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Novel Financial Applications of Machine Learning and Deep Learning Algorithms, Product Modeling, and Applications

This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial...

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Bibliographic Details
Other Authors: Abedin, Mohammad Zoynul (Editor), Hajek, Petr (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Series:International Series in Operations Research & Management Science
Subjects:
Risk Management
Machine Learning
Operations Research
Artificial Intelligence
Financial Engineering
Financial Technology And Innovation
Application Software
Financial Risk Management
Computer And Information Systems Applications
Operations Research And Decision Theory
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Part 1: Recent Developments in FinTech
  • 1. FinTech Risk Management and Monitoring
  • 2. Digital Transformation of Supply Chain with Supportive Culture in Blockchain Environment
  • 3. Integration of Artificial Intelligence Technology in Management Accounting Information System - An Empirical Study
  • 4. The Impact of Big Data on Accounting Practices: Empirical Evidence from Africa
  • Part 2: Financial Risk Prediction using Machine Learning
  • 5. Using Outlier Modification Rule for Improvement of the Performance of Classification Algorithms in the Case of Financial Data
  • 6. Default Risk Prediction Based on Support Vector Machine and Logit Support Vector Machine
  • 7. Predicting Corporate Failure using Ensemble Extreme Learning Machine
  • 8. Assessing and Predicting Small Enterprises’ Credit Ratings: A Multicriteria Approach
  • Part 3: Financial Time-Series Forecasting
  • 9. An Ensemble LGBM (Light Gradient Boosting Machine) Approach for Crude Oil Price Prediction
  • 10. Model Development for Predicting the Crude Oil Price: Comparative Evaluation of Ensemble and Machine Learning Methods
  • part 4: Emerging Technologies in Financial Education and Healthcare
  • 11. Discovering the Role of M-learning among Finance Students: The Future of Online Education
  • 12. Exploring the Role of Mobile Technologies in Higher Education: The Impact of Online Teaching on Traditional Learning.-13. Knowledge Mining from Health Data: Application of Feature Selection Approaches

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