Sale!

Data Analytics for Management Banking and Finance Theories and Application 1st Edition by Foued Saâdaoui, Yichuan Zhao, Hana Rabbouch 3031365704 9783031365706

Name: Data Analytics for Management Banking and Finance Theories and Application 1st Edition by Foued Saâdaoui, Yichuan Zhao, Hana Rabbouch 3031365704 9783031365706
SKU: EB-52403564
Availability: InStock

Original price was: $50.00.Current price is: $25.00.

Data Analytics for Management, Banking and Finance: Theories and Application 1st Edition Foued Saâdaoui Digital Instant Download

Author(s): Foued Saâdaoui, Yichuan Zhao, Hana Rabbouch, (eds.)

ISBN(s): 9783031365690, 9783031365706, 3031365690, 3031365704

Edition: 1

File Details: PDF, 9.62 MB

Year: 2023

Language: English

SKU: EB-52403564 Category: Computers - Organization and Data Processing Tags: (eds.), Foued Saâdaoui, Hana Rabbouch, Yichuan Zhao

Description

Data Analytics for Management Banking and Finance Theories and Application 1st Edition by Foued Saâdaoui, Yichuan Zhao, Hana Rabbouch – Ebook PDF Instant Download/Delivery: 3031365704, 9783031365706
Full download Data Analytics for Management Banking and Finance Theories and Application 1st Edition after payment

Product details:

ISBN 10: 3031365704
ISBN 13: 9783031365706
Author: Foued Saâdaoui, Yichuan Zhao, Hana Rabbouch

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 the benefits of data science from the research point of view to the evaluation of policies. It highlights how data science is reshaping the business sector. It includes examples of novel big data sources and some successful applications on the use of advanced machine learning, natural language processing, networks analysis, and time series analysis and forecasting, among others, in the banking and finance. It includes several case studies where innovative data science models is used to analyse, test or model some crucial phenomena in banking and finance. At the same time, the book is making an appeal for a further adoption of these novel applications in the field of economics and finance so that they can reach their full potential and support policy-makers and the related stakeholders in the transformational recovery of our societies. The book is for stakeholders involved in research and innovation in the banking and financial sectors, but also those in the fields of computing, IT and managerial information systems, helping through this new theory to better specify the new opportunities and challenges. The many real cases addressed in this book also provide a detailed guide allowing the reader to realize the latest methodological discoveries and the use of the different Machine Learning approaches (supervised, unsupervised, reinforcement, deep, etc.) and to learn how to use and evaluate performance of new data science tools and frameworks

Data Analytics for Management Banking and Finance Theories and Application 1st Table of contents:

A Survey of Machine Learning Methodologies for Loan Evaluation in Peer-to-Peer (P2P) Lending
Explainable Machine Learning Models for Credit Risk Analysis: A Survey
Data Analytics Incorporated with Machine Learning Approaches in Finance
Estimation and Inference in Financial Volatility Networks
Multiresolution Data Analytics for Financial Time Series Using MATLAB
A Risk-Based Trading System Using Algorithmic Trading and Deep Learning Models
Financial Contagion During COVID-19 Crisis: Intraday Analysis Using VAR-VECM Models
Nonlinear ARDL Analysis of Real Effective Exchange Rate’s Asymmetric Impact on FDI Inflows in Tunisia
Evaluating Turkish Banks’ Complaint Management Performance Using Multi-Criteria Decision Analysis
Financial Cycle, Stress, and Policy Roles in Small Open Economy: Spillover Index Approach
Performance of Cryptocurrencies Under a Sentiment Analysis Approach in the Time of COVID-19
Determinants of Non-Performing Loans: Evidence from Indian Banks
Natural Resources, Conflicts, Terrorism, and Finance: Insights from a Descriptive Data Analysis
Determinants of Profitability in Islamic Banks: The Kingdom of Saudi Arabia Market
Trading Rules and Value at Risk: Is There a Linkage?