Logo

Financial Econometrics by Roman Kozhan

Small book cover: Financial Econometrics

Financial Econometrics
by

Publisher: BookBoon
ISBN-13: 9788776814274
Number of pages: 116

Description:
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 students in economics and finance.

Home page url

Download or read it online for free here:
Download link
(4MB, PDF)

Similar books

Book cover: Introduction to Python for Econometrics, Statistics and Numerical AnalysisIntroduction to Python for Econometrics, Statistics and Numerical Analysis
by
Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer.
(12933 views)
Book cover: EconometricsEconometrics
by - BookBoon
This book covers the most basic concepts in econometrics. Subjects as basic probability and statistics, statistical inference with the simple and multiple regression model, dummy variables and auto correlation are explained.
(8951 views)
Book cover: Demand Model Estimation and ValidationDemand Model Estimation and Validation
by - University of California
From the table of contents: Theory and Estimation of Behavioral Travel Demand Models; Development, Testing, and Validaton of a Work-Trip Mode-Choice Model; Modeling Choices Other than Work-Trip; Issues in Demand Modeling and Forecasting.
(6101 views)
Book cover: Spatial EconometricsSpatial Econometrics
by - University of Toledo
This text provides an introduction to spatial econometrics as well as a set of MATLAB functions that implement a host of spatial econometric estimation methods. The intended audience is faculty and students involved in modeling spatial data sets.
(6567 views)