Artiยฎcial neural network modelling has recently attracted much attention as a new technique for estimation and forecasting in economics and ยฎnance. The chief advantages of this new approach are that such models can usually ยฎnd a solution for very complex problems, and that they are free from the ass
โฆ LIBER โฆ
Forecasting inflation with thick models and neural networks
โ Scribed by Peter McAdam; Paul McNelis
- Book ID
- 116423614
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 232 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0264-9993
No coin nor oath required. For personal study only.
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This paper investigates the use of Artificial Neural Networks (ANNs) to combine time series forecasts of stock market volatility from the USA, Canada, Japan and the UK. We demonstrate that combining with nonlinear ANNs generally produces forecasts which, on the basis of out-of-sample forecast encomp