1st Edition

AI-Driven Finance in the VUCA World

332 Pages

by Auerbach Publications

332 Pages

by Auerbach Publications

332 Pages

by Auerbach Publications

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Description

In today’s world, characterized by volatility, uncertainty, complexity, and ambiguity (VUCA), traditional finance is no longer sufficient to meet the challenges of fast-paced and interconnected global markets. To thrive in this dynamic environment, financial institutions, professionals, and policymakers are increasingly turning to AI. AI-Driven Finance in the VUCA World explores how AI is... Read more

In today’s world, characterized by volatility, uncertainty, complexity, and ambiguity (VUCA), traditional finance is no longer sufficient to meet the challenges of fast-paced and interconnected global markets. To thrive in this dynamic environment, financial institutions, professionals, and policymakers are increasingly turning to AI. AI-Driven Finance in the VUCA World explores how AI is becoming ever more critical in the financial industry.

This book looks at the impact of AI on investment strategies. AI-powered algorithms exhibit the capacity to scrutinize extensive datasets to unveil masked patterns and investment opportunities. From quantitative trading algorithms adept at capitalizing on market inefficiencies to robot-advisors offering individualized investment counsel, AI profoundly reconfigures the investment landscape. In a VUCA world, risk management is paramount, and regulatory scrutiny is tighter than ever. AI’s ability to assess risks in real time is critical in identifying anomalies and predicting potential crises. The book examines how AI enhances risk assessment, fraud detection, and compliance to provide institutions with a proactive edge in safeguarding operations and assets. This text also looks at the following:

AI-driven chatbots, virtual assistants, and recommendation engines that revolutionize customer interactions, enhance engagement, and improve retention rates
The ethical challenges surrounding AI in finance, including bias in algorithms, data privacy, and the responsible use of AI
Case studies on how AI can solve specific industry challenges and drive innovation

The future of finance is intertwined with AI, and this book looks to this future by discussing emerging trends and possibilities. It explores the potential of quantum computing in finance, the role of AI in sustainability and ESG investing, and the implications of AI-powered regulatory technologies. Seeking to provide valuable insights for financial professionals, the book is equally valuable to researchers, policymakers, and anyone interested in the future of finance. It bridges the gap between theory and practice, offering actionable insights that can be immediately applied in the real world.

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1. Rethinking Financial Market Behaviours in a VUCA World with a Quantum-like Lens
Shubhi Sharma and Sudip Patra

2. Artificial Intelligence in Finance: Future Trends and Prospects
Sushma Rani and Shallu S.

3. Algorithmic Trading and AI: A Synergy for Risk Management
Aashita Chhabra, Nabeela Hasan, Manzoor Ansari, and Mansaf Alam

4. Applications of Cloud of Things (CoT) in Finance
Ashutosh Yadav, Ishan Kashyap Hazarika and Abhradeep Goswami

5. The Evolution of Wealth Management: Harnessing Artificial Intelligence for Success
Anurag Kakkar, Bal Krishan and Sanjeev Kumar

6. Quantum Finance: Revolutionizing Financial Markets with Quantum Computing
Manzoor Ansari, Aashita Chhabra, Nabeela Hasan and Mansaf Alam

7. The Role of Ethical Concerns towards Social Media Marketing and Online Impulse Buying Behaviour in Indian Emerging Markets
Manoj Bansal, Satinder Kumar and Prachi Verma

8. Assessing the Impact of Digital Payments on Goods and Services Tax Revenue in India
Iti Dandona

9. Revolutionizing Financial Forecasting: The Rise of Transformer Models in Long-Term Time Series Analysis
Mutayyab Farooq Mughal, Manzoor Ansari and Mansaf Alam

10. Machine Learning and Predictive Analytics in Financial Markets
Komal Sharma

11. Revolutionizing Finance: The Transformative Impact of Artificial Intelligence on the Finance Sector
Nabeela Hasan, Manzoor Ansari, Aashita Chhabra and Mansaf Alam

12. Behavioral Finance and AI Insights
Shailu Singh, Ashutosh Yadav, Archishman Chaudhuri and Sanghamitra Tomar

13. AI in Central Banking and Monetary Policy
Madhavi Moni K, Ashmita Godara, Arushi Jain and Simran Swain

14. Blockchain-Based Digital Forensics: Methodologies, Tools, and Future Directions
Sahil Kadyan and Deepak Dhillon

15. Securing the Future: Integrating Attack Detection in IoT with Privacy in Financial AI
Priyanka S. and Anoop Kumar

16. AI and Portfolio Management
Puneet Chawla and Rakesh Chawla

17. Explainable AI (XAI) in Finance
Anjaly Chauhan

18. AI-Driven Wealth Management
Prabhneet Kaur

Editor(s)

Biography

Dr. Ashutosh Yadav is an Assistant Professor at Hansraj College, University of Delhi, India.

Dr. Mansaf Alam is a Professor in the Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia, India.

Dr. Kiran Chaudhary is an Associate Professor in the Department of Commerce, Shivaji College, University of Delhi, India.

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AI-Driven Finance in the VUCA World

Description

Table of Contents

Editor(s)

Biography

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