OPTIMAL EXECUTION STRATEGY WITH LINEAR PRICE IMPACT FUNCTIONS

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  • 線形価格インパクト関数を用いた最適執行戦略
  • センケイ カカク インパクト カンスウ オ モチイタ サイテキ シッコウ センリャク

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When fund managers or traders in the financial institutions trade a large volume of a stock, the trading volume might impact the stock price. This paper discusses optimal execution strategies with linear price impact functions for trading a large volume of a stock. At first, we verify the fact that an optimal solution derived by dynamic programming algorithm can be satisfied with the optimality condition via mathematical programming formulation if a random variable in a price impact function is independently and identically distributed. We formulate the mathematical programming model with non-negativity constraints. The type of the problem can be formulated as a quadratic programming, but it is not always convex. In this paper, we decompose the matrix derived from the linear price impact function, and we calculate a closed-form condition that the matrix is positive definite. Similarly, we propose a model using matrix decomposition to solve the problem fast. We examine the model using a linear impact function of Huberman and Stanzl(2001) with numerical examples. We analyze the sensitivity of various parameters for seven kinds of the coefficients of linear price impact.

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