f beta measurements helps an investor in manipulating the portfolio in the changing economic times and ensures that investments patterns have higher probability of performance. The purpose of this study is to analyze use the study of portfolios, by learning their measurements, purposes, and methodologies to show how portfolios are instrumental in helping investors make informed investment decisions in the market.
The volatility of the stock market invites investors despite the daily, quarterly, and the annual dramatic occurrences at the stock market. The average return of a security describes the value of the volatility of the stock market. The volatility of the portfolios is measured by the daily, monthly, quarterly, and yearly standard deviations. The standard deviations also show price variations, in the sense that when the prices are pooled together, the standard deviation tends to be very small and the reverse is true when the prices are spread apart.
In the events of securities, when the standard deviations are higher, there is a greater dispersion of the returns and the risks associated with the investments are high. The risks that are created through the analysis of the daily, monthly, quarterly, or yearly averages, returns, and other measures of dispersions, are based on the degree of these analyses averages. As the chances of the expected returns lowers, the riskiness of the investments increases. According to the daily, monthly, and yearly average return, standard deviation, covariance, and correlation analysis it is clear that there is a strong link between the portfolio volatility and the stock market performances.
In the analysis sheet 1, the stock portfolios of EQR, PSA, QEM, SPG, and VNQ represents the stock fluctuations that depends on volatility. A sample of the sheet1 is shown below. As shown in the table below, when the average daily range in the S&P 500 Index is low (the first quartile 0 to 1%) the odds are high (about 70% monthly and 91%