Non-Linearity in Econometric Modeling, Vol. 1 (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2026
- Hardcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
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Hardcover. Nonlinear models are indispensable in modern finance, yet their reliance on numerical root-finding methods introduces layers of complexity that demand careful attention. This textbook offers a comprehensive and accessible guide to understanding these challenges and applying advanced econometric techniques to real-world financial and economic time series data.Designed for students, professionals, and researchers with a foundational background in statistics, econometrics, and finance, this book bridges the gap between theory and practice. It introduces key concepts progressively, making it suitable for both intermediate and advanced readers. Each chapter is written in clear, approachable language, ensuring that even those with limited prior experience in econometrics can grasp and apply the material effectively.The book is organized into five chapters that progressively guide readers through key concepts in financial time series modeling. It begins with Chapter 1, which introduces data filtering techniques, emphasizing the Kalman Filter's role in improving model accuracy. Chapter 2 explores volatility modeling, addressing common challenges in measuring and interpreting variance in financial data. Chapter 3 builds on this by presenting hybrid approaches that combine GARCH models with neural networks to enhance predictive performance. Chapter 4 applies dynamic volatility models to option valuation, offering both theoretical insights and practical tools. Finally, Chapter 5 delves into regime-switching models, including MSAR (Markov Switching Auto Regressive) and STAR (Smooth Transition Auto Regressive), to capture nonlinear behaviors and structural shifts in time series data. Together, these chapters form a cohesive narrative on modeling the dynamic behavior of financial time series, with a particular emphasis on volatility and structural shifts. Whether you're a finance professional, economist, or data scientist, this book is an essential resource for mastering the tools and techniques that drive modern financial analysis. Nonlinear models are indispensable in modern finance, yet their reliance on numerical root-finding methods introduces layers of complexity that demand careful attention. Whether you're a finance professional, economist, or data scientist, this book is an essential resource for mastering the tools and techniques that drive modern financial analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9783032064615
- Title
- Non-Linearity in Econometric Modeling, Vol. 1 (Hardcover)
- Author
- Sarit Maitra
- Publisher
- Springer Nature Switzerland AG, Cham
- Publication year
- 2026
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3032064619
- ISBN 13
- 9783032064615
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About the Author
Sarit Maitra received his Ph.D. in Information Technology from Universiti Teknologi PETRONAS, Malaysia. He is currently affiliated with Alliance School of Business, Alliance University, Bengaluru, India as Professor, Business Analytics. He comes with nearly three decades of industry experience, specialized in data / big data and business analytics. With deep expertise in data strategy and decision science, he leverages both linear and non-linear modeling approaches to power simulation, optimization, and decision-support systems consistently translating complex data into measurable business outcomes. He leverages his industry to transform data into actionable insights, lead high-performing teams, and align analytics initiatives with organizational goals. He has contributed to several scholarly works and publications in leading academic journals. He plays a key role in multiple consulting engagements, spearheading analytics strategy and data driven business decisions to deliver business strategy and success.
"About the title" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
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