IDEAS home Printed from https://ideas.repec.org/a/taf/jnlbes/v33y2015i3p418-429.html
   My bibliography  Save this article

Ambiguity in the Cross-Section of Expected Returns: An Empirical Assessment

Author

Listed:
  • Julian Thimme
  • Clemens Völkert

Abstract

This article estimates and tests the smooth ambiguity model of Klibanoff, Marinacci, and Mukerji based on stock market data. We introduce a novel methodology to estimate the conditional expectation, which characterizes the impact of a decision maker's ambiguity attitude on asset prices. Our point estimates of the ambiguity parameter are between 25 and 60, whereas our risk aversion estimates are considerably lower. The substantial difference indicates that market participants are ambiguity averse. Furthermore, we evaluate if ambiguity aversion helps explaining the cross-section of expected returns. Compared with Epstein and Zin preferences, we find that incorporating ambiguity into the decision model improves the fit to the data while keeping relative risk aversion at more reasonable levels. Supplementary materials for this article are available online.

Suggested Citation

  • Julian Thimme & Clemens Völkert, 2015. "Ambiguity in the Cross-Section of Expected Returns: An Empirical Assessment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 418-429, July.
  • Handle: RePEc:taf:jnlbes:v:33:y:2015:i:3:p:418-429
    DOI: 10.1080/07350015.2014.958230
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07350015.2014.958230
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/07350015.2014.958230?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fabrice Collard & Sujoy Mukerji & Kevin Sheppard & Jean‐Marc Tallon, 2018. "Ambiguity and the historical equity premium," Quantitative Economics, Econometric Society, vol. 9(2), pages 945-993, July.
    2. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2016. "Risks for the long run: Estimation with time aggregation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 52-69.
    3. Jianjun Miao & Bin Wei & Hao Zhou, 2019. "Ambiguity Aversion and the Variance Premium," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-36, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Konstantinos Georgalos, 2019. "An experimental test of the predictive power of dynamic ambiguity models," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 51-83, August.
    2. José Valentim Machado Vicente & Jaqueline Terra Moura Marins, 2019. "A Volatility Smile-Based Uncertainty Index," Working Papers Series 502, Central Bank of Brazil, Research Department.
    3. José Valentim Machado Vicente & Jaqueline Terra Moura Marins, 2021. "A volatility smile-based uncertainty index," Annals of Finance, Springer, vol. 17(2), pages 231-246, June.
    4. Kellerer, Belinda, 2019. "Portfolio Optimization and Ambiguity Aversion," Junior Management Science (JUMS), Junior Management Science e. V., vol. 4(3), pages 305-338.
    5. Dittmar, Robert F. & Schlag, Christian & Thimme, Julian, 2023. "Non-substitutable consumption growth risk," SAFE Working Paper Series 408, Leibniz Institute for Financial Research SAFE.
    6. Georgalos, Konstantinos, 2021. "Dynamic decision making under ambiguity: An experimental investigation," Games and Economic Behavior, Elsevier, vol. 127(C), pages 28-46.
    7. A. Ronald Gallant & Mohammad Jahan-Parvar & Hening Liu, 2015. "Measuring Ambiguity Aversion," Finance and Economics Discussion Series 2015-105, Board of Governors of the Federal Reserve System (U.S.).
    8. Chiaki Hara, 2020. "A Ranking over "More Risk Averse Than" Relations and its Application to the Smooth Ambiguity Model," KIER Working Papers 1019, Kyoto University, Institute of Economic Research.
    9. Borup, Daniel & Schütte, Erik Christian Montes, 2022. "Asset pricing with data revisions," Journal of Financial Markets, Elsevier, vol. 59(PB).
    10. Izhakian, Yehuda & Yermack, David, 2017. "Risk, ambiguity, and the exercise of employee stock options," Journal of Financial Economics, Elsevier, vol. 124(1), pages 65-85.
    11. Yehuda Izhakian & David Yermack & Jaime F. Zender, 2016. "Ambiguity and the Tradeoff Theory of Capital Structure," NBER Working Papers 22870, National Bureau of Economic Research, Inc.
    12. Jianjun Miao & Bin Wei & Hao Zhou, 2019. "Ambiguity Aversion and the Variance Premium," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-36, June.
    13. Lago-Balsalobre, Rubén & Rojo-Suárez, Javier & Alonso-Conde, Ana B., 2023. "Cross-sectional implications of dynamic asset pricing with stochastic volatility and ambiguity aversion," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    14. Chiaki Hara & Toshiki Honda, 2018. "ImpliedAmbiguity:Mean-Variance Efficiency andPricingErrors," KIER Working Papers 1004, Kyoto University, Institute of Economic Research.
    15. Julian Thimme, 2017. "Intertemporal Substitution In Consumption: A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 226-257, February.

    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. Bin Wei, 2021. "Ambiguity, Long-Run Risks, and Asset Prices," FRB Atlanta Working Paper 2021-21, Federal Reserve Bank of Atlanta.
    2. Hening Liu & Yuzhao Zhang, 2022. "Financial Uncertainty with Ambiguity and Learning," Management Science, INFORMS, vol. 68(3), pages 2120-2140, March.
    3. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 16, July-Dece.
    4. Zhang, Jian & Kong, Dongmin & Liu, Hening & Wu, Ji, 2019. "Asset pricing with time varying pessimism and rare disasters," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 165-175.
    5. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, March.
    6. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    7. Karantounias, Anastasios G., 2023. "Doubts about the model and optimal policy," Journal of Economic Theory, Elsevier, vol. 210(C).
    8. Jewitt, Ian & Mukerji, Sujoy, 2017. "Ordering ambiguous acts," Journal of Economic Theory, Elsevier, vol. 171(C), pages 213-267.
    9. Lundtofte, Frederik & Wilhelmsson, Anders, 2013. "Risk premia: Exact solutions vs. log-linear approximations," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4256-4264.
    10. Adrien Auclert, 2019. "Monetary Policy and the Redistribution Channel," American Economic Review, American Economic Association, vol. 109(6), pages 2333-2367, June.
    11. Péter Bayer & Ani Guerdjikova, 2020. "Optimism leads to optimality: Ambiguity in network formation," Working Papers hal-03005107, HAL.
    12. Traeger, Christian, 2021. "ACE - Analytic Climate Economy," CEPR Discussion Papers 15968, C.E.P.R. Discussion Papers.
    13. Panagiotidis, Theodore & Printzis, Panagiotis, 2020. "What is the investment loss due to uncertainty?," Global Finance Journal, Elsevier, vol. 45(C).
    14. Sujoy Mukerji & Han N. Ozsoylev & Jean‐Marc Tallon, 2023. "Trading Ambiguity: A Tale Of Two Heterogeneities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1127-1164, August.
    15. Sumru Altug & Cem Cakmakli & Fabrice Collard & Sujoy Mukerji & Han Ozsoylev, 2020. "Ambiguous Business Cycles: A Quantitative Assessment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 220-237, October.
    16. Backus, David & Ferriere, Axelle & Zin, Stanley, 2015. "Risk and ambiguity in models of business cycles," Journal of Monetary Economics, Elsevier, vol. 69(C), pages 42-63.
    17. Michèle Cohen & Jean-Marc Tallon & Jean-Christophe Vergnaud, 2011. "An experimental investigation of imprecision attitude and its relation with risk attitude and impatience," Theory and Decision, Springer, vol. 71(1), pages 81-109, July.
    18. Adoukonou, Olivier & André, Florence & Viviani, Jean-Laurent, 2021. "The determinants of the convertible bonds call policy of Western European companies," International Review of Financial Analysis, Elsevier, vol. 73(C).
    19. Klaus Adam & Albert Marcet & Juan Pablo Nicolini, 2016. "Stock Market Volatility and Learning," Journal of Finance, American Finance Association, vol. 71(1), pages 33-82, February.

    More about this item

    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:taf:jnlbes:v:33:y:2015:i:3:p:418-429. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UBES20 .

    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.