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 …

This paper documents that ECB announcements increase the stock market volatility in the euro area (EA) on the same day …. I consider two volatility measures from January 1998 to May 2019. First, a realized volatility measure uses intraday … data for 8 different stock market indices. Second, a range measure approximates volatility using daily prices from 11 …

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. …

Purpose: This paper aims to analyze the impact of Covid-19 on the stock market volatility and uncertainty during the … stock market volatility and uncertainty. … average models using daily data of confirmed and death cases of Covid-19, US S&P 500, volatility index, economic policy …