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Managing Non-Core Liabilities and Leverage of the Banking System: A Building Block for Macroprudential Policy Making in Korea

Author

Listed:
  • Ali Alichi
  • Mr. Cheol Hong
  • Mr. Sang Chul Ryoo

Abstract

Korea has been active in implementing targeted macroprudential policies to address specific financial stability concerns. In this paper, we develop a conceptual model that could serve as a building block for the broader framework of macroprudential policy making in Korea. It is assumed that the policy maker imposes taxes on key aggregate financial ratios in the banking system to mitigate excessive leverage over the economic cycle. The model is calibrated for Korea. The results illustrate how countercyclical tools, such as simple taxes on key financial ratios, could be incorporated to enrich the broader macroprudential policy framework in the Korean context.

Suggested Citation

  • Ali Alichi & Mr. Cheol Hong & Mr. Sang Chul Ryoo, 2012. "Managing Non-Core Liabilities and Leverage of the Banking System: A Building Block for Macroprudential Policy Making in Korea," IMF Working Papers 2012/027, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2012/027
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    References listed on IDEAS

    as
    1. Burcu Aydin & Mr. Myeongsuk Kim & Mr. Ho-Seong Moon, 2011. "Financial Linkages Across Korean Banks," IMF Working Papers 2011/201, International Monetary Fund.
    2. Paolo Angelini & Stefano Neri & Fabio Panetta, 2011. "Monetary and macroprudential policies," Temi di discussione (Economic working papers) 801, Bank of Italy, Economic Research and International Relations Area.
    3. Burcu Aydin & Ms. Engin Volkan, 2011. "Incorporating Financial Stability in Inflation Targeting Frameworks," IMF Working Papers 2011/224, International Monetary Fund.
    4. International Monetary Fund, 2011. "Chile: Staff Report for the 2011 Article IV Consultation," IMF Staff Country Reports 2011/260, International Monetary Fund.
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    Cited by:

    1. Sergey Nadtochiy & Mykhaylo Shkolnikov, 2017. "Particle systems with singular interaction through hitting times: application in systemic risk modeling," Papers 1705.00691, arXiv.org.

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