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Risk classification of Asian real estate funds and their performance

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  • Mansley, Nick
  • Tse, Tiffany Ching Man
  • Wang, Zilong

Abstract

Real estate funds are usually classified into three investment types reflecting different target returns and investment strategies, capital structures and consequently different levels of risk: Core, Value-added, and Opportunistic. This paper investigates the relationship between risk classification and the realized return of private Asian real estate funds. Our results show that different risk classes have not performed differently on average and there is no evidence of significant differences in systematic risk across these three types of funds. Riskier class funds hold more idiosyncratic risk and the returns are more volatile. The results are consistent with conventional finance theory, in that idiosyncratic risk is not rewarded with a premium. This paper introduces the concept of expected fund return reflecting capital structure and market exposure but this fails to reliably predict the realized fund return.

Suggested Citation

  • Mansley, Nick & Tse, Tiffany Ching Man & Wang, Zilong, 2020. "Risk classification of Asian real estate funds and their performance," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:pacfin:v:63:y:2020:i:c:s0927538x20301190
    DOI: 10.1016/j.pacfin.2020.101400
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    Cited by:

    1. Fuerst, Franz & Mansley, Nick & Wang, Zilong, 2021. "Do specialist funds outperform? Evidence from European non-listed real estate funds," Research in International Business and Finance, Elsevier, vol. 58(C).
    2. Cashman, George D. & Harrison, David M. & Sheng, Hainan, 2022. "Short sales, short risk, and return predictability in Asia-Pacific real estate markets," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    3. Martin Hoesli & Graeme Newell & Muhammad Jufri Bin Marzuki & Rose Neng Lai, 2022. "The Performance and Diversification Potential of Non-Listed Value-Add Real Estate Funds in Japan," JRFM, MDPI, vol. 15(5), pages 1-16, April.

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