Zugl.: Trier, Univ., Diss., 2007

Zugl.: Trier, Universiẗat, Diss., 2007.

Master-Arbeit Univ. St. Gallen, 2009.

Master-Arbeit Univ. St. Gallen, 2009.

Master-Arbeit Univ. St. Gallen, 2007.

Master-Arbeit Univ. St. Gallen, 2008.

The theoretical part focuses on creating a basic comprehensive overview related to the functioning of financial markets. This is then supplemented with essential facts that are focused on investing in mutual funds, investment risk, volatility and other important factors that form the information basis for every investor. In the practical part, they are composed on the basis of the investment portfolio used by a virtual portfolio approach to investing. These portfolios are based on real data and the amount of one million crowns is placed in a model investment in both portfolios. Individual mutual funds are analyzed both individually and in relation to the portfolio they belong to. To create relevant and quantifiable conclusions, elements of technical analysis indicators in the form of beta coefficient of determination and CAPM (Capital Asset Pricing Model) are used. The final part consists of a unique model that compares and consequently clearly demonstrates the difference in the effectiveness of the implementation of regular investments compared to a single one within the both created investment portfolios.

No description available.

No description available.

This dissertation mainly explores the effect of investor sentiment on stock returns and volatility on Growth Enterprise in China using monthly data from Shenzhen Stock Exchange of China from June 2010 to November 2019. Using five explicit and market-related implicit indicators an investor sentiment has been measured and constructed with the help of principal component analysis. The analysis has been done by employing a vector autoregression(VAR) model and impulse response functions (IRFs) generated from a VAR model to examine the relationship between the unanticipated changes in investor sentiment and stock returns and volatility. We also establish EGARCH model to test the validity of previous results and if the asymmetric impact of positive and negative news on market returns volatility. The results show a significant impact of investor sentiment on stock return and volatility. We also document that there is a positive leverage effect between investor sentiment and the volatility of returns. The findings of this paper can help both individual and institutional investors have a better understanding of GEM market and improve their investment returns by incorporating investor sentiment into their asset forecasting model. This paper also provides policymakers guidance on reducing volatility on stock markets from the perspective of investor sentiment. Additionally, this paper has important contributions to behavioral finance and adds to the limited number of studies on investor sentiment and stock return in not only the Chinese market but emerging markets.