This paper considers a multi-objective portfolio selection problem imposed by gaining of portfolio, divided yield and risk control in an ambiguous investment environment, in which the return and risk are characterized by probabilistic numbers. Based on the theory of possibility, a new multi-objective portfolio optimization model with gaining of portfolio, divided yield and risk control is propo...

Based on the theory of existing research project portfolio management, paper analyzes key factors selection, and evaluates them using fuzzy comprehensive evaluation method. Finally, builds a choice integer programming model based 0/1 programming, which is organizations strategies.

In this paper, two kinds of possibility distributions, namely, upper and lower possibility distributions are identi®ed to re ̄ect experts' knowledge in portfolio selection problems. Portfolio selection models based on these two kinds of distributions are formulated by quadratic programming problems. It can be said that a portfolio return based on the lower possibility distribution has smaller po...

Portfolio optimization under downside risk while preserving the upside is of crucial importance to asset managers. In the Black-Scholes setting, we consider one such particular measure given by the notion of capital-at-risk. This paper generalizes the work of Emmer et al., 2001, to the case of time dependent parameters and investment strategies, i.e., continuous-time portfolio optimization, and...

We investigate a continuous-time version of the mean-variance portfolio selection model with jumps under regime switching. The portfolio selection is proposed and analyzed for a market consisting of one bank account andmultiple stocks. The random regime switching is assumed to be independent of the underlying Brownian motion and jump processes. A Markov chain modulated diffusion formulation is ...