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Testing the Efficiency of Globally Listed Private Equity Markets

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  • Lars Tegtmeier

    (Department of Business Administration and Information Sciences, University of Applied Sciences Merseburg, Eberhard-Leibnitz-Str. 2, 06217 Merseburg, Germany)

Abstract

This study is the first to investigate the efficient market hypothesis in its weak form and the random walk behaviour of globally listed private equity (LPE) markets represented by nine global, regional, and style indices based on weekly data covering the period from January 2004 to December 2020. Autocorrelation tests, variance ratio tests, and a non-parametric runs test are employed. The results of the autocorrelation tests and the variance ratio tests tend to correspond for all indices, and they reject the random walk hypothesis for the returns of all LPE indices under investigation. In contrast, the runs test for direct weak-form market efficiency cannot reject the null hypothesis of a random walk process for almost all LPE indices under investigation. Furthermore, there is no evidence that the market efficiency of globally listed private equity markets has improved after the global financial crisis. Due to the fact that the rapidly growing asset class of LPE as a form of private equity is still relatively unknown, the implications of the results of our paper are relevant for investors, policy makers, and academics alike. In addition, the results provide valuable insights to better understand the emerging asset class of LPE.

Suggested Citation

  • Lars Tegtmeier, 2021. "Testing the Efficiency of Globally Listed Private Equity Markets," JRFM, MDPI, vol. 14(7), pages 1-16, July.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:7:p:313-:d:590620
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    as
    1. Chow, K. Victor & Denning, Karen C., 1993. "A simple multiple variance ratio test," Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
    2. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    3. Jörg Döpke & Lars Tegtmeier, 2018. "Global risk factors in the returns of listed private equity," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 35(2), pages 340-360, June.
    4. Jamaani, Fouad & Roca, Eduardo, 2015. "Are the regional Gulf stock markets weak-form efficient as single stock markets and as a regional stock market?," Research in International Business and Finance, Elsevier, vol. 33(C), pages 221-246.
    5. Schindler, Felix & Rottke, Nico & Füss, Roland, 2009. "Testing the predictability and efficiency of securitized real estate markets," ZEW Discussion Papers 09-054, ZEW - Leibniz Centre for European Economic Research.
    6. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
    7. Robert T. Kleiman & James E. Payne & Anandi P. Sahu, 2002. "Random Walks and Market Efficiency: Evidence from International Real Estate Markets," Journal of Real Estate Research, American Real Estate Society, vol. 24(3), pages 279-298.
    8. Chris Fawson & Terry Glover & Wenshwo Fang & Tsangyao Chang, 1996. "The weak-form efficiency of the Taiwan share market," Applied Economics Letters, Taylor & Francis Journals, vol. 3(10), pages 663-667.
    9. Bilo, Stéphanie & Christophers, Hans & Degosciu, Michèl & Zimmermann, Heinz, 2005. "Risk, returns, and biases of listed private equity portfolios," Working papers 2005/01, Faculty of Business and Economics - University of Basel.
    10. Maria Rosa Borges, 2011. "Random walk tests for the Lisbon stock market," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 631-639.
    11. David, Géraldine & Oosterlinck, Kim & Szafarz, Ariane, 2013. "Art market inefficiency," Economics Letters, Elsevier, vol. 121(1), pages 23-25.
    12. João Paulo Vieito & Wing-Keung Wong & Zhen-Zhen Zhu, 2016. "Could the global financial crisis improve the performance of the G7 stocks markets?," Applied Economics, Taylor & Francis Journals, vol. 48(12), pages 1066-1080, March.
    13. Douglas Cumming & Grant Fleming & Sofia A. Johan, 2011. "Institutional Investment in Listed Private Equity," European Financial Management, European Financial Management Association, vol. 17(3), pages 594-618, June.
    14. Summers, Lawrence H, 1986. "Does the Stock Market Rationally Reflect Fundamental Values?," Journal of Finance, American Finance Association, vol. 41(3), pages 591-601, July.
    15. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    16. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    17. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    18. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    19. Drobetz, Wolfgang & Schröder, Henning & Tegtmeier, Lars, 2020. "The role of catastrophe bonds in an international multi-asset portfolio: Diversifier, hedge, or safe haven?," Finance Research Letters, Elsevier, vol. 33(C).
    20. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    21. Zunino, Luciano & Fernández Bariviera, Aurelio & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2012. "On the efficiency of sovereign bond markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4342-4349.
    22. Kian‐Ping Lim & Robert Brooks, 2011. "The Evolution Of Stock Market Efficiency Over Time: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 69-108, February.
    23. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    24. Hayat, Raphie & Kraeussl, Roman, 2011. "Risk and return characteristics of Islamic equity funds," Emerging Markets Review, Elsevier, vol. 12(2), pages 189-203, June.
    25. Jyoti Gupta & Sardana Sankalp, 2017. "The Impact of Global Financial Crisis on Market Efficiency: An Empirical Analysis of the Indian Stock Market," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(4), pages 225-252, April.
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    Cited by:

    1. Samuel Tabot ENOW, 2023. "A Non-linear Dependency Test for Market Efficiency: Evidence from International Stock Markets," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 7(1), pages 1-12.

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