Machine learning and big data in finance*
- 9 September 2026
- journal article
- other
- Published by Taylor & Francis in The European Journal of Finance
- p. 1-9
Abstract
1. Few areas of empirical economics have been transformed as rapidly as finance by the twin forces of machine learning (ML) and big data. Financial markets generate data of extraordinary volume, ve...Keywords
This publication has 34 references indexed in Scilit:
- Predicting corporate financial performance in the FMCG industry through machine learning: comparing mandatory and voluntary ESG disclosuresThe European Journal of Finance, 2025
- The impact of Bitcoin futures introduction on spot price crash riskThe European Journal of Finance, 2025
- On the transmission channels between bond and stock market volatilityThe European Journal of Finance, 2025
- Political connections and investment inefficiency: a machine learning approachThe European Journal of Finance, 2025
- Machine Learning in Finance2020
- DGM: A deep learning algorithm for solving partial differential equationsJournal of Computational Physics, 2018
- Exploiting the errors: A simple approach for improved volatility forecastingJournal of Econometrics, 2016
- Deep learningNature, 2015
- Random ForestsMachine Learning, 2001
- Forecasting crashes: trading volume, past returns, and conditional skewness in stock pricesJournal of Financial Economics, 2001