IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v70y2015i5p2185-2226.html
   My bibliography  Save this article

The Cost of Capital for Alternative Investments

Author

Listed:
  • JAKUB W. JUREK
  • ERIK STAFFORD

Abstract

type="main"> Traditional risk factor models indicate that hedge funds capture pre-fee alphas of 6% to 10% per annum over the period from 1996 to 2012. At the same time, the hedge fund return series is not reliably distinguishable from the returns of mechanical S&P 500 put-writing strategies. We show that the high excess returns to hedge funds and put-writing are consistent with an equilibrium in which a small subset of investors specialize in bearing downside market risks. Required rates of return in such an equilibrium can dramatically exceed those suggested by traditional models, affecting inference about the attractiveness of these investments.

Suggested Citation

  • Jakub W. Jurek & Erik Stafford, 2015. "The Cost of Capital for Alternative Investments," Journal of Finance, American Finance Association, vol. 70(5), pages 2185-2226, October.
    • Handle: RePEc:bla:jfinan:v:70:y:2015:i:5:p:2185-2226
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/jofi.12269
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Thonifho Pollen Muridili & Ruschelle Sgammini & Sune Ferreira-Schenk & John George Jansen van Rensburg & Daniel Mokatsanyane, 2022. "The Impact of Covid-19 on the Performance of Hedge Funds Compared to Mutual Funds in South Africa," International Journal of Economics and Financial Issues, Econjournals, vol. 12(6), pages 133-144, November.
    2. Vikas Agarwal & Stefan Ruenzi & Florian Weigert, 2018. "Unobserved Performance of Hedge Funds," Working Papers on Finance 1825, University of St. Gallen, School of Finance.
    3. Almeida, Caio & Ardison, Kym & Garcia, René, 2020. "Nonparametric assessment of hedge fund performance," Journal of Econometrics, Elsevier, vol. 214(2), pages 349-378.
    4. Braun, Alexander & Braun, Julia & Weigert, Florian, 2023. "Extreme weather risk and the cost of equity," CFR Working Papers 23-08, University of Cologne, Centre for Financial Research (CFR).
    5. Braun, Alexander & Ben Ammar, Semir & Eling, Martin, 2019. "Asset pricing and extreme event risk: Common factors in ILS fund returns," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 59-78.
    6. Jun Duanmu & Yongjia Li & Alexey Malakhov, 2020. "Capturing hedge fund risk factor exposures: Hedge fund return replication with ETFs," The Financial Review, Eastern Finance Association, vol. 55(3), pages 405-431, August.
    7. Bali, Turan G. & Brown, Stephen J. & Caglayan, Mustafa O., 2019. "Upside potential of hedge funds as a predictor of future performance," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 212-229.
    8. Bond, Philip & Dow, James, 2021. "Failing to forecast rare events," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1001-1016.
    9. Cho, Thummim, 2020. "Turning alphas into betas: arbitrage and endogenous risk," LSE Research Online Documents on Economics 102085, London School of Economics and Political Science, LSE Library.
    10. Sarit Maitra, 2023. "Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation," Papers 2310.01123, arXiv.org, revised Oct 2023.
    11. Gorovyy, Sergiy & Kelly, Patrick J. & Kuzmina, Olga, 2021. "Does secrecy signal skill? Own-investor secrecy and hedge fund performance," Journal of Banking & Finance, Elsevier, vol. 133(C).
    12. Sarit Maitra & Vivek Mishra & Sukanya Kundu & Manav Chopra, 2023. "Econometric Model Using Arbitrage Pricing Theory and Quantile Regression to Estimate the Risk Factors Driving Crude Oil Returns," Papers 2309.13096, arXiv.org, revised Oct 2023.
    13. Wenbo Wu & Jiaqi Chen & Zhibin (Ben) Yang & Michael L. Tindall, 2021. "A Cross-Sectional Machine Learning Approach for Hedge Fund Return Prediction and Selection," Management Science, INFORMS, vol. 67(7), pages 4577-4601, July.
    14. Carolin Pflueger & Emil Siriwardane & Adi Sunderam, 2019. "Financial Market Risk Perceptions and the Macroeconomy," NBER Working Papers 26290, National Bureau of Economic Research, Inc.
    15. Peter Van Tassel & Erik Vogt, 2016. "Global variance term premia and intermediary risk appetite," Staff Reports 789, Federal Reserve Bank of New York.
    16. Zhao, Li & Huang, Wenli & Yang, Chen & Li, Shenghong, 2018. "Hedge fund leverage with stochastic market conditions," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 258-273.
    17. Stephen A. Gorman & Frank J. Fabozzi, 2021. "The ABC’s of the alternative risk premium: academic roots," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 405-436, October.
    18. Nicolas P. B. Bollen & Berk A. Sensoy, 2022. "How much for a haircut? Illiquidity, secondary markets, and the value of private equity," Financial Management, Financial Management Association International, vol. 51(2), pages 501-538, June.
    19. Cho, Thummim, 2020. "Turning alphas into betas: Arbitrage and endogenous risk," Journal of Financial Economics, Elsevier, vol. 137(2), pages 550-570.
    20. Teti, Emanuele & Tului, Stefano, 2020. "Do mergers and acquisitions create shareholder value in the infrastructure and utility sectors? Analysis of market perceptions," Utilities Policy, Elsevier, vol. 64(C).
    21. Peter Van Tassel, 2016. "Merger options and risk arbitrage," Staff Reports 761, Federal Reserve Bank of New York.
    22. Paul Karehnke & Frans de Roon, 2020. "Spanning Tests for Assets with Option-Like Payoffs: The Case of Hedge Funds," Management Science, INFORMS, vol. 66(12), pages 5969-5989, December.
    23. Lu, Zhongjin & Murray, Scott, 2019. "Bear beta," Journal of Financial Economics, Elsevier, vol. 131(3), pages 736-760.

    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:bla:jfinan:v:70:y:2015:i:5:p:2185-2226. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/afaaaea.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.