Abstract
We investigate the impact of good and bad news on stock market volatility. To this end, we utilize a novel data set of banks’ buy and sell recommendations for the German DAX30 stock market index and estimate an EGARCH(1,1) model which features these recommendations as well as several other pertinent explanatory variables in the mean and variance equations. We find that in a rising market, buy recommendations lower the level of volatility and sell recommendations raise volatility, whereas the impact of news on stock market volatility is less clear-cut in a falling market.
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