A Generalization of Stochastic Calculus--A Conjecture

David E. Harris
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Abstract

Existing models of calculus in finance, such as Ito calculus have an underlying assumption that the parameters are known. This paper relaxes that assumption. The paper proposes the creation of differentiable paths that do not require an expectation to exist. Further, the path minimizes the expected loss from using a predictive calculus and, under mild conditions, stochastically dominates any other path. Further, the path is assured to produce fair gambling odds if used in finance. This method maps to Ito and Stratonovich methods if the parameters are known and dominate them if they are not in the general case.
随机微积分的推广——一个猜想
现有的金融微积分模型,如伊藤微积分,有一个基本假设,即参数是已知的。本文打破了这一假设。本文提出了不需要期望存在的可微路径的创建。此外,该路径通过使用预测演算最小化预期损失,并且在温和条件下随机优于任何其他路径。此外,如果将这条路径用于金融领域,肯定会产生公平的赌博赔率。如果参数是已知的,则该方法映射到Ito和Stratonovich方法,如果在一般情况下参数不是已知的,则该方法占主导地位。
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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