Non-Linear Time Series Models in Empirical Finance

Non-Linear Time Series Models in Empirical Finance
Author :
Publisher : Cambridge University Press
Total Pages : 299
Release :
ISBN-10 : 9780521770415
ISBN-13 : 0521770416
Rating : 4/5 (416 Downloads)

Book Synopsis Non-Linear Time Series Models in Empirical Finance by : Philip Hans Franses

Download or read book Non-Linear Time Series Models in Empirical Finance written by Philip Hans Franses and published by Cambridge University Press. This book was released on 2000-07-27 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2000 volume reviews non-linear time series models, and their applications to financial markets.


Non-Linear Time Series Models in Empirical Finance Related Books

Non-Linear Time Series Models in Empirical Finance
Language: en
Pages: 299
Authors: Philip Hans Franses
Categories: Business & Economics
Type: BOOK - Published: 2000-07-27 - Publisher: Cambridge University Press

GET EBOOK

This 2000 volume reviews non-linear time series models, and their applications to financial markets.
Time Series Models for Business and Economic Forecasting
Language: en
Pages: 421
Authors: Philip Hans Franses
Categories: Business & Economics
Type: BOOK - Published: 2014-04-24 - Publisher: Cambridge University Press

GET EBOOK

With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares student
Elements of Nonlinear Time Series Analysis and Forecasting
Language: en
Pages: 626
Authors: Jan G. De Gooijer
Categories: Mathematics
Type: BOOK - Published: 2017-03-30 - Publisher: Springer

GET EBOOK

This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and re
Topics In Nonlinear Time Series Analysis, With Implications For Eeg Analysis
Language: en
Pages: 360
Authors: Andreas Galka
Categories: Science
Type: BOOK - Published: 2000-02-18 - Publisher: World Scientific

GET EBOOK

This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical
Nonlinear Time Series
Language: en
Pages: 249
Authors: Jiti Gao
Categories: Mathematics
Type: BOOK - Published: 2007-03-22 - Publisher: CRC Press

GET EBOOK

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and st