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＜電子ブック＞
Economic and Financial Modelling with EViews : A Guide for Students and Professionals / by Abdulkader Aljandali, Motasam Tatahi
(Statistics and Econometrics for Finance. ISSN:21990948)

版	1st ed. 2018.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2018
本文言語	英語
大きさ	XVII, 284 p. 277 illus., 238 illus. in color : online resource
著者標目	*Aljandali, Abdulkader author Tatahi, Motasam author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Social sciences -- Mathematics  全ての件名で検索 LCSH:Econometrics LCSH:Business enterprises -- Finance  全ての件名で検索 FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Mathematics in Business, Economics and Finance FREE:Econometrics FREE:Corporate Finance
一般注記	Chapter 1: Introduction to eviews -- Chapter 2: A guideline for running regression -- Chapter 3: Time series analysis -- Chapter 4: Time series modelling -- Chapter 5: Further properties of time series -- Chapter 6: Economic forecasting -- Chapter 7: The box-jenkins methodology: arima forecasting -- Chapter 8: Modelling volatility in finance and economics - arch, garch and egrach models -- Chapter 9: Limited dependent variable models -- Chapter 10: Vector autorgressive models -- Chapter 11: Panel data analysis -- Chapter 12: Captial asset pricing model (capm) -- Chapter 13: Event studies 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 econometric 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 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 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. HTTP:URL=https://doi.org/10.1007/978-3-319-92985-9

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