Finance

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.