An Agent Based Model for a Double Auction with Convex Incentives

Fabretti, Annalisa and Herzel, Stefano (2017) An Agent Based Model for a Double Auction with Convex Incentives. Journal of Artificial Societies and Social Simulation, 20 (1). ISSN 1460-7425

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Abstract

We studied the influence of convex incentives, e.g. option-like compensations, on the behavior of financial markets. Such incentives, usually offered to portfolio managers, have been often considered a potential source of market instability. We built an agent-based model of a double-auction market where some of the agents are endowed with convex contracts. We show that these contracts encourage traders to buy more aggressively, increasing total demand and market prices. Our analysis suggests that financial markets with many managers with convex contracts are more likely to be more unstable and less efficient.

Item Type: Article
Subjects: Open Digi Academic > Computer Science
Depositing User: Unnamed user with email support@opendigiacademic.com
Date Deposited: 04 Jun 2024 11:49
Last Modified: 04 Jun 2024 11:49
URI: http://publications.journalstm.com/id/eprint/1406

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