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.
1. Does the effectiveness of accounting information system intensify the sustainability risk management? insight into the enabling role of the blockchain-enabled intelligent internet of things architecture with artificial intelligence. Huy Quang Pham and Phuc Kien Vu. 2. Determining The Liquidity Level of Businesses Registered on the Polish Stock Exchange. Hasim BaGci and Ceyda Yerdelen Kaygin. 3. The reporting comprehensiveness of financial asset risk and company value. Hab, B. Dratwinska-Kania, prof. UE; dr A. Ferens; dr P. Kania. 4. Gold as an alternative investment in times of turmoil. Maria Czech and Blandyna Puszer. 5. Use of artificial neural networks and decision trees for cost estimation of software projects - a model proposal. Marlena Stanek and Beata Czarnacka-Chrobot. 6. Data accounting. Michal Gajda. 7. A deep reinforcement learning approach for portfolio optimization and risk management - case studies. Filip Wójcik. 8. Leveraging the intelligent internal audit informatization for risk management to pave a route towards circular economy. does the forensic accounting skill make it different? Quang Huy Pham and Kien Phuc Vu. 9. Designing a Framework for Guest Experience Management in Hotel Industry based on Data Analysis. Trung Nguyen Xuan, Ha Nguyen Thi Thu, Tam Nguyen, Linh Bui Khanh, Tuan Tran Minh, and Binh Giang Nguyen. 10. Use of automated Accounting Information Systems and operational risk in preparation of financial statements: an experiment study. Maciej Andrzej Tuszkiewicz and Ewa Wanda Maruszewska. 11. Machine learning in analytical procedures in Audit. Anna Karmanska. 12. Application of advanced tools to bolster the business performance of companies in the new normal. Subhash Chander Arora and Vinod Kumar Singh. 13. Examine manipulation of financial statements of commercial banks - Evidence from an emerging country. Nguyen To Tam, Nguyen Thi Thu Ha, and Nguyen Thi Hong Nga. 14. Investments & Alternate Investment options in India. Dr. Puja Roshani, Dr. Divya Bansal, Dr. Shivani Agarwal, and Dr. Abhay Bhardwaj. 15. Risk and Return Dynamics in Portfolio Theory. Dr. Vikas Gupta and Mr. Sripal Srivastava. 16. Use of machine learning for software project cost estimation based on ISO/IEC standards. Beata Czarnacka-Chrobot. 17. The Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) Algorithm to Brand Image and Consumer Loyalty at Shoe Shops. Dam Tri Cuong and Vijender Kumar Solanki. 18. Effect of the General Government Fiscal Deficit on the Inflation Rate: OECD Countries with the Upper Middle Income. Semra AYDOGDU BAGCI.
