan, S., Arwansyah, . and Ayu, S.
Analysis of Factors Affecting the Indonesian Syariah Stock Index (ISSI) on the Indonesian Stock Exchange (IDX).
DOI: 10.5220/0009506205540560
In Proceedings of the 1st Unimed International Conference on Economics Education and Social Science (UNICEES 2018), pages 554-560
ISBN: 978-989-758-432-9
Copyright
c
2020 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
Spetember increased until the end of December
2015.
Of the curve below can be known that ISSI from
January 2015 until December 2017 experiencing
fluctuations in each period features. On average in
the period of observation, i.e. Rp. ISSI value
3,069,621.312. The value of the highest ISSI
occurred in December 2017 i.e. Rp 3,704,543.09,
while the lowest values of ISSI occurs in September
2015 i.e. Rp 2,449,104.28. High low ISSI can reflect
the development of Sharia capital market in
Indonesia.
Figure 1: The development of Indonesian Syariah
Stock Index 2015-2017
Based on the classical view that the main
factors affecting inflation is the money supply and
credit. View of keynes then add some variables such
as interest rates, government spending and
investment (Ackley,1983:543).
Table 1: The Development of Indonesian Syariah
Stock Index (ISSI), Inflation BI Rate, Exchange
Rate (Kurs) in Indonesia
Month of
Year
Capitalisasion
ISSI
(Milyar)
Inf
BI
Rate
Kurs
January
2015 2997601 6.96 7.75 12672
February
2015 3045813 6.29 7.5 12932
Maret 2015 3068468 6.38 7.5 13074
April 2015 2852498 6.79 7.5 12963
May 2015 2960219 7.15 7.5 13224
June 2015 2863814 7.26 7.5 13339
July 2015 2813505 7.26 7.5 13539
Agust 2015 2591624 7.18 7.5 14067
September
2015 2449104 6.83 7.5 14653
Oktober
2015 2576748 6.25 7.5 13684
November
2015 2556257 4.89 7.5 13847
Desember
2015 2600851 3.35 7.5 13788
January
2016 2598203 4.14 7.25 13788
February
2016 2689933 4.42 7 13375
Maret 2016 2796013 4.45 6.75 13329
April 2016 2824409 3.6 6.75 13180
May 2016 2804579 3.33 6.75 13648
June 2016 3029644 3.45 6.5 13210
July 2016 3172188 3.21 6.5 13112
Agust 2016 3263157 2.79 5.25 13270
September
2016 3256322 3.07 5 13042
October
2016 3127302 3.31 4.75 13048
November
2016 3291469 3.58 4.75 13555
December
2016 3175053 3.02 4.75 13473
January
2017 3168780 3.49 4.75 13369
February
2017 3214256 3.83 4.75 13336
Maret 2017 3323611 3.61 4.75 13322
April 2017 3402986 4.17 4.75 13329
May 2017 3378520 4.33 4.75 13323
June 2017 3491395 4.37 4.75 13348
July 2017 3477373 3.88 4.75 13325
Agus 2017 3506954 3.82 4.5 13342
September
2017 3478918 3.72 4.25 13472
October
2017 3526648 3.58 4.25 13563
November
2017 3427607 3.3 4.08 13526
December
2017 3704543 3.61 3.96 13555
Source: Central Bureau of Statistics (BPS), Bank
Indonesia
Inflation in January 2015 experience
increased until July 2015 up to 0.93%. Then the
following month until November 2015 decline. The
development of the fluctuating inflation happen until
2017.
According to Mankiw (2005:157) the interest
rate is the price of connecting the present and future
and constitutes an important variable between
10.00%
5.00%
0.00%
5.00%
10.00%
Jan2015
April2015
Juli2015
Okt2015
Jan2016
April2016
Juli2016
Okt2016
Jan2017
April2017
Juli2017
Okt2017
IndonesianSyariahStockIndex(ISSI)
20152017
Analysis of Factors Affecting the Indonesian Syariah Stock Index (ISSI) on the Indonesian Stock Exchange (IDX)
555
macroeconomic variables. Or the market price of
transferring resources past and future or is the result
of savings and the cost of borrowing (Mankiw,
2005:494).
The development of the BI interest rate (BI Rate)
by the year 2015 on the 7.5 range experience. BI
interest rate (BI Rate) experienced a significant
decline until 2017 December.
The movement of the exchange rate of the rupiah
(exchange rate) from January to December 2015
2017 experienced trends that tend to rise with the
volatility is very high, this is a reflection of the
condition of the economy of the country. Over time,
from January 2016 rupiah exchange rate of Rp
13.788/dollar. But entered February until the middle
of March, the exchange rate of the rupiah gradually
experience the appreciation. However, until
December, school effects Trump, the rupiah
exchange rate experience depreiasi 1.8 percent. The
rupiah has been pushed back to positive sentiment
and strengthened through December 2016 rupiah
exchange rate of Rp 13.743/dollar. The exchange
rate of the rupiah tends to be stable through the year
2017.
In fact the company's share price is determined
by the company's prospects in the future. The share
price is a reflection of good corporate management
by management to create and utilize business
prospects, so take advantage and was able to fulfill
his responsibilities towards the owners, employees,
community, and Government. Therefore, the ability
to analyze the operating and financial performance
of the company as well as its market development
will greatly help the success of the investment in the
capital market. Based on the berlakang setting and
observing the State of the economy continues to
grow, the authors are interested in conducting a
study entitled "analysis of the factors that Affect
Indonesian Syariah Stock Index (ISSI) in Indonesia
stock exchange (BEI) ".
2 THEORETICAL FRAMEWORK
The stock is the securities described the inclusion of
capital into a company. While in principle the
Sharia, the inclusion of capital carried out on
companies – companies that do not violate the
principle – the principle of Shariah, such as the field
of gambling, usury, prohibited items such as
producing beer and others (Sutedi, 2011). According
to Kurniawan (2008), the stock of Sharia is shares
issued by a company that has the characteristics in
accordance with the Islamic Sharia.
Indonesian Syariah Stock Index (ISSI) is an
indicator that can be used by investors to know the
movement of the stock market. By looking at the
figures of the index, then it can be known whether
the current market movements increase or decrease
from the previous one. The index serves as an
indicator of market trends, that means the movement
of an index describing market conditions at any
given time.
According to Tandelilin (2010), inflation is the
trend of increased prices of products as a whole so
that's happening a decrease in the purchasing power
of money. Whereas Sukirno (2006) explains that
inflation is a process of rising prices are different in
anything the economy. Further Perspective (2000)
and Diantoro (2010) tells us that inflation is the
increase in the prices of goods and services in a
specific period of time. Inflation happens when
prices continue creeping up as a result of economic
growth or too the amount of money circulating in the
market. When a country is experiencing high
inflation and increase bersifatuncertainty (uncertain)
then the risk of investing in the asset-inflated
asetkeuangan and keredibilitas akanmelemah
domestic currency against global currencies.
The interest rate is the amount of interest payable
per unit of time is referred to as a percentage of the
amount loaned (Samuelson and Nordhaus, 2004).
The investment is also a function of the buga. The
higher the interest rate, the desire of the community
to make an investment also is getting smaller. The
reason, an entrepreneur will increase spending on its
investments in profits expected from the investment
is greater than the interest rate to be paid to the
investment fund is the cost for the use of funds (Cost
of Capital). Lower interest rates, then employers
would be more inclined to make investments,
because the cost of the use of funds is also the more
minor. According to Widoatmodjo (2007), the
interest rate of Bank Indonesia (BI-rate) is the
interest rate in response to changes in inflation and
exchange rate of the rupiah as a reference to the
banking interest rates.
Mankiw (2006) translation Chriswan Sungkono,
the exchange rate is the value used when someone
exchanged the currency of a country with the
currency of other countries. So the exchange rate is
the USD/INR value or the price of the rupiah which
is expressed in dollars, where the value is affected
by supply and demand. Exchange rates will affect
the sectors trade import export-related. Fluctuations
in the value of the uncontrolled rate can affect the
performance of companies listed on the stock
market. At a time when the value of the rupiah
UNICEES 2018 - Unimed International Conference on Economics Education and Social Science
556
terdespresiasi United States dollars, with the price of
imported goods become more expensive, especially
for a company that most raw material use of
imported products. The increase in the import of
such materials will automatically increase the cost of
production and in the end they would affect the rate
of decline in corporate profits, so this will have an
impact on the company's share price movement then
trigger against weakening of the movement of the
stock price index.
3 RESEARCH METHOD
Approach this research using a quantitative
approach, namely by means of measuring the
variables that are encircled by theory or a set theory
(conceptual framework). data collection is done
using secondary data sourced from the Central
Bureau of statistics (BPS), the financial services
authority (OJK), Bank Indonesia (BI) and of the
related reading material. The data used in this
research in the form of time series data (runtun time)
with a span of 3 years i.e. from January 2015 until
December 2017.
The estimation model used in this study is the
analysis of Error Correction Model (ECM) or
known by the error correction model is a model that
is used to look at the influence of long term and
short term from each of the independent variables
are bound against free (Satria, 2004). According to
Sargan, Engle and Granger, error correction model is
a technique for correcting an imbalance towards
short term long term balance, and may explain the
relationship between the variables bound to the free
variables on time now and time past. This analysis is
performed to correct imbalances in the short term
towards the long term. This study uses statistics
programs help E-Views of version 7.
4 ANALYSIS
4.1 Stationeritas Test
The first thing to do is to examine whether the data
is stationary or not. This Stasioneritas test needs to
be done because a regression analysis should not be
did when the data used is not stationary and
normally if it still done the resulting equations then
are a spurious regression.
4.1.1 Unit Root Test
The unit root test is the normal testing that was
introduced by David Dickey and Wayne Fuller. The
root test is done to find out whether the data used
stationary or not. Data of stationary time series data
that does not contain a root unit and vice versa.
Table 2: Unit Root Test Results
Variables
Value
ADF
Critical
Value
McKinnon
(α = 5%)
Description
ISSI
-
4.969355
-
2.948404
Stationary
INF
-
1.586033
-
2.948404
Not
Stationary
BI Rate
0.165
503
-
2.948404
Not
Stationary
Kurs
-
3.143863
-
2.948404
Stationary
Based on the chart above, showing that all
variables have not been stationary at level I or level
(O). This is because the value of the probability for a
variable inflation rates and BI Rate probability value
greater than α = 5% and the value of the ADF t-
statistics are smaller than the critical value
(Mackinon Critical Values) at α = 5%. Thus, testing
continued with the test of the degree of integration.
i. Integration Test
A test of the degree of integration is a test done to
measure at the level of diferensi to how data all the
variables are stationary. The method used is the
method Agumented Dickey Fuller (ADF) that is by
comparing a value to calculate the absolute value of
the ADF the ADF critical α = 5%. If the data is still
not stationary then this is done by the method of
testing with the next level of differentiation to
stationary data on the same level.
Table 3: Integration Test Results
Variables
Value
ADF
Critical
Value
McKinnon
(α = 5%)
Description
ISSI
-
9.773489
-
2.948404
Stationary
INF
-
5.146643
-
2.951125
Not
Stationary
BI Rate - -
Analysis of Factors Affecting the Indonesian Syariah Stock Index (ISSI) on the Indonesian Stock Exchange (IDX)
557
4.921036 2.951125 Not
Stationary
Kurs
-
6.995325
-
2.951125
Stationary
Based on the above table of results test of the
degree of integration (first diferrence) above, to see
that all the variables i.e. Indonesian Syariah Stock
Index (ISSI), BI Rate, inflation, and exchange rates
(exchange rate) has been stationary since smaller
probability value at α = 5% and larger ADF t-
statistics compared to the critical value (Mackinon
Critical Values) at α = 5%.
ii. Cointegration Test
In this research for the residual method using
Granger test based test. Residual based test method
using statistical tests Agumented Dickey Fuller
(ADF) i.e. by observing the regression residual
Granger stationary or not. Then this residual value
will be tested using the test Agumented Dickey
Fuller (ADF) to find out if the residual value of the
stationary or not. The results of this research show
that the estimated value of the ADF test > Critical
Value α = 5% (-6.412763 >-2.948404). So it could
be inferred that the empirical model used in this
study to qualify for the cointegration test.
Table 4: Cointegration Test Results
Variables
Value
ADF
Critical
Value
McKinnon
(α = 5%)
Description
ECT -
6.412763
0.0000 Stasionary
b. Estimation Error Correction Model
(ECM)
Estimation model of ISSI using the model of Error
Correction Model (ECM). To know that a used Error
Correction Model (ECM) is valid or not can be seen
from the value of the Error Correction Term (ECT)
are significant or not. Equation Error Correction
Model (ECM) for short-term period are as follows:
D (lnISSI
t
) = 232,8617 - -0,693554 INF – -
0,329883 BI_Rate - -0,871180 KURS
t
+ 0,526368
ECT + εi
Table 5: The Results of The Estimation of the Error
Correction Model (ECM) Short-Term
Independ Coefficient t-Statistic Prob
ent
Variables
D(LN
INF)
-
0.693554
-
0.208781
0.
8362
D(LN
SBI)
-
0.329883
-
0.305303
0.
7625
D(LN
KURS)
-
0.871180
-
0.043955
0.
9653
ECT 0.526368
21.28
540
0.
0000
C 232.8617
5.890
509
0.
0000
R-squared
Adjusted R-
squared
F-statistic
Prob(F-statistic)
Durbin-Watson
stat
0.954614
0.942847
81.12831
0.000000
2.777986
The results of the estimation of ECM above
shows that short-term changes in interest rates,
Inflation variable BI (BI Rate), and exchange rates
(exchange rate) have a negative effect against
Indonesian Syariah Stock Index (ISSI), cateris
paribus. The magnitude of the balance and changes
in Islamic Indonesia stock index (ISSI) against
previous period now was 52.64%. These
adjustments are obtained from coefficients ECT of
0,526368. While t-his statistics are 21.28540 with
probabilities (0.0000 < 0.05), so significant at α =
5% and means that the model can be used.
Equation Error Correction Model (ECM) for
long-term periods are as follows:
lnISSI
t-1
= 232.8617 + 2.039721INF – -3.239223
BI_Rate – -98.53454 KURS
t
+ εi
Table 6: The Results of The Estimation of Error
Correction Model (ECM) Long-Term.
Independe
nt
Variables
Coefficien
t
t-
Statistic
Prob
LNINF(-1)
2.0397
21
2.734
483
0.0
109
LNSBI(-1)
-
3.239223
-
5.354096
0.0
000
LNKURS(
-1)
-
98.53454
-
5.854761
0.0
000
C
232.86
17
5.890
509
0.0
000
UNICEES 2018 - Unimed International Conference on Economics Education and Social Science
558
R-squared
Adjusted R-
squared
F-statistic
Prob(F-
statistic)
Durbin-Watson
stat
0.954614
0.942847
81.12831
0.000000
2.777986
The results of the estimation of ECM above
show that long-term changes in the variable interest
rates on BI (BI Rate) and exchange rates (exchange
rate) of previous periods have a negative influence
on the stock index of Sharia against Indonesia
(ISSI), cateris paribus. So it is with the previous
period Inflation variables that have a positive
influence against Indonesian Syariah Stock Index
(ISSI).
4.2 Test Determination (R
2
)
4.2.1 F-Test (Simultaneous Test)
Based on the results of the processing of data by the
method of Error Correction short and long term
Model obtained the value of R Squared of 0.954614
with which means the variable inflation rate, the BI
Rate, and exchange rates (exchange rate) affect
Indonesian Syariah Stock Index (ISSI) in IDX
amounting to 95.46%.
Based on the results of the processing of data by
the method of Error Correction Model of short and
long term value of the obtained F count of 81.12831
with the probability of 0.00000 greater than α = 5%
therefore H0 is accepted. Then the variable inflation
rate, the BI Rate, and exchange rates (exchange rate)
in the short run and the long run insignificant
together against Indonesian Syariah Stock Index
(ISSI) in IDX.
5 RESULTS
5.1 Inflation
Based on the results of the study showed that
changes the level of inflation in the short term
negative effect to changes in Indonesian Syariah
Stock Index (ISSI) in BEI with a coefficient of-
0.693554. In the short term that the statistics of
0.208781 smaller than the t-table (-0.208781 >
2.03693) and a smaller probability (0.8362 > 0.05)
then the Ho is rejected. This means that in the short
term inflation rate have an effect that is not
significant and marked negative against Indonesian
Syariah Stock Index (ISSI) in IDX.
While in the long-term government change
inflation rate long term positive effect to changes in
Indonesian Syariah Stock Index (ISSI) in the BEI by
a coefficient of 2.039721. In the long term that the t-
statistic of 2.734483 greater than t-table (2.734483 <
2.03693) and a smaller probability (0, 0109 > 0.05)
then Ho accepted. This means that in the long run
inflation rate significantly to the influential
Indonesian Syariah Stock Index (ISSI) in IDX.
5.2 BI Rate
Based on the results of the study showed changes in
the BI Rate in the short term to change Indonesian
Syariah Stock Index (ISSI)
in BEI with a coefficient
of-0.329883. In the short term that the t-statistics
registration-0.305303 smaller than the t-table (-
0.305303 < 2.03693) and greater probability (0.7625
> 0.05) then the Ho is rejected. This means that in
the short term the BI Rate influence is not significant
and marked negative against Indonesian Syariah
Stock Index (ISSI)
in IDX.
While in the long-term BI Rate negative
effect to changes in Indonesian Syariah Stock Index
(ISSI) in BEI with a coefficient of-3.239223. In the
long run bahwat-statistics registration 5.354096
more besardari t-table (5.354096 > 2.03693) and
greater probability (0.0000 > 0.05) then Ho
accepted. Then the variable BI Rate in the long run
have significant influence towards Islamic Indonesia
stock index (ISSI) in IDX.
5.3 The Exchange Rate
Based on the results of the study showed that
changes in exchange rates (exchange rate) in the
short term have no effect against Islamic Indonesia
stock index changes (ISSI) in BEI with a coefficient
of-0.871180. In the short term that the t-statistic of
21.28540 greater than t-table (21.28540 > 2.03693)
and greater probability (0.9653 > 0.05) then the Ho
is rejected. This means that in the short term
exchange rates (exchange rate) does not have
significant influence towards Indonesian Syariah
Stock Index (ISSI)
in IDX.
While in the long term changes in exchange
rates (exchange rate) against the potential negative
effect long-term change in Indonesian Syariah Stock
Index (ISSI) in BEI with a coefficient of-98.53454.
In the long term that the t-statistic of 5.890509
greater than t-table (5.890509 > 2.03693) and greater
probability (0.0000 > 0.05) then Ho accepted. Then
Analysis of Factors Affecting the Indonesian Syariah Stock Index (ISSI) on the Indonesian Stock Exchange (IDX)
559
the variable exchange rates (exchange rate) over the
long term have significant influence towards
Indonesian Syariah Stock Index (ISSI) in IDX.
6 CONCLUSIONS
Based on the results of research and discussion, then
the conclusions of this research is the existence of a
negative influence in the short term between variable
inflation rate, the BI Rate and exchange rates against
Indonesian Syariah Stock Index (ISSI) and yet not
significant. While for the long term, the inflation
rate has a positive influence against Islamic
Indonesia stock index (ISSI) and significant. But, the
BI Rate and the exchange rate has a negative
influence against Indonesian Syariah Stock Index
(ISSI) and significant on the Indonesia stock
exchange (BEI) in Indonesia.
REFERENCES
Mankiw, N. Gregory. (2006). Macroeconomics. United
State: Worth Publisher, t.t. Diterjemahkan oleh Fitria
Liza dan Imam Nurmawan, Makroekonmi. Jakarta:
Erlangga.
________________. (2003). Teori Makroekonomi.
Jakarta: Erlangga.
Manurung, Jonni & Adler Haymans Manurung, Ekonomi
Keuangan dan Kebijakan Moneter. Jakarta: Erlangga.
Nasir, Muhammad, Fakriah, Ayuwandirah. “Analisis
Variabel Makroekonomi Terhadap Indeks Saham
Syariah Indonesia”. Hal. 62.
Paramita, Alina. “Analisis Pengaruh Indikator
Makroekonomi, Indeks Harga Saham Gabungan,
Bursa Saham Syariah Internasional Terhadap Indeks
Saham Syariah Indonesia”. Hal, 100-101.
Purnawan, Irfan. “Analisis Pengaruh Makroekonomi
Domestik Dan Makroekonomi Global Terhadap
Indeks Saham Syariah Indonesia (ISSI) Periode 2011-
2014”. Hal. 27.Suciningtias, Siti Aisiyah dan Rizki
Khoiroh “Analisis Dampak Variabel Makro Ekonomi
Terhadap Indeks Saham Syariah Indonesia (ISSI)”.
Hal. 410.
Samuelson, P.A, Nordhaus,W.D, (2004). Ilmu
Makroekonomi, Edisi Tujuh Belas, Jakarta: PT. Media
Golbal Edukasi.
Dwi Ari Ambarwati, Sri. (2010). Manajemen Keuangan
Lanjut. Yogyakarta: Graha Ilmu.
Tandeliin, Eduardus. 2001. Analisis Investasi dan
Manajemen Portofolio. Yogyakarta: BPFE.
Wahyuningrum, Meylani. “Analisis Faktor-Faktor Yang
Mempengaruhi Indeks Saham Syariah Indonesia
(ISSI)”. Hal. 12-13.
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