Artificial Intelligence and Big Data for Financial Risk Management
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Al Janabi
Ann Model
artificial intelligence
Asset Allocation
Asset-liability Management
Banking
Basel Iii
Big Data Technology
blockchain applications
Blockchain Technology
capital markets
Category=KFF
Category=UNC
Category=UXT
Conditional Volatility
deep learning financial risk assessment
DNN Model
Dynamic Portfolio Selection
Economic Capital Allocation
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Financial Development Level
fintech
fraud detection algorithms
FSF
GARCH
Generalized Autoregressive Conditional Heteroscedasticity
GRA Approach
Illiquid Market
insurance
IoT Data Analytic
Liquidity Risk
machine learning in economics
Modeling Algorithms
neural network modelling
portfolio optimisation
Portfolio Optimization
quantitative finance
Risk Management
Stock Market Index
Stock Price Prediction
Stock Return Volatility
Trading Risk
VaR Constraint
Product details
- ISBN 9780367700560
- Weight: 620g
- Dimensions: 156 x 234mm
- Publication Date: 31 Aug 2022
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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This book presents a collection of high-quality contributions on the state-of-the-art in Artificial Intelligence and Big Data analysis as it relates to financial risk management applications. It brings together, in one place, the latest thinking on an emerging topic and includes principles, reviews, examples, and research directions. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the internet of things in a marketing environment.
Noura Metawa is Assistant Professor of Finance at the Faculty of Commerce, Mansoura University, Egypt, and at the College of Business Administration, University of Sharjah, Sharjah, UAE.
M. Kabir Hassan is Professor of Finance in the Department of Economics and Finance at the University of New Orleans, Louisiana, USA.
Saad Metawa is Professor of Finance at the Faculty of Commerce, Mansoura University, Dakahliya, Egypt.
