Filtering and parameter estimation techniques from Hidden Markov Models are applied to a discrete time asset allocation problem. For the commonly used mean-variance utility explicit optimal strategies are obtained

We first discuss some mathematical tools used to compute the intensity of a single jump process, in its canonical filtration. In the second part, we try to clarify the meaning of default and the links between the default time, the asset?s filtration, and the intensity of the default time. We...

This paper is intended to elaborate regime switching and optimal investment timing in a real option framework. The paper differs from the existing literature in a significant way. In this paper we first consider an irreversible investment timing decision by adding a hidden Markov process to...

A number of methodologies have been employed to provide decision making solutions globalized markets. Hidden Markov Models in Finance offers the first systematic application of these methods to specialized financial problems: option pricing, credit risk modeling, volatility estimation and more....

This paper quantifies the impact of the 1630-1631 Italian plague on the business activities of the Florentine merchant-bank Saminiati & Guasconi. Employing AI for handwriting recognition on over 6,000 bank letters we show that letters and goods transactions decreased by two-thirds when a...