Asymptotic Impulse Control of Mean-Reverting Interest Rates with a Slowly Varying Stochastic Volatility

Chi Seng Pun, Rachana Gupta
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引用次数: 2

Abstract

This paper studies the optimal central bank intervention of interest rate problem, where the interest rate process is modelled by an Ornstein—Uhlenbeck (mean-reverting) process with a slowly varying stochastic volatility. The objective of the central bank is to maintain the interest rate close to a target level, subject to fixed and proportional costs of interventions. The problem is formulated as an impulse control problem, which is being converted to a free boundary problem by adopting an ansatz of a band policy. Due to the complexity introduced by the stochastic volatility, there is no analytical solution to the free boundary value problem in the literature. This paper applies a regular perturbation approach to derive an asymptotic solution to the value function and the optimal impulse control (intervention). We rigorously prove that the zeroth-order approximation of the optimal impulse control is associated with the first-order approximation of the value function. Moreover, we show that this zeroth-order suboptimal impulse control is asymptotically optimal in a specific family of impulse controls.
具有慢变随机波动率的均值回归利率的渐近脉冲控制
本文研究了利率问题的最优中央银行干预问题,其中利率过程采用具有缓慢变化随机波动率的Ornstein-Uhlenbeck(均值回归)过程建模。中央银行的目标是维持利率接近目标水平,受制于固定和成比例的干预成本。将该问题表述为脉冲控制问题,并通过对带策略的解析将其转化为自由边界问题。由于随机波动带来的复杂性,文献中没有关于自由边值问题的解析解。本文应用正则摄动方法导出了值函数的渐近解和最优脉冲控制(干预)。我们严格地证明了最优脉冲控制的零阶近似与值函数的一阶近似相关联。此外,我们还证明了这种零阶次优脉冲控制在特定的脉冲控制族中是渐近最优的。
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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