Portfolio choice based on third-degree stochastic dominance, with an application to industry momentum

Arbeitspapier

We develop and implement a portfolio optimization method for building investment portfolios that dominate a given benchmark index in terms of third-degree stochastic dominance. Our approach relies on the properties of the semi-variance function, a refinement of an existing 'super-convex' dominance condition and quadratic constrained programming. To reduce the computational burden in large-scale applications, we propose a problem reduction method based on vertex enumeration. We apply our method to historical stock market data using an industry momentum strategy. Our enhanced portfolio generates important performance improvements compared with alternatives based on mean-variance dominance and second-degree stochastic dominance. Relative to the benchmark, our portfolio increases average out-of-sample return by almost seven percentage points per annum without incurring more downside risk, using quarterly rebalancing and without short selling.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Working Paper ; No. 1527

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Optimization Techniques; Programming Models; Dynamic Analysis ; Criteria for Decision-Making under Risk and Uncertainty ; Portfolio Choice; Investment Decisions
• Thema: Portfolio choice ; Stochastic dominance ; Semi-variance ; Quadratic programming ; Enhanced indexing ; Industry momentum

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Post, Thierry ; Kopa, Miloš
• Ereignis: Veröffentlichung
• (wer): Koç University-TÜSİAD Economic Research Forum (ERF)
• (wo): Istanbul
• (wann): 2015

Weitere Informationen

• Handle: http://hdl.handle.net/10419/166722
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ