Overview
Finance research examines how assets are priced, risks measured, and capital allocated across markets, firms, households, and institutions. It combines econometrics and factor models with machine learning, time-series and graph models, reinforcement learning, and language-model tools for news, filings, and financial workflows. Applications range from return forecasting and portfolio construction to credit assessment, fraud detection, market microstructure, and automated financial agents. A central challenge is whether apparent gains survive point-in-time testing, transaction costs, regime shifts, and independent audits, so realistic benchmarks, calibration, and explainability are increasingly important alongside performance.
Latest papers
281 papers10 papers in the last four weeks, down 52% on the four weeks before. 0.1% of all new papers.