Challenging the robustness of optimal portfolio investment with moving average-based strategies

Ahmed Bel Hadj Ayed, Grégoire Loeper, Frédéric Abergel

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The aim of this paper is to compare the performance of a theoretically optimal portfolio with that of a moving average-based strategy in the presence of parameter misspecification. The setting we consider is that of a stochastic asset price model where the trend follows an unobservable Ornstein–Uhlenbeck process. For both strategies, we provide the asymptotic expectation of the logarithmic return as a function of the model parameters. Then, numerical examples are given, showing that an investment strategy using a moving average crossover rule is more robust than the optimal strategy under parameter misspecification.

Original languageEnglish
Pages (from-to)123–135
Number of pages13
JournalQuantitative Finance
Volume19
Issue number1
DOIs
Publication statusPublished - 2019

Keywords

  • Systematic Strategies
  • Trend Following
  • Quantitative Finance

Cite this

Bel Hadj Ayed, Ahmed ; Loeper, Grégoire ; Abergel, Frédéric. / Challenging the robustness of optimal portfolio investment with moving average-based strategies. In: Quantitative Finance. 2019 ; Vol. 19, No. 1. pp. 123–135.
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Challenging the robustness of optimal portfolio investment with moving average-based strategies. / Bel Hadj Ayed, Ahmed; Loeper, Grégoire; Abergel, Frédéric.

In: Quantitative Finance, Vol. 19, No. 1, 2019, p. 123–135.

Research output: Contribution to journalArticleResearchpeer-review

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