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Tracking activity in real time with Google Trends
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A machine learning approach to volatility forecasting
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Trade sentiment and the stock market
new evidence based on big data textual analysis of Chinese media -
Macroeconomic forecasting using factor models and machine learning
an application to Japan -
Segmentation of the housing market with internet data
evidence from Denmark -
Tracking activity in real time with Google Trends
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Early warning system for currency crises using long short-term memory and gated recurrent unit neural networks
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A deep learning approach to estimation of the Phillips curve in South Africa
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Forecasting economic activity using a neural network in uncertain times
Monte Carlo evidence and application to the German GDP -
Estructura temporal de tasas de interés y actividad económica en Venezuela
un enfoque de redes neuronales