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Google trends and the predictability of precious metals
16 references·2 citing·40 second hop
Google trends and the predictability of precious metals (2019)Google trends and the predictability of p…Predicting the direction of stock markets using optimized neural networks with Google Trends (2018)Predicting the direction of s…The predictive power of Google searches in forecasting US unemployment (2017)The predictive power of Googl…Google searches and stock returns (2016)Google searches and stock ret…Stock return forecasting: Some new evidence (2015)Stock return forecasting: Som…Testing for Predictability in Conditionally Heteroskedastic Stock Returns (2014)Testing for Predictability in…Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework (2014)Modelling Asymmetric Cointegr…Has oil price predicted stock returns for over a century? (2014)Has oil price predicted stock…Google search intensity and its relationship with returns and trading volume of Japanese stocks (2014)Google search intensity and i…Festschrift in Honor of Peter Schmidt (2014)Festschrift in Honor of Peter…Modelling oil price volatility with structural breaks (2012)Modelling oil price volatilit…Does the choice of estimator matter when forecasting returns? (2012)Does the choice of estimator …A new unit root test with two structural breaks in level and slope at unknown time (2010)A new unit root test with two…Approximately normal tests for equal predictive accuracy in nested models (2006)Approximately normal tests fo…Continuous Auctions and Insider Trading (1985)Continuous Auctions and Insid…Bid, ask and transaction prices in a specialist market with heterogeneously informed traders (1985)Bid, ask and transaction pric…The Only Game in Town (1971)The Only Game in TownPlatinum and palladium price forecasting through neural networks (2024)Platinum and palladium price …China futures price forecasting based on online search and information transfer (2022)China futures price forecasti…Prospect Theory: An Analysis of Decision under Risk (1979)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Prospect theory: An analysis of decision under risk (1988)Public debt and growth: Heterogeneity and non-linearity (2015)Environmental degradation in France: The effects of FDI, financial development, and energy innovations (2018)Linking economic globalization, economic growth, financial development, and ecological footprint: Evidence from symmetric and asymmetric ARDL (2020)Trends and random walks in macroeconmic time series (1982)The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis (1989)Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis (2002)The dynamic links between energy consumption, economic growth, financial development and trade in China: Fresh evidence from multivariate framework analysis (2013)The impact of economic complexity on carbon emissions: evidence from France (2017)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Investor Psychology and Security Market Under‐ and Overreactions (1998)Illiquidity and stock returns: cross-section and time-series effects (2002)Market Liquidity and Funding Liquidity (2008)A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets (1999)Predicting returns with financial ratios (2004)Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average? (2007)Revisiting the oil price and stock market nexus: A nonlinear Panel ARDL approach (2017)Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence (2018)Impact of the COVID-19 Pandemic on the Crude Oil and Stock Markets in the US: A Time-Varying Analysis (2020)The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors (1988)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Can economic policy uncertainty predict stock returns? Global evidence (2018)Japanese currency and stock market—What happened during the COVID-19 pandemic? (2020)Dividend yields and expected stock returns (1988)Comparing Predictive Accuracy (1994)Macroeconomic Forecasting Using Diffusion Indexes (2002)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)Investor Sentiment Aligned: A Powerful Predictor of Stock Returns (2014)Policy Uncertainty and Corporate Investment (2015)A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets (1990)No Single Currency Regime is Right for All Countries or At All Times (1999)Liquidity and Asset Prices (2006)Noise Trader Risk in Financial Markets (1990)Quantile cointegration in the autoregressive distributed-lag modeling framework (2015)Renewable energy consumption and economic growth nexus: Evidence from a threshold model (2020)
this work references cited by second hop

References

  • 1985Continuous Auctions and Insider Trading9,626 cited
  • 1985Bid, ask and transaction prices in a specialist market with heterogeneously informed traders6,132 cited
  • 2014Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework3,694 cited
  • 2006Approximately normal tests for equal predictive accuracy in nested models2,513 cited
  • 1971The Only Game in Town855 cited
  • 2010A new unit root test with two structural breaks in level and slope at unknown time725 cited
  • 2014Festschrift in Honor of Peter Schmidt579 cited
  • 2014Has oil price predicted stock returns for over a century?351 cited
  • 2014Testing for Predictability in Conditionally Heteroskedastic Stock Returns284 cited
  • 2012Does the choice of estimator matter when forecasting returns?265 cited
  • 2017The predictive power of Google searches in forecasting US unemployment241 cited
  • 2016Google searches and stock returns239 cited
  • 2015Stock return forecasting: Some new evidence217 cited
  • 2018Predicting the direction of stock markets using optimized neural networks with Google Trends201 cited
  • 2012Modelling oil price volatility with structural breaks183 cited

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  • 2014Google search intensity and its relationship with returns and trading volume of Japanese stocks177 cited
  • Cited by

    • 2024Platinum and palladium price forecasting through neural networks42 cited
    • 2022China futures price forecasting based on online search and information transfer37 cited