Business Cycle Implication of Long-Run Risk Consumption CAPM: Korean Stock Market Evidence

Sam Ho Son (Kyungil University)
Ki Beom Binh (Myongji University)

Journal of Derivatives and Quantitative Studies: 선물연구

ISSN: 1229-988X

Article publication date: 31 August 2012

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Abstract

This paper examines long-run consumption based asset pricing models by studying sixteen Fama-French size and book-to-market portfolios in KRX (Korea Exchange) as test assets. In our empirical implementation, we follow both models of Hansen, Heaton and Li (2008) and Parker and Julliard (2005).

Hansen, Heaton and Li (2008) used recursive utility framework. The stochastic discount factor for this model depends on the present value of expectations about future consumption growth rates. In the empirical specification for this model, we follow Malloy, Moskowiz and Vissing-Jørgensen (2008). Meanwhile, Parker and Julliard (2005) proposed a model based upon the power utility framework and explicitly considers the consumption adjustment period.

Our main results are surprisingly consistent with the results of existing literatures. By assessing both of these models, we find that the significance of the excess returns of the test assets in predicting consumption growth peaks at the horizon of 2.5 years.

These empirical results partly proves the existence of long-run consumption risk in Korean economy. We can relate stock returns to long-run consumption risk and business cycle. Specifically, the stochastic discount factor of Parker and Julliard’s model captures the financial crises in the years of 1997 and 2003. Moreover, it catches the business cycle pattern of composite leading index in Korea.

Keywords

Citation

Son, S.H., Hwang, S. and Binh, K.B. (2012), "Business Cycle Implication of Long-Run Risk Consumption CAPM: Korean Stock Market Evidence", Journal of Derivatives and Quantitative Studies: 선물연구, Vol. 20 No. 3, pp. 265-295. https://doi.org/10.1108/JDQS-03-2012-B0001

Publisher

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Emerald Publishing Limited

Copyright © 2012 Emerald Publishing Limited

License

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode


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