Overview
- EViews is widely used in top business schools and in industry
- Practical guide for both professionals and students
- Step-by-step tutorials throughout
- More than 100 color graphs and tables
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics and Econometrics for Finance (SEFF)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This practical guide in Eviews is aimed at practitioners and students in business, economics, econometrics, and finance. It uses a step-by-step approach to equip readers with a toolkit that enables them to make the most of this widely used econometric analysis software. Statistical and econometrics concepts are explained visually with examples, problems, and solutions.
Developed by economists, the Eviews statistical software package is used most commonly for time-series oriented econometric analysis. It allows users to quickly develop statistical relations from data and then use those relations to forecast future values of the data. The package provides convenient ways to enter or upload data series, create new series from existing ones, display and print series, carry out statistical analyses of relationships among series, and manipulate results and output. This highly hands-on resource includes more than 200 illustrative graphs and tables and tutorials throughout.
Abdulkader Aljandali is Senior Lecturer at Coventry University in London. He is currently leading the Stochastic Finance Module taught as part of the Global Financial Trading MSc. His previously published work includes Exchange Rate Volatility in Emerging Markers, Quantitative Analysis, Multivariate Methods & Forecasting with IBM SPSS Statistics and Multivariate Methods and Forecasting with IBM® SPSS® Statistics. Dr Aljandali is an established member of the British Accounting and Finance Association and the Higher Education Academy.
Motasam Tatahi is a specialist in the areas of Macroeconomics, Financial Economics, and Financial Econometrics at the European Business School, Regent’s University London, where he serves as Principal Lecturer and Dissertation Coordinator for the MSc in Global Banking and Finance at The European Business School-London.
Authors and Affiliations
About the authors
Abdulkader Aljandali is Senior Lecturer at Coventry University in London. He is currently leading the Stochastic Finance Module taught as part of the Global Financial Trading MSc. His previously published work includes Exchange Rate Volatility in Emerging Economies, Quantitative Analysis and IBM® SPSS® Statistics, and Multivariate Methods and Forecasting with IBM® SPSS® Statistics. Dr. Aljandali is an established member of the British Accounting and Finance Association and the Higher Education Academy.
Motasam Tatahi, PhD, is a specialist in the areas of Macroeconomics, Financial Economics and Financial Econometrics at the European Business School, Regent’s University London, where he serves as Principal Lecturer and Dissertation Coordinator for the MSc in Global Banking and Finance at The European Business School-London. He has covered such modules as econometrics for PhD students, advanced macroeconomics at SOAS, and international trade at UCL-University of London. He is author of Privatisation Performance in Major European Countries since 1980 (Palgrave Macmillan) and articles in several international economics journals.
Bibliographic Information
Book Title: Economic and Financial Modelling with EViews
Book Subtitle: A Guide for Students and Professionals
Authors: Abdulkader Aljandali, Motasam Tatahi
Series Title: Statistics and Econometrics for Finance
DOI: https://doi.org/10.1007/978-3-319-92985-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-92984-2Published: 01 November 2018
Softcover ISBN: 978-3-030-06562-1Published: 20 December 2018
eBook ISBN: 978-3-319-92985-9Published: 22 October 2018
Series ISSN: 2199-093X
Series E-ISSN: 2199-0948
Edition Number: 1
Number of Pages: XVII, 284
Number of Illustrations: 39 b/w illustrations, 238 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Quantitative Finance, Econometrics, Business Finance