Based on a robustness concept adapted from mathematical statistics, we investigate robust optimal investment strategies for worst-case crash scenarios when the maximum crash height is not known a priori. We specify an efficiency criterion in terms of the certainty equivalents of optimal terminal wealth and explicitly solve the investor's portfolio problem for CRRA risk preferences. We also study the behavior of the minimax crash height and the efficiency of the associated strategies in the limiting case of infinitely many crashes
In this chapter, we are concerned with decision making methods for dynamic systems under uncertainty...
We investigate a utility maximization problem in the presence of asset price bubbles. At random time...
In standard portfolio theories such as Mean-Variance optimization, expected utility theory, rank dep...
We study a portfolio optimization problem in a market which is under the threat of crashes. At rando...
Summary. We review recent results on the new concept of worst-case portfolio optimization, i.e. we c...
We investigate worst-case optimal consumption and portfolio decisions under the threat of a market c...
We review recent results on the new concept of worst-case portfolio optimization, i.e. we consider t...
We consider the determination of optimal portfolios under the threat of a crash. Our main assumption...
This thesis deals with 3 important aspects of optimal investment in real-world financial markets: ta...
We study optimal asset allocation in a crash-threatened financial market with proportional transacti...
In 2002, Korn and Wilmott introduced the worst-case scenario optimal portfolio approach. They exten...
In traditional portfolio optimization under the threat of a crash the investment horizon or time to ...
We consider the determination of portfolio processes yielding the high-est worst-case bound for the ...
We investigate a portfolio optimization problem under the threat of a market crash, where the intere...
We consider the determination of portfolio processes yielding the highest worst-case bound for the e...
In this chapter, we are concerned with decision making methods for dynamic systems under uncertainty...
We investigate a utility maximization problem in the presence of asset price bubbles. At random time...
In standard portfolio theories such as Mean-Variance optimization, expected utility theory, rank dep...
We study a portfolio optimization problem in a market which is under the threat of crashes. At rando...
Summary. We review recent results on the new concept of worst-case portfolio optimization, i.e. we c...
We investigate worst-case optimal consumption and portfolio decisions under the threat of a market c...
We review recent results on the new concept of worst-case portfolio optimization, i.e. we consider t...
We consider the determination of optimal portfolios under the threat of a crash. Our main assumption...
This thesis deals with 3 important aspects of optimal investment in real-world financial markets: ta...
We study optimal asset allocation in a crash-threatened financial market with proportional transacti...
In 2002, Korn and Wilmott introduced the worst-case scenario optimal portfolio approach. They exten...
In traditional portfolio optimization under the threat of a crash the investment horizon or time to ...
We consider the determination of portfolio processes yielding the high-est worst-case bound for the ...
We investigate a portfolio optimization problem under the threat of a market crash, where the intere...
We consider the determination of portfolio processes yielding the highest worst-case bound for the e...
In this chapter, we are concerned with decision making methods for dynamic systems under uncertainty...
We investigate a utility maximization problem in the presence of asset price bubbles. At random time...
In standard portfolio theories such as Mean-Variance optimization, expected utility theory, rank dep...