Article ID: | iaor2016642 |
Volume: | 35 |
Issue: | 2 |
Start Page Number: | 93 |
End Page Number: | 112 |
Publication Date: | Mar 2016 |
Journal: | Journal of Forecasting |
Authors: | Sirichand Kavita, Hall Stephen G |
Keywords: | decision, investment, statistics: empirical, economics |
This paper illustrates the importance of density forecasting and forecast evaluation in portfolio decision making. The decision‐making environment is fully described for an investor seeking to optimally allocate her portfolio between long and short Treasury bills, over investment horizons of up to 2 years. We examine the impact of parameter uncertainty and predictability in bond returns on the investor's allocation and we describe how the forecasts are computed and used in this context. Both statistical and decision‐based criteria are used to assess the predictability of returns. Our results show sensitivity to the evaluation criterion used and, in the context of investment decision making under an economic value criterion, we find some potential gain for the investor from assuming predictability.