Economic and Financial Modelling with EViews

A Guide for Students and Professionals

Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics, Applied
Cover of the book Economic and Financial Modelling with EViews by Abdulkader Aljandali, Motasam Tatahi, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Abdulkader Aljandali, Motasam Tatahi ISBN: 9783319929859
Publisher: Springer International Publishing Publication: October 22, 2018
Imprint: Springer Language: English
Author: Abdulkader Aljandali, Motasam Tatahi
ISBN: 9783319929859
Publisher: Springer International Publishing
Publication: October 22, 2018
Imprint: Springer
Language: English

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 MarkersQuantitative 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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 MarkersQuantitative 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. 

More books from Springer International Publishing

Cover of the book Phantom Ex Machina by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Waters of Brazil by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Societal Security and Crisis Management by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Religious Indifference by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Quantum Field Theory I by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Theory and Applications of Formal Argumentation by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Moral Error Theory by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Bioinformatics Research and Applications by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Teaching Victorian Literature in the Twenty-First Century by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Information Security and Cryptology - ICISC 2014 by Abdulkader Aljandali, Motasam Tatahi
Cover of the book A Primer on Quantum Fluids by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Charge-based CMOS Digital RF Transmitters by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Atlas of Animal Anatomy and Histology by Abdulkader Aljandali, Motasam Tatahi
Cover of the book The Digital Galactic Complex by Abdulkader Aljandali, Motasam Tatahi
Cover of the book Accounting, Capitalism and the Revealed Religions by Abdulkader Aljandali, Motasam Tatahi
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy