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- Application of artificial intelligence and large language models in finance and trading
48 Selected AI Quantitative Finance Papers in 2024: Key Highlights & Interpretations As a year-end benefit for TheQuantHackers, in this summary, we have included a total of 48 (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. 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 gain economic insights 7. Incorporating machine learning into the Markowitz portfolio selection paradigm 8. The “mixing effect” of multi-tasking fine-tuning: taking finance as a case study 9. Missing and real-time financial data inference based on spatiotemporal diffusion model 10. “Simulation and Optimization”: Double-tier mortgage simulator to design new assistance products 11. XGBoost binary…
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