Abstract
The analysis of financial markets usually assumes that trades are centralized and open to all investors. Investors are typically price takers. A relatively recent interest has been devoted to local markets open to a limited number of traders. Such markets may be fruitfully analyzed by means of graphs where traders are the nodes and trades are the arcs. In this model one bilateral trade occurs each round. Agents are risk averse and act myopically seeking to maximize their expected utility. Conditions for the agents to trade and to find an equilibrium price are determined theoretically. An ad-hoc algorithm is applied to find a numerical solution and to simulate the path toward the equilibrium price depending on different initial settings.
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References
Bell, A.M. (1997). Bilateral Trading on a Network: Convergence and Optimality Results.Working Paper, 97-W08, Department of Economics and Business Administration, Vanderbilt University, Box 6150-B, Nashville, TN 37235.
Bell, A.M. (1998). Bilateral Trading on a Network: A Simulation Study, mimeo, Department of Economics and Business Administration, Vanderbilt University, Box 6150-B, Nashville, TN 37235.
Edgeworth, F.Y. (1881). Mathematical Psychics, Kegan Paul, London.
Falbo, P. and Grassi, R. (1999). Pareto Optimal Financial Trades with Risky and not Risky Assets, Quaderni di ricerca del Dipartimento di Metodi Quantitativi, Università di Brescia, xv. 157.
Feldman, A.M. (1973). Bilateral trading processes, pairwise optimality and Pareto optimality. Review of Economic Studies 40, 463–473.
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Falbo, P., Grassi, R. Equilibrium Prices on a Financial Graph. Computational Economics 24, 117–157 (2004). https://doi.org/10.1023/B:CSEM.0000049451.49953.28
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DOI: https://doi.org/10.1023/B:CSEM.0000049451.49953.28