Using Game Theory in Investing

G. Beregova, A. Schupletsov, A. O. Klipin
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Abstract

In this paper, we analyzed the developed methodology for the optimal distribution of public and private investment research in order to obtain the maximum economic effect in a particular block of the industrial cluster. By industrial cluster blocks, we define: block 1 “R & D”, block 2 “Procurement and Financial Support”, block 3 “Production and Technological Activities”, block 4 “Staffing Support”, block 5 “Realization of Production equipment". In this article, we offered methodology for the distribution of investment in blocks of an industrial cluster using game theory. In order to determine the investment strategy, we built a payment matrix. In order to confirm the hypothesis to determine the best solutions, we used the classical and derived conformity criteria: Bayesa, Laplace, Sauvage, Gurviz, Hodge-Lehmann. As a result, we obtain the most optimal investment strategy, which shows the effective distribution of public and private investments in the industrial cluster blocks.
在投资中运用博弈论
在本文中,我们分析了公共和私人投资研究的最优分配方法,以在产业集群的特定区块中获得最大的经济效益。通过产业集群区块,我们定义为:区块1“研发”,区块2“采购和金融支持”,区块3“生产和技术活动”,区块4“人员支持”,区块5“生产设备实现”。本文运用博弈论的方法,提出了产业集群投资块分配的方法。为了确定投资策略,我们建立了一个支付矩阵。为了确认假设以确定最佳解决方案,我们使用了经典的和派生的一致性标准:Bayesa, Laplace, Sauvage, Gurviz, Hodge-Lehmann。得到了最优投资策略,显示了公共投资和民间投资在产业集群区块中的有效分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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