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Worst-case Robust Approach to the Equity Premium Puzzle


  • Nalan Gulpinar

    (Imperial College, UK)

  • Turalay Kenc

    (Imperial College, UK)

  • Berc Rustem

    (Imperial College, UK)


The inability of standard intertemporal economic models under resonable values of the key parameters to generate the observed equity premium is termed as the equity premium puzzle. In order to resolve the puzzle, we propose a new approach based on worst-case analysis where agents make decisions under risk and uncertainty. The consumption investment problem faced by agents is then posed as a continuous min-max model. The min-max strategy provides a guaranteed optimal performance in view of continuum of scenarios, varying between upper and lower bounds, of asset price and dividend. The worst-case performance will improve if any other scenario other than the worst-case is realised. Our preliminary results show that the worst-case approach allivates the equity premium puzzle

Suggested Citation

  • Nalan Gulpinar & Turalay Kenc & Berc Rustem, 2006. "Worst-case Robust Approach to the Equity Premium Puzzle," Computing in Economics and Finance 2006 514, Society for Computational Economics.
  • Handle: RePEc:sce:scecfa:514

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    References listed on IDEAS

    1. Nickell, Pamela & Perraudin, William & Varotto, Simone, 2000. "Stability of rating transitions," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 203-227, January.
    2. Koopman, Siem Jan & Lucas, Andre & Monteiro, Andre, 2008. "The multi-state latent factor intensity model for credit rating transitions," Journal of Econometrics, Elsevier, vol. 142(1), pages 399-424, January.
    3. Robert A. Jarrow & David Lando & Stuart M. Turnbull, 2008. "A Markov Model for the Term Structure of Credit Risk Spreads," World Scientific Book Chapters,in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 18, pages 411-453 World Scientific Publishing Co. Pte. Ltd..
    4. Jafry, Yusuf & Schuermann, Til, 2004. "Measurement, estimation and comparison of credit migration matrices," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2603-2639, November.
    5. Robert B. Israel & Jeffrey S. Rosenthal & Jason Z. Wei, 2001. "Finding Generators for Markov Chains via Empirical Transition Matrices, with Applications to Credit Ratings," Mathematical Finance, Wiley Blackwell, vol. 11(2), pages 245-265.
    6. Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-1024, September.
    7. Guedon, Yann, 2005. "Hidden hybrid Markov/semi-Markov chains," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 663-688, June.
    8. Jackson, Patricia & Perraudin, William, 2000. "Regulatory implications of credit risk modelling," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 1-14, January.
    9. Altman, Edward I., 1998. "The importance and subtlety of credit rating migration," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1231-1247, October.
    10. Bangia, Anil & Diebold, Francis X. & Kronimus, Andre & Schagen, Christian & Schuermann, Til, 2002. "Ratings migration and the business cycle, with application to credit portfolio stress testing," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 445-474, March.
    11. Wei, Jason Z., 2003. "A multi-factor, credit migration model for sovereign and corporate debts," Journal of International Money and Finance, Elsevier, vol. 22(5), pages 709-735, October.
    12. Hu, Yen-Ting & Kiesel, Rudiger & Perraudin, William, 2002. "The estimation of transition matrices for sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1383-1406, July.
    13. Geweke, John & Marshall, Robert C & Zarkin, Gary A, 1986. "Mobility Indices in Continuous Time Markov Chains," Econometrica, Econometric Society, vol. 54(6), pages 1407-1423, November.
    14. Richard Cantor & Frank Packer, 1996. "Determinants and impact of sovereign credit ratings," Economic Policy Review, Federal Reserve Bank of New York, issue Oct, pages 37-53.
    15. Lando, David & Skodeberg, Torben M., 2002. "Analyzing rating transitions and rating drift with continuous observations," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 423-444, March.
    16. Christensen, Jens H.E. & Hansen, Ernst & Lando, David, 2004. "Confidence sets for continuous-time rating transition probabilities," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2575-2602, November.
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