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Improvement in finite sample properties of the Hansen-Jagannathan distance test

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  • Ren, Yu
  • Shimotsu, Katsumi

Abstract

Jagannathan and Wang [Jagannthan, R., and Wang, Z., "The conditional CAPM and the cross-section of expected returns." Journal of Finance, 51 (1996), 3-53] derive the asymptotic distribution of the Hansen-Jagannathan distance (HJ-distance) proposed by Hansen and Jagannathan [Hansen, L.P., and Jagannathan, R., Assessing specific errors in stochastic discount factor models." Journal of Finance, 52 (1997), 557-590], and develop a specification test of asset pricing models based on the HJ-distance. While the HJ-distance has several desirable properties, Ahn and Gadarowski [Ahn, S.C., and Gadarowski, C., "Small sample properties of the GMM specification test based on the Hansen-Jagannathan distance." Journal of Empirical Finance, 11 (2004), 109-132] find that the specification test based on the HJ-distance overrejects correct models too severely in commonly used sample size to provide a valid test. This paper proposes to improve the finite sample properties of the HJ-distance test by applying the shrinkage method [Ledoit, O., and Wolf, M., "Improved estimation of the covariance matrix of stock returns with an application to portfolio selection." Journal of Empirical Finance, 10 (2003), 603-621] to compute its weighting matrix. The proposed method improves the finite sample performance of the HJ-distance test significantly.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Empirical Finance.

Volume (Year): 16 (2009)
Issue (Month): 3 (June)
Pages: 483-506

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Handle: RePEc:eee:empfin:v:16:y:2009:i:3:p:483-506

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Web page: http://www.elsevier.com/locate/jempfin

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Keywords: Covariance matrix estimation Factor models Finite sample properties Hansen-Jagannathan distance Shrinkage method;

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References

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  1. Chapman, D.A., 1996. "Approximating the Asset Pricing Kernel," Papers 96-02, Rochester, Business - Financial Research and Policy Studies.
  2. Fama, Eugene F & French, Kenneth R, 1992. " The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-65, June.
  3. Shanken, Jay, 1992. "On the Estimation of Beta-Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 1-33.
  4. Olivier Ledoit & Michael Wolf, 2001. "Improved estimation of the covariance matrix of stock returns with an application to portofolio selection," Economics Working Papers 586, Department of Economics and Business, Universitat Pompeu Fabra.
  5. John Y. Campbell & John H. Cochrane, 2000. "Explaining the Poor Performance of Consumption-based Asset Pricing Models," Journal of Finance, American Finance Association, vol. 55(6), pages 2863-2878, December.
  6. Lars Peter Hansen & Ravi Jagannathan, 1994. "Assessing specification errors in stochastic discount factor models," Staff Report 167, Federal Reserve Bank of Minneapolis.
  7. Jonathan A. Parker & Christian Julliard, 2004. "Consumption Risk and the Cross-Section of Expected Returns," Working Papers 138, Princeton University, Woodrow Wilson School of Public and International Affairs, Discussion Papers in Economics..
  8. Hodrick, Robert J. & Zhang, Xiaoyan, 2001. "Evaluating the specification errors of asset pricing models," Journal of Financial Economics, Elsevier, vol. 62(2), pages 327-376, November.
  9. Ravi Jagannathan & Zhenyu Wang, 1996. "The conditional CAPM and the cross-section of expected returns," Staff Report 208, Federal Reserve Bank of Minneapolis.
  10. Kris Jacobs & Kevin Q. Wang, 2004. "Idiosyncratic Consumption Risk and the Cross Section of Asset Returns," Journal of Finance, American Finance Association, vol. 59(5), pages 2211-2252, October.
  11. Alexander Shapiro, 2002. "The Investor Recognition Hypothesis in a Dynamic General Equilibrium: Theory and Evidence," Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 97-141, March.
  12. Burnside, Craig & Eichenbaum, Martin S, 1996. "Small-Sample Properties of GMM-Based Wald Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 294-308, July.
  13. Martin Lettau & Sydney Ludvigson, 1999. "Resurrecting the (C)CAPM: a cross-sectional test when risk premia are time-varying," Staff Reports 93, Federal Reserve Bank of New York.
  14. Robert F. Dittmar, 2002. "Nonlinear Pricing Kernels, Kurtosis Preference, and Evidence from the Cross Section of Equity Returns," Journal of Finance, American Finance Association, vol. 57(1), pages 369-403, 02.
  15. Ravi Bansal & Hao Zhou, 2001. "Term structure of interest rates with regime shifts," Finance and Economics Discussion Series 2001-46, Board of Governors of the Federal Reserve System (U.S.).
  16. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  17. Fama, Eugene F & French, Kenneth R, 1996. " Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
  18. Ahn, Seung C. & Gadarowski, Christopher, 2004. "Small sample properties of the GMM specification test based on the Hansen-Jagannathan distance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 109-132, January.
  19. Bansal, Ravi & Hsieh, David A & Viswanathan, S, 1993. " A New Approach to International Arbitrage Pricing," Journal of Finance, American Finance Association, vol. 48(5), pages 1719-47, December.
  20. Ravi Jagannathan & Zhenyu Wang, 2002. "Empirical Evaluation of Asset-Pricing Models: A Comparison of the SDF and Beta Methods," Journal of Finance, American Finance Association, vol. 57(5), pages 2337-2367, October.
  21. Black, Fischer, 1972. "Capital Market Equilibrium with Restricted Borrowing," The Journal of Business, University of Chicago Press, vol. 45(3), pages 444-55, July.
  22. Ross, Stephen A., 1976. "The arbitrage theory of capital asset pricing," Journal of Economic Theory, Elsevier, vol. 13(3), pages 341-360, December.
  23. Vassalou, Maria, 2003. "News related to future GDP growth as a risk factor in equity returns," Journal of Financial Economics, Elsevier, vol. 68(1), pages 47-73, April.
  24. Ravi Jagannathan & Zhenyu Wang, 1998. "An Asymptotic Theory for Estimating Beta-Pricing Models Using Cross-Sectional Regression," Journal of Finance, American Finance Association, vol. 53(4), pages 1285-1309, 08.
  25. Maria Vassalou & Yuhang Xing, 2004. "Default Risk in Equity Returns," Journal of Finance, American Finance Association, vol. 59(2), pages 831-868, 04.
  26. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
  27. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, 09.
  28. Kan, Raymond & Zhang, Chu, 1999. "GMM tests of stochastic discount factor models with useless factors," Journal of Financial Economics, Elsevier, vol. 54(1), pages 103-127, October.
  29. Breeden, Douglas T., 1979. "An intertemporal asset pricing model with stochastic consumption and investment opportunities," Journal of Financial Economics, Elsevier, vol. 7(3), pages 265-296, September.
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Cited by:
  1. repec:wyi:journl:002162 is not listed on IDEAS
  2. Qihui Chen & Yu Ren, 2013. "Improvement in finite-sample properties of GMM-based Wald tests," Computational Statistics, Springer, vol. 28(2), pages 735-749, April.

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