Arbeitspapier

Volatility of aggregate volatility and hedge funds returns

This paper investigates empirically whether uncertainty about volatility of the market portfolio can explain the performance of hedge funds both in the cross-section and over time. We measure uncertainty about volatility of the market portfolio via volatility of aggregate volatility (VOV) and construct an investable version of this measure by computing monthly returns on lookback straddles on the VIX index. We find that VOV exposure is a significant determinant of hedge fund returns at the overall index level, at different strategy levels, and at an individual fund level. After controlling for a large set of fund characteristics, we document a robust and significant negative risk premium for VOV exposure in the cross-section of hedge fund returns. We further show that strategies with less negative VOV betas outperform their counterparts during the financial crisis period when uncertainty was at its highest. On the contrary, strategies with more negative VOV betas generate superior returns when uncertainty in the market is less. Finally, we demonstrate that VOV exposure-return relationship of hedge funds is distinct from that of mutual funds and is consistent with the dynamic trading of hedge funds and risk-taking incentives arising from performance-based compensation of hedge funds.

Sprache
Englisch

Erschienen in
Series: CFR Working Paper ; No. 15-03 [rev.]

Klassifikation
Wirtschaft
General Financial Markets: General (includes Measurement and Data)
Portfolio Choice; Investment Decisions
Estimation: General
Thema
uncertainty
volatility of volatility
hedge funds
performance

Ereignis
Geistige Schöpfung
(wer)
Agarwal, Vikas
Arisoy, Y. Eser
Naik, Narayan Y.
Ereignis
Veröffentlichung
(wer)
University of Cologne, Centre for Financial Research (CFR)
(wo)
Cologne
(wann)
2015

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Agarwal, Vikas
  • Arisoy, Y. Eser
  • Naik, Narayan Y.
  • University of Cologne, Centre for Financial Research (CFR)

Entstanden

  • 2015

Ähnliche Objekte (12)