In a dynamic investment situation, the right timing of portfolio revisions and adjustments is essential to sustain long-term growth. A high rebalancing frequency reduces the portfolio performance in the presence of transaction costs, whereas a low rebalancing frequency entails a static investment strategy that hardly reacts to changing market conditions. This article studies a family of portfolio problems in a Black-Scholes type economy which depend parametrically on the rebalancing frequency. As an objective criterion we use log-utility, which has strong theoretical appeal and represents a natural choice if the primary goal is long-term performance. We argue that continuous rebalancing only slightly outperforms discrete rebalancing if ther...
A portfolio which has a maximum expected growth rate is often referred to in the literature as a log...
What is the optimal rebalancing policy for a portfolio’s equity and bond holdings? The classical ans...
Optimizing over power-log utility functions allow for the inclusion of downside loss aversion, a bro...
In a dynamic investment situation, the right timing of portfolio revisions and adjustments is essent...
In this study we show that the rebalance frequency of a multi-asset portfolio has only limited impac...
An insightfulproblem of passive managementis considered, where an aggregate portfolio is rebalanced ...
Trading strategies translate goals and constraints of asset management into dynamic, intertemporal, ...
Portfolio rebalancing is an established concept in portfolio management and investing generally. Ass...
Portfolio rebalancing serves as a critical mechanism for maintaining targeted asset allocations and ...
Portfolio rebalancing can be a fundamental tool to ensure portfolio's risk and return characteristic...
It is commonly believed that a continuously rebalanced investment portfolio achieves the optimal inv...
Our study seeks to examine the value of various portfolio rebalancing strategies using historical da...
We consider the impact of transaction costs on the portfolio decisions of a long-lived agent with is...
In this paper, we examine rebalancing strategies for long-term institutional investors. Specifically...
M.Com. (Financial Economics)Abstract: This dissertation assesses patient and quick-trigger portfolio...
A portfolio which has a maximum expected growth rate is often referred to in the literature as a log...
What is the optimal rebalancing policy for a portfolio’s equity and bond holdings? The classical ans...
Optimizing over power-log utility functions allow for the inclusion of downside loss aversion, a bro...
In a dynamic investment situation, the right timing of portfolio revisions and adjustments is essent...
In this study we show that the rebalance frequency of a multi-asset portfolio has only limited impac...
An insightfulproblem of passive managementis considered, where an aggregate portfolio is rebalanced ...
Trading strategies translate goals and constraints of asset management into dynamic, intertemporal, ...
Portfolio rebalancing is an established concept in portfolio management and investing generally. Ass...
Portfolio rebalancing serves as a critical mechanism for maintaining targeted asset allocations and ...
Portfolio rebalancing can be a fundamental tool to ensure portfolio's risk and return characteristic...
It is commonly believed that a continuously rebalanced investment portfolio achieves the optimal inv...
Our study seeks to examine the value of various portfolio rebalancing strategies using historical da...
We consider the impact of transaction costs on the portfolio decisions of a long-lived agent with is...
In this paper, we examine rebalancing strategies for long-term institutional investors. Specifically...
M.Com. (Financial Economics)Abstract: This dissertation assesses patient and quick-trigger portfolio...
A portfolio which has a maximum expected growth rate is often referred to in the literature as a log...
What is the optimal rebalancing policy for a portfolio’s equity and bond holdings? The classical ans...
Optimizing over power-log utility functions allow for the inclusion of downside loss aversion, a bro...