Jump to content

Dear members, finally, we decided to refresh our theme. Decision was brought based on multiple factors, primarily because of technical needs as old one is not compatible with a new platform version, but also because you all asked for a darker theme.
Here you go!

Please head here if you want to vote https://www.elite7hackers.net/topic/411861-the-new-theme/


This site uses cookies! Learn More

This site uses cookies!

For providing our services, we do use cookies.
But get used, this is what most of modern web do!
However we have to warn you since we are obligated to so due to EU laws.

By continuing to use this site, you agree to allow us to store cookies on your computer. :)
And no, we will not eat your computer nor you will be able to eat those cookies :P

Sign in to follow this  

Recent Advances in Estimating Nonlinear Models With Applications in Economics and Finance

Recommended Posts

Recent Advances in Estimating Nonlinear Models: With Applications in Economics and Finance By Jared Levant, Jun Ma, Mark E. Wohar (auth.), Jun Ma, Mark Wohar (eds.)
2014 | 299 Pages | ISBN: 1461480590 | PDF | 4 MB

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 complex problems in economics and finance.

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
[b]Download (Uploadgig)[/b]
Download ( Rapidgator )
Download ( NitroFlare )

Share this post

Link to post
Share on other sites

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now
Sign in to follow this  

Elite7Hackers Netwok

Hack the imagination!

Support and inquiries

Open support ticket here or email us at [email protected]


Highlighted/recommended lights


Important Information

By using this site, you agree to our Privacy Policy and Terms of Use.