Shortfall Minimizing Portfolios
نویسندگان
چکیده
Many institutional and private investors seek for a long run excess return relative to a reference strategy (e.g. money market, bond index, etc.) which they want to attain under a minimal shortfall probability. In this article it is shown that even in the long run in order to attain a substantial excess return a high shortfall probability has to be accepted. In the model the prices of the assets follow geometric Brownian motions. Two types of a shortfall are distinguished. A shortfall of type I occurs, if at some point of time the investment goal is missed by a given percentage. There is a shortfall of type II, if the investment goal is missed at the end of the planning horizon. To begin with, only constant portfolio weights are admitted. For both types it can be shown that minimizing the shortfall probability under a given excess return is equivalent to the Merton problem. Under realistic parameter values moderate shortfall probabilities are only compatible with very low excess returns. Finally, it is shown, that "Constant Proportion Portfolio Insurance" does not lead to a reduction of the shortfall probability.
منابع مشابه
Value-at-Risk and expected shortfall for linear portfolios with elliptically distributed risk factors
In this paper, we generalize the parametric ∆-VaR method from portfolios with normally distributed risk factors to portfolios with elliptically distributed ones. We treat both the expected shortfall and the Value-at-Risk of such portfolios. Special attention is given to the particular case of a multivariate t-distribution.
متن کاملPortfolio credit-risk optimization
This paper evaluates several alternative formulations for minimizing the credit risk of a portfolio of financial contracts with different counterparties. Credit risk optimization is challenging because the portfolio loss distribution is typically unavailable in closed form. This makes it difficult to accurately compute Value-at-Risk (VaR) and expected shortfall (ES) at the extreme quantiles tha...
متن کاملOptimization of Conditional Value-at-Risk
A new approach to optimizing or hedging a portfolio of nancial instruments to reduce risk is presented and tested on applications. It focuses on minimizing Conditional Value-at-Risk (CVaR) rather than minimizing Value-at-Risk (VaR), but portfolios with low CVaR necessarily have low VaR as well. CVaR, also called Mean Excess Loss, Mean Shortfall, or Tail VaR, is anyway considered to be a more co...
متن کاملOptimization of performance measures based on Expected Shortfall
We explain how to optimize portfolios with respect to RORAC and RORC based on Expected Shortfall. Recent results from the theories of performance measurement and Swarm Intelligence are used for numeric optimization. We combine and correlate geometric Brownian motions for stocks with a two-factor Cox-Ingersoll-Ross (CIR-2) model for interest rates such that portfolios of bonds and stocks can be ...
متن کاملThe Effect of Shortfall as a Risk Measure for Portfolios with Hedge Funds
Current research suggests that the large downside risk in hedge fund returns disqualifies the variance as an appropriate risk measure. For example, one can easily construct portfolios with nonlinear pay-offs that have both a high Sharpe ratio and a high downside risk. This paper examines the consequences of shortfall-based risk measures in the context of portfolio optimization. In contrast to p...
متن کامل