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Dynamic Factors and Asset Pricing

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  • He, Zhongzhi (Lawrence)
  • Huh, Sahn-Wook
  • Lee, Bong-Soo

Abstract

This study develops an econometric model that incorporates features of price dynamics across assets as well as through time. With the dynamic factors extracted via the Kalman filter, we formulate an asset pricing model, termed the dynamic factor pricing model (DFPM). We then conduct asset pricing tests in the in-sample and out-of-sample contexts. Our analyses show that the ex ante factors are a key component in asset pricing and forecasting. By using the ex ante factors, the DFPM improves upon the explanatory and predictive power of other competing models, including unconditional and conditional versions of the Fama and French (1993) 3-factor model. In particular, the DFPM can explain and better forecast the momentum portfolio returns, which are mostly missed by alternative models.

Suggested Citation

  • He, Zhongzhi (Lawrence) & Huh, Sahn-Wook & Lee, Bong-Soo, 2010. "Dynamic Factors and Asset Pricing," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(3), pages 707-737, June.
    • Handle: RePEc:cup:jfinqa:v:45:y:2010:i:03:p:707-737_00
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    Citations

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    Cited by:

    1. Yin Liao & John Stachurski, 2011. "Parametric Conditional Monte Carlo Density Estimation," ANU Working Papers in Economics and Econometrics 2011-562, Australian National University, College of Business and Economics, School of Economics.
    2. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Multi-factor volatility and stock returns," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 132-149.
    3. Chen, Junping & Xiong, Xiong & Zhu, Jie & Zhu, Xiaoneng, 2017. "Asset prices and economic fluctuations: The implications of stochastic volatility," Economic Modelling, Elsevier, vol. 64(C), pages 128-140.
    4. Bhaduri, Saumitra & Gupta, Saurabh, 2015. "Understanding Investor behavior and it's implications on Capital Markets - The Indian Context," MPRA Paper 67948, University Library of Munich, Germany.
    5. Alejandro Bernales & Diether W. Beuermann & Gonzalo Cortazar, 2014. "Thinly traded securities and risk management," Estudios de Economia, University of Chile, Department of Economics, vol. 41(1 Year 20), pages 5-48, June.
    6. AKEL Veli & CISSE Boubacar Amadou, 2023. "Test Of Arbitrage Pricing Theory On Stock Indices: An Empirical Study On Bist100," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 75(1), pages 7-18, April.
    7. Anari, Ali & Kolari, James, 2019. "The Fisher puzzle, real rate anomaly, and Wicksell effect," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 128-148.
    8. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Dynamic factors and asset pricing: International and further U.S. evidence," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 21-39.
    9. Cortazar, Gonzalo & Beuermann, Diether & Bernales, Alejandro, 2013. "Risk Management with Thinly Traded Securities: Methodology and Implementation," IDB Publications (Working Papers) 4647, Inter-American Development Bank.
    10. Faruque, Muhammad U, 2011. "An empirical investigation of the arbitrage pricing theory in a frontier stock market: evidence from Bangladesh," MPRA Paper 38675, University Library of Munich, Germany.

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