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arXiv 1901.00345q-fin.MF
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长记忆随机流动性下的均衡价格与最优内幕交易策略

Equilibrium price and optimal insider trading strategy under stochastic liquidity with long memory

Ben-zhang Yang, Xinjiang He, Nan-jing Huang

摘要:

本文通过对具有长记忆特征的交易量进行刻画,并允许噪声交易波动遵循一般的随机过程,对内幕交易的Kyle模型进行了扩展。在此模型下,确定了均衡条件,并在此基础上得到了最优内幕交易策略、价格冲击和价格波动率。价格波动的波动性似乎过大,这是因为当不知情的交易量较高时,内部人士选择了更激进的交易策略。最优交易策略具有长记忆特性,价格冲击也受到分数噪声的影响。

英文摘要:

In this paper, the Kyle model of insider trading is extended by characterizing the trading volume with long memory and allowing the noise trading volatility to follow a general stochastic process. Under this newly revised model, the equilibrium conditions are determined, with which the optimal insider trading strategy, price impact and price volatility are obtained explicitly. The volatility of the price volatility appears excessive, which is a result of the fact that a more aggressive trading strategy is chosen by the insider when uninformed volume is higher. The optimal trading strategy turns out to possess the property of long memory, and the price impact is also affected by the fractional noise.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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