G-预期下稳健定价内核的长期分解

Jaehyun Kim, Hyungbin Park
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引用次数: 0

摘要

本研究开发了一种在 G 期望框架下长期分解定价核的 BSDE 方法。我们建立了三类二次 G-BSDEs 解的存在性、唯一性和正则性:有限视距 G-BSDEs、无限视距 G-BSDEs 和遍历 G-BSDEs。利用这些结果,定价内核可以唯一地分解为四个部分:指数贴现部分、过渡部分、对称 G-Martingale,以及捕捉 G-Brownian 运动波动不确定性的递减部分。此外,这些分量是通过一个 PDE 的解来表示的。这项研究将之前在单一固定概率框架下获得的发现扩展到了 G 期望背景下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term decomposition of robust pricing kernels under G-expectation
This study develops a BSDE method for the long-term decomposition of pricing kernels under the G-expectation framework. We establish the existence, uniqueness, and regularity of solutions to three types of quadratic G-BSDEs: finite-horizon G-BSDEs, infinite-horizon G-BSDEs, and ergodic G-BSDEs. Moreover, we explore the Feynman--Kac formula associated with these three types of quadratic G-BSDEs. Using these results, a pricing kernel is uniquely decomposed into four components: an exponential discounting component, a transitory component, a symmetric G-martingale, and a decreasing component that captures the volatility uncertainty of the G-Brownian motion. Furthermore, these components are represented through a solution to a PDE. This study extends previous findings obtained under a single fixed probability framework to the G-expectation context.
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