Non-Linearity in Econometric Modeling, Vol. 2

Name: Non-Linearity in Econometric Modeling, Vol. 2
Brand: Springer, Berlin
SKU: 9783032163035
Price: 296.02 PLN
Availability: InStock

Empirical Applications and Source Code

Autor: Sarit Maitra

Język:

Oprawa: Twarda

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy

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296.02 zł

Nonlinear models have become indispensable in modern finance and economics, yet their reliance on nu...

Informacje o książce

Autor

Sarit Maitra

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2026

strony

153

EAN

9783032163035

Enbook ID

50123189

Wydawca

Springer, Berlin

Waga

449

Wymiary

155 x 235

Pełny opis

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 Dynamics
Endogeneity in Econometric Models
Asymmetric Pricing
Physics-Inspired Gravity Models in Economics
Artificial Intelligence and Machine Learning for Fraud Analytics

With 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.

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Non-Linearity in Econometric Modeling, Vol. 2

Empirical Applications and Source Code

Informacje o książce

Pełny opis

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