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Firm characteristics, consumption risk, and firm-level risk exposures

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  • Dittmar, Robert F.
  • Lundblad, Christian T.

Abstract

We propose a novel approach to measuring firm-level risk exposures and costs of equity. Using a simple consumption-based asset pricing model that explains nearly two-thirds of the variation in average returns across 55 anomaly portfolios, we map the relation between exposures to consumption risk and portfolio-level characteristics. We use this relation to calculate exposures to consumption risk at the firm level and show that the calculated consumption risk exposures yield portfolios with large differences in average returns and ex post consumption risk exposures consistent with those predicted by our calculated betas. Further, industry betas and risk premia implied by our procedure display economically intuitive variation over time. Finally, Fama-MacBeth regressions suggest that risk exposures calculated using our procedure dominate those from alternative factor models at explaining cross-sectional variation in returns.

Suggested Citation

  • Dittmar, Robert F. & Lundblad, Christian T., 2017. "Firm characteristics, consumption risk, and firm-level risk exposures," Journal of Financial Economics, Elsevier, vol. 125(2), pages 326-343.
  • Handle: RePEc:eee:jfinec:v:125:y:2017:i:2:p:326-343
    DOI: 10.1016/j.jfineco.2017.05.002
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    Cited by:

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    2. Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2017. "How to Estimate Beta?," Hannover Economic Papers (HEP) dp-617, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2019. "Estimating beta: Forecast adjustments and the impact of stock characteristics for a broad cross-section," Journal of Financial Markets, Elsevier, vol. 44(C), pages 91-118.
    4. Schlag, Christian & Semenischev, Michael & Thimme, Julian, 2020. "Predictability and the cross-section of expected returns: A challenge for asset pricing models," SAFE Working Paper Series 289, Leibniz Institute for Financial Research SAFE.
    5. Clarke, Charles, 2022. "The level, slope, and curve factor model for stocks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 159-187.
    6. Dev R. Mishra, 2023. "Firm‐level political risk and implied cost of equity capital," International Review of Finance, International Review of Finance Ltd., vol. 23(3), pages 615-644, September.
    7. Souza, Thiago de Oliveira, 2018. "Size-related premiums," Discussion Papers on Economics 3/2018, University of Southern Denmark, Department of Economics.
    8. Yukun Liu & Ben Matthies, 2022. "Long‐Run Risk: Is It There?," Journal of Finance, American Finance Association, vol. 77(3), pages 1587-1633, June.
    9. Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
    10. Dou, Winston Wei & Ji, Yan & Wu, Wei, 2021. "Competition, profitability, and discount rates," Journal of Financial Economics, Elsevier, vol. 140(2), pages 582-620.
    11. Maio, Paulo & Silva, André C., 2020. "Asset pricing implications of money: New evidence," Journal of Banking & Finance, Elsevier, vol. 120(C).

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    More about this item

    Keywords

    Consumption-based asset pricing; Anomalies; Firm-level cost of capital;
    All these keywords.

    JEL classification:

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

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