Mathematical Theory in Stock Fair Pricing

Meihong Shan
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Abstract

In this writing, fair pricing models for stocks are derived based on probability theory. The models are validated by US stock market 5-minute mid-quote to mid-quote reversion, not due to bid and ask bouncing, with theoretical values highly close to market observed ones. The relationship between volatility and fair value time decay is calculated. Minimal looking forward time for full fair value realization is derived for given risk tolerance. The results explain why high frequency trading is necessary to catch short term gains and provide regulators new insights into stock market and how we could build a better market. Many examples are presented to demonstrate how the models may be used to explain things happening in stock market. Copyright © (Meihong Shan) All rights reserved.
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股票公平定价的数学理论
本文基于概率论推导了股票的公平定价模型。模型通过美国股票市场5分钟中间报价到中间报价的回归验证,而不是由于买卖反弹,理论值与市场观察值高度接近。计算波动性与公允价值时间衰减之间的关系。在给定风险承受能力的情况下,推导出充分实现公允价值的最小预期时间。研究结果解释了为什么高频交易是获得短期收益的必要条件,并为监管机构提供了对股市的新见解,以及我们如何建立一个更好的市场。许多例子展示了如何使用模型来解释股票市场中发生的事情。版权所有©(梅红山)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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