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How Banks' Value-at-Risk Disclosures Predict their Total and Priced Risk: Effects of Bank Technical Sophistication and Learning over Time

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  • Chi-chun Liu

    (National Taiwan University)

  • Stephen G. Ryan

    (New York University)

  • Hung Tan

    (National Taiwan University)

Abstract

Using a sample of eight large commercial banks from 1994 to 2000, Jorion (2002) finds that banks' VaR disclosures for their trading portfolios predict trading income variability. We extend Jorion's findings using a larger sample of 17 banks from 1997 to 2002 reporting trading VaRs under FRR No. 48 (1997). We find that banks' trading VaRs have predictive power for trading income variability that increases with bank technical sophistication and over time. We find that banks' trading VaRs have predictive power for a bank-wide measure of total risk, return variability, and for two bank-wide measures of priced risk, beta and realized returns.

Suggested Citation

  • Chi-chun Liu & Stephen G. Ryan & Hung Tan, 2004. "How Banks' Value-at-Risk Disclosures Predict their Total and Priced Risk: Effects of Bank Technical Sophistication and Learning over Time," Review of Accounting Studies, Springer, vol. 9(2), pages 265-294, June.
    • Handle: RePEc:spr:reaccs:v:9:y:2004:i:2:d:10.1023_b:rast.0000028190.48665.d0
    DOI: 10.1023/B:RAST.0000028190.48665.d0
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    References listed on IDEAS

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    1. Venkatachalam, Mohan, 1996. "Value-relevance of banks' derivatives disclosures," Journal of Accounting and Economics, Elsevier, vol. 22(1-3), pages 327-355, October.
    2. Wong, MHF, 2000. "The Association between SFAS No. 119 derivatives disclosures and the foreign exchange risk exposure of manufacturing firms," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 38(2), pages 387-417.
    3. Choi, Jongmoo Jay & Elyasiani, Elyas & Kopecky, Kenneth J., 1992. "The sensitivity of bank stock returns to market, interest and exchange rate risks," Journal of Banking & Finance, Elsevier, vol. 16(5), pages 983-1004, September.
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