Portfolio management Statistics Project Example | Topics and Well Written Essays - 2250 words

Portfolio management - Statistics Project ExampleIn this project, the prices of the stocks provide the weights of the portfolios for all the stocks provided. The monthly returns for the stocks in the coronation pool argon calculated with the formula in equation 1 belowWhere xp is the monthly expected return, pi is the weight of the portfolio and n is the average number of assets. The values of count of the expected monthly returns are presented in the table 1 presented belowThe returns computed for the years of this study show the expected return increasing from left to castigate for all the stocks except IBM that drops at the end of the period within the time series. The stock returns values experience wide variance due to the fluctuation in portfolio weights across the period.The process of refining the investment involved ignoring the portfolio with low weights and retaining the game weight portfolio. The selection aimed at picking 3 stocks with the best returns to represent t he high efficiency required in the pool decision. The high efficiency stocks were found to be IBM and MMM. The decision was made on the values based on the current currency returns. The time series for the refined investment pool carries the following stockThe major reason for reducing the number of stocks in the refined investment is that many assets have caused a wide variation of the portfolio weights and return on investment (Tobin 1958, p. 65). The analysis sets up individual each of the assets independently to as to come apart them as either risky assets or risk free assets using the correlation projections. The refinement judges the investment by their return, hence it operates with the few selected doable stocks to reduce the portfolio size by ignoring the low return stocks.The tangent portfolio was constructed using the Matlab program. The program uses the data entries from the covariance matrix with the new weights of portfolios. The mean return values and the optimal p ortfolio