Ucfe: A user-centric financial expertise benchmark for large language models
This paper introduces the UCFE: User-Centric Financial Expertise benchmark, an innovative
framework designed to evaluate the ability of large language models (LLMs) to handle …
framework designed to evaluate the ability of large language models (LLMs) to handle …
Simulating financial market via large language model based agents
S Gao, Y Wen, M Zhu, J Wei, Y Cheng, Q Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Most economic theories typically assume that financial market participants are fully rational
individuals and use mathematical models to simulate human behavior in financial markets …
individuals and use mathematical models to simulate human behavior in financial markets …
Large language models and sentiment analysis in financial markets: A review, datasets and case study
This paper comprehensively examines Large Language Models (LLMs) in sentiment
analysis, specifically focusing on financial markets and exploring the correlation between …
analysis, specifically focusing on financial markets and exploring the correlation between …
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges
Recent advances in large language models (LLMs) have unlocked novel opportunities for
machine learning applications in the financial domain. These models have demonstrated …
machine learning applications in the financial domain. These models have demonstrated …
Stocktime: A time series specialized large language model architecture for stock price prediction
The stock price prediction task holds a significant role in the financial domain and has been
studied for a long time. Recently, large language models (LLMs) have brought new ways to …
studied for a long time. Recently, large language models (LLMs) have brought new ways to …
AI in Investment Analysis: LLMs for Equity Stock Ratings
Investment Analysis is a cornerstone of the Financial Services industry. The rapid integration
of advanced machine learning techniques, particularly Large Language Models (LLMs) …
of advanced machine learning techniques, particularly Large Language Models (LLMs) …
Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models
Predicting financial markets and stock price movements requires analyzing a company's
performance, historic price movements, industry-specific events alongside the influence of …
performance, historic price movements, industry-specific events alongside the influence of …
Generating long-horizon stock" buy" signals with a neural language model
JR Bock - arxiv preprint arxiv:2410.18988, 2024 - arxiv.org
This paper describes experiments on fine-tuning a small language model to generate
forecasts of long-horizon stock price movements. Inputs to the model are narrative text from …
forecasts of long-horizon stock price movements. Inputs to the model are narrative text from …
Generative AI Solutions to Empower Financial Firms
The advent of Generative AI (GenAI) has caused consternation across the industrial
landscape. The financial industry is no exception. The scramble to find GenAI solutions in …
landscape. The financial industry is no exception. The scramble to find GenAI solutions in …
Generating long-horizon stock
JR Bock - Available at SSRN 5027900, 2024 - papers.ssrn.com
This paper describes experiments on fine-tuning a small language model to generate
forecasts of long-horizon stock price movements. Inputs to the model are narrative text from …
forecasts of long-horizon stock price movements. Inputs to the model are narrative text from …