战略性内幕交易均衡:一种前瞻性整合方法

K. Aase, Terje Bjuland, B. Oksendal
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引用次数: 4

摘要

本文研究了Kyle(1985)的信息不对称的连续时间资产定价模型,并在多个方向上进行了推广,即允许时变噪声交易,允许噪声交易者的订单与内幕信号相关。从相当简单的假设中,我们可以推导出内幕人士的最优交易;给定完全内幕信息时,交易强度满足确定性积分方程。为了找到最优的交易策略,我们使用了一种叫做前向积分的新技术。这是随机积分的一个扩展,它考虑了这个问题中固有的信息不对称。利用过滤理论发现做市商的价格反应。新颖之处在于我们的方法,它可以在范围上扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategic Insider Trading Equilibrium: A Forward Integration Approach
The continuous-time version of Kyle’s (1985) model of asset pricing with asymmetric information is studied, and generalized in various directions, i.e., by allowing time-varying noise trading, and by allowing the orders of the noise traders to be correlated with the insider’s signal. From rather simple assumptions we are able to derive the optimal trade for an insider; the trading intensity satisfies a deterministic integral equation, given perfect inside information. We use a new technique called forward integration in order to find the optimal trading strategy. This is an extension of the stochastic integral which takes account of the informational asymmetry inherent in this problem. The market makers’ price response is found by the use of filtering theory. The novelty is our approach, which could be extended in scope.
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