
SERGIY GERASYMCHUK |
updated: 10 March 2008 |
Working papers |
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January 2008 |
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Abstract. We study S-shaped utility maximization for the standard portfolio selection problem with one risky and one risk-free asset. We derive a mean-variance
criterium of choice, which preserves reference dependence and the reflection effect.
Subsequently we study diversification possibilities and obtain the demand for the
risky asset. We close the paper with an alternative interpretation of the criterium in
terms of target-based decision making. |
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January 2008 |
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Abstract. We study a model of a financial market populated with heterogenous agents
whose preferences exhibit dependence on some reference level of wealth. Investment decisions
of the agents are myopic and are based upon the demand for the risky asset derived
from an S-shaped utility maximization. The specific demand form allows to model both
heterogeneity of the system relative to the reference points of the agents and heterogeneity
with respect to their beliefs about the future asset return. We analyze the impact of the
former layer of heterogeneity on the asset return and wealth dynamics. |
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March 2007 |
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Abstract. We propose a simple model of a financial market populated with
heterogeneous agents. The market represents a network with nodes symbolizing the agents and edges
standing for connections between them, thus, embodying local interactions in the market. By local
interactions we mean any kind of interplay between the decisions of the agents unaffected by the
market mechanism and unrelated to the physical distance between the agents. Using the rewiring
procedure we restructure a network from regular lattice to random graph by varying the probability
of the agents to switch from one trading strategy to another. We study how the network structure
affects the asset price dynamics. The results show that for some intermediate values of the
probability to switch, corresponding to a small world network, the price dynamics become
reminiscent of the real data. While for the boundary values of the probability the dynamics lacks
some typical features of the real financial markets. (with Valentyn Panchenko and Oleg V. Pavlov) |
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Research interests |

Hi there! I finished my Ph.D. and moved to Amsterdam. You can reach me by mobile +31615166789 or via e-mail: sergiy.gera@gmail.com |
10 August 2008 |
Research links |
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| Mikhail Anufriev | CeNDEF, Dept. of Quantitative Economics, University of Amsterdam |
| William Brock | Dept. of Economics, University of Wisconsin at Madison |
| Carl Chiarella | QFRC, School of Finance and Economics, University of Technology Sydney |
| Cars Hommes | CeNDEF, Dept. of Quantitative Economics, University of Amsterdam |
| Blake LeBaron | International Business School, Brandeis University |
| Moshe Levy | Jerusalem School of Business Administration, Hebrew University |
| Marco LiCalzi | Dept. of Applied Mathematics, University of Venice |
| Valentyn Panchenko | School of Economics, University of New South Wales |
| Oleg V. Pavlov | Dept. of Social Science and Policy Studies, Worcester Polytechnic Institute |
| Paolo Pellizzari | Dept. of Applied Mathematics, University of Venice |
| Leigh Tesfatsion | Dept. of Economics, Iowa State University
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Hobbies and interests |
These include electronic music, unusual films, football, bridge, travelling. For several years I was a charitable Leo Club active member. I prefer healthy (slow) food and sporty life-style. I love cats and adore autumn.
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Ph.D. dissertation |
Abstract. The Ph.D. thesis is devoted to the study of two economic phenomena,
namely
reference dependence and social interactions, applied to financial markets. In
Chapter 1 we study S-shaped utility maximization for the standard portfolio selection
problem. We derive a mean-variance criterium of choice, which
preserves
reference dependence and the reflection effect. Subsequently we study diversification
possibilities and obtain the demand for the risky asset. The model of
a financial market presented in Chapter 2 assumes heterogeneity of agents
with
respect to both their reference points and their beliefs. We analyze the impact
of the former layer of heterogeneity on the asset return and wealth dynamics.
The results reveal that different reference points of the agents can lead to
market
instabilities and persistent trading volume even if their beliefs are kept homogeneous.
In Chapter 3 we propose a model of a financial market populated with
heterogeneous belief agents. Every period each agent chooses a predictor of the
future price on the basis of the past performance of own and alternative strategies
of the directly connected
to her agents. Using the rewiring procedure we
construct four types of commonly considered networks and investigate the effects
of their topology on the asset price dynamics. We show that network structure
does influence price dynamics due to the different speed of information exchange. |
Copyright © 2006-2008 Sergiy Gerasymchuk
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Ph.D. candidate in
Economics and Organization |
Phone: |
+39 041 2765210 |