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The term structure of banking crisis risk in the United States: A market data based compound option approach

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  • Eichler, Stefan
  • Karmann, Alexander
  • Maltritz, Dominik

Abstract

We use a compound option-based structural credit risk model to estimate banking crisis risk for the United States based on market data on bank stocks on a daily frequency. We contribute to the literature by providing separate information on short-term, long-term and total crisis risk instead of a single-maturity risk measure usually inferred by Merton-type models or barrier models. We estimate the model by applying the Duan (1994) maximum-likelihood approach. A strongly increasing total crisis risk estimated from early July 2007 onwards is driven mainly by short-term crisis risk. Banks that defaulted or were overtaken during the crisis have a considerably higher crisis risk (especially higher long-term risk) than banks that survived the crisis.

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  • Eichler, Stefan & Karmann, Alexander & Maltritz, Dominik, 2011. "The term structure of banking crisis risk in the United States: A market data based compound option approach," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 876-885, April.
  • Handle: RePEc:eee:jbfina:v:35:y:2011:i:4:p:876-885
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    1. Gropp, Reint & Vesala, Jukka & Vulpes, Giuseppe, 2006. "Equity and Bond Market Signals as Leading Indicators of Bank Fragility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(2), pages 399-428, March.
    2. Liao, Hsien-Hsing & Chen, Tsung-Kang & Lu, Chia-Wu, 2009. "Bank credit risk and structural credit models: Agency and information asymmetry perspectives," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1520-1530, August.
    3. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    4. Geske, Robert, 1979. "The valuation of compound options," Journal of Financial Economics, Elsevier, vol. 7(1), pages 63-81, March.
    5. Demirgüç-Kunt, Asli & Detragiache, Enrica, 2005. "Cross-Country Empirical Studies of Systemic Bank Distress: A Survey," National Institute Economic Review, National Institute of Economic and Social Research, vol. 192, pages 68-83, April.
    6. Geske, Robert, 1977. "The Valuation of Corporate Liabilities as Compound Options," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 541-552, November.
    7. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    8. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    9. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
    10. Bongini, Paola & Laeven, Luc & Majnoni, Giovanni, 2002. "How good is the market at assessing bank fragility? A horse race between different indicators," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 1011-1028, May.
    11. Arena, Marco, 2008. "Bank failures and bank fundamentals: A comparative analysis of Latin America and East Asia during the nineties using bank-level data," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 299-310, February.
    12. Jin‐Chuan Duan, 1994. "Maximum Likelihood Estimation Using Price Data Of The Derivative Contract," Mathematical Finance, Wiley Blackwell, vol. 4(2), pages 155-167, April.
    13. Berger, Allen N & Davies, Sally M & Flannery, Mark J, 2000. "Comparing Market and Supervisory Assessments of Bank Performance: Who Knows What When?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 641-667, August.
    14. Maltritz, Dominik & Eichler, Stefan, 2010. "Currency crisis prediction using ADR market data: An options-based approach," International Journal of Forecasting, Elsevier, vol. 26(4), pages 858-884, October.
    15. Claessens, Stijn & Pennacchi, George, 1996. "Estimating the Likelihood of Mexican Default from the Market Prices of Brady Bonds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(1), pages 109-126, March.
    16. Männasoo, Kadri & Mayes, David G., 2009. "Explaining bank distress in Eastern European transition economies," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 244-253, February.
    17. Jeffery W. Gunther & Mark E. Levonian & Robert R. Moore, 2001. "Can the stock market tell bank supervisors anything they don't already know?," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q II, pages 2-9.
    18. Krainer, John & Lopez, Jose A, 2004. "Incorporating Equity Market Information into Supervisory Monitoring Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(6), pages 1043-1067, December.
    19. Arnaud Jobert & Ms. Janet Kong & Mr. Jorge A Chan-Lau, 2004. "An Option-Based Approach to Bank Vulnerabilities in Emerging Markets," IMF Working Papers 2004/033, International Monetary Fund.
    20. Vasicek, Oldrich Alfonso, 1977. "Abstract: An Equilibrium Characterization of the Term Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 627-627, November.
    21. 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 637-654, May-June.
    22. Delianedis, Gordon & Geske, Robert, 1998. "Credit Risk and Risk Neutral Default Probabilities: Information About Migrations and Defaults," University of California at Los Angeles, Anderson Graduate School of Management qt7dm2d31p, Anderson Graduate School of Management, UCLA.
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    2. Driouchi, Tarik & So, Raymond H.Y. & Trigeorgis, Lenos, 2020. "Investor ambiguity, systemic banking risk and economic activity: The case of too-big-to-fail," Journal of Corporate Finance, Elsevier, vol. 62(C).
    3. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    4. Caggiano, Giovanni & Calice, Pietro & Leonida, Leone, 2014. "Early warning systems and systemic banking crises in low income countries: A multinomial logit approach," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 258-269.
    5. Kehinde Damilola Ilesanmi & Devi Datt Tewari, 2021. "An Early Warning Signal (EWS) Model for Predicting Financial Crisis in Emerging African Economies," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(1), pages 101-110, January.
    6. Ranjeeni, Kumari, 2014. "Sectoral and industrial performance during a stock market crisis," Economic Systems, Elsevier, vol. 38(2), pages 178-193.
    7. Wang, Xiandong & He, Jianmin, 2017. "A simple method for generalized sequential compound options pricing," Mathematical Social Sciences, Elsevier, vol. 87(C), pages 85-91.

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