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UID:20251113T113232EST-8095kJiMOi@132.216.98.100
DTSTAMP:20251113T163232Z
DESCRIPTION:When LLMs Go Abroad: Foreign Bias in AI Financial Predictions\n
 \nPresented by Prof. Charles C.Y. Wang\n\nTandon Family Professor of Busin
 ess Administration at Harvard Business School\n\nDate: Friday\, December 1
 9\, 2025\n	Time: 10:30 AM – 12:00 pm\n	Location: Bronfman Building\, Room 24
 5\n\nAll are cordially invited to attend.\n\n\nAbstract: \n\nWe document f
 oreign biases in AI-generated financial predictions: ChatGPT (US-based) is
  systematically more optimistic about Chinese firms than DeepSeek (China-b
 ased)\, predicting higher end-of-year stock prices and generating more buy
  recommendations. This AI-specific phenomenon contradicts the traditional 
 home bias in which investors favor domestic assets. We trace this bias to 
 differential information access: ChatGPT's optimism increases when US medi
 a coverage of Chinese firms' negative news is scarce relative to Chinese m
 edia. Supporting this mechanism\, placebo tests with synthetic Chinese fir
 ms without such asymmetries show no prediction gap between models. Crucial
 ly\, providing ChatGPT with Chinese news through prompts-which cannot alte
 r model weights-completely eliminates the prediction gap\, demonstrating t
 hat the bias stems from missing training data. Our findings imply that the
  parallel development of LLMs in different countries can create divergent 
 financial forecasts\, potentially amplifying rather than reducing cross-bo
 rder information asymmetries as these tools shape investment decisions glo
 bally.\n
DTSTART:20251219T153000Z
DTEND:20251219T170000Z
LOCATION:Room 245\, Bronfman Building\, CA\, QC\, Montreal\, H3A 1G5\, 1001
  rue Sherbrooke Ouest
SUMMARY:Workshop Series: Accounting Area Speaker Prof. Charles C.Y. Wang
URL:/desautels/channels/event/workshop-series-accounti
 ng-area-speaker-prof-charles-cy-wang-368878
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