- Application of artificial intelligence and large language models in finance and trading
End of the year benefits! 48 selected AI quantification papers in 2024|With interpretation of the highlightsAs a year-end benefit for TheQuantHackers, in this summary, we have included a total of 41 (selected and extended reading) cutting-edge research results in the field of quantitative finance. The papers cover diverse topics ranging from equities, FX, commodities, fixed income and credit markets to portfolio optimization, market forecasting, derivatives modeling, macroeconomic and geopolitical risk, and cryptocurrencies and DeFi. What is particularly noteworthy is that more and more work is introducing artificial intelligence (AI) and large language models (LLMs) into financial analysis and transactions, which not only improves the accuracy and efficiency of prediction and evaluation, but also provides new ideas for strategy formulation, investment decision-making and risk management. Directory - Application of artificial intelligence and large language models in finance and trading 1. Extension of core profit measurement based on large language model 2. Use autoencoders to achieve risk-neutral modeling of interest rate curves 3. Application and benchmarking of large language models in finance and investment management 4. Discover new financial price jump categories using the “wavelet riding” method 5. Model news interactions and impacts to predict financial markets 6. Harnessing generative AI to…
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