Big data/machine learning
- Dynamic Systemic Risk: Networks in Data ScienceSanjiv R. Das, Seoyoung Kim and Daniel N. OstrovThe Journal of Financial Data Science January 2019, 1 (1) 141-158; DOI: https://doi.org/10.3905/jfds.2019.1.1.141
- Rethinking Alternative Data in Institutional InvestmentAshby Monk, Marcel Prins and Dane RookThe Journal of Financial Data Science January 2019, 1 (1) 14-31; DOI: https://doi.org/10.3905/jfds.2019.1.1.014
- A Practical Approach to Advanced Text Mining in FinanceJulia Klevak, Joshua Livnat and Kate SuslavaThe Journal of Financial Data Science January 2019, 1 (1) 122-129; DOI: https://doi.org/10.3905/jfds.2019.1.1.122
- Fine-Tuning Private Equity Replication Using Textual AnalysisAnanth Madhavan and Aleksander SobczykThe Journal of Financial Data Science January 2019, 1 (1) 111-121; DOI: https://doi.org/10.3905/jfds.2019.1.1.111
- Equity Price Prediction with Neural Networks: Technical Analysis of the Italian MarketAngelo CorelliThe Journal of Wealth Management January 2019, 21 (4) 65-75; DOI: https://doi.org/10.3905/jwm.2019.21.4.065
- Agency MBS Prepayment Model Using Neural NetworksJiawei “David” Zhang, Xiaojian “Jan” Zhao, Joy Zhang, Fei Teng, Siyu Lin and Hongyuan “Henry” LiThe Journal of Structured Finance January 2019, 24 (4) 17-33; DOI: https://doi.org/10.3905/jsf.2019.24.4.017
- When Should Investors Short the Stocks of Acquiring Firms? Big-Data Insights from Joining CAR and EVA Style AnalysisAtreya Chakraborty, James L. Grant, Emery A. Trahan and Bhakti VarmaThe Journal of Investing January 2019, 28 (1) 17-29; DOI: https://doi.org/10.3905/joi.2019.28.1.017
- Improving Investment Operations through Data Science: A Case Study of Innovation in ValuationArthur Guimarães, Ashby Monk and Sidney PorterThe Journal of Portfolio Management October 2018, 45 (1) 125-140; DOI: https://doi.org/10.3905/jpm.2018.1.083
- Machine Learning for Algorithmic Trading and Trade Schedule OptimizationRobert Kissell and Jungsun “Sunny” BaeThe Journal of Trading October 2018, 13 (4) 138-147; DOI: https://doi.org/10.3905/jot.2018.13.4.138
- Machine Learning for Structured FinanceEric KolchinskyThe Journal of Structured Finance October 2018, 24 (3) 7-25; DOI: https://doi.org/10.3905/jsf.2018.24.3.007
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