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Can I read Nonlinear Time Series Analysis of Economic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, 1) on EtoBox?

Nonlinear Time Series Analysis of Economic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, 1) by Andrew J. Filardo, Stephen F. Gordon (auth.), Philip Rothman (eds.) is a nonfiction available to read on EtoBox.

What is Nonlinear Time Series Analysis of Economic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, 1) about?

__Nonlinear Time Series Analysis of Economic and Financial Data__ provides an examination of the flourishing interest that has developed in this area over the past decade. The constant theme throughout this work is that standard linear time series tools leave unexamined and unexploited economically significant features in frequently used data sets. The book comprises original contributions written by specialists in the field, and offers a combination of both applied and methodological papers. It will be useful to both seasoned veterans of nonlinear time series analysis and those searching for an informative panoramic look at front-line developments in the area.

Who reads Nonlinear Time Series Analysis of Economic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, 1)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Andrew J. Filardo, Stephen F. Gordon (auth.), Philip Rothman (eds.)
Publisher
Springer Science+Business Media, LLC
Published
1999
Language
EN
ISBN
9781461373346
Category
nonfiction
Subjects
Economics, Business, Finance

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