eBook
Global Financial Analytics and Business Forecasting
| Title: | Global Financial Analytics and Business Forecasting |
|---|---|
| Description: | 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. |
| Authors: | Sanjay Taneja |
| Resource Type: | eBook. |
| Subjects: | Finance--Mathematical models--Data processing, Financial services industry--Data processing, Financial services industry--Technological innovations |
| Categories: | BUSINESS & ECONOMICS / Finance / Financial Risk Management |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3692171 RelevancyScore: 975 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 974.776672363281 |
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| Items | – Name: Title Label: Title Group: Ti Data: Global Financial Analytics and Business Forecasting – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sanjay+Taneja%22">Sanjay Taneja</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Finance--Mathematical+models--Data+processing%22">Finance--Mathematical models--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Financial+services+industry--Data+processing%22">Financial services industry--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Financial+services+industry--Technological+innovations%22">Financial services industry--Technological innovations</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Finance+%2F+Financial+Risk+Management%22">BUSINESS & ECONOMICS / Finance / Financial Risk Management</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3692171 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 332.015195 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Finance--Mathematical models--Data processing Type: general – SubjectFull: Financial services industry--Data processing Type: general – SubjectFull: Financial services industry--Technological innovations Type: general Titles: – TitleFull: Global Financial Analytics and Business Forecasting Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sanjay Taneja – PersonEntity: Name: NameFull: Sanjay Taneja IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 02 M: 03 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9798891132238 – Type: isbn-electronic Value: 9798891132788 Titles: – TitleFull: Global Financial Analytics and Business Forecasting Type: main |
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