- Investment performance and market share : a study of the German mutual fund industry (2006)
- We study a set of German open-end mutual funds for a time period during which this industry emerged from its infancy. In those years, the distribution channel for mutual funds was dominated by the brick-and-mortar retail networks of the large universal banks. Using monthly observations from 12/1986 through 12/1998, we investigate if cross-sectional return differences across mutual funds affect their market shares. Although such a causal relation has been established in highly competitive markets, such as the United States, the rigid distribution system in place in Germany at the time may have caused retail performance and investment performance to uncouple. In fact, although we observe stark differences in investment performance across mutual funds (and over time), we find no evidence that cross-sectional performance differences affect the market shares of these funds. Klassifikation: G 23
- Performance and market share: evidence from the German mutual fund industry (1997)
- In this paper we analyze the relation between fund performance and market share. Using three performance measures we first establish that significant differences in the risk-adjusted returns of the funds in the sample exist. Thus, investors may react to past fund performance when making their investment decisions. We estimated a model relating past performance to changes in market share and found that past performance has a significant positive effect on market share. The results of a specification test indicate that investors react to risk-adjusted returns rather than to raw returns. This suggests that investors may be more sophisticated than is often assumed.
- Messung individueller Risikoeinstellungen (1997)
- Es werden verschiedene Methoden zur Messung der Risikoeinstellung einzelner Individuen vorgestellt und kritisch diskutiert. Berücksichtigt werden unter anderem Selbsteinschätzungen und experimentell orientierte Verfahren. Die Zusammenstellung wendet sich insbesondere an Wissenschaftler und Praktiker, die nach anwendbaren Verfahren zur Risikoeinstellungsmessung suchen.