Macroeconomic Impact of Sharia Business Unit of Indonesian Islamic Banking On Liquidity Asymmetric Approach

Muadz Abdul Hakim, Noer Azam Achsani, Imam Teguh Saptono

Abstract


This study aims to determine the impact of macroeconomics on the liquidity of Indonesian Sharia Business Units (UUS). The liquidity in this study uses the Financing to Deposit Ratio (FDR). In contrast, the Macro Factors used are Inflation, Rupiah to Dollar Exchange Rate, BI Rate and Gross Domestic Product (GDP). The method used Nonlinear Autoregressive Distributed Lag (NARDL) method with data from January 2015 - June 2022. The results showed that in the long term, that affect UUS liquidity are Positive Rate, Negative Rate, Positive GDP, and Negative GDP, in the short term Inflation, Exchange Rate, Rate, and GDP are both positive and negative. Results show that UUS liquidity is vulnerable to changes in Indonesia's macroeconomic factors.


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References


Abdulmajid, M., & Hassan, M. K. (2011). The Impact of Foreign-Owned Islamic Banks and Islamic Bank Subsidiaries on the Efficiency and Productivity Change of Malaysian Banks. Journal of King Abdulaziz University Islamic Economics, 24(2), 149–176. https://doi.org/10.4197/Islec.24-2.5

Al-Harbi, A. (2020). Determinates of Islamic Banks Liquidity. Journal of Islamic Accounting and Business Research, 11(8), 1619–1632. https://doi.org/10.1108/JIABR-08-2016-0096

Chamberlin, G. (2010). Methods Explained: Temporal disaggregation. Economic & Labour Market Review, 4(11), 106–121. https://doi.org/10.1057/elmr.2010.157

Ismal, R. (2010). Strengthening and Improving the Liquidity Management in Islamic Banking. Humanomics, 26(1), 18–35. https://doi.org/10.1108/08288661011024977

Khattak, M. A., Ali, M., Hamid, B. A., & Islam, M. U. (2021). Competition, Diversification, and Stability in the Indonesian Banking System. Buletin Ekonomi Moneter Dan Perbankan, 24, 59–88. https://doi.org/10.21098/bemp.v24i0.1481

Mainata, D. (2021). Unit Usaha Syariah pada Perbankan Syariah: Tinjauan Pustaka dengan Bibliometrik. Al-Tijary, 79–94. https://doi.org/10.21093/at.v7i1.4354

Masvood, Y. (2019). A Critical Evaluation of articles Related to Islamic Banking. International Journal of Recent Technology and Engineering, 8(2S4), 302–306. https://doi.org/10.35940/ijrte.B1057.0782S419

Mohamad, A. A. S., Mohamad, M. T., & Samsudin, M. L. (2013). How Islamic Banks of Malaysia Managing Liquidity? An Emphasis on Confronting Economic Cycles. International Journal of Business and Social Science, 4(7), 253–263.

Moussa, M. A. Ben. (2015). The Determinants of Bank Liquidity: Case of Tunisia. International Journal of Economics and Financial Issues, 5(1), 249–259.

Nofinawati, N. (2016). Perkembangan Perbankan Syariah di Indonesia. JURIS (Jurnal Ilmiah Syariah), 14(2), 168–183. https://doi.org/10.31958/juris.v14i2.305

OJK. (2022). Laporan Tahunan OJK 2021 Transformasi Sektor Jasa Keuangan untuk Mendukung Pemulihan Ekonomi Nasional Pasca Pandemi.

Pertiwi, B. P., & Sudarsono, H. (2020). Analisis Likuiditas Bank Umum Syariah dengan Pendekatan Autoregressive distributed lag (ARDL). Al-Tijary Jurnal Ekonomi Dan Bisnis Islam, 6(1), 113–128.

Pesaran, M. H., & Shin, Y. (1999). An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis. In S. Strom (Ed.), Econometrics and Economic Theory in the 20th Century (pp. 371–413). Cambridge University Press. https://doi.org/10.1017/CCOL521633230.011

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to The Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616

Phillips, P. C. B., & Perron, P. (1988). Testing for a Unit Root in Time Series Regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335

Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework. In Festschrift in Honor of Peter Schmidt (pp. 281–314). Springer New York. https://doi.org/10.1007/978-1-4899-8008-3_9

Susandi, S., Achsani, N. A., & Ismal, R. (2020). The Liquidity Resilience of Islamic Banking in Indonesia. International Journal of Research and Review, 7(8), 137–148.

Trenca, I., Petria, N., & Corovei, E. A. (2015). Impact of Macroeconomic Variables upon the Banking System Liquidity. Procedia Economics and Finance, 32, 1170–1177. https://doi.org/10.1016/S2212-5671(15)01583-X

Zhemkov, M. (2022). Assessment of Monthly GDP Growth Using Temporal Disaggregation Methods. Russian Journal of Money and Finance, 81(2), 79–104.




DOI: http://dx.doi.org/10.21043/malia.v7i1.20892

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