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Hedge Fund Return Dynamics: Long Memory and Regime Switching

Author

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  • M. A. Limam
  • V. Terraza
  • M. Terraza

Abstract

This paper investigates the dynamics of hedge fund returns and their behavior of persistence in a unified framework through the Markov Switching ARFIMA model of H?rdle and Tsay (2009). Major results based on the CSFB/Tremont hedge fund indexes monthly data during the period 1994-2012, highlight the importance of the long memory parameter magnitude i.e shocks in shaping hedge fund return dynamics and show that the hedge fund dynamics are characterized by two levels of persistence: in the first one, associated to low-volatility regime, hedge fund returns are a stationary long memory process whereas in the second one, associated to high-volatility regime, returns exhibit higher parameter of fractional integration. More precisely, in high volatility regime i.e periods of turmoil, the process tends to be non-stationary but still exhibits a mean-reverting behavior. The findings are interesting and enable us to establish a relationship between hedge fund return states and memory phenomenon.

Suggested Citation

  • M. A. Limam & V. Terraza & M. Terraza, 2017. "Hedge Fund Return Dynamics: Long Memory and Regime Switching," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 8(4), pages 148-166, October.
    • Handle: RePEc:jfr:ijfr11:v:8:y:2017:i:4:p:148-166
    DOI: 10.5430/ijfr.v8n4p148
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    References listed on IDEAS

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    Cited by:

    1. Costas Siriopoulos & Dionisis Philippas, 2024. "Putting corona into hedge fund managers' head," Economics Bulletin, AccessEcon, vol. 44(1), pages 341-357.

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