Resolving a portfolio optimization problem with investment timing through using the analytic hierarchy process, support vector regression and a genetic algorithm
In the field of financial investment, investing in stocks is relatively easy compared to other investment commodities, since making a profit through buying a stock at a low price and selling it at a higher price is intuitive. However, it is really challenging work for an investor to choose stocks wh...
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| Format: | Article |
| Language: | English |
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Springer
2018-01-01
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| Series: | International Journal of Computational Intelligence Systems |
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| Online Access: | https://www.atlantis-press.com/article/25895957/view |