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Predicting Korean Stock Market Return with Financial and Macro variables - Focusing on In-sample and Out-of-sample Tests -

  • Journal of Insurance and Finance
  • 2020, 31(1), pp.87-113
  • DOI : 10.23842/jif.2020.31.1.003
  • Publisher : Korea Insurance Research Institute
  • Research Area : Social Science > Business Management
  • Received : November 28, 2019
  • Accepted : February 21, 2020
  • Published : February 29, 2020

Chun, Sungju 1

1가천대학교

Accredited

ABSTRACT

This study evaluates the predictive power of 12 financial and macroeconomic variables for Korean stock market returns of different horizons. Both the return predictability of in-sample and out-of-sample tests are considered to examine each variable’s predictive ability more robustly. For this purpose, this article employs the MSE-F statistic developed by McCracken (2007) and the ENC-NEW statistic developed by Clark and McCracken (2001) to compare nested forecast models. In addition, the bootstrapping procedure is applied for both in-sample and out-of-sample inferences to address the finite-sample bias and the autocorrelated disturbances from overlapping observations. As a result, the book-to-market ratio variable is found to be the most consistent and significant predictor as it rejects the null of no predictability for both in-sample and out-of-sample tests.

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