预测半平稳过程与统计套利

IF 0.7 Q3 STATISTICS & PROBABILITY Statistical Theory and Related Fields Pub Date : 2020-07-02 DOI:10.1080/24754269.2019.1675420
S. Bao, Shi Chen, W. Zheng, Yu Zhou
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引用次数: 1

摘要

摘要:如果一个金融衍生品可以连续交易,并且其最终收益可以调整为有界过程和平稳过程的总和,那么我们可以使用历史收益的移动平均值进行预测,相应的误差形成广义均值回归过程。因此,我们可以通过其移动平均值对金融衍生品进行定价。人们甚至可以从某些衍生品定价中获得统计套利。我们特别讨论了欧洲看涨期权的例子。我们证明了从布莱克-斯科尔斯的期权价格中获得统计套利的可能性。
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Forecasting semi-stationary processes and statistical arbitrage
ABSTRACT If a financial derivative can be traded consecutively and its terminal payoffs can be adjusted as the sum of a bounded process and a stationary process, then we can use the moving average of the historical payoffs to forecast and the corresponding errors form a generalised mean reversion process. Thus we can price the financial derivatives by its moving average. One can even possibly get statistical arbitrage from certain derivative pricing. We particularly discuss the example of European call options. We show that there is a possibility to get statistical arbitrage from Black–Scholes's option price.
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来源期刊
CiteScore
0.90
自引率
20.00%
发文量
21
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