Does Finance Benefit Society? A Language Embedding Approach
#artificialintelligence #machinelearning #finance #research
Presenter :Asaf Manela, Washington University in St. Louis
Discussant: Alejandro Lopez-Lira, University of Florida
Abstract:
We measure popular sentiment toward finance using a computational linguistics approach applied to millions of books published in eight countries over hundreds of years. We document persistent differences in finance sentiment across countries despite ample time-series variation. Books written in the languages of more capitalist countries discuss finance in a more positive context. Finance sentiment declines one year before rather than after financial crises. Positive shocks to finance sentiment lead to greater output and credit growth.
Видео Does Finance Benefit Society? A Language Embedding Approach канала Swedish House of Finance
Presenter :Asaf Manela, Washington University in St. Louis
Discussant: Alejandro Lopez-Lira, University of Florida
Abstract:
We measure popular sentiment toward finance using a computational linguistics approach applied to millions of books published in eight countries over hundreds of years. We document persistent differences in finance sentiment across countries despite ample time-series variation. Books written in the languages of more capitalist countries discuss finance in a more positive context. Finance sentiment declines one year before rather than after financial crises. Positive shocks to finance sentiment lead to greater output and credit growth.
Видео Does Finance Benefit Society? A Language Embedding Approach канала Swedish House of Finance
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2 сентября 2022 г. 13:06:16
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