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A survey of sampling-based Bayesian analysis of financial data

Author

Listed:
  • James Sfiridis
  • Alan Gelfand

Abstract

The capability of implementing a complete Bayesian analysis of experimental data has emerged over recent years due to computational advances developed within the statistical community. The objective of this paper is to provide a practical exposition of these methods in the illustrative context of a financial event study. The customary assumption of Gaussian errors underlying development of the model is later supplemented by considering Student-t errors, thus permitting a Bayesian sensitivity analysis. The supplied data analysis illustrates the advantages of the sampling-based Bayesian approach in allowing investigation of quantities beyond the scope of classical methods.

Suggested Citation

  • James Sfiridis & Alan Gelfand, 2002. "A survey of sampling-based Bayesian analysis of financial data," Applied Mathematical Finance, Taylor & Francis Journals, vol. 9(4), pages 273-291.
  • Handle: RePEc:taf:apmtfi:v:9:y:2002:i:4:p:273-291
    DOI: 10.1080/1350486022000026885
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    References listed on IDEAS

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    1. Dodd, Peter & Warner, Jerold B., 1983. "On corporate governance : A study of proxy contests," Journal of Financial Economics, Elsevier, vol. 11(1-4), pages 401-438, April.
    2. Ikenberry, David & Lakonishok, Josef & Vermaelen, Theo, 1995. "Market underreaction to open market share repurchases," Journal of Financial Economics, Elsevier, vol. 39(2-3), pages 181-208.
    3. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 2002. "Bayesian Analysis of Stochastic Volatility Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 69-87, January.
    4. Raj Aggarwal & Reena Aggarwal, 1993. "Security Return Distributions And Market Structure: Evidence From The Nyse/Amex And The Nasdaq Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 16(3), pages 209-220, September.
    5. Harvey, Campbell R. & Zhou, Guofu, 1993. "International asset pricing with alternative distributional specifications," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 107-131, June.
    6. Cowan, Arnold R. & Sergeant, Anne M. A., 2001. "Interacting biases, non-normal return distributions and the performance of tests for long-horizon event studies," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 741-765, April.
    7. Conrad, Jennifer, 1989. " The Price Effect of Option Introduction," Journal of Finance, American Finance Association, vol. 44(2), pages 487-498, June.
    8. Salinger, Michael, 1992. "Value Event Studies," The Review of Economics and Statistics, MIT Press, vol. 74(4), pages 671-677, November.
    9. Corrado, Charles J., 1989. "A nonparametric test for abnormal security-price performance in event studies," Journal of Financial Economics, Elsevier, vol. 23(2), pages 385-395, August.
    10. Boehmer, Ekkehart & Masumeci, Jim & Poulsen, Annette B., 1991. "Event-study methodology under conditions of event-induced variance," Journal of Financial Economics, Elsevier, vol. 30(2), pages 253-272, December.
    11. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    12. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    13. Loughran, Tim & Ritter, Jay R, 1995. " The New Issues Puzzle," Journal of Finance, American Finance Association, vol. 50(1), pages 23-51, March.
    14. repec:bla:restud:v:65:y:1998:i:3:p:361-93 is not listed on IDEAS
    15. Barber, Brad M. & Lyon, John D., 1997. "Detecting long-run abnormal stock returns: The empirical power and specification of test statistics," Journal of Financial Economics, Elsevier, vol. 43(3), pages 341-372, March.
    16. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
    17. Corrado, Charles J. & Zivney, Terry L., 1992. "The Specification and Power of the Sign Test in Event Study Hypothesis Tests Using Daily Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(03), pages 465-478, September.
    18. 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.
    19. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    20. Giaccotto, Carmelo & Sfiridis, James M., 1996. "Hypothesis testing in event studies: The case of variance changes," Journal of Economics and Business, Elsevier, vol. 48(4), pages 349-370, October.
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