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information measures on daily realized volatility and select them by penalized regression. Then, we perform a forecasting exercise …
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readability of the news (i.e., the clarity with which the text is written, measured by the fog index) and the returns on Bitcoin …
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Using data on international, on-line media coverage and tone of the Brexit referendum, we test whether it is media coverage or tone to provide the largest forecasting performance improvements in the prediction of the conditional variance of weekly FTSE 100 stock returns. We find that versions of...
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The contributions of error distributions have been ignored while modeling stock market volatility in Nigeria and … studies have shown that the application of appropriate error distribution in volatility model enhances efficiency of the model … asymmetric volatility models each in Normal, Student's-t and generalized error distributions with the view to selecting the best …
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volatility index (VIX). I find a significant negative contemporaneous relationship between changes in VIX and both news sentiment … between previous and current period changes in implied volatility and stock returns, while current period and lagged news … strategy whereby high (low) levels of implied volatility signal attractive opportunities to take long (short) positions in the …
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