IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20210000.html
   My bibliography  Save this paper

Equity Risk Factors for the Long and Short Run: Pricing and Performance at Different Frequencies

Author

Listed:
  • Terri van der Zwan

    (Erasmus University Rotterdam)

  • Erik Hennink

    (Ortec Finance)

  • Patrick Tuijp

    (Ortec Finance)

Abstract

We find that the outperformance for Fama-French factors compared to macroeconomic factors in terms of fitting the cross-section of expected returns disappears when accounting for horizon effects. In addition, we obtain novel empirical relations between macroeconomic factors and Fama-French factors at longer horizons. To obtain our results, we introduce a general linear multifactor asset pricing methodology that integrates systematic risk measured at different frequencies into a single pricing equation. Our setup allows for a setting where investors with different investment horizons may experience different levels of systematic risk, which could arise from delayed stock price reaction to systematic factor news.

Suggested Citation

  • Terri van der Zwan & Erik Hennink & Patrick Tuijp, 2021. "Equity Risk Factors for the Long and Short Run: Pricing and Performance at Different Frequencies," Tinbergen Institute Discussion Papers 21-062/III, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20210000
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/21062.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Esther Eiling, 2013. "Industry-Specific Human Capital, Idiosyncratic Risk, and the Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 68(1), pages 43-84, February.
    2. Hall, Alastair R. & Pelletier, Denis, 2011. "Nonnested Testing In Models Estimated Via Generalized Method Of Moments," Econometric Theory, Cambridge University Press, vol. 27(2), pages 443-456, April.
    3. Shen, Junyan & Yu, Jianfeng & Zhao, Shen, 2017. "Investor sentiment and economic forces," Journal of Monetary Economics, Elsevier, vol. 86(C), pages 1-21.
    4. Hansen, Lars Peter & Jagannathan, Ravi, 1997. "Assessing Specification Errors in Stochastic Discount Factor Models," Journal of Finance, American Finance Association, vol. 52(2), pages 557-590, June.
    5. Edwin J. Elton & Martin J. Gruber & Deepak Agrawal & Christopher Mann, 2001. "Explaining the Rate Spread on Corporate Bonds," Journal of Finance, American Finance Association, vol. 56(1), pages 247-277, February.
    6. Fama, Eugene F. & Gibbons, Michael R., 1984. "A comparison of inflation forecasts," Journal of Monetary Economics, Elsevier, vol. 13(3), pages 327-348, May.
    7. Dimitris Politis & Halbert White, 2004. "Automatic Block-Length Selection for the Dependent Bootstrap," Econometric Reviews, Taylor & Francis Journals, vol. 23(1), pages 53-70.
    8. Fulvio Ortu & Federico Severino & Andrea Tamoni & Claudio Tebaldi, 2020. "A persistence‐based Wold‐type decomposition for stationary time series," Quantitative Economics, Econometric Society, vol. 11(1), pages 203-230, January.
    9. Douglas Rivers & Quang Vuong, 2002. "Model selection tests for nonlinear dynamic models," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 1-39, June.
    10. Laura Xiaolei Liu & Lu Zhang, 2008. "Momentum Profits, Factor Pricing, and Macroeconomic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2417-2448, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gospodinov, Nikolay & Kan, Raymond & Robotti, Cesare, 2013. "Chi-squared tests for evaluation and comparison of asset pricing models," Journal of Econometrics, Elsevier, vol. 173(1), pages 108-125.
    2. Kang, Hankil & Kang, Jangkoo & Lee, Changjun, 2017. "Ultimate consumption risk and investment-based stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 473-486.
    3. 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.
    4. Fu, Zhonghao & Hong, Yongmiao & Su, Liangjun & Wang, Xia, 2023. "Specification tests for time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 235(2), pages 720-744.
    5. Marmer, Vadim & Otsu, Taisuke, 2012. "Optimal comparison of misspecified moment restriction models under a chosen measure of fit," Journal of Econometrics, Elsevier, vol. 170(2), pages 538-550.
    6. Warshaw, Evan, 2019. "Extreme dependence and risk spillovers across north american equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 237-251.
    7. Raymond Kan & Cesare Robotti & Jay Shanken, 2013. "Pricing Model Performance and the Two‐Pass Cross‐Sectional Regression Methodology," Journal of Finance, American Finance Association, vol. 68(6), pages 2617-2649, December.
    8. Lee, Seojeong, 2014. "Asymptotic refinements of a misspecification-robust bootstrap for generalized method of moments estimators," Journal of Econometrics, Elsevier, vol. 178(P3), pages 398-413.
    9. Berrada, Tony & Detemple, Jérôme & Rindisbacher, Marcel, 2018. "Asset pricing with beliefs-dependent risk aversion and learning," Journal of Financial Economics, Elsevier, vol. 128(3), pages 504-534.
    10. John L. Glascock & Wikrom Prombutr & Ying Zhang & Tingyu Zhou, 2018. "Can Investors Hold More Real Estate? Evidence from Statistical Properties of Listed REIT versus Non-REIT Property Companies in the U.S," The Journal of Real Estate Finance and Economics, Springer, vol. 56(2), pages 274-302, February.
    11. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    12. Chuan ‘Chewie’ Ang, Tze & Lam, F.Y. Eric C. & Ma, Tai & Wang, Shujing & Wei, K.C. John, 2019. "What is the real relationship between cash holdings and stock returns?," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 513-528.
    13. Hammami Yacine & Jilani Faouzi, 2011. "Testing Factor Pricing Models in Tunisia: Macroeconomic Factors vs. Fundamental Factors," Review of Middle East Economics and Finance, De Gruyter, vol. 7(2), pages 1-22, September.
    14. Francesco Bravo, 2022. "Misspecified semiparametric model selection with weakly dependent observations," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(4), pages 558-586, July.
    15. Balakumar, Suganya & Dash, Saumya Ranjan & Maitra, Debasish & Kang, Sang Hoon, 2022. "Do oil price shocks have any implications for stock return momentum?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 637-663.
    16. Matthew Backus & Christopher Conlon & Michael Sinkinson, 2021. "Common Ownership and Competition in the Ready-to-Eat Cereal Industry," NBER Working Papers 28350, National Bureau of Economic Research, Inc.
    17. Junpei Komiyama & Hajime Shimao, 2018. "Cross Validation Based Model Selection via Generalized Method of Moments," Papers 1807.06993, arXiv.org.
    18. Evan W. Anderson & Eric Ghysels & Jennifer L. Juergens, 2005. "Do Heterogeneous Beliefs Matter for Asset Pricing?," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 875-924.
    19. Nie, Jing & Yin, Libo, 2022. "Do dividends signal safety? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 82(C).
    20. Yinxia G. Nielsen , Caren, 2013. "Is Default Risk Priced in Equity Returns?," Knut Wicksell Working Paper Series 2013/2, Lund University, Knut Wicksell Centre for Financial Studies.

    More about this item

    Keywords

    Cross-Section of Stock Returns; Factors; Frequency Decomposition; Horizon Effects; Investment Horizon;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tin:wpaper:20210000. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.