On the optimal strategy for the hedge fund manager:An experimental investigation

Permana, Yudistira (2020) On the optimal strategy for the hedge fund manager:An experimental investigation. COGENT BUSINESS & MANAGEMENT, 7 (1). ISSN 2331-1975

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Abstract

This paper examines the empirical validity of Nicolosi’s optimal strategy for a hedge fund manager under a specific payment contract. The contract specifies that the manager’s payment consists of a fixed payment and a variable payment,
which is a performance-based payment. The model assumes that the manager is an Expected Utility agent who maximises his/her expected utility by buying and selling the asset at appropriate moments. Nicolosi derives the optimal strategy for the manager by assuming a Black-Scholes setting where the manager can invest either in an asset or in a money account. The asset price follows geometric Brownian
motion and the money account has a constant interest rate. I experimentally test Nicolosi’s optimal strategy to investigate whether the agents invest according to the
optimal strategy. To meet the aim of this paper, I compare the empirical support of the optimal strategy with other possible strategies. The results show that Nicolosi’s
optimal strategy receives strong empirical support for explaining the subjects’ behaviour, though not all of the subjects follow the optimal strategy. Having said this, it seems that the subjects somehow follow the intuitive prediction of Nicolosi’s optimal strategy in which the decision-maker responds to the difference between
the managed portfolio and the benchmark to determine the portfolio allocation.

Item Type: Article
Uncontrolled Keywords: fund manager; portfolio strategy; laboratory experiment
Subjects: H Social Sciences > HB Economic Theory
Divisions: Faculty of Economics & Business > Master of Science in Accounting, Master of Science in Economics, Master of Science in Management
Depositing User: Sri JUNANDI
Date Deposited: 28 Aug 2025 03:38
Last Modified: 28 Aug 2025 03:39
URI: https://ir.lib.ugm.ac.id/id/eprint/17791

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