Dynamic trading strategies for storage

IF 1.9 3区 经济学 Q2 ECONOMICS
Sergei Balakin, Guillaume Roger
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引用次数: 0

Abstract

We consider a dynamic model of an oligopolistic market with demand shocks, in which a storage unit buys and sells over time subject to a capacity constraint. To make progress in this stochastic game with constraints, we restrict attention to simple heuristics, and we can characterize the optimal policy of a storage unit in this restricted class of strategies. The heuristics, the exogenous stochastic process and the capacity constraint interact to induce rich dynamics. The optimal policy is sensitive to the nature of demand shocks and to storage capacity. For a fixed capacity, the storage unit internalizes its unilateral market power; it acts like a monopolist on its arbitrage spread. We uncover a new phenomenon that we call continuation risk. It is a corollary of market power and induces the optimal capacity to be interior even absent investment cost. We discuss some implications.
This work applies to any storable commodity such as crops, raw materials or fuels, and more recently, electricity.
存储的动态交易策略
我们考虑了一个具有需求冲击的寡头垄断市场的动态模型,其中存储单元在容量约束下随时间买卖。为了在这个有约束的随机博弈中取得进展,我们将注意力限制在简单的启发式上,并且我们可以在这类受限策略中描述存储单元的最优策略。启发式、外生随机过程和能力约束相互作用,产生丰富的动态。最优策略对需求冲击的性质和存储容量敏感。对于固定容量,存储单元内化其单边市场力量;它在套利价差方面就像一个垄断者。我们发现了一种新的现象,我们称之为延续风险。这是市场力量的必然结果,即使不存在投资成本,也能推导出最优产能是内部的。我们讨论了一些含义。这项工作适用于任何可储存的商品,如农作物、原材料或燃料,以及最近的电力。
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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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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