It is well known that strategies that allow investors to allocate their wealth using return and volatility forecasts, the use of which are termed market and volatility timing, are of significant value. In this paper, we show that distribution timing, defined here as the ability to use forecasts for moments up to the fourth one, yields significant incremental economic value. By considering the weekly asset allocation among the five largest international stock markets, we find that distribution timing yields a gain of around 140 basis points per year over the last decade. To control for the parameter uncertainty of the model, we cast the model into a Bayesian setting. We also consider alternative preference structures and model specifications...
This paper investigates how best to forecast optimal portfolio weights in the context of a volatilit...
We address the empirical implementation of the static asset allocation problem by developing a forwa...
This dissertation presents three stand-alone contributions to the fields of theoretical and empirica...
It is well known that strategies that allow investors to allocate their wealth using return and vola...
It is well known that strategies that allow investors to allocate their wealth using return and vola...
<div><p>Market timing is an investment technique that tries to continuously switch investment into a...
Market timing is an investment technique that tries to continuously switch investment into assets fo...
The presence of time varying investment opportunity sets has been documented in the context of inter...
There is growing interest in utilizing the range data of asset prices to study the role of volatilit...
We address the empirical implementation of the static asset allocation problem by developing a forwa...
The presence of time varying investment opportunity sets has been documented in the context of inter...
This paper assesses the relative economic value of volatility and correlation timing in the con-text...
We address the empirical implementation of the static asset allocation problem by developing a forwa...
Previous research into market timing has been concerned with measuring investment performance of a p...
Density forecasts contain a complete description of the uncertainty associated with a point forecast...
This paper investigates how best to forecast optimal portfolio weights in the context of a volatilit...
We address the empirical implementation of the static asset allocation problem by developing a forwa...
This dissertation presents three stand-alone contributions to the fields of theoretical and empirica...
It is well known that strategies that allow investors to allocate their wealth using return and vola...
It is well known that strategies that allow investors to allocate their wealth using return and vola...
<div><p>Market timing is an investment technique that tries to continuously switch investment into a...
Market timing is an investment technique that tries to continuously switch investment into assets fo...
The presence of time varying investment opportunity sets has been documented in the context of inter...
There is growing interest in utilizing the range data of asset prices to study the role of volatilit...
We address the empirical implementation of the static asset allocation problem by developing a forwa...
The presence of time varying investment opportunity sets has been documented in the context of inter...
This paper assesses the relative economic value of volatility and correlation timing in the con-text...
We address the empirical implementation of the static asset allocation problem by developing a forwa...
Previous research into market timing has been concerned with measuring investment performance of a p...
Density forecasts contain a complete description of the uncertainty associated with a point forecast...
This paper investigates how best to forecast optimal portfolio weights in the context of a volatilit...
We address the empirical implementation of the static asset allocation problem by developing a forwa...
This dissertation presents three stand-alone contributions to the fields of theoretical and empirica...