Global Financial Analytics and Business Forecasting

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Sanjay Taneja, PhD -Associate Professor, University School of Business, Chandigarh University, Punjab, India
Ercan Özen – Associate Professor of Finance, Department of Banking and Finance Faculty of Applied Sciences, University of Uşak, Uşak, Turkey
Pawan Kumar, PhD – Associate Professor in Finance, University School of Business, Chandigarh University Punjab, India
Sanjeet Kumar, PhD – Associate Professor, Department of Business Administration, Chaudhary Devi lal University, Haryana, India

Series: Business, Technology and Finance; Financial Institutions and Services
BISAC: BUS027020; BUS033070; BUS094000
DOI: https://doi.org/10.52305/NART0833

Global Financial Analytics and Business Forecasting is a comprehensive guide that delves into the intricacies of financial analytics and forecasting in the modern global business landscape. Divided into 15 chapters, this book provides a holistic understanding of various aspects of financial analytics and their application in forecasting.

In the first chapter, the book explores the dynamic world of Fintech in India, discussing the opportunities and challenges it presents. Readers gain insight into the rapid growth of Fintech in India, and the role of leading technology systems. The chapter also highlights the pivotal role of artificial intelligence in shaping financial markets and examines a case study on consumer preferences and satisfaction levels in the banking sector in the Republic of Moldova.

Subsequent chapters explore the range of Fintech tools used in finance and unlock the predictive power of ARMA models on Algoquant Fintech’s daily returns. The book further delves into the vast potential of big data in academic organizations, examining its opportunities and challenges. Readers gain valuable insights into the barriers and challenges faced by the Fintech industry and the applications of Fintech in banking.

Machine learning algorithms take center stage in a dedicated chapter, showcasing their role in accelerating the development of business analytics. The book also emphasizes the significance of business intelligence in the financial sector, providing valuable strategies for effective decision-making.

Examining the dynamic linkages between stock market indices and exchange rates for BRICS nations, the book sheds light on the complex interplay between these variables. Moreover, it introduces a new leadership pattern that advocates for an analytical approach to business decision-making. The book also explores how artificial intelligence can enable a granular finance approach tailored to the needs of less advantaged countries, businesses, and individuals.

Global Financial Analytics and Business Forecasting is an essential resource for finance professionals, researchers, academicians, and students seeking a comprehensive understanding of financial analytics and its application in forecasting. Through its diverse range of topics, this book offers valuable insights, practical techniques, and emerging trends that equip readers with the knowledge necessary to thrive in the ever-evolving financial landscape.

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Table of Contents

Foreword

Preface

Chapter 1. FinTech in India: Opportunities and Challenges
Chhinder Kaur1, Anand Sharma2 and Tejinder Pal Singh1
1
Department of Computer Applications, Chandigarh Group of Colleges, Mohali (Punjab), India
2University School of Business, Chandigarh University, Mohali (Punjab), India

Chapter 2. An Overview of FinTech in India
Jitender Kumar1, Anjali Ahuja2, Vinki Rani3 and Nidhi Sindhwani4
1
Department of Management Studies, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India
2School of Commerce and Finance, Geeta University, Panipat, Haryana, India
3Department of Management Studies, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India
4AIIT, Amity University, Noida, Utterpardesh, India

Chapter 3. An Introduction to FinTech
Arti Gaur, Sanju Verma and Sweta Bhatti
Department of Business Administration, Chaudhary Devi Lal University, Sirsa (Haryana), India

Chapter 4. Artificial Intelligence and Its Role in Financial Markets
Kapil Kumar Aggarwal1 and Satakshi Agrawal2
1
Associate Professor, University School of Business, Chandigarh University, Punjab, India
2Research Scholar, University School of Business, Chandigarh University, Punjab, India

Chapter 5. Research on Consumer Preferences and Consumer Satisfaction Levels in the Banking Sector: A Case Study in the Republic of Moldova
Larisa Mistrean, Grigore Belostecinic and Liliana Staver
Center for Behavioral Research, Academy of Economic Studies of Moldova, Chisinau, Moldova

Chapter 6. FinTech Tools Used in Finance
Mohini, MCom, Seema Bamel, MCom and Shveta Singh, PhD
Haryana School of Business, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, India

Chapter 7. Unlocking the Predictive Power of ARMA Models on Algoquant Fintech’s Daily Returns
Monika Khanna1, Mukul2 and Pawan Kumar2
1DES-MDRC, Panjab University, Chandigarh, India
2University School of Business-Commerce, Chandigarh University, Mohali (Punjab), India

Chapter 8. Big Data: An Opportunity for Academic Organizations
Ritu Vashistha1, Padam Bhushan2 and Kavita Dahiya3
1
Amity Business School, Amity University, Jaipur (Rajasthan), India
2University School of Business, Chandigarh University, Mohali (Punjab), India
3IDOL, Chandigarh University, Mohali (Punjab), India

Chapter 9. Barriers and Challenges in the FinTech Industry
Shlok Nitin Gupta, Scholar, Gargi Pant Shukla and Priyanka Panday
Doon Business School, Dehradun, India

Chapter 10. Applications of FinTech in Banking
Reepu, PhD and Atul Shiva, PhD
University School of Business, Chandigarh University, Mohali, Punjab, India

Chapter 11. Machine Learning Algorithms to Accelerate the Development of Business Analytics
Renu Vij
Associate Professor, USB, AIT-Management, Chandigarh University, Mohali, Punjab, India

Chapter 12. The Role of Business Intelligence in the Financial Sector
Sanjay Taneja1, Neha Bansal2 and Ercan Ozen3
1Department of Management Studies, Graphic Era University, Dehradun (Uttarakhand), India
2University School of Business, Chandigarh University, Mohali (Punjab), India
3Department of Finance and Banking, Faculty of Applied Sciences, Usak University, Turkey

Chapter 13. The Dynamic Linkages Between Stock Market Indices and Exchange Rates for BRICS
Sukhmani Kaur1, Shalini Aggarwal2 and Vikas Arora1
1
University School of Business, Chandigarh University, Mohali, Punjab, India
2University School of Business-AIT, Chandigarh University, Mohali, Punjab, India

Chapter 14. Business Decision-Making with an Analytical Approach: A New Leadership Pattern
Kirti Khanna1 and Vikas Sharma2
1Faculty of Management Studies (UG), Manav Rachna International Institute of Research & Studies, Deemed University, Faridabad, Haryana, India
2University School of Business (Commerce), Chandigarh University, Mohali, Punjab, India

Chapter 15. A Granular Finance Tailored to the Needs of Less Advantageous Countries, Businesses and Individuals: Artificial Intelligence’s Role in the Financial Sector
Elhadj Ezzahid and Zakaria Elouaourti
Mohammed V University of Rabat, Morocco

Index

Editors’ Biographies

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