We study the value of information for a manager who invests in a stock market to optimize the utility of her future wealth. We consider an incomplete financial market model with a mean reverting market price of risk that cannot be directly observed by the manager. The available information is represented by the filtration generated by the stock price process. We solve the classical Merton problem for an incomplete market under partial information by means of filtering technique and the martingale approach.

The value of information for optimal portfolio management / Colaneri, Katia; Herzel, Stefano; Nicolosi, Marco. - (2018), pp. 225-229. [10.1007/978-3-319-89824-7_41].

The value of information for optimal portfolio management

Marco Nicolosi
2018

Abstract

We study the value of information for a manager who invests in a stock market to optimize the utility of her future wealth. We consider an incomplete financial market model with a mean reverting market price of risk that cannot be directly observed by the manager. The available information is represented by the filtration generated by the stock price process. We solve the classical Merton problem for an incomplete market under partial information by means of filtering technique and the martingale approach.
2018
Mathematical and Statistical Methods for Actuarial Sciences and Finance
978-3-319-89823-0
Portfolio management; incomplete market; filtering; learning; mean-reverting process
02 Pubblicazione su volume::02a Capitolo o Articolo
The value of information for optimal portfolio management / Colaneri, Katia; Herzel, Stefano; Nicolosi, Marco. - (2018), pp. 225-229. [10.1007/978-3-319-89824-7_41].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1749258
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