This book presents contemporary issues and challenges in finance and risk management in a time of rapid transformation due to technological advancements. It includes research articles based on financial and economic data and intends to cover the emerging role of analytics in financial management, asset management, and risk management.

Analytics in Finance and Risk Management covers statistical techniques for data analysis in finance. It explores applications in finance and risk management, covering empirical properties of financial systems. It addresses data science involving the study of statistical and computational models and includes basic and advanced concepts. The chapters incorporate the latest methodologies and challenges facing financial and risk management and illustrate related issues and their implications in the real world.

The primary users of this book will include researchers, academicians, postgraduate students, professionals in engineering and business analytics, managers, consultants, and advisors in IT firms, financial markets, and services domains.

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Yes, you can access Analytics in Finance and Risk Management by Nga Thi Hong Nguyen, Shivani Agarwal, Ewa Ziemba, Nga Thi Hong Nguyen,Shivani Agarwal,Ewa Ziemba in PDF and/or ePUB format, as well as other popular books in Business & Manufacturing. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Business

Subtopic

Manufacturing

Index

Business

Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Editors
List of Contributors
Chapter 1 Does the effectiveness of accounting information system intensify sustainability risk management? An insight into the enabling role of the Blockchain-enabled Intelligent Internet of Things Architecture with Artificial Intelligence
Chapter 2 Determining the liquidity level of businesses registered on the Polish Stock exchange
Chapter 3 The reporting comprehensiveness of financial asset risk and company value
Chapter 4 Gold as an alternative investment in times of turmoil
Chapter 5 Use of artificial neural networks and decision trees for cost estimation of software projects – A model proposal
Chapter 6 Data accounting
Chapter 7 A deep reinforcement learning approach for portfolio optimization and risk management – Case studies
Chapter 8 Leveraging the intelligent internal audit informatization for risk management to pave a route toward circular economy: Does the forensic accounting skill make it different?
Chapter 9 Designing a framework for guest experience management in the hotel industry based on data analysis
Chapter 10 Use of automated accounting information systems and operational risk in preparation of financial statements: An experimental study
Chapter 11 Machine learning in analytical procedures in audit
Chapter 12 Application of advanced tools to bolster the business performance of companies in the new normal
Chapter 13 Examine manipulation of financial statements of commercial banks – Evidence from an emerging country
Chapter 14 Investments & alternate investment options in India
Chapter 15 Risk and return dynamics in portfolio theory
Chapter 16 Use of machine learning for software project cost estimation based on ISO/IEC standards
Chapter 17 The application of partial least squares structural equation modeling (PLS-SEM) algorithm to brand image and consumer loyalty at shoe shops
Chapter 18 Effect of the general government fiscal deficit on the inflation rate: OECD countries with the upper middle income
Index

About this book

Frequently asked questions

Information

Table of contents