IDEAS home Printed from https://ideas.repec.org/p/qmw/qmwecw/874.html
   My bibliography  Save this paper

The Contribution of Frictions to Expected Returns

Author

Listed:
  • Kazuhiro Hiraki

    (Queen Mary University of London)

  • George Skiadopoulos

    (Queen Mary University of London)

Abstract

We derive a model-free option-based formula to estimate the contribution of market frictions to expected returns (CFER) within an asset pricing setting. We estimate CFER for the U.S. optionable stocks. We document that CFER is sizable, it predicts stock returns and it subsumes the effect of frictions on expected returns as expected theoretically. The sizable alpha of a long-short portfolio formed on CFER is consistent with the size of market frictions and it is not due to model mis-specification. Moreover, we show that various option-implied measures proxy CFER, thus providing a theoretical explanation for their ability to predict stock returns.

Suggested Citation

  • Kazuhiro Hiraki & George Skiadopoulos, 2018. "The Contribution of Frictions to Expected Returns," Working Papers 874, Queen Mary University of London, School of Economics and Finance.
  • Handle: RePEc:qmw:qmwecw:874
    as

    Download full text from publisher

    File URL: https://www.qmul.ac.uk/sef/media/econ/research/workingpapers/2018/wp874.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Dimitri Vayanos & Paul Woolley, 2013. "An Institutional Theory of Momentum and Reversal," Review of Financial Studies, Society for Financial Studies, vol. 26(5), pages 1087-1145.
    3. Ian W. R. Martin & Christian Wagner, 2019. "What Is the Expected Return on a Stock?," Journal of Finance, American Finance Association, vol. 74(4), pages 1887-1929, August.
    4. Patrick Dennis & Stewart Mayhew, 2009. "Microstructural biases in empirical tests of option pricing models," Review of Derivatives Research, Springer, vol. 12(3), pages 169-191, October.
    5. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
    6. Xavier Gabaix & Arvind Krishnamurthy & Olivier Vigneron, 2007. "Limits of Arbitrage: Theory and Evidence from the Mortgage‐Backed Securities Market," Journal of Finance, American Finance Association, vol. 62(2), pages 557-595, April.
    7. Xing, Yuhang & Zhang, Xiaoyan & Zhao, Rui, 2010. "What Does the Individual Option Volatility Smirk Tell Us About Future Equity Returns?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(3), pages 641-662, June.
    8. Greenwood, Robin, 2005. "Short- and long-term demand curves for stocks: theory and evidence on the dynamics of arbitrage," Journal of Financial Economics, Elsevier, vol. 75(3), pages 607-649, March.
    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. Betermier, Sebastien & Calvet, Laurent & Jo, Evan, 2019. "A Supply and Demand Approach to Equity Pricing," CEPR Discussion Papers 13974, C.E.P.R. Discussion Papers.
    2. Nicolae Garleanu & Lasse Heje Pedersen & Allen M. Poteshman, 2009. "Demand-Based Option Pricing," Review of Financial Studies, Society for Financial Studies, vol. 22(10), pages 4259-4299, October.
    3. Dimitri Vayanos & Jean‐Luc Vila, 2021. "A Preferred‐Habitat Model of the Term Structure of Interest Rates," Econometrica, Econometric Society, vol. 89(1), pages 77-112, January.
    4. Robin Greenwood & Dimitri Vayanos, 2014. "Bond Supply and Excess Bond Returns," Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 663-713.
    5. Peter Van Tassel, 2020. "The Law of One Price in Equity Volatility Markets," Staff Reports 953, Federal Reserve Bank of New York.
    6. Manuel Ammann & Alexander Feser, 2019. "Robust estimation of risk‐neutral moments," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1137-1166, September.
    7. D’Amico, Stefania & King, Thomas B., 2013. "Flow and stock effects of large-scale treasury purchases: Evidence on the importance of local supply," Journal of Financial Economics, Elsevier, vol. 108(2), pages 425-448.
    8. Sadka, Ronnie, 2006. "Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk," Journal of Financial Economics, Elsevier, vol. 80(2), pages 309-349, May.
    9. Pedraza, Alvaro & Pulga, Fredy, 2019. "Asset price effects of peer benchmarking: Evidence from a natural experiment," International Review of Economics & Finance, Elsevier, vol. 62(C), pages 53-65.
    10. Zhiguo He & Arvind Krishnamurthy, 2013. "Intermediary Asset Pricing," American Economic Review, American Economic Association, vol. 103(2), pages 732-770, April.
    11. Paul Schneider & Christian Wagner & Josef Zechner, 2020. "Low‐Risk Anomalies?," Journal of Finance, American Finance Association, vol. 75(5), pages 2673-2718, October.
    12. Chen, Chin-Ho, 2019. "Downside jump risk and the levels of futures-cash basis," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    13. Liu, Clark & Wang, Shujing & Wei, K.C. John & Zhong, Ninghua, 2019. "The demand effect of yield-chasing retail investors: Evidence from the Chinese enterprise bond market," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 57-77.
    14. Pandolfi, Lorenzo & Williams, Tomas, 2019. "Capital flows and sovereign debt markets: Evidence from index rebalancings," Journal of Financial Economics, Elsevier, vol. 132(2), pages 384-403.
    15. He, Liang, 2019. "The seed of a crisis: Investor sentiment and bank liquidity," Finance Research Letters, Elsevier, vol. 29(C), pages 152-155.
    16. Paolo Pasquariello & Clara Vega, 2015. "Strategic Cross-Trading in the U.S. Stock Market," Review of Finance, European Finance Association, vol. 19(1), pages 229-282.
    17. Asparouhova, Elena & Bessembinder, Hendrik & Kalcheva, Ivalina, 2010. "Liquidity biases in asset pricing tests," Journal of Financial Economics, Elsevier, vol. 96(2), pages 215-237, May.
    18. Zhiguo He & Arvind Krishnamurthy, 2008. "A Model of Capital and Crises," NBER Working Papers 14366, National Bureau of Economic Research, Inc.
    19. Kelley Bergsma & Andy Fodor & Vijay Singal & Jitendra Tayal, 2020. "Option trading after the opening bell and intraday stock return predictability," Financial Management, Financial Management Association International, vol. 49(3), pages 769-804, September.
    20. Hsu, Ching-Chi & Wei, An-Pin & Chen, Miao-Ling, 2020. "Funding liquidity risk and the low-volatility anomaly: Evidence from the Taiwan stock market," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

    More about this item

    Keywords

    Alpha; Asset pricing; Implied volatility spread; Limits of arbitrage; Market frictions; Return predictability;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

    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:qmw:qmwecw:874. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nicholas Owen) The email address of this maintainer does not seem to be valid anymore. Please ask Nicholas Owen to update the entry or send us the correct email address. General contact details of provider: http://edirc.repec.org/data/deqmwuk.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.