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For private investors it is imperative to a) understand and define their own, individual risk preferences, b) assess their financial and demographic circumstances to determine the individual risk-taking potential, and c) form and maintain a well-diversified risky portfolio. The three chapters of my thesis each match one of these three tasks. \\ \noindent The first chapter of my thesis presents novel experimental evidence to test the existence of a potential projection bias in loss aversion, a significant determinant of investor preferences, thus matching task a). The second chapter is devoted to the determination of private investors' risk-taking potential based on their financial and socio-demographic circumstances, matching task b): In a large portfolio experiment, we examine the ability and heterogeneity of lay and professional advisors in matching investor demographics, such as age and income, with risky asset portfolio shares. The third and final chapter addresses the question on how to reach and maintain an efficient risky portfolio, therefore matching task c): It analyzes a decision support system for private investors that allows its users to simulate any arbitrary set of securities, and by reporting aggregated expected return and risk, to optimize their current portfolio.
In total, this dissertation comprises three research papers. Objective of all of these papers are to detect mistakes of private investors when conducting mutual funds investments and to analyze the implications. Moreover, the question is addressed whether financial advisors help private investors to avoid these investment mistakes. All three research papers use the same data base which has been provided by a German online brokerage house. The detailed data set allows contributing to existing literature on mutual fund investments, smart decision making, household finance as well as financial advice on an investor- and transaction-specific level. The first paper addresses the question which particular decision criteria private investors use when purchasing mutual funds. It can be shown that funds volume is the dominating decision criterion, whereas historical performance is only of minor importance. As performance persistence exists in the underlying data set, it can be concluded that the majority of investors make investment mistakes. In the second paper it is shown that smart investors, i.e. investors who purchase mutual funds by chasing historical performance, are older, wealthier, more experienced and less likely to be overconfident. In addition, it can be verified that there exists a positive impact of the ability to select mutual funds by chasing historical performance on the overall investment success. Hence, the quality of mutual fund selection ability is an ex-ante measure for investment success. Finally, the third paper analyzes the influence of financial advice on mutual fund decision making of private investments. Evidence can be provided that financial advisors do not help their customers to purchase mutual funds by chasing historical performance. In fact, advisors recommend high-volume mutual funds from well-known fund families. Apparently, financial advisors are much more salesmen than real advisors. These results hold when controlling for potential endogeneity issues.