This paper analyses the portfolio problem of an investor maximizing the expected exponential utility of his terminal real wealth. The investor must cope with both a set of stochastic investment opportunities and a set of background risks. If the market is complete we are able to find an exact solution. If the market is incomplete, we suggest an approximated general solution. Contrary to other exact solutions obtained in the literature, all our results are obtained considering a stochastic inflation risk and without specifying any particular functional form for the stochastic variables involved in the problem. (C) 2002 Elsevier Science B.V. All rights reserved
This paper is devoted to study the optimal portfolio problem. Harry Markowitz’s Ph.D. thesis prepare...
The article analyzes optimal portfolio choice of utility maximizing agents in a general continuous-t...
The problem of investing money is common to citizens, families and companies. In this chapter, we in...
This paper analyses the portfolio problem of an investor who whants to maximize the expected utility...
This paper analyses the portfolio problem of a fund manager maxi-mizing the expected utility of fund...
We discuss the portfolio selection problem of an investor/portfolio manager in an arbitrage-free fin...
This thesis deals with two optimization problems of rational investors, who want to maximize their e...
In this paper, we consider a financial market with assets exposed to some risks inducing jumps in th...
Given an investor maximizing utility from terminal wealth with respect to a power utility function, ...
This paper considers dynamic optimal portfolio strategies of utility maximizing investors in the pre...
Self-financing optimal investment problem is considered in an incomplete market. The general existen...
We consider the process of constructing an optimal hedging portfoliostrategies of an investor. This ...
The paper investigates dynamic optimal portfolio strategies of utility maximi-zing portfolio manager...
In this research, we search for optimal portfolio strategies in the presence of various risk measure...
The topic of this thesis is portfolio optimization under model ambiguity, i.e. a situation when the ...
This paper is devoted to study the optimal portfolio problem. Harry Markowitz’s Ph.D. thesis prepare...
The article analyzes optimal portfolio choice of utility maximizing agents in a general continuous-t...
The problem of investing money is common to citizens, families and companies. In this chapter, we in...
This paper analyses the portfolio problem of an investor who whants to maximize the expected utility...
This paper analyses the portfolio problem of a fund manager maxi-mizing the expected utility of fund...
We discuss the portfolio selection problem of an investor/portfolio manager in an arbitrage-free fin...
This thesis deals with two optimization problems of rational investors, who want to maximize their e...
In this paper, we consider a financial market with assets exposed to some risks inducing jumps in th...
Given an investor maximizing utility from terminal wealth with respect to a power utility function, ...
This paper considers dynamic optimal portfolio strategies of utility maximizing investors in the pre...
Self-financing optimal investment problem is considered in an incomplete market. The general existen...
We consider the process of constructing an optimal hedging portfoliostrategies of an investor. This ...
The paper investigates dynamic optimal portfolio strategies of utility maximi-zing portfolio manager...
In this research, we search for optimal portfolio strategies in the presence of various risk measure...
The topic of this thesis is portfolio optimization under model ambiguity, i.e. a situation when the ...
This paper is devoted to study the optimal portfolio problem. Harry Markowitz’s Ph.D. thesis prepare...
The article analyzes optimal portfolio choice of utility maximizing agents in a general continuous-t...
The problem of investing money is common to citizens, families and companies. In this chapter, we in...