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Nowcasting of the U.S. unemployment rate using Google Trends
8 references·6 citing·45 second hop
Nowcasting of the U.S. unemployment rate using Google Trends (2019)Nowcasting of the U.S. unemployment rate …The predictive power of Google searches in forecasting US unemployment (2017)The predictive power of Googl…Google search intensity and its relationship to the returns and liquidity of Japanese startup stocks (2017)Google search intensity and i…Google search intensity and its relationship with returns and trading volume of Japanese stocks (2014)Google search intensity and i…In Search of Attention (2011)In Search of AttentionGoogle Econometrics and Unemployment Forecasting (2009)Google Econometrics and Unemp…The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks (2005)The Stock Market's Reaction t…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyArtificial intelligence and unemployment in high-tech developed countries: New insights from dynamic panel data model (2023)Artificial intelligence and u…Assessing the influence of news indicator on volatility of precious metals prices through GARCH-MIDAS model: A comparative study of pre and during COVID-19 period (2022)Assessing the influence of ne…The impact of COVID ‐19 on unemployment rate: An intelligent based unemployment rate prediction in selected countries of Europe (2021)The impact of COVID ‐19 on un…Employing Google Trends and Deep Learning in Forecasting Financial Market Turbulence (2021)Employing Google Trends and D…A Twitter-Lived Red Tide Crisis on Chiloé Island, Chile: What Can Be Obtained for Social-Ecological Research through Social Media Analysis? 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this work references cited by second hop

References

  • 1994Comparing Predictive Accuracy5,495 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 2011In Search of Attention3,088 cited
  • 2005The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks793 cited
  • 2009Google Econometrics and Unemployment Forecasting439 cited
  • 2017The predictive power of Google searches in forecasting US unemployment241 cited
  • 2014Google search intensity and its relationship with returns and trading volume of Japanese stocks177 cited
  • 2017Google search intensity and its relationship to the returns and liquidity of Japanese startup stocks61 cited

Cited by

  • 2023Artificial intelligence and unemployment in high-tech developed countries: New insights from dynamic panel data model78 cited
  • 2021The impact of COVID ‐19 on unemployment rate: An intelligent based unemployment rate prediction in selected countries of Europe67 cited
  • 2019Google trends and the predictability of precious metals48 cited
  • 2021Employing Google Trends and Deep Learning in Forecasting Financial Market Turbulence40 cited
  • 2022Assessing the influence of news indicator on volatility of precious metals prices through GARCH-MIDAS model: A comparative study of pre and during COVID-19 period23 cited
  • 2020A Twitter-Lived Red Tide Crisis on Chiloé Island, Chile: What Can Be Obtained for Social-Ecological Research through Social Media Analysis?

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15 cited