Isbn: 9783032163035 - non-linearity in econometric modeling, vol. 2: empirical applications and source code: 34 (5 risultati)

Buch. Condizione: Neu. 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.…

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 203 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Condizione: New. Print on Demand.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 224 pp. Englisch.…