#2927. Time series modelling, NARX neural network and hybrid KPCA–SVR approach to forecast the foreign exchange market in Mauritius
March 2027 | publication date |
Proposal available till | 30-05-2025 |
4 total number of authors per manuscript | 5500 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Economics, Econometrics and Finance (all);
Business, Management and Accounting (all); |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
Abstract:
The article analyzes the time series model, artificial neural networks (ANN) and statistical topologies for studying volatility and forecasting foreign exchange rates. The results show that the GARCH model performs better in terms of clustering and volatility prediction compared to the ARIMA model.
Keywords:
Artificial intelligence; Forex market; Time series model
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