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Risk Taking Behavior and Capital Adequacy in a Mixed Banking System: New Evidence from Malaysia using Dynamic OLS and Two-step Dynamic System GMM Estimators

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  • Abdul Wahab, Hishamuddin
  • Rosly, Saiful Azhar
  • Masih, Abul Mansur M.

Abstract

The financial and banking crises around the world have prompted the regulators to revise, among others, the capital level of the banks to deal with the excessive risks taken by the banks, both conventional and Islamic. This study is the first attempt to investigate the relationship between risky assets and capital level in a mixed banking system applying the panel VECM and dynamic GMM estimators. The Malaysian mixed banking system is used as a case study taking panel data covering the period from December 2006 to October 2013. Our statistical results based on dynamic OLS (DOLS) tend to indicate that there is a positive relationship between the capital ratio (CAR) and risk weighted asset ratio (RWA) in the long run and also, the causality analysis based on panel VECM and two-step dynamic System GMM tends to indicate unidirectional causality in that the RWA is positively driven by CAR. Our results appear to suggest that higher capital buffer (excess capital above regulatory capital requirement) might have opened up more space for bank managers to taking risky positions while assisted by increasing domestic demand for credit facilities under favorable economic condition of Malaysia. In other words, high capital growth and capital buffer provides an extra cushion for Malaysian banks to pursue relatively riskier financing activities. For the full-fledge Islamic banks (IB) and Islamic bank subsidiaries (IBS), the existence of a cointegrating relationship between RWA and CAR suggests that the way the managers of Islamic banks behave towards risky assets follows the conventional practice.

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  • Abdul Wahab, Hishamuddin & Rosly, Saiful Azhar & Masih, Abul Mansur M., 2014. "Risk Taking Behavior and Capital Adequacy in a Mixed Banking System: New Evidence from Malaysia using Dynamic OLS and Two-step Dynamic System GMM Estimators," MPRA Paper 56975, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:56975
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    Cited by:

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    4. Syamsuar & Ummi Habibatul Islamiyah & Zamri bin Chik & Rahmat Saputra & Erizar, 2018. "The Effectiveness of Islamic Law Enforcement to Empower and Protect Women in Aceh Province, Indonesia," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 466-471:2.
    5. Muhammad Tahir & Haslindar Ibrahim & Abdul Hadi Zulkafli & Muhammad Mushtaq, 2020. "Influence of Exchange Rate Fluctuations and Credit Supply on Dividend Repatriation Policy of U.S. Multinational Corporations," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 267-290.
    6. Belkhir, Mohamed & Grira, Jocelyn & Hassan, M. Kabir & Soumaré, Issouf, 2019. "Islamic banks and political risk: International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 39-55.
    7. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio & Matarrese, Marco Maria, 2022. "The Determinants of Risk Weighted Asset in Europe," MPRA Paper 112924, University Library of Munich, Germany.
    8. Siti Nor Amira Mohamad & Mohamad Yazis Ali Basah & Muhammad Ridhwan Ab. Aziz, 2018. "Implementation of Islamic Elements as a Parameter for Credit Evaluation Process: Exploring Shariah Adviser’s Perceptions," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(6), pages 745-763, June.
    9. Cristiana Tudor, 2022. "The Nexus between Pollution and Obesity and the Magnifying Role of Media Consumption: International Evidence from GMM Systems Estimates," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    10. Amina Malik & Haroon Aziz & Buerhan Saiti & Shahab Ud Din, 2021. "The Impact of Earnings variability and Regulatory Measures on Income Smoothing: Evidence from Panel Regression," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(1), pages 183-201.
    11. Ibrahim, Mansor H. & Salim, Kinan & Abojeib, Moutaz & Yeap, Lau Wee, 2019. "Structural changes, competition and bank stability in Malaysia’s dual banking system," Economic Systems, Elsevier, vol. 43(1), pages 111-129.

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    More about this item

    Keywords

    Risk-taking; DOLS; Panel VECM; two-step dynamic System GMM;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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