| 书目名称 | Recent Advances in Estimating Nonlinear Models | | 副标题 | With Applications in | | 编辑 | Jun Ma,Mark Wohar | | 视频video | | | 概述 | First comprehensive text to feature the most advanced methodologies and nonlinear modeling techniques for economics and finance.Ideal supplement for graduate students and researchers working with time | | 图书封面 |  | | 描述 | Nonlinear models have been used extensively in the areas of economics and finance. Recent literature on the topic has shown that a large number of series exhibit nonlinear dynamics as opposed to the alternative--linear dynamics. Incorporating these concepts involves deriving and estimating nonlinear time series models, and these have typically taken the form of Threshold Autoregression (TAR) models, Exponential Smooth Transition (ESTAR) models, and Markov Switching (MS) models, among several others. This edited volume provides a timely overview of nonlinear estimation techniques, offering new methods and insights into nonlinear time series analysis. It features cutting-edge research from leading academics in economics, finance, and business management, and will focus on such topics as Zero-Information-Limit-Conditions, using Markov Switching Models to analyze economics series, and how best to distinguish between competing nonlinear models. Principles and techniques in this book will appeal to econometricians, finance professors teaching quantitative finance, researchers, and graduate students interested in learning how to apply advances in nonlinear time series modeling to solve co | | 出版日期 | Book 2014 | | 关键词 | Markov-switching models; Nonlinear models; Smooth transition; Threshold models; Time series analysis | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-8060-0 | | isbn_softcover | 978-1-4939-5259-5 | | isbn_ebook | 978-1-4614-8060-0 | | copyright | Springer Science+Business Media New York 2014 |
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发表于 2025-3-21 19:12:38
