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Density Forecasting with Time-Varying Higher Moments: A Model Confidence Set Approach

✍ Scribed by Anders Wilhelmsson


Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
468 KB
Volume
32
Category
Article
ISSN
0277-6693

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✦ Synopsis


ABSTRACT

Density forecasts contain a complete description of the uncertainty associated with a point forecast and are therefore important measures of financial risk. This paper aims to examine whether the new more complicated models for financial returns that allow for time variation in higher moments lead to better out‐of‐sample density forecasts. Using two decades of daily Standard & Poor's 500 index returns I find that a model with time‐varying conditional variance, skewness and kurtosis produces significantly better density forecasts than the competing models. Copyright © 2011 John Wiley & Sons, Ltd.