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Research on global financial stability: the use of BIS international financial statistics

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  • Bank for International Settlements

Abstract

BIS statistics on international bank lending, collected by central banks under the auspices of the Euro-currency Standing Committee at the BIS since the late 1970s, have long been used to monitor risk exposures in the international financial system. For instance, these statistics provided clear and timely warnings about the scale and nature of external bank debt accumulation before al intermediation has evolved over the years, the scope of these statistics has been gradually broadened beyond bank lending to cover debt securities, syndicated credit facilities, and derivatives. These statistics are being used increasingly in economic research on questions related to global financial stability. However, it had been clear to us for some time that different researchers using these statistics were not always aware of each other's work. The BIS's Committee on the Global Financial System (the successor to the Euro-currency Standing Committee) therefore decided to sponsor a workshop of research based on the BIS international financial statistics. This volume contains papers presented at the workshop.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Bank for International Settlements, 2007. "Research on global financial stability: the use of BIS international financial statistics," CGFS Papers, Bank for International Settlements, number 29, August.
    • Handle: RePEc:bis:biscgf:29
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    References listed on IDEAS

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    1. Allayannis, George*Brown, Gregory W.*Klapper,Leo, 2001. "Exchange rate risk management : evidence from East Asia," Policy Research Working Paper Series 2606, The World Bank.
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    Cited by:

    1. Darvas, Zsolt, 2009. "Leveraged carry trade portfolios," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 944-957, May.
    2. Makoto Nirei & Vladyslav Sushko & Julián Caballero, 2016. "Bank Capital Shock Propagation via Syndicated Interconnectedness," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 67-96, January.
    3. Milcheva, Stanimira & Zhu, Bing, 2016. "Bank integration and co-movements across housing markets," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 148-171.

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