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September 10, 2025

Mapping Machine Learning Research Networks in Financial Risk Prediction

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Authors

CCCosmin CojocaruSISorin Ionescu

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Overview

Bibliometric analysis reveals shifts towards machine learning in financial risk prediction, suggesting evolving methodologies and regulatory focus.

Key Points

  • Findings indicate that classical models still dominate, yet machine learning methods show growing usage in risk estimation.
  • The research highlights a significant transition towards ensemble learning and deep learning techniques for financial risk forecasting.
  • Using a network-oriented bibliometric methodology, the analysis incorporates co-citation and keyword co-occurrence to assess research impacts.
  • Regulatory demands are increasingly prioritizing model transparency, indicating a change in how financial risk predictions are approached.

Cite This Study

Cojocaru et al. (2025) studied this question.

synapsesocial.com/papers/68c1a8f654b1d3bfb60e17a3https://doi.org/10.2478/picbe-2025-0099
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