IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v41y2021ics1544612320316743.html
   My bibliography  Save this article

Competition risk and expected stock returns

Author

Listed:
  • Taussig, Roi D.

Abstract

This study suggests a new cause of risk, which is linked to companies’ level of competition. In perfect competition in the long-term, companies cease to enter or exit the market when marginal costs equal average costs. This research presents a new measure for companies’ competition risk, hinging on marginal cost divided by average costs in the long run (MCAC). As this ratio increases, the company becomes more distant from perfect competition. The current study investigates 107,613 U.S. firm-year observations and finds that highly competitive companies have higher expected stock returns.

Suggested Citation

  • Taussig, Roi D., 2021. "Competition risk and expected stock returns," Finance Research Letters, Elsevier, vol. 41(C).
  • Handle: RePEc:eee:finlet:v:41:y:2021:i:c:s1544612320316743
    DOI: 10.1016/j.frl.2020.101860
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612320316743
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2020.101860?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. Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
    2. Vivek Sharma, 2011. "Stock returns and product market competition: beyond industry concentration," Review of Quantitative Finance and Accounting, Springer, vol. 37(3), pages 283-299, October.
    3. Gu, Lifeng, 2016. "Product market competition, R&D investment, and stock returns," Journal of Financial Economics, Elsevier, vol. 119(2), pages 441-455.
    4. José-Miguel Gaspar, 2006. "Idiosyncratic Volatility and Product Market Competition," The Journal of Business, University of Chicago Press, vol. 79(6), pages 3125-3152, November.
    5. Broadstock, David C. & Zhang, Dayong, 2019. "Social-media and intraday stock returns: The pricing power of sentiment," Finance Research Letters, Elsevier, vol. 30(C), pages 116-123.
    6. Kewei Hou & David T. Robinson, 2006. "Industry Concentration and Average Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1927-1956, August.
    7. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    8. John Lintner, 1965. "Security Prices, Risk, And Maximal Gains From Diversification," Journal of Finance, American Finance Association, vol. 20(4), pages 587-615, December.
    9. M. Cecilia Bustamante & Andres Donangelo, 2017. "Product Market Competition and Industry Returns," Review of Financial Studies, Society for Financial Studies, vol. 30(12), pages 4216-4266.
    10. Si Li & Xintong Zhan, 2019. "Product Market Threats and Stock Crash Risk," Management Science, INFORMS, vol. 65(9), pages 4011-4031, September.
    11. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    12. Robert Novy-Marx, 2011. "Operating Leverage," Review of Finance, European Finance Association, vol. 15(1), pages 103-134.
    13. Roi D. Taussig, 2017. "Stickiness of employee expenses and implications for stock returns," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 297-309, August.
    14. Jonathan Batten & Xuan Vinh Vo, 2019. "Liquidity And Firm Value In An Emerging Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(02), pages 365-376, March.
    15. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    16. Felipe L. Aguerrevere, 2009. "Real Options, Product Market Competition, and Asset Returns," Journal of Finance, American Finance Association, vol. 64(2), pages 957-983, April.
    17. A. P. Lerner, 1934. "The Concept of Monopoly and the Measurement of Monopoly Power," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 1(3), pages 157-175.
    18. Vo, Xuan Vinh & Truong, Quang Binh, 2018. "Does momentum work? Evidence from Vietnam stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 10-15.
    19. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    20. Black, Fischer, 1972. "Capital Market Equilibrium with Restricted Borrowing," The Journal of Business, University of Chicago Press, vol. 45(3), pages 444-455, July.
    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. David R. Gallagher & Katja Ignatieva & James McCulloch & Henk Berkman, 2015. "Industry concentration, excess returns and innovation in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 55(2), pages 443-466, June.
    2. Babar, Md. & Habib, Ahsan, 2021. "Product market competition in accounting, finance, and corporate governance: A review of the literature," International Review of Financial Analysis, Elsevier, vol. 73(C).
    3. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors [Financial intermediaries and the cross-section of asset returns]," Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    4. 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.
    5. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    6. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
    7. Bradrania, Reza & Veron, Jose Francisco & Wu, Winston, 2023. "The beta anomaly and the quality effect in international stock markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    8. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, November.
    9. Katarzyna Platt, 2020. "Corporate Bonds And Product Market Competition," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(3), pages 615-647, August.
    10. Karagiannidis, Iordanis & Vozlyublennaia, Nadia, 2016. "Limits to mutual funds' ability to rely on mean/variance optimization," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 282-292.
    11. Weichuan Deng & Pawel Polak & Abolfazl Safikhani & Ronakdilip Shah, 2023. "A Unified Framework for Fast Large-Scale Portfolio Optimization," Papers 2303.12751, arXiv.org, revised Nov 2023.
    12. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    13. Jiaju Miao & Pawel Polak, 2023. "Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy," Papers 2304.09947, arXiv.org.
    14. Jawad Mohammad & Attiya Yasmin Javid, 2015. "An Analysis of Accrual Anomaly in Case of Karachi Stock Exchange," PIDE-Working Papers 2015:116, Pakistan Institute of Development Economics.
    15. Gabriel Hawawini & Donald B. Keim, "undated". "The Cross Section of Common Stock Returns: A Review of the Evidence and Some New Findings," Rodney L. White Center for Financial Research Working Papers 08-99, Wharton School Rodney L. White Center for Financial Research.
    16. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.
    17. Sebastien Valeyre & Sofiane Aboura & Denis Grebenkov, 2019. "The Reactive Beta Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(1), pages 71-113, March.
    18. Vivek Sharma, 2011. "Stock returns and product market competition: beyond industry concentration," Review of Quantitative Finance and Accounting, Springer, vol. 37(3), pages 283-299, October.
    19. Cyril Bachelard & Apostolos Chalkis & Vissarion Fisikopoulos & Elias Tsigaridas, 2022. "Randomized geometric tools for anomaly detection in stock markets," Papers 2205.03852, arXiv.org, revised May 2022.
    20. Sebastien Valeyre, 2020. "Refined model of the covariance/correlation matrix between securities," Papers 2001.08911, arXiv.org.

    More about this item

    Keywords

    stock return; cost; asset pricing; cross-section returns;
    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
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:eee:finlet:v:41:y:2021:i:c:s1544612320316743. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.