Arbeitspapier

A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies

This paper features a tri-criteria analysis of Eurekahedge fund data strategy index data. We use nine Eurekahedge equally weighted main strategy indices for the portfolio analysis. The tri-criteria analysis features three objectives: return, risk and dispersion of risk objectives in a Multi-Criteria Optimisation (MCO) portfolio analysis. We vary the MCO return and risk targets and contrast the results with four more standard portfolio optimisation criteria, namely the tangency portfolio(MSR), the most diversified portfolio (MDP), the global minimum variance portfolio (GMW), and portfolios based on minimising expected shortfall (ERC). Backtests of the chosen portfolios for this hedge fund data set indicate that the use of MCO is accompanied by uncertainty about the a priori choice of optimal parameter settings for the decision criteria. The empirical results do not appear to outperform more standard bi-criteria portfolio analyses in the backtests undertaken on our hedge fund index data.

Sprache
Englisch

Erschienen in
Series: Tinbergen Institute Discussion Paper ; No. 17-013/III

Klassifikation
Wirtschaft
International Financial Markets
Financial Forecasting and Simulation
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Financial Econometrics
General Equilibrium and Disequilibrium: Financial Markets
Thema
MCO
Portfolio Analysis
Hedge Fund Strategies
Multi-Criteria Optimisation

Ereignis
Geistige Schöpfung
(wer)
Allen, David E.
McAleer, Michael
Singh, Abhay K.
Ereignis
Veröffentlichung
(wer)
Tinbergen Institute
(wo)
Amsterdam and Rotterdam
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:44 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

  • Allen, David E.
  • McAleer, Michael
  • Singh, Abhay K.
  • Tinbergen Institute

Entstanden

  • 2017

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