Showing 121 - 130 of 700,264
We analyze optimal investment strategies under the drawdown constraint that the wealth process never falls below a fixed fraction of its running maximum. We derive optimal allocation programs by solving numerically the Hamilton-Jacobi-Bellman equation that characterizes the finite horizon...
Persistent link: https://www.econbiz.de/10012957585
The paper compares three portfolio optimization models. Modern portfolio theory (MPT) is a short-horizon volatility … theory (DPT) is a non-myopic, discrete time, long-horizon variance model that does not include volatility. DPT controls mean …
Persistent link: https://www.econbiz.de/10012958207
This article studies the optimal portfolio selection of expected utility maximizing investors who must also manage their market-risk exposures. The risk is measured by a so-called weighted Value-at-Risk (WVaR) risk measure, which is a generalization of both Value-at-Risk (VaR) and Expected...
Persistent link: https://www.econbiz.de/10012958692
This paper describes two algorithms for financial portfolio optimization. These algorithms find optimal portfolios for a number of risk measures: CVaR, MAD, LSAD and dispersion CVaR. The algorithms work for discrete distributions of asset returns where optimization problems can be reduced to...
Persistent link: https://www.econbiz.de/10012958855
We extend the Black-Litterman framework beyond normality to general elliptical distributions of investor's views and asset returns and portfolio risk measured by CVaR. Unlike existing solutions, cf. Xiao and Valdez [Quant. Finan. 2015, 15:3, 509-519], the choice of distributions, with the first...
Persistent link: https://www.econbiz.de/10012960088
tracking error to a benchmark. Although the mathematics behind such relationships are similar to the mean/variance problem, the …
Persistent link: https://www.econbiz.de/10012961547
Protecting portfolio against extreme losses is a fundamentally difficult task since past experience provides a poor guidance for the future. This paper focuses on a robust approach to the portfolio insurance, which does not require historical calibration, and therefore avoids the hazards of data...
Persistent link: https://www.econbiz.de/10012900344
In this paper, I propose a dynamic programming approach with value function iteration to solve Bellman equations in discrete time using spatially adaptive sparse grids. In doing so, I focus on Bellman equations used in finance, specifically to model dynamic portfolio choice over the life cycle....
Persistent link: https://www.econbiz.de/10012900643
by actions of the investor. Using the classical filtering theory, we reduce this problem with partial information to one … with full information and solve it for logarithmic and power utility functions. In particular, we apply control theory for …
Persistent link: https://www.econbiz.de/10012901723
Given an investment universe, we consider the vector ρ(w) of correlations of all assets to a portfolio with weights w. This vector offers a representation equivalent to w and leads to the notion of ρ-presentative portfolio, that has a positive correlation, or exposure, to all assets. This...
Persistent link: https://www.econbiz.de/10012901854