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10.1016/j.irfa.2020.101546 http://scihub22266oqcxt.onion/10.1016/j.irfa.2020.101546 C7322492!7322492!38620444     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       ä-/-ä 2020 ; 71 (ä): 101546 Nephropedia Template TP {{tp|p=38620444|t=2020. Predicting stock returns in the presence of COVID-19 pandemic: The role of health news |pdf=|usr=}}{{38620444}} gab.com Text Predicting stock returns in the presence of COVID-19 pandemic: The role of health news JO: ä-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=38620444 #FOAvip This study derives its motivation from the current global pandemic, COVID-19, to evaluate the relevance of health-news trends in the predictability of stock returns. We demonstrate this by using data covering top-20 worst-hit countries, distinctly in terms of reported cases and deaths. The results reveal that the model that incorporates health-news index outperforms the benchmark historical average model, indicating the significance of health news searches as a good predictor of stock returns since the emergence of the pandemic. We also find that accounting for ?asymmetry? effect, adjusting for macroeconomic factors and incorporating financial news improve the forecast performance of the health news-based model. These results are consistently robust to data sample (both for the in-sample and out-of-sample forecast periods), outliers and heterogeneity. Twit Text FOAVip Predicting stock returns in the presence of COVID-19 pandemic: The role of health news ????ä-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=38620444 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=38620444 #FOAvip English Wikipedia <ref>{{Cite pmid|38620444}}</ref> Predicting stock returns in the presence of COVID-19 pandemic: The role of health news #MMPMID38620444 Salisu AA; Vo XV ä-/-ä 2020[Oct]; 71 (ä): 101546 PMID38620444show ga This study derives its motivation from the current global pandemic, COVID-19, to evaluate the relevance of health-news trends in the predictability of stock returns. We demonstrate this by using data covering top-20 worst-hit countries, distinctly in terms of reported cases and deaths. The results reveal that the model that incorporates health-news index outperforms the benchmark historical average model, indicating the significance of health news searches as a good predictor of stock returns since the emergence of the pandemic. We also find that accounting for ?asymmetry? effect, adjusting for macroeconomic factors and incorporating financial news improve the forecast performance of the health news-based model. These results are consistently robust to data sample (both for the in-sample and out-of-sample forecast periods), outliers and heterogeneity. äPredicting stock returns in the presence of COVID-19 pandemic: The rol(epmc).pdf DeepDyve Pubget Overpricing