Skip to product information
1 of 1

Abdulkader Aljandali,Motasam Tatahi

Economic and Financial Modelling with EViews: A Guide for Students and Professionals

Economic and Financial Modelling with EViews: A Guide for Students and Professionals

YOU SAVE £15.04

Regular price £84.95 GBP
Regular price £99.99 GBP Sale price £84.95 GBP
15% OFF Sold out
Tax included. Shipping calculated at checkout.
  • Condition: Brand new
  • UK Delivery times: Usually arrives within 2 - 3 working days
  • UK Shipping: Fee starts at £2.39. Subject to product weight & dimension
Trustpilot 4.5 stars rating  Excellent
We're rated excellent on Trustpilot.
  • More about Economic and Financial Modelling with EViews: A Guide for Students and Professionals


This guide provides a step-by-step approach to using Eviews, a widely used econometric analysis software, with examples, problems, and solutions. It is designed for practitioners and students in business, economics, econometrics, and finance, and covers statistical and econometrics concepts visually.

\n Format: Hardback
\n Length: 284 pages
\n Publication date: 01 November 2018
\n Publisher: Springer International Publishing AG
\n


This comprehensive guide in Eviews is designed for practitioners and students in the fields of business, economics, econometrics, and finance. It employs a step-by-step approach to equip readers with a toolkit that empowers them to maximize the potential of this widely employed econometric analysis software. Visual explanations of statistical and econometrics concepts are provided, accompanied by examples, problems, and solutions.

Developed by economists, the Eviews statistical software package is predominantly utilized for time-series-oriented econometric analysis. It enables users to swiftly establish statistical relationships from data and subsequently employ those relations to predict future values of the data. The package offers convenient methods for entering or uploading data series, creating new series from existing ones, displaying and printing series, conducting statistical analyses of relationships among series, and manipulating results and output. This highly hands-on resource comprises over 200 illustrative graphs and tables, along with comprehensive tutorials throughout.

Abdulkader Aljandali holds the position of Senior Lecturer at Coventry University in London. Currently, he serves as the module leader for the Stochastic Finance Module, which is part of the Global Financial Trading MSc. His previous publications include Exchange Rate Volatility in Emerging Markets, Quantitative Analysis, Multivariate Methods & Forecasting with IBM SPSS Statistics, and Multivariate Methods and Forecasting with IBM® SPSS® Statistics. Dr. Aljandali holds membership in both the British Accounting and Finance Association and the Higher Education Academy.

Motasam Tatahi is a specialist in the domains of macroeconomics, financial economics, and financial econometrics at the European Business School, Regents University London. He holds the position of Principal Lecturer and Dissertation Coordinator for the MSc in Global.

\n Weight: 606g\n
Dimension: 164 x 242 x 19 (mm)\n
ISBN-13: 9783319929842\n
Edition number: 1st ed. 2018\n

This item can be found in:

UK and International shipping information

UK Delivery and returns information:

  • Delivery within 2 - 3 days when ordering in the UK.
  • Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
  • Returns policy: Return within 30 days of receipt for full refund.

International deliveries:

Shulph Ink now ships to Australia, Canada, France, Ireland, Italy, Germany, Spain, Netherlands, New Zealand, United States of America, Belgium, India, United Arab Emirates.

  • Delivery times: within 5 - 10 days for international orders.
  • Shipping fee: charges vary for overseas orders. Only tracked services are available for international orders.
  • Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
View full details