Skip to main content
AI × Quant × TradingFoundations US$99 · Signals US$1,299 · AI Live US$5,980 · partner institution employees firstView →
arXiv q-fin· Adi Tarabeih·· 5 hr agoAI Score48

Prospect Theory in Large Language Models: A Meta-Analysis of Loss Aversion, Diminishing Sensitivity, and Probability Weighting

Prospect Theory in Large Language Models: A Meta-Analysis of Loss Aversion, Diminishing Sensitivity, and Probability Weighting

AI summary

A meta-analysis of 102 fitted estimates across 11 studies covering 32 LLMs shows low loss aversion, with a pooled λ of 1.26, far below the strongest human meta-analytic estimate of 1.96. Diminishing sensitivity of the value function varies by measurement method, but probability weighting exhibits a human-like inverse-S shape.

Source:arXiv q-fin · arxiv.org

Next steps

Research Column: Backtesting and ValidationWhy backtests look good but fail in live trading, and how to conduct out-of-sample testing.WeChat Community and Contact InformationView official contact details; QR codes will be displayed on the About page once available.Prefer English? Get the research briefing by emailRegister your interest in English research updates on our website.