Financial risk modeling with markov chains

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper proposes markovian models in portfolio theory and risk management. In a first analysis, we describe discrete time optimal allocation models. Then, we examine the investor's optimal choices either when returns are uniquely determined by their mean and variance or when they are modeled by a Markov chain. Moreover we propose different models to compute VaR and CVaR when returns are modeled by a Markov chain. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Leccadito, A., Lozza, S. O., Russo, E., & Iaquinta, G. (2006). Financial risk modeling with markov chains. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4224 LNCS, pp. 1275–1282). Springer Verlag. https://doi.org/10.1007/11875581_151

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free