Abstract
This paper constructs and examines a game-theoretic model of a two-stage market with arbitrageurs. Arbitrageurs are risk-neutral and operate in the conditions of perfect competition. A random factor affects the outcome on the spot market, making the spot price a random value. We determine the optimal strategies for consumers, producers, and arbitrageurs. In addition, we analyze how the market power of producers depends on the parameters of the model. The results demonstrate that introduction of the forward market substantially reduces the market power of producers.
Similar content being viewed by others
References
Vasin, A.A., Nekooperativnye igry v prirode i obshchestve (Noncooperative Games in Nature and Society), Moscow: MAKS Press, 2005.
Makarov, V.L. and Rubinov, A.M., Matematicheskaya teoriya ekonomicheskoi dinamiki i ravnovesiya (Mathematical Theory of Economic Dynamics and Equilibria), Moscow: Nauka, 1973.
Allaz, B. and Vila, J.-L., Cournot Competition, Forward Markets and Efficiency, J. Econom. Theory, 1992, vol. 59, no. 1, pp. 1–16.
Botterud, A., Bhattacharyya, A.K., and Ilic, M., Futures and SPOT PRICes-An Analysis of the Scandinavian Electricity Market, in Proc North American Power Symp., 2002.
Bushnell, J., Oligopoly Equilibria in Electricity Contract Markets, Univ. of California Energy Institute, CSEM Working Paper, 2005, WP–148.
Ingersoll, J. E., Theory of Financial Decision Making, Totowa: Rowman & Littlefield, 1987.
Vasin, A.A., Kartunova, P.A., Sharikova, A.A., and Dolmatova, M., Comparative Analysis of One-stage and Two-stage Markets, Contributed paper for the Conf. on Economic Design, Maastricht, 2009.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © A.A. Vasin, E.A. Daylova, 2012, published in Matematicheskaya Teoriya Igr i Prilozheniya, 2012, No. 4, pp. 3–22.
Rights and permissions
About this article
Cite this article
Vasin, A.A., Daylova, E.A. Game-theoretic model of agents’ interaction on a two-stage market with a random factor. Autom Remote Control 75, 1677–1688 (2014). https://doi.org/10.1134/S0005117914090136
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0005117914090136