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Comparing the great recession and COVID-19 using Long Short-Term Memory: A close look into agricultural commodity prices

By: Contributor(s): Material type: TextTextPublication details: Applied Economic Perspectives and Policy; 2024Description: 1406-1428ISSN:
  • 2040-5804
Subject(s): Online resources: Summary: We employ a neural network (NN) approach - Long Short-Term Memory (LSTM) - to study agricultural commodity prices during the 2008 Great Recession and the COVID-19 recession. Our analysis reveals more structural breaks and higher volatility in plant-based
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Article Index Article Index Dr VKRV Rao Library Vol. 46, No. 4 Not for loan AI1082

We employ a neural network (NN) approach - Long Short-Term Memory (LSTM) - to study agricultural commodity prices during the 2008 Great Recession and the COVID-19 recession. Our analysis reveals more structural breaks and higher volatility in plant-based

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