Research Article
An Approach for a Multi-Period Portfolio Selection Problem by considering Transaction Costs and Prediction on the Stock Market
Table 1
Sets, parameters, and variables for the first proposed model.
| | | Description |
| | Set | | | | Available stocks to be included in portfolio. | | Parameter | | | | Number of companies | | | Standard deviation of the return’s stock . | | | Covariance between stock i and stock | | | Future predicted price of the stock for the next week. | | | Current price of Stock . | | | Expected return for stock . | | | Number of stocks to be included | | | Risk free rate | | | Available budget | | | Beta value of stock . | | | Covariance between stock and the market. | | | Market return variance | | | Minimum trade amount | | | Transaction cost of the trade amount | | | Minimum weight to invest on stock | | | Maximum weight to invest on stock | | Variable | | | | Portfolio Sharpe ratio | | | Portfolio Treynor ratio | | | Stock to hold until the next week. | | | Percentage to be invested in each stock . | | | | | | Portfolio expected return | | | Portfolio standard deviation | | | Systematic risk | | | Total investment on the portfolio |
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