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Financial Econometrics With Eviews

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Roman KozhanFinancial Econometrics With Eviews Download free books at... Download free eBooks at bookboon.com2 Roman Kozhan Financial Econometrics... Download free eBooks at bookboon.co

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Roman Kozhan

Financial Econometrics With Eviews

Download free books at

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2

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

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Contents

Contents

Preface

1 Introduction to EViews 6.0

1.1 Workiles in EViews

1.2 Objects

1.3 Eviews Functions

1.4 Programming in Eviews

2 Regression Model

2.1 Introduction

2.2 Linear Regression Model

2.3 Nonlinear Regression

3 Univariate Time Series: Linear Models

3.1 Introduction

3.2 Stationarity and Autocorrelations

3.3 ARMA processes

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Financial Econometrics

5

Contents

4 Stationarity and Unit Roots Tests

4.1 Introduction

4.2 Unit Roots tests

4.3 Stationarity tests

4.4 Example: Purchasing Power Parity

5 Univariate Time Series: Volatility Models

5.1 Introduction

5.2 The ARCH Model

5.3 The GARCH Model

5.4 GARCH model estimation

5.5 GARCH Model Extensions

6 Multivariate Time Series Analysis

6.1 Vector Autoregression Model

6.2 Cointegration

Bibliography

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360°

thinking

© Deloitte & Touche LLP and affiliated entities.

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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 multiuni-variate time series modelling and their implementation in 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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