All HARA-utility investors with the same exponent invest in a single risky fund and the risk-free asset. In a continuous time-model stock proportions are proportional to the inverse local relative risk aversion of the investor (1/gamma-rule). This paper analyses the conditions under which the optimal buy and holdportfolio of a HARA-investor can be approximated by the optimal portfolio of an investor with some low level of constant relative risk aversion using the 1/gamma-rule. It turns out that the approximation works very well in markets without approximate arbitrage opportunities. In markets with high equity premiums this approximation may be of low quality
To try to outperform an externally given benchmark with known weights is the most common equity mand...
In this paper, we analyse a market where the risky assets follow exponential additive processes, whi...
This paper derives a unified framework for portfolio optimization, derivative pricing, financial mod...
All HARA-utility investors with the same exponent invest in a single risky fund and the risk-free as...
We maximize the expected utility from terminal wealth for an HARA investor when the market price of ...
In this paper we analyse a pure jump incomplete market where the risky assets can jump upwards or do...
We study the problem of portfolio optimization in an incomplete market using derivatives as well as ...
In this paper, we adopt a monotone numerical scheme to solve the Hamilton-Jacobi-Bellman equation ar...
We develop a model of optimal asset allocation based on a utility framework. This applies to a more ...
We develop a model of optimal asset allocation based on a utility framework. This applies to a more ...
This paper examines changes in the optimal proportions of investment capital placed in a safe asset ...
We maximize the expected utility from terminal wealth for a Constant Relative Risk Aversion (CRRA) i...
We revisit the problem of calculating the exact distribution of optimal investments in a mean varian...
Portfolio optimization is a long studied problem in mathematical finance which seeks to identify the...
This paper analytically solves the portfolio optimization problem of an investor faced with a risky ...
To try to outperform an externally given benchmark with known weights is the most common equity mand...
In this paper, we analyse a market where the risky assets follow exponential additive processes, whi...
This paper derives a unified framework for portfolio optimization, derivative pricing, financial mod...
All HARA-utility investors with the same exponent invest in a single risky fund and the risk-free as...
We maximize the expected utility from terminal wealth for an HARA investor when the market price of ...
In this paper we analyse a pure jump incomplete market where the risky assets can jump upwards or do...
We study the problem of portfolio optimization in an incomplete market using derivatives as well as ...
In this paper, we adopt a monotone numerical scheme to solve the Hamilton-Jacobi-Bellman equation ar...
We develop a model of optimal asset allocation based on a utility framework. This applies to a more ...
We develop a model of optimal asset allocation based on a utility framework. This applies to a more ...
This paper examines changes in the optimal proportions of investment capital placed in a safe asset ...
We maximize the expected utility from terminal wealth for a Constant Relative Risk Aversion (CRRA) i...
We revisit the problem of calculating the exact distribution of optimal investments in a mean varian...
Portfolio optimization is a long studied problem in mathematical finance which seeks to identify the...
This paper analytically solves the portfolio optimization problem of an investor faced with a risky ...
To try to outperform an externally given benchmark with known weights is the most common equity mand...
In this paper, we analyse a market where the risky assets follow exponential additive processes, whi...
This paper derives a unified framework for portfolio optimization, derivative pricing, financial mod...