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About Jeff Augen - Trading Options at Expiration-Strategies and Models For Winning The Endgame
This document summarizes a method for time series forecasting using self-organizing maps (SOM) and local non-linear models. Specifically: 1. SOMs are used to cluster the past dynamics of a time series into different regimes or behaviors. 2. Local radial basis function models are built for each cluster to capture the possible evolution of the series. 3. A probabilistic model combines the local predictions to generate an overall forecast. 4. The method is applied to forecast returns of the DAX30 stock market index, demonstrating better short-term prediction than single-process models.
Detailed Information
| Author: | ['Be Sau'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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