Diffusion approximations for randomly arriving expert opinions in a financial market with Gaussian drift

نویسندگان

چکیده

This paper investigates a financial market where returns depend on an unobservable Gaussian drift process. While the observation of yields information about underlying drift, we also incorporate discrete-time expert opinions as external source information. For estimating hidden it is crucial to consider conditional distribution given available observations, so-called filter. investor observing both return process and opinions, investigate in detail asymptotic behavior filter frequency arrival tends infinity. In our setting, higher comes at cost accuracy, meaning that increases, variance becomes larger. We model dates are deterministic equidistant another arrive randomly jump times Poisson cases derive limit theorems stating obtained from asymptotically same certain diffusion which can be interpreted continuous-time expert. use approximations for high-frequency opinions. These extremely helpful deriving simplified approximate solutions utility maximization problems.

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ژورنال

عنوان ژورنال: Journal of Applied Probability

سال: 2021

ISSN: ['1475-6072', '0021-9002']

DOI: https://doi.org/10.1017/jpr.2020.82