Journal of Risk Model Validation
ISSN:
1753-9579 (print)
1753-9587 (online)
Editor-in-chief: Steve Satchell

Temporal dependence in multi-step density forecasting models
Kevin Dowd
Abstract
ABSTRACT
Temporal dependence in multi-step density forecasting models is examined. If the underlying random variable has a known dependence structure this suggests that suitably transformed observations from the density forecasting model have a unique (and often simple) dependence structure of their own. Knowledge of this structure enables the model validator to carry out more efficient tests that take account of, and also test, the dependence structure itself. The tests themselves are extremely simple and powerful. An illustrative empirical application of the proposed approach to the evaluation of the Bank of England’s “fan chart” forecasts of inflation uncertainty is also given.
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Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
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