Simplified Stochastic Calculus via Semimartingale Representations

A. Černý, J. Ruf
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引用次数: 5

Abstract

We develop a stochastic calculus that makes it easy to capture a variety of predictable transformations of semimartingales such as changes of variables, stochastic integrals, and their compositions. The framework offers a unified treatment of real-valued and complex-valued semimartingales. The proposed calculus is a blueprint for the derivation of new relationships among stochastic processes with specific examples provided below.
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基于半鞅表示的简化随机微积分
我们开发了一种随机微积分,可以很容易地捕获各种可预测的半鞅变换,如变量的变化、随机积分及其组成。该框架提供了实值和复值半鞅的统一处理。所提出的微积分是一个蓝图,用于推导随机过程之间的新关系,下面提供了具体的例子。
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