C-Ascending Support Vector Machines for Financial Time Series Forecasting
This paper proposes a modified version of support vector machines (SVMs), called c-ascending support vector machines (c-ASVMs), to model non-stationary financial time series. c-ASVMS are obtained by a simple modification of the regularized risk function in SVMs whereby the recent ?-insensitive error...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2003
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/2783 https://doi.org/10.1109/CIFER.2003.1196277 |
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| Institution: | Singapore Management University |
| Language: | English |