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arXiv 2011.08343q-fin.MF
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完全市场中的期权定价--因子动力学

Option Pricing Incorporating Factor Dynamics in Complete Markets

Yuan Hu, Abootaleb Shirvani, W. Brent Lindquist, Frank J. Fabozzi, Svetlozar T. Rachev

摘要:

利用Donsker-Prokhorov不变性原理,我们扩展了Kim-Stoyanov-Rachev-Fabozzi期权定价模型,使其考虑到交易时间间隔可变的情况,这是期权卖空者的一个重要考虑因素。应用Cherny-Shiryaev-Yor不变性原理,我们制定了一个新的二项式路径依赖定价模型的离散和连续时间完全市场的股票价格动态依赖于市场影响因素的对数收益动态。在离散的情况下,我们将这种新方法的结果扩展到金融市场,其中知情交易者采用涉及远期合约交易的统计套利策略。我们的研究结果说明采用美国金融市场数据的数值例子。我们的工作提供了进一步的支持的结论,任何期权定价模型必须保留有价值的信息的瞬时平均对数回报,股票的向上运动的概率(每交易区间),和其他市场微观结构功能。

英文摘要:

Using the Donsker-Prokhorov invariance principle we extend the Kim-Stoyanov-Rachev-Fabozzi option pricing model to allow for variably-spaced trading instances, an important consideration for short-sellers of options. Applying the Cherny-Shiryaev-Yor invariance principles, we formulate a new binomial path-dependent pricing model for discrete- and continuous-time complete markets where the stock price dynamics depends on the log-return dynamics of a market influencing factor. In the discrete case, we extend the results of this new approach to a financial market with informed traders employing a statistical arbitrage strategy involving trading of forward contracts. Our findings are illustrated with numerical examples employing US financial market data. Our work provides further support for the conclusion that any option pricing model must preserve valuable information on the instantaneous mean log-return, the probability of the stock's upturn movement (per trading interval), and other market microstructure features.

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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