Does Finance Benefit Society? A Language Embedding Approach
Автор: Swedish House of Finance
Загружено: 2022-09-02
Просмотров: 496
#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.
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