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Reconciling the Return Predictability Evidence under Structural Breaks

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초록

This study shows that the poor out-of-sample performance of the realtime adjusted dividend-price ratio reported in Lettau and Nieuwerburgh (2008) is mainly a result of the gap period between the occurrence of a break and its detection, which implies that the poor out-of-sample performance of the adjusted dividend-price ratio is due to the requirement in Bai and Perron’s (1998) procedure that breaks must be away from the boundaries of the sample. A substantial improvement in the out-of-sample performance of the adjusted dividend-price ratio during the gap period is shown with the use of Andrews’s (2003) procedure in the real-time adjustment of the dividend-price ratio. The newly suggested procedure for the adjusted dividend-price ratio in this study has better out-ofsample performance than the simple sample mean, although it is not significant.

Abstract

This study shows that the poor out-of-sample performance of the realtime adjusted dividend-price ratio reported in Lettau and Nieuwerburgh (2008) is mainly a result of the gap period between the occurrence of a break and its detection, which implies that the poor out-of-sample performance of the adjusted dividend-price ratio is due to the requirement in Bai and Perron’s (1998) procedure that breaks must be away from the boundaries of the sample. A substantial improvement in the out-of-sample performance of the adjusted dividend-price ratio during the gap period is shown with the use of Andrews’s (2003) procedure in the real-time adjustment of the dividend-price ratio. The newly suggested procedure for the adjusted dividend-price ratio in this study has better out-ofsample performance than the simple sample mean, although it is not significant.

참고문헌 (10)

  1. Andrews, D., "End-of-sample instability tests", Econometrica, 71(6), pp.1661~1694 (2003)
  2. Bai, J., "Estimating and testing linear models with multiple structural changes", Econometrica, 66(1), pp.47~78 (1998)
  3. Bai, J., "Computation and analysis of multiple structural change models", Journal of Applied Econometrics, 18(1), pp.1~22 (2003)
  4. Diebold, F. X., "Comparing predictive accuracy", Journal of Business and Economics Statistics, 13(3), pp.253~262 (1995)
  5. Goyal, A., "A comprehensive look at the empirical performance of the equity premium prediction", Review of Financial Studies, 21(4), pp.1455~1508 (2008)
  6. Lettau, M., "Reconciling the return predictability evidence", Review of Financial Studies, 21(4), pp.1607~1652 (2008)
  7. Liu, J., "On segmented multivariate regressions", Statistica Sinica, 7(2), pp.497~525 (1997)
  8. 박철범, "Election Cycles and Stock Market Reaction: International Evidence", The Korean Journal of Policy Studies, 30(3), pp.23~40 (2015), 서울대학교행정대학원
  9. Perron, P., "The great crash, the oil price shock, and the unit root hypothesis", Econometrica, 57(6), pp.1361~1401 (1989)
  10. Yao, Y. -C., "Estimating the number of change-points via Schwarz’ criterion", Statistics and Probability Letters, 6(3), pp.181~189 (1988)

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