On Execution Strategies and Minimum Discrimination Information Principle

被引:0
|
作者
Takada, Hellinton H. [1 ,2 ]
机构
[1] Itau Asset Management, Quantitat Res, Sao Paulo, Brazil
[2] Univ Sao Paulo, Inst Math & Stat, BR-05508 Sao Paulo, Brazil
关键词
Information theory; Entropy; Financial markets;
D O I
10.1063/1.4959059
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Execution strategies are algorithms used to execute huge amount of orders in stock exchanges. Consequently, they are very important for big players such as institutional investors, asset management firms, pension funds and, so on. In this context, there is a plethora of execution algorithms used by traders and brokers to execute the orders of their clients. In this paper, we define execution strategies as execution density functions. We propose an execution impact cost function based on Kullback-Leibler divergence to be used in the derivation of execution strategies in general. Time weighted average price (TWAP) and volume weighted average price (VWAP) execution strategies are the two fundamental algorithms that originate several other strategies. Formally, we derive the TWAP and VWAP strategies using the minimum discrimination information principle. Additionally, we use the developed theory to obtain some VWAP tilt execution strategies.
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页数:8
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