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Data Analytics for Management, Banking and Finance Theories and Application /

This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinary areas, such as machine learning and business analytics, can bring forward a shared vision on t...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Saâdaoui, Foued (Editor), Zhao, Yichuan (Editor), Rabbouch, Hana (Editor)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edición:1st ed. 2023.
Materias:
Statistics .
Data mining.
Big data.
Statistics in Business, Management, Economics, Finance, Insurance.
Data Mining and Knowledge Discovery.
Big Data.
Acceso en línea:https://doi.org/10.1007/978-3-031-36570-6
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Tabla de Contenidos:
  • 1. A Survey of Machine Learning Methodologies for Loan Evaluation in Peer-to-peer (P2P) Lending
  • 2. Explainable Machine Learning Models for Credit Risk Analysis: A Survey
  • 3. Data Analytics Incorporated with Machine Learning Approaches in Finance
  • 4. Estimation and Inference in Financial Volatility Networks
  • 5. Multiresolution Data Analytics for Financial Time Series Using MATLAB
  • 6.A Risk-Based Trading System using Algorithmic Trading and Deep Learning Models
  • 7. Financial Contagion During COVID-19: Intraday Analysis with VAR-VECM Models
  • 8. Nonlinear ARDL Analysis of Real Effective Exchange Rate's Asymmetric Impact on FDI Inflows in Tunisia
  • 9. Evaluating Turkish Banks' Complaint Management Performance using Multi-Criteria Decision Analysis
  • 10. Financial Cycle, Stress, and Policy Roles in Small Open Economy: Spillover Index Approach
  • 11. Performance of Cryptocurrencies under a Sentiment Analysis Approach in the Time of COVID-19
  • 12. Determinants of Non-Performing Loans: Evidence from Indian Banks
  • 13. Natural Resources, Conflicts, Terrorism, and Finance: Insights from a Descriptive Data Analysis
  • 14. Determinants of Profitability in Islamic Banks: The Kingdom of Saudi Arabia Market
  • 15. Trading Rules and Value at Risk: Is there a linkage?

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