Mutual Fund Performance Analysis and Investors Investing Behavior in Mutual Fund: A Case Study of Mutual Fund Industry of Pakistan

Abstract

Mutual Fund is a tremendous investment choice for small investors in the modern day investment paradigm. Mutual Fund provides an opportunity to small investors who have not any information, skills, or knowledge of investing in capital market. The study aims to analyze the performance of mutual Funds industry and mutual fund investors investing behavior in Pakistan. This research uses monthly data of all Open Ended Mutual funds from 2009 to 2014 for generating risk adjusted return through CAPM, Fama French three factors and Carhart four factor models. Ten different portfolios of mutual funds have been generated ranging from low performer to top performer in order to understand their performance to market return. The mutual fund risk adjusted return generated through testing these three models. GRS test has been applied to find which model among the three a better model is to predicts and explain mutual fund performance in Pakistan. The GRS test revealed that CAPM is the preferred model as it better predicts the mutual fund performance in Pakistan. The annual data of 45 mutual funds characteristics such as Fund size, Fund cash flow, Fund family, Expense ratio, Fund age and fund liquidity has been collected to find their impact on risk adjusted return of funds. The results reveal that fund liquidity and fund family have negative impact on fund performance, whereas fund age, expense ratio, fund cash flow and fund size showing positive impact on fund performance. The results also report persistence in most of Pakistani mutual funds. The results indicate that past performer funds owe performing better presently due to the significance of the lagged alpha in regression. The investors investing behavior of 230 funds investors in mutual fund are analyzed through Descriptive analysis using Tables, Percentages and accumulative percentages and for robustness of the results multinomial logistic regression is used in two ways i.e. to show the relationship between non-matric dependent variable and matric or categorical independent variables and to show the relationship between funds factors which affect the decision making of the mutual fund investors as categorical independent variables and the types of investors as categorical dependent variable. The results indicate that most of the mutual fund factors showing significant chi-value of relationship which confirms that all twelve funds factors truly affect the decision making of the mutual fund investors. The results can be very vital for the assets management companies in their decision making.