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Common Risk Factors and the Macroeconomy: New Evidence from the Japanese Stock Market

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Abstract

Using new data on returns and risk factors the paper considers the stock performance on the Japanese market, which is the second largest in the world and operates under unique macroeconomic conditions. We find that the CAPM model is not an adequate approach for the Japanese market. The Carhart model performs reasonably well but fails to reject the null hypothesis of a zero intercept for the full period. Extended tests reveal a structural change in asset prices in the year 1998. When separating the sample into two periods, the standard four factor model explains market returns much better. We show that the relation between stock returns and risk factors is affected by macroeconomic conditions, especially when considering the momentum strategy. The Japanese case illustrates the necessity of considering structural instability related to the macroeconomic development, which is especially important for countries and time periods with a sluggish economy.

Suggested Citation

  • Lucas Bretschger & Filippo Lechthaler, 2012. "Common Risk Factors and the Macroeconomy: New Evidence from the Japanese Stock Market," CER-ETH Economics working paper series 12/160, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    • Handle: RePEc:eth:wpswif:12-160
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    File URL: http://www.cer.ethz.ch/content/dam/ethz/special-interest/mtec/cer-eth/cer-eth-dam/documents/working-papers/WP-12-160.pdf
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    References listed on IDEAS

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    1. Chan, Louis K C & Hamao, Yasushi & Lakonishok, Josef, 1991. "Fundamentals and Stock Returns in Japan," Journal of Finance, American Finance Association, vol. 46(5), pages 1739-1764, December.
    2. Aretz, Kevin & Bartram, Söhnke M. & Pope, Peter F., 2010. "Macroeconomic risks and characteristic-based factor models," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1383-1399, June.
    3. Elhaj Walid, 2009. "New Evidence on Risk Factors, Characteristics and the Cross-Sectional Variation of Japanese Stock Returns," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 16(1), pages 33-50, March.
    4. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    5. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    6. Kent Daniel & Sheridan Titman & K.C. John Wei, 2001. "Explaining the Cross‐Section of Stock Returns in Japan: Factors or Characteristics?," Journal of Finance, American Finance Association, vol. 56(2), pages 743-766, April.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    9. MacKinlay, A Craig & Richardson, Matthew P, 1991. "Using Generalized Method of Moments to Test Mean-Variance Efficiency," Journal of Finance, American Finance Association, vol. 46(2), pages 511-527, June.
    10. Peter S. Schmidt & Andreas Schrimpf & Urs von Arx & Alexander F. Wagner & Andreas Ziegler, 2011. "On the Construction of Common Size, Value and Momentum Factors in International Stock Markets: A Guide with Applications," CER-ETH Economics working paper series 11/141, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    11. John M. Griffin & Xiuqing Ji & J. Spencer Martin, 2003. "Momentum Investing and Business Cycle Risk: Evidence from Pole to Pole," Journal of Finance, American Finance Association, vol. 58(6), pages 2515-2547, December.
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    Cited by:

    1. Mohan Subbiah & Frank J Fabozzi, 2016. "Equity style allocation: A nonparametric approach," Journal of Asset Management, Palgrave Macmillan, vol. 17(3), pages 141-164, May.
    2. Sheng-Ping Yang & Thanh Nguyen, 2019. "Skewness Preference and Asset Pricing: Evidence from the Japanese Stock Market," JRFM, MDPI, vol. 12(3), pages 1-10, September.

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    More about this item

    Keywords

    Risk factors; value; size; momentum; Japanese stocks; macroeconomic conditions; structural break;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G01 - Financial Economics - - General - - - Financial Crises
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other

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