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Discrete-time risk-aware optimal switching with non-adapted costs

Published online by Cambridge University Press:  06 June 2022

Randall Martyr*
Affiliation:
Kingston University London
John Moriarty*
Affiliation:
Queen Mary University of London
Magnus Perninge*
Affiliation:
Linnaeus University
*
*Postal address: River House, 5357 High Street, Surrey, UK. Email address: r.martyr@kingston.ac.uk
**Postal address: School of Mathematical Sciences, Queen Mary University of London, Mile End Road, London, UK. Email address: jmoriarty@qmul.ac.uk
***Postal address: PG Vejdes väg 7, 352 52 Växjö, Sweden.

Abstract

We solve non-Markovian optimal switching problems in discrete time on an infinite horizon, when the decision-maker is risk-aware and the filtration is general, and establish existence and uniqueness of solutions for the associated reflected backward stochastic difference equations. An example application to hydropower planning is provided.

Type
Original Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Applied Probability Trust

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