We make three related contributions. First, we propose a new technique for solving prediction problems under asymmetric loss using piecewise-linear approximations to the loss function, and we establish existence and uniqueness of the optimal predictor. Second, we provide a detailed application to op
Optimal forecast intervals under asymmetric loss
β Scribed by Matei Demetrescu
- Book ID
- 102214455
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 287 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.1019
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β¦ Synopsis
Abstract
An optimality criterion for forecast intervals under asymmetric loss functions is proposed. A loss optimal forecast interval is obtained by requiring that the expected loss, conditional on a future realization within the desired interval, be minimal. The main difficulty in the context of forecasting under asymmetric loss emerges when there is no knowledge about the distribution of the innovations. For solving this problem, an extension of estimation under the relevant loss function is suggested. In many cases, one also needs to account for the additional variability due to estimation of model parameters. Another solution, based on the bootstrap, works for both problems.ββCopyright Β© 2007 John Wiley & Sons, Ltd.
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