IDEAS home Printed from https://ideas.repec.org/p/usg/sfwpfi/201621.html
   My bibliography  Save this paper

Asset Pricing and Extreme Event Risk: Common Factors in ILS Fund Returns

Author

Listed:
  • Ben Ammar, Semir

    ()

  • Braun, Alexander

    ()

  • Eling, Martin

    ()

Abstract

The returns of investment funds specializing in insurance-linked securities (ILS) exhibit a unique behavior. We introduce a new peril-based factor model, which explains the time-series and cross-sectional return variation. Despite a strong overall fit, we are left with significantly positive alphas for about one quarter of the funds, some of which can be attributed to beta exposures associated with non-cat-bond ILS. In addition, they are related to fund size, fund age, and performance fees. Although we do not find evidence for market timing abilities, we can rule out pure luck as the source of outperformance by controlling for false discoveries.

Suggested Citation

  • Ben Ammar, Semir & Braun, Alexander & Eling, Martin, 2016. "Asset Pricing and Extreme Event Risk: Common Factors in ILS Fund Returns," Working Papers on Finance 1621, University of St. Gallen, School of Finance.
  • Handle: RePEc:usg:sfwpfi:2016:21
    as

    Download full text from publisher

    File URL: http://ux-tauri.unisg.ch/RePEc/usg/sfwpfi/WPF-1621.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004. "An econometric model of serial correlation and illiquidity in hedge fund returns," Journal of Financial Economics, Elsevier, vol. 74(3), pages 529-609, December.
    2. Fama, Eugene F & French, Kenneth R, 1992. " The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    3. Blake, Christopher R & Elton, Edwin J & Gruber, Martin J, 1993. "The Performance of Bond Mutual Funds," The Journal of Business, University of Chicago Press, vol. 66(3), pages 370-403, July.
    4. Fang, Jieyan & Kempf, Alexander & Trapp, Monika, 2014. "Fund Manager Allocation," Journal of Financial Economics, Elsevier, vol. 111(3), pages 661-674.
    5. Braun, Alexander, 2011. "Pricing catastrophe swaps: A contingent claims approach," Insurance: Mathematics and Economics, Elsevier, vol. 49(3), pages 520-536.
    6. Laurent Barras & Olivier Scaillet & Russ Wermers, 2010. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Journal of Finance, American Finance Association, vol. 65(1), pages 179-216, February.
    7. Capocci, Daniel & Hubner, Georges, 2004. "Analysis of hedge fund performance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 55-89, January.
    8. Dahlquist, Magnus & Engström, Stefan & Söderlind, Paul, 2000. "Performance and Characteristics of Swedish Mutual Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(03), pages 409-423, September.
    9. Sadka, Ronnie, 2010. "Liquidity risk and the cross-section of hedge-fund returns," Journal of Financial Economics, Elsevier, vol. 98(1), pages 54-71, October.
    10. Bjoern Hagendorff & Jens Hagendorff & Kevin Keasey, 2013. "The Shareholder Wealth Effects of Insurance Securitization: Preliminary Evidence from the Catastrophe Bond Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(3), pages 281-301, December.
    11. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    12. Marcello Galeotti & Marc Gürtler & Christine Winkelvos, 2013. "Accuracy of Premium Calculation Models for CAT Bonds—An Empirical Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 401-421, June.
    13. Vikas Agarwal & Naveen D. Daniel & Narayan Y. Naik, 2011. "Do Hedge Funds Manage Their Reported Returns?," Review of Financial Studies, Society for Financial Studies, vol. 24(10), pages 3281-3320.
    14. Marcin Kacperczyk & Stijn Van Nieuwerburgh & Laura Veldkamp, 2014. "Time-Varying Fund Manager Skill," Journal of Finance, American Finance Association, vol. 69(4), pages 1455-1484, August.
    15. Hagendorff, Bjoern & Hagendorff, Jens & Keasey, Kevin & Gonzalez, Angelica, 2014. "The risk implications of insurance securitization: The case of catastrophe bonds," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 387-402.
    16. Fung, William & Hsieh, David A., 2000. "Performance Characteristics of Hedge Funds and Commodity Funds: Natural vs. Spurious Biases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 291-307, September.
    17. Franklin R. Edwards & Mustafa Onur Caglayan, 2001. "Hedge Fund Performance and Manager Skill," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(11), pages 1003-1028, November.
    18. Joseph Chen & Harrison Hong & Ming Huang & Jeffrey D. Kubik, 2004. "Does Fund Size Erode Mutual Fund Performance? The Role of Liquidity and Organization," American Economic Review, American Economic Association, vol. 94(5), pages 1276-1302, December.
    19. Pástor, Ľuboš & Stambaugh, Robert F. & Taylor, Lucian A., 2015. "Scale and skill in active management," Journal of Financial Economics, Elsevier, vol. 116(1), pages 23-45.
    20. Chen, Yong & Ferson, Wayne & Peters, Helen, 2010. "Measuring the timing ability and performance of bond mutual funds," Journal of Financial Economics, Elsevier, vol. 98(1), pages 72-89, October.
    21. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    22. 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.
    23. Ammann, Manuel & Kind, Axel & Seiz, Ralf, 2010. "What drives the performance of convertible-bond funds?," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2600-2613, November.
    24. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    25. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
    26. Douglas Cumming & Grant Fleming & Armin Schwienbacher, 2009. "Style Drift in Private Equity," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(5-6), pages 645-678.
    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. repec:eee:finlet:v:28:y:2019:i:c:p:431-437 is not listed on IDEAS

    More about this item

    Keywords

    Insurance-Linked Securities; Investment Funds; Factor Model; Catastrophe Bonds;

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:usg:sfwpfi:2016:21. 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: (Geraldine Frei). General contact details of provider: http://edirc.repec.org/data/cfisgch.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.