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Financial Econometrics With Eviews

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Roman Kozhan
Financial Econometrics
With Eviews
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Roman Kozhan

Financial Econometrics
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3



Financial Econometrics – with EViews
© 2010 Roman Kozhan & Ventus Publishing ApS
ISBN 978-87-7681-427-4
To my wife Nataly

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Financial Econometrics

4
Contents
Contents


Preface

1 Introduction to EViews 6.0
 
 
 
 

2 Regression Model
 
 
 

3 Univariate Time Series: Linear Models
 
 
 

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Financial Econometrics

5
Contents
4 Stationarity and Unit Roots Tests
 
 
 

 

5 Univariate Time Series: Volatility Models
 
 
 
 
 

6 Multivariate Time Series Analysis
 
 

Bibliography


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Financial Econometrics

6
Preface
Preface
The aim of this textbook is to provide a step-by-step guide to financial econometrics
using EViews 6.0 statistical package. It contains brief overviews of econometric
concepts, models and data analysis techniques followed by empirical examples of
how they can be implemented in EViews.
This book is written as a compendium for undergraduate and graduate stu-
dents in economics and finance. It also can serve as a guide for researchers and
practitioners who desire to use EViews for analysing financial data. This book may
be used as a textbook companion for graduate level courses in time series analysis,
empirical finance and financial econometrics.
It is assumed that the reader has a basic background in probability theory and
mathematical statistics
The material covered in the book includes concepts of linear regression, uni-
variate and multivariate time series modelling and their implementation i n EViews.
Chapter 1 briefly introduces commands, structure and programming language of

the EViews package. Chapter 2 provides an overview of the regression analysis and
its inference. Chapters 3 to 5 cover some topics of univariate time series analysis
including linear models, GARCH models of volatility, unit root tests. Chapter 6
introduces modelling of multivariate time series.

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