expectation dispersion and economic uncertainty for the stock-market reaction to indicator releases. We find that the strength of …. Uncertainty, in contrast, increases the response. We rationalize our findings in a model of imperfect information. In the model … content of indicators, while higher fundamental uncertainty makes this informational content more valuable. …

of long-term stock market volatility. When long-term volatility is high, stock returns are more sensitive to news, and …-linear present value framework with a two-component volatility model for the conditional variance of cash flow news and allowing for … volatility feedback. In our model, innovations to the long-term volatility component are the most important driver of discount …

firm-specific information. In addition, we use various ARCH-type models to capture changes in systematic risk. The results … led to changes in both short-term and long-term systematic risk. …

expectation dispersion and economic uncertainty for the stock-market reaction to indicator releases. We find that the strength of …. Uncertainty, in contrast, increases the response. We rationalize our findings in a model of imperfect information. In the model … content of indicators, while higher fundamental uncertainty makes this informational content more valuable. …

expectation dispersion and economic uncertainty for the stock-market reaction to indicator releases. We find that the strength of …. Uncertainty, in contrast, increases the response. We rationalize our findings in a model of imperfect information. In the model … content of indicators, while higher fundamental uncertainty makes this informational content more valuable. …

In the paper we present the application of risk neutral measure estimation in the analysis of the index WIG20 from … Polish stock market. The risk neutral measure is calculated from the process of the options on that index. We assume that … risk neutral measure is the mixture of lognormal distributions. The parameters of the distributions are estimated by …

volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main … nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH …]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper …

volatility series are being tested for significant reactions to the Brexit event. The results indicate mixed results regarding … the abnormal cumulative return series, but the volatility series were found to be significantly affected by the mentioned … political and economic events in order to tailor international portfolios in a way to hedge from risk. …

. Announcements of both institutes are also clearly and immediately reflected in the volatility, which remains at a significantly … higher level for approximately two minutes slightly elevated for approximately 15 minutes. Combining returns and volatility … in a GARCH(1,1)-model, the paper reveals that significant increases in volatility only show up in the presence of …