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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...
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We study the effect of COVID-19 containment measures on expected stock price volatility in some advanced economies …-month-ahead volatility indices dropped following announcements of initial or re-imposed lockdowns, and that they did not drop significantly … following the easing of lockdowns. Such patterns are not as strong for three-month-ahead expected volatility and generally …
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interventions, and stock market volatility, drawing upon an extended time period of one year, to independently test, confirm and … differences and similarities utilizing an asymmetric measure of volatility. We find that there are major differences between these …
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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 …
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