IDEAS home Printed from https://ideas.repec.org/r/eee/jfinec/v112y2014i1p1-29.html
   My bibliography  Save this item

Mutual fund performance evaluation with active peer benchmarks

Citations

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


Cited by:

  1. H. Pierre Hsieh & Imen Tebourbi & Wen‐Min Lu & Nai‐Yu Liu, 2020. "Mutual fund performance: The decision quality and capital magnet efficiencies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 861-872, July.
  2. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can Machine Learning Help to Select Portfolios of Mutual Funds?," Working Papers 1245, Barcelona School of Economics.
  3. Cai, Biqing & Cheng, Tingting & Yan, Cheng, 2018. "Time-varying skills (versus luck) in U.S. active mutual funds and hedge funds," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 81-106.
  4. Angelidis, Timotheos & Babalos, Vassilios & Fessas, Michalis, 2021. "The economic gain of being small in the mutual fund industry: U.S. and international evidence," International Review of Financial Analysis, Elsevier, vol. 77(C).
  5. Bernard, Carole & Vanduffel, Steven & Ye, Jiang, 2019. "A new efficiency test for ranking investments: Application to hedge fund performance," Economics Letters, Elsevier, vol. 181(C), pages 203-207.
  6. Im, Hyun Joong, 2019. "Asymmetric peer effects in capital structure dynamics," Economics Letters, Elsevier, vol. 176(C), pages 17-22.
  7. Cesario Mateus & Irina B. Mateus & Marco Soggiu, 2020. "Do smart beta ETFs deliver persistent performance?," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 413-427, September.
  8. Cesario Mateus & Irina B. Mateus & Marco Soggiu, 0. "Do smart beta ETFs deliver persistent performance?," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-15.
  9. Asif Shamim & Atif Mumtaz & Bilawal Ali, 2020. "An empirical study to explore the risk adjusted performance of mutual funds: A case of Pakistan," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 1-26, March.
  10. Zhida Yin & Jilin Jiang & Zongxin Qian, 2023. "How does the volatility‐timing strategy perform in mutual funds portfolios," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 87-102, March.
  11. Li, Zhiyong & Rao, Xiao, 2023. "Exploring the zoo of predictors for mutual fund performance in China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
  12. Timothy B. Riley, 2021. "Portfolios of actively managed mutual funds," The Financial Review, Eastern Finance Association, vol. 56(2), pages 205-230, May.
  13. George J. Jiang & Tong Yao & Gulnara R. Zaynutdinova, 2023. "The effect of investor service costs on mutual fund performance," The Financial Review, Eastern Finance Association, vol. 58(1), pages 91-115, February.
  14. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2019. "Review of new trends in the literature on factor models and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 344-354.
  15. Lahr, Henry & Trombley, Timothy E., 2020. "Early indicators of fundraising success by venture capital firms," Journal of Corporate Finance, Elsevier, vol. 65(C).
  16. Ardia, David & Boudt, Kris, 2018. "The peer performance ratios of hedge funds," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 351-368.
  17. Zhongzhi Lawrence He, 2018. "Generalized Information Ratio," Papers 1803.01381, arXiv.org, revised Apr 2018.
  18. Yan, Cheng & Cheng, Tingting, 2019. "In search of the optimal number of fund subgroups," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 78-92.
  19. Artiga González, Tanja & van Lelyveld, Iman & Lučivjanská, Katarína, 2020. "Pension fund equity performance: Patience, activity or both?," Journal of Banking & Finance, Elsevier, vol. 115(C).
  20. Cheng, Tingting & Yan, Cheng & Yan, Yayi, 2021. "Improved inference for fund alphas using high-dimensional cross-sectional tests," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 57-81.
  21. Mason, Andrew & Agyei-Ampomah, Sam & Skinner, Frank, 2016. "Realism, skill, and incentives: Current and future trends in investment management and investment performance," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 31-40.
  22. Babalos, Vassilios & Mamatzakis, Emmanuel C. & Matousek, Roman, 2015. "The performance of US equity mutual funds," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 217-229.
  23. Tanja Artiga Gonzalez & Iman van Lelyveld & Katarina Lucivjanska, 2018. "Pension fund equity performance: Patience, activity or both?," DNB Working Papers 606, Netherlands Central Bank, Research Department.
  24. Swasti Gupta‐Mukherjee & Ankur Pareek, 2020. "Limited attention and portfolio choice: The impact of attention allocation on mutual fund performance," Financial Management, Financial Management Association International, vol. 49(4), pages 1083-1125, December.
  25. Kenneth Hogholm & Johan Knif & Gregory Koutmos & Seppo Pynnonen, 2017. "Asymmetric Fund Performance Characteristics A Comparison of European and US Large-Cap Funds," Multinational Finance Journal, Multinational Finance Journal, vol. 21(1), pages 1-20, March.
  26. Obrimah, Oghenovo A., 2016. "How important is innovation for venture capitalists’ (VCs’) market reputation?," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 64-76.
  27. Wolfgang Bessler & David Blake & Peter Lückoff & Ian Tonks, 2018. "Fund Flows, Manager Changes, and Performance Persistence [Does motivation matter when assessing trade performance? An analysis of mutual funds]," Review of Finance, European Finance Association, vol. 22(5), pages 1911-1947.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.