.0025
.0000
.0025
.0050
10 20 30 40 50 60 70 80 90 100
LN_M2 LN_KURS
LN_BI INFLASI
Response of LN_TABUNGAN to Cholesky
One S.D. Innovations
customers (spiritual) and rational customers, where
the emotional customers are considered to have
loyalty to sharia banks higher than the profit-
oriented rational customers.
Then, on the variable of BI rate to sharia saving,
it has a significant and negative influence. This is
because the rise in the interest rates will increase the
deposit interest rates and conventional bank lending
so that people tend to choose conventional banks as
a place to store their funds. According to the
classical economic view, saving is a function of the
interest rate. A high interest rate will encourage
people to save and sacrifice consumption. But unlike
Islamic banks that use the profit-sharing system for
mudharabah deposit savings and deposit bonuses for
wadi'ah contracts people prefer conventional banks
compared to sharia banks because the profit in
conventional banks is greater.
According to Sudarsono, the rise in BI rate is
responded to by the massive rate increase in
conventional banks. However, the increase in the
interest rate does not directly affect the sharia bank.
Sharia banks use a system of sale and purchase (ba'i)
where the margin payment is based on the fixed rate
of contract provisions and does not change at any
time as the interest. In Islamic banks the interest rate
is still a benchmark for determining the margin rate
and sharia ratio. Meanwhile, an increase in interest
rates will lower the public interest in depositing
funds in sharia banks because the margin level is
lower than the interest rate deposits in conventional
banks. Islamic banks will be more profitable for
investors because the margin charged is lower.
Increased interest and outflow for financing will
result in sharia banks increasing financing deposit
ratio (FDR) and while the savers will run to
conventional banks whose profits are higher, bank
deposit funds are reduced and rising as well as
exiting will increase the risk of liquidity of sharia
banks. To overcome this situation, sharia banks need
to increase the rate of bonus fee/profit sharing for
demand deposits, savings, and time deposits.
And in the last variable inflation has a significant
and negative effect on sharia savings in the long
term. This means that the increase in inflation can
cause a decrease in sharia savings. The results of this
study are in harmony with the research of Sukmana
(2017), Siaw and Peter (2015) which explains that
when the economy is in high inflation conditions,
then the economic actors either house the company's
willingness will be forced to disburse their spending
to buy goods for production by borrowing money
from the bank, thereby reducing the amount of
savings in the banking.
3.1 Impulse Response Function
Impulse response analysis is performed to see the
response trace of the dependent variable to the
shocks on error terms in the VAR system for some
future periods. Based on the IRF results in the sharia
savings model below, it explains that third-party
funds in sharia banks as a whole responded
negatively when there was a shock on macro-
economic variables consisting of inflation, BI rate,
Rupiah to US dollar (exchange rate) and the amount
of money in circulation (M2).
Figure 3.1 Impulse Response Function Sharia Saving
Model
Based on Figure 3.1 above, first, when there is a
shake on the variable M2 (the amount of money in
circulation), the saving in sharia banks responds
negatively in the 1st period to the 11th period. The
response of saving began to stabilize in the 15th
period. Second, when a shock occurs at the Rupiah
exchange rate against the US dollar, saving responds
positively in the 1st period to the 3rd period, and
changed to negative in 7th period. The Rupiah
exchange rate variable against US dollar found a
stability point in the 25th period. Third, when there
is a shock on the variable inflation, the amount of
saving in sharia banks responds negatively and
reaches the point of stability in the 17th period. And
finally, in the event of shocks to the BI rate variable,
saving responds negatively and reaches the point of
unity in the 18th period.
3.2 IDFEVD
After performing an Impulse Response Function
(IRF) analysis, the next step will be analysis using
Forecast Error Variance Decomposition (FEVD).
According to Ascarya (2009), FEVD is used to
predict the contribution of each variable's shocks to