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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 …
Persistent link: https://www.econbiz.de/10011964063
This paper investigates the direction of information flow between world stock markets during the recent financial crisis by conducting Granger causality tests in a three variables system. We employ daily rates of return for three representative stock market indices: S&P 500 for the US, BET-C for...
Persistent link: https://www.econbiz.de/10013147798
Through this research, we find that the asymmetric volatility phenomenon is reversed in the Shanghai Stock Exchange … during bull markets. That is, volatility increases more with good news than with bad news. This evidence is inconsistent with … the US markets. Further examination of this phenomenon reveals that the positive impact of good news on volatility is …
Persistent link: https://www.econbiz.de/10013060597
Recent advances in natural language processing have contributed to the development of market sentiment measures through text content analysis in news providers and social media. The effectiveness of these sentiment variables depends on the implemented techniques and the type of source on which...
Persistent link: https://www.econbiz.de/10012629835
Persistent link: https://www.econbiz.de/10014631496
The relationship between the level of stock market volatility and public information flow is non-linear, resembling a … bell-shaped function. Medium levels of information flow generate heightened volatility, whereas weak and strong information … realized GARCH model with time-varying intercept, measuring changes in the overall volatility level, which is governed by a new …
Persistent link: https://www.econbiz.de/10013228092
We use intraday stock index return data from both sides of the Atlantic during overlapping trading hours to analyze the dynamic interactions between European and US stock markets. We are particularly interested in differences of information transmission before, during, and after the financial...
Persistent link: https://www.econbiz.de/10010240602
With approximately 900 million observations we conduct, to our knowledge, the largest study ever of intraday stock return predictability using machine learning techniques finding consistent out-of-sample predictability across market, sector, and individual stock returns at various time horizons....
Persistent link: https://www.econbiz.de/10014349804
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 …
Persistent link: https://www.econbiz.de/10014440865
studyanalyzes the stock market volatility in three distinct regimes (accumulation or distri-bution - regime 1; big-move - regime 2 …
Persistent link: https://www.econbiz.de/10012513279