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Asset price dynamics with heterogeneous beliefs and local network interactions
Authors:Valentyn Panchenko  Sergiy Gerasymchuk  Oleg V. Pavlov
Affiliation:1. School of Economics, Australian School of Business, University of New South Wales, Sydney NSW 2052, Australia;2. ING Group, Bijlmerdreef 98, 1102 CT Amsterdam, The Netherlands;3. Department of Social Science and Policy Studies, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609-2280, USA;1. Hamburg University, Department of Economics, Von-Melle-Park 5, 20146 Hamburg, Germany;2. CREATES, Denmark;3. University of Göttingen, Department of Economics, Platz der Göttinger Sieben 3, 37073 Göttingen, Germany;1. Department of Chemistry, Faculty of Sciences, University of Balamand, P.O. Box 100, Deir El Balamand, Kelhat, Tripoli, Lebanon;2. University Lille Nord de France, 59000 Lille, France;3. ULCO, LCE, 59000 Dunkerque, France;4. Laboratory of Physical Chemistry of Materials, Faculty of sciences II, Lebanese University, PO Box 90656, Fanar, Lebanon;1. Computer Learning Research Centre, Department of Computer Science, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, United Kingdom;2. Centrum Wiskunde & Informatica (CWI), P.O. Box 94079, NL-1090 GB Amsterdam, The Netherlands
Abstract:In this paper we investigate the effects of network topologies on asset price dynamics. We introduce network communications into a simple asset pricing model with heterogeneous beliefs. The agents may switch between several belief types according to their performance. The performance information is available to the agents only locally through their own experience and the experience of other agents directly connected to them. We model the communications with four commonly considered network topologies: a fully connected network, a regular lattice, a small world, and a random graph. The results show that the network topologies influence asset price dynamics in terms of the regions of stability, amplitudes of fluctuations and statistical properties.
Keywords:Asset pricing  Local interactions  Networks  Random graph  Small world  Heterogeneous beliefs  Price dynamics
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