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Bank lending channel of monetary policy: dynamic panel data evidence from Malaysia

Author

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  • Abdul Karim, Zulkefly
  • Wan Ngah, Wan Azman Saini
  • Abdul Karim, Bakri

Abstract

This paper aims to investigate the relevance of bank-lending channel (BLC) of monetary policy in a small-open economy, i.e. Malaysia by using disaggregated bank-level data set. A dynamic panel data method namely GMM framework proposed by Arellano and Bond (1991), Arellano and Bover (1995), and Blundell and Bond (1998) have been used in estimating the dynamic of banks’ loan supply function. The empirical evidence has stated that monetary policy shocks is significantly and negatively influenced the banks’ loan supply, and therefore has supported the existence of BLC in Malaysia. In addition, several bank-characteristics variables namely bank liquidity and bank capitalization (capital adequacy ratio) are also statistically significant in influencing the banks’ loan supply. Therefore, the implementation of monetary policy is effective in influencing economic activity via bank balance sheet position, in particular bank loans.

Suggested Citation

  • Abdul Karim, Zulkefly & Wan Ngah, Wan Azman Saini & Abdul Karim, Bakri, 2010. "Bank lending channel of monetary policy: dynamic panel data evidence from Malaysia," MPRA Paper 26157, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:26157
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    References listed on IDEAS

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    Cited by:

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    2. Lartey, Lawrencia, 2018. "The Signalling Effect of Monetary Policy Rate on Lending Rates in Ghana," MPRA Paper 92244, University Library of Munich, Germany.
    3. Said, Fathin Faizah, 2013. "The dynamic of bank lending channel: Basel regulatory constraint," Economic Modelling, Elsevier, vol. 31(C), pages 606-613.
    4. Douanla Tayo, Lionel, 2014. "Assessing the effect of monetary policy on economic growth in franc zone," MPRA Paper 60201, University Library of Munich, Germany.
    5. Seho, Mirzet & Alaaabed, Alaa & Masih, Mansur, 2016. "Risk-Sharing Financing of Islamic Banks: Better Shielded Against Interest Rate Risk?," MPRA Paper 82558, University Library of Munich, Germany.
    6. Ramic, Esma & Masih, Mansur, 2017. "Is islamic bank financing related to interest rate ? Malaysian evidence based on ARDL approach," MPRA Paper 107163, University Library of Munich, Germany.
    7. Xiong, Wanting & Wang, Yougui, 2018. "The impact of Basel III on money creation: A synthetic theoretical analysis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-34.
    8. Muhammad Zahid & Faiza Khalid & Muhammad Ramzan & Muhammad Zia Ul Haq & Wonseok Lee & Jinsoo Hwang & Jimin Shim, 2021. "The Significance of Monetary Policy Transmission Mechanism in the Sustainable Development of the SAARC Economic Community," Sustainability, MDPI, vol. 13(23), pages 1-19, November.
    9. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2013. "The impact of excess reserves beyond precautionary levels on Bank Lending Channels in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 358-377.

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    More about this item

    Keywords

    Bank-lending channel; monetary policy; dynamic panel data;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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