Estimating Fair Premium Rates for Deposit Insurance Using Option Pricing Theory: An Empirical Study of Japanese Banks
This paper utilizes option pricing theory to analyze bank stock prices as one method of estimating fair variable deposit insurance premium rates in accordance with individual bank default risk, and conducts empirical analyses using Japanese data. The purpose of the analyses is to discuss the framework of public organsfdelegate monitoring of bank management. One of the functions of the deposit insurance system is such monitoring. The present system in the United States incorporates the subjective judgment of a bank supervisor combined with certain objective criteria for setting premium rates. There is a need to analyze the types of methodologies that might be viewed as options for adoption in Japan. To determine whether setting premium rates based on stock price information is a valid and stable approach, comparative analysis is conducted on the results of trial calculations utilizing this method versus other bank management indexes (credit ratings, etc.), and case analyses are carried out on failed banks. The conclusion is that while this method does involve a certain valuation error, it is an effective means of identifying banks with bad conditions. Moreover, the results confirm that by making adjustments for the changes in market expectations regarding the forbearance of the supervisory authorities, the accuracy of the estimates can be improved. Finally, this paper considers the impact on bank management that could be expected if this method were actually adopted.
Volume (Year): 17 (1999)
Issue (Month): 1 (May)
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- Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-54, May-June.
- Yuk-Shee Chan & Stuart I. Greenbaum & Anjan V. Thakor, 2004.
"Is Fairly Priced Deposit Insurance Possible?,"
- Richard Cantor & Frank Packer & Kevin Cole, 1997. "Split ratings and the pricing of credit risk," Research Paper 9711, Federal Reserve Bank of New York.
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