Multiscale behavior of a simple model for stock markets.
Multistage risk premiums in portfolio optimization
This paper deals with a multistage stochastic programming portfolio selection problem with a new type of risk premium constraints. These risk premiums are constructed on the multistage scenario tree. Two ways of the construction are introduced and compared. The risk premiums are incorporated in the multistage stochastic programming portfolio selection problem. The problem maximizes the multivariate (multiperiod) utility function under condition that the multistage risk premiums are smaller than...
Multivariate extensions of expectiles risk measures
This paper is devoted to the introduction and study of a new family of multivariate elicitable risk measures. We call the obtained vector-valued measures multivariate expectiles. We present the different approaches used to construct our measures. We discuss the coherence properties of these multivariate expectiles. Furthermore, we propose a stochastic approximation tool of these risk measures.
Multivariate Fréchet copulas and conditional value-at-risk.
Multivariate nonlinear analysis and prediction of Shanghai stock market.
Multivariate stochastic dominance for multivariate normal distribution
Stochastic dominance is widely used in comparing two risks represented by random variables or random vectors. There are general approaches, based on knowledge of distributions, which are dedicated to identify stochastic dominance. These methods can be often simplified for specific distribution. This is the case of univariate normal distribution, for which the stochastic dominance rules have a very simple form. It is however not straightforward if these rules are also valid for multivariate normal...
Mycielski ideals generated by uncountable systems