Portfolio Analysis Essay Example | Topics and Well Written Essays - 1250 words

Portfolio Analysis - Essay ExampleThe indifference curve can be used to reflect investor attitude or risk by refloating an investors preference. The plot of many indifference curves shows the different options that an investor would set out. However, from the indifference single-valued function, the best option is to take the option that is highest that any other indifference curve. b. Selection of a suitable portfolio Indifference curves are not just used to display the risk disgust factors of an investor in fact, the indifference curve can be used to select a suitable portfolio in terms of risk and return (Yin and Zhou, 2004). As already stated, the indifference curve is a plot of the risk and return preferences of an investor, therefore, to select the most suitable portfolio, an investor can utilize the mean-variance theory. The mean-variance theory of portfolio selection is derived from the indifference curve, where the map of the different indifference curves for an investor is plotted together (Maharakkhaka, 2011). From the plot of the indifference curves, the transitive preferences of an investor can be determined, which refers to the selection of the best preference curve as chosen by an investor. From an analysis of the transitive preferences, it is evident that the highest preference curve is the one that should be selected by the investor. From the indifference curve, the investor can determine the highest possible indifference curve, which, have with the other indifference curves, gives the mean-variance portfolio or the most efficient portfolio in an investment. 2. Correlation and Co-variance a. Correlation and Co-variance The race between two variables can be measured or determined in different ways, but the commonest way is the determination of the correlation and covariance of the two variables. A number of variables are or sotimes related in some way or another, either the occurrence of one variable affects the occurrence of the other v ariable, or the does not affect the working of the other variable. The covariance refers to the type of relationship that two variables have, meaning that it shows whether two variables have a confirmatory or negative relationship. In this case, a positive relationship refers to the fact that one variable moves in the same direction as the other variable. Conversely, the correlation between two variables incorporates another dimension, the extent to which two variables are related. In addition to the covariance tilt of determining whether variables are positively or inversely related, the correlation also shows the extent to which the variables are inversely or positively related. b. Covariance, Correlation, and Portfolio risk As already stated, the correlation between two variables is determined by the movement of one variable in relation to the movement of the other variable. In the investment market, diversification is a good practice, since it ensures that an investor does no t lose an investment in case of a catastrophe or loss in market value. A positive correlation between assets means that one asset will move in the exact same way as another asset. In investment, stocks with pocket-sized or negative correlation are used to reduce portfolio risk since when one asset falls the other asset