Non-Linearity in Econometric Modeling, Vol. 2 : Empirical Applications and Source Code

Language: English

Published by Springer, 2026

303216303X / 9783032163035

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Druck auf Anfrage Neuware - Printed after ordering - Nonlinear models have become indispensable in modern finance and economics, yet their reliance on numerical root-finding methods introduces layers of complexity that demand rigorous attention. This second volume of the two-part series offers a comprehensive and accessible guide to tackling these challenges and applying advanced econometric techniques to real-world financial and economic time series data.Designed for students, professionals, and researchers with a solid foundation in statistics, econometrics, and finance, this book bridges the gap between theory and practice. Concepts are introduced 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 can grasp and apply the material effectively.Key Topics Include:Fundamentals of Non-Linear DynamicsEndogeneity in Econometric ModelsAsymmetric PricingPhysics-Inspired Gravity Models in EconomicsArtificial Intelligence and Machine Learning for Fraud AnalyticsWith practical examples, source code, and interdisciplinary insights, this volume empowers readers to navigate the complexities of nonlinear econometric modeling and apply cutting-edge techniques to contemporary challenges in finance and trade.

Seller Inventory # 9783032163035

Title
Non-Linearity in Econometric Modeling, Vol. 2 : Empirical Applications and Source Code
Author
Sarit Maitra
Publisher
Springer
Publication year
2026
Condition
Neu
Binding
Buch
Language
English
ISBN 10
303216303X
ISBN 13
9783032163035
Item weight
504 grams
Dimensions
241x160x18 mm

AHA-BUCH GmbH

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