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How Islamic Bank Managing Risk? An Emphasis on Anticipating Financial Crisis

The global economic crisis in 2008 shocked and pressured Indonesian macroeconomic and financial system stability. The decline in macroeconomic stability has an impact on banking policy in lending. Most banks in the world respond to the crisis by doing credit rationing, but how about Islamic bank response toward this condition in Indonesia? Therefore, this study aims to examine the effect of Capital Adequacy Ratio (CAR) and macroeconomic variables on the amount of Islamic banking financing in Indonesia. The method used in this study is the SVAR (Structural Vector Auto Regression) analysis method. The results showed that inflation, capital, and CAR variables had a significant effect on Islamic bank’s financing amount. In contrast, GDP had no significant impact on Islamic bank’s financing amount which means that Islamic banking in Indonesia was not implemented pro-cyclical based lending policy.


INTRODUCTION
The world economic conditions have experienced several crises that hit the world economy. One of which is global financial crisis in 2008 that significantly impacted the global economy and exacerbate the level of bad loans and spread to the globally integrated financial system. This condition is not only shock financial sector but also to the real sector through various mechanisms. Hence, it implied the urgency of maintaining financial system stabilization to avoid the large costs of rescue caused by the financial crisis (Demirbas, 2017). Meanwhile, macroeconomic policies that affect the economic cycle and business cycle in the future are created as an effort to anticipate any financial risk. It is because, the country's financial institution as such banks will respond to any financial cycle or turbulence such as economic recession by reducing credit or known as credit rationing (Cowling, 2010).
The availability of credit influenced by bank management that adjust the economy circumstances. Bank's management prefers risk-averse behavior when they have limitations in diversifying and distributing risk. In the condition of having limited level of capital, banks face risks such as non-performing loans, liquidity risk, and other risks that related to economic or non-economic factors (İncekara et al., 2019). Credit growth is one of the best predictor of economic condition both in expansionary or recession condition (financial instability) in a country (Jordà et al., 2011). Almost all banks in the world implemented in a pro-cyclical nature which tends to reduce their lending during periods of economic downturn. This policy is restrained it in both private and public banks which private banks are more reactive to interest rates changes and business cycle conditions (Chavan et al., 2019).
Meanwhile, when the economy is expanding exponentially that indicated by GDP growth and bank's high credit level of both Islamic banks and conventional banks (Ascarya et al., 2016). Any turmoil that occurs in macroeconomic conditions will affect credit and economic activity as a whole. This condition causes banks to prefer risk-averse management. Some research on the pro-cyclicality of banking in various parts of the world has been carried out by (Foos et al., 2010), (Jeong, 2010), (Ibrahim, 2016), (Ghosh, 2013), (Kupiec et al., 2013). Likewise, with GDP, the inflation rate can also affect the level of credit distribution. The level of lending demand is strongly influenced by economic conditions reflected by the level of inflation. Higher inflation can increase the borrower's capacity to repay loans by reducing the real value of the debt that has not been paid off. But on the other hand, an increase in inflation can also weaken the capacity of borrowers to make loan payments as a result of reduced real income when wages are rigid (Lin et al., 2016). The amount of lending issued by banks as an intermediary is undoubtedly influenced by the availability of funds owned by the bank itself. The capital ratio or CAR (Capital Adequacy Ratio) provides a reference for banks in providing capital decisions in the needs of developing business products and maintaining capital risks that may occur due to banking products and operations such as lending, etc. The CAR ratio illustrates that every form of investment, in the form of credit, for example, will always have or contain risk and will be mitigated by providing capital adjustment to a certain percentage of the investment value. But what about the response was given by Islamic banking in Indonesia? Ibrahim (2016) who examined the management of bank lending, found that the behavior of conventional banks was more cyclical compared to Islamic banks. Research conducted by Ghosh, (2013), which examined GCC banks from 1996-2009, found pro-cyclicality management worsened the condition of conventional banking because credit grew faster than Islamic banks when the economy experienced a period of expansion and had a more moderate impact. On Islamic banks, Ibrahim et al., (2018) using the GMM model, found that Islamic banks continues to greater financing channel compared to conventional banks when the economy is experiencing crisis pressures so that Islamic bank contributes to financial and economic stability.
Besides that, research conducted by Hasan et al., (2011) gives a clue that Islamic banks have better and more stable performance in channeling financing. Khediri et al., (2015) who investigated the features of conventional banks and Islamic banks in Gulf Cooperation Countries (GCC), found that Islamic banks were, on average, more profitable, more liquid, better capitalized, and had lower credit risk than conventional banks. Kabir et al., (2015) questioned the model used in measuring credit risk with Z score and NPL models. It is because these models tend to create a biased value if measuring the credit risk of Islamic banks. Therefore he proposed Merton's distance-to-default model than these models.
On the contrary, the results of the study Bourkhis et al., (2013) did not find differences between Islamic banks and conventional banks in dealing with the financial crisis. Another researcher, Aysan et al., (2018), found evidence that Islamic banks in Turkey did not show significant differences from conventional banks in channeling credit, both were pro-cyclical. Baskaya et al., (2017), who examined the policy framework in Turkey in the post-GFC period, underlined the importance of reformulating monetary policy considering that conventional policies are inadequate, for example, the policy of raising interest rates with the aim of inhibiting credit growth will in fact lead to an explosion of credit through capital inflow. Furthermore, Fakhri (2017) revealed that Islamic banks showed less stable performance compared to conventional banks due to moral hazard (corruption) which forced Islamic banks to use non-PLS instruments.
Different from Ascarya et al., (2016) who write the uses OLS, ECM, and ARDL in responding to the business cycle, this study uses the SVAR method by including macroeconomic fundamentals and CAR variables to determine the response of Islamic banks to the wave of the economy. Kupiec et al., (2013) pays more attention to credit risk (NPL) and variables of profitability as determinants of credit distribution. Ghosh, (2013). The sample of this study are GCC banks from 1996-2009 implied pro-cyclical banking behavior that worsened the impact of the economic crisis even though it was rather moderate than Islamic banks. This paper is also different from the findings of Lin et al., (2016) that examines the impact of macroeconomic factors on credit risk in conventional and Islamic banks in Indonesia regardless of the nature of the banking pro-cyclicality.The purpose of this paper is to investigate the behavior of Islamic banking financing in Indonesia in response to the economic cycle that proxied from the GDP variable and Capital Adequacy Ratio (CAR) variable and inflation as part of macroeconomic fundamentals.

RESEARCH METHODS
The method used to explain the influence of macroeconomic variables and macro prudential instruments on the growth of Islamic banking financing in the short and long term in Indonesia by the Structural Vector Auto Regression (SVAR) method. By uses Islamic bank data in Indonesia from January 2010 to December 2018, the SVAR method uses to answer the problem formulation in this study by the formation of restrictions used in the SVAR estimation model. The restrictions formed based on economic theories combined with empirical facts that have a function to limit the relationship between variables in this study. Furthermore, Structural Vector Auto Regression (SVAR) method is a model developed from the estimation method of Vector Auto Regression (VAR). The method uses to observe the turmoil that occurs in the variable under study and observe the response to the storm in the short and long term. The SVAR model also built to analyze the deterministic movements of the VAR model (Amisano et al., 2012).
Furthermore, SVAR results show that in the restriction model, if each significant variable is influenced by the variable that reflected by C (1), C (3), C (6), C (10), and C (15) respectively showing variable CAR, Capital, Inflation, GDP and Financing. The results of SVAR analysis for the variable CAR C 11 showed a negative coefficient of -0.004333 with a probability value of 0.0157 or significant at α = 5%, which indicates a direct relationship between CAR and financing. When there is an increase in CAR, it will be followed by a decrease in funding, and vice versa, when there is a decrease in CAR, it will be followed by an increase in funding. Then C 12 (Capital variable) and C 13 (inflation variable) and C 14 (GDP) has a positive coefficient value of 0.801309; 0.008470; and 0.040803 that indicates a direct relationship between variables of capital, inflation, and GDP with financing issued by Islamic banking. Capital and inflation variables have a significant effect on financing with a significance level of 1%, meaning that each increase in the two variables will be followed by an increase in financing. On the other hand, the GDP variable does not have a significant effect so an increase or decrease in GDP will not be followed by an increase or decrease in financing.
Capital variable C (12) has a significant relationship with Islamic banking financing in Indonesia. The estimation results that show the relationship between capital and financing are following the findings of research conducted by Baskaya et al., (2017), which explains that banks will increase credit supply when capital inflows are higher. Meanwhile, C (13)/inflation variable, has a significant influence on financing with a probability value of 0.0020 or significant at α = 1%. There is a relationship between inflation and financing following the research conducted by (Bitar et al., 2018), which explains that the financing decision or capitalization of Islamic banks is influenced by the economic and financial environment and market conditions. Although the capital decisions of Islamic banks refer to Islamic law, the role of a stable economic system will increase bank capitalization and reduce the risk of the financial sector. Ibrahim, (2016) shows different findings in which Islamic banking financing decisions are not influenced by the business cycle. Meanwhile, the inflation variable is proxied by pro-cyclical consumer price index.
The estimation results of CAR variables that show a negative and significant relationship between CAR and Islamic banking financing are in line with Yuanyan, (2017) who conducted research in the euro area banking. The bank capital costs are the most effective variable in slowing mortgage lending growth, and that the impact is transmitted mainly through price margins and the same banking channels as monetary policy. In line with that, research from Louati et al., (2015) explains that funding ratios have a significant impact on the behavior of Islamic banking. In contrast to the findings of the two researchers, Shaw et al., (2013) found that increasing capital ratios did not always reduce the number of loans provided by banks. It is provided that they were able to combine their equity financing by accumulating more equity instead of reducing loans. Meanwhile, the strong influence of GDP variables on bank financing is in line with research conducted by Ibrahim et al., (2018), which explains that the growth of Islamic bank financing actually increased during the crisis period.
This growth is higher than in conventional bank's credit growth. This shows that the shock of the real economy, which can be seen from the GDP growth rate, does not significantly affect financing growth. The results of Fungáčová et al., (2013) show a decrease in credit during the crisis period in Russia. This is supported Leroy et al., (2019) which shows that actual deviations of GDP from potential GDP cause greater credit fluctuations in countries when bank's competition is weak. The pro-cyclical nature is seen when monopolistic banking tends to provide cheaper credit during booms and more expensive during recessions. Aysan et al., (2018) studied macroeconomic shocks and Islamic bank behavior in Turkey which found that Islamic banks are as pro-cyclical as conventional banks. However, Islamic banks are more able to control excessive financing when experience growth (wealth) condition. The 2008-2009 crisis gave a different impact on credit growth between conventional banks and Islamic banks, where Islamic banks showed better performance (Hasan et al., 2011).
The influence of significant inflation variables on Islamic bank financing in this paper reinforces the finding Lin et al., (2016) that inflation has a positive and negative effect on conventional bank credit risk. Ghosh, (2015), who examined in 50 US states and the District of Columbia from 1984-2013, noted the inflation variable as the main determinant of credit risk (NPL). The Çatik et al., (2012) also found that credit volumes do not fluctuate in low inflation regimes.
The study also found that the GDP variable had no significant effect on Islamic bank financing in Indonesia. Moreover, lending does not depend on business cycle conditions that reflected in GDP's fluctuation. This fact is different from the nature of banking that will increase their lending volume when the economy increases and vice versa (pro-cyclical) (Foos et al., 2010), (Ibrahim,