Forecasting stock prices using hidden Markov models and support vector regression with firefly algorithm
Many models have been proposed for forecasting stock prices. One is the Autoregressive Integrated Moving Average (ARIMA) model which is extensively used in the fields of economics and finance (Ariyo et al., 2014). In the Philippines, the Philippine Stock Exchange (PSE) forecasts future stock price m...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2016
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/18393 |
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| Institution: | De La Salle University |
| Language: | English |