mlsanityData to 7 Oct 2026

Machine Learning in Finance-Emerging Trends and Challenges

arXiv 2110.11999 ↗First posted 8 Oct 2021q-fin.ST cs.LGcited by 2

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Abstract (arXiv)

The paradigm of machine learning and artificial intelligence has pervaded our everyday life in such a way that it is no longer an area for esoteric academics and scientists putting their effort to solve a challenging research problem. The evolution is quite natural rather than accidental. With the exponential growth in processing speed and with the emergence of smarter algorithms for solving complex and challenging problems, organizations have found it possible to harness a humongous volume of data in realizing solutions that have far-reaching business values. This introductory chapter highlights some of the challenges and barriers that organizations in the financial services sector at the present encounter in adopting machine learning and artificial intelligence-based models and applications in their day-to-day operations.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 13 of its 31 references that are in the map. First posted on arXiv 8 Oct 2021.

Builds on

13 of 31 references.

References · 13

  1. 2021Convex optimizationcited by 2,479
  2. 2020Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodologycited by 41
  3. 2020Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Modelscited by 24
  4. 2019A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processingcited by 23
  5. 2020Stock Price Prediction Using CNN and LSTM-Based Deep Learning Modelscited by 21
  6. 2020A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Modelscited by 18
  7. 2021Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Modelscited by 15
  8. 2020Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Timeseriescited by 13
  9. 2020Learning Undirected Graphs in Financial Marketscited by 13
  10. 2020Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Modelscited by 11
  11. 2021Profitability Analysis in Stock Investment Using an LSTM-Based Deep Learning Modelcited by 11
  12. 2020A Financial Service Chatbot based on Deep Bidirectional Transformerscited by 10
1 more
  1. 2019A neural network-based framework for financial model calibrationcited by 8

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Cited by year

Citing papers per year: 2023: 1; 2024: 0; 2025: 1.

2 papers.

  1. 2025The Role of Federated Learning in Improving Financial Security: A Surveycited by 1
  2. 2023A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Marketcited by 0