rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Non-linearity in econometric modeling
    part number: Vol. 2
    part name: Empirical applications and source code
  title info:
    title: Empirical applications and source code
  name:
    name part: Maitra, Sarit
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: sz
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 203 pages) : illustrations.
  abstract: 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.
  table of contents: Fundamentals of Non-Linear Dynamics -- Endogeneity in Econometric Models -- Asymmetric Pricing -- Physics Inspired Gravity Model in Economics -- Artificial Intelligence / Machine Learning for Fraud Analytics.
  note: Sarit Maitra.
  note: Includes bibliographical references.
  subject:
    topic: Econometric models
  subject:
    topic: Modèles économétriques
  classification: HB141 .M35 2026
  classification: 330.015195
  related item:
    identifier: (OCoLC)1563986607
  related item:
    title info:
      title: Dynamic modeling and econometrics in economics and finance ; v. 34
  identifier: 9783032163042 (electronic bk.)
  identifier: 3032163048
  identifier: 9783032163035
  identifier: 303216303X
  location:
    physical location: POD
  record info:
    record content source: GW5XE
    record creation date: 260527
    record change date: 20260726034311.9
    record identifier: in00005789094
    language of cataloging:
      language term: eng