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010   $a3-319-92985-2
024 7 $a10.1007/978-3-319-92985-9
035   $a(CKB)4100000007102897
035   $a(MiAaPQ)EBC5566809
035   $a(DE-He213)978-3-319-92985-9
035   $a(PPN)23146276X
035   $a(EXLCZ)994100000007102897
100   $a20181022d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aEconomic and Financial Modelling with EViews $eA Guide for Students and Professionals /$fby Abdulkader Aljandali, Motasam Tatahi
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (293 pages) $cillustrations
225 1 $aStatistics and Econometrics for Finance,$x2199-093X
311   $a3-319-92984-4 
320   $aIncludes bibliographical references and index.
327   $aChapter 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: Capital asset pricing model (capm) -- Chapter 13: Event studies.
330   $aThis practical guide in Eviews is aimed at practitioners and students in business, economics, econometrics, and finance. It uses a step-by-step approach to equip readers with a toolkit that enables them to make the most of this widely used econometric analysis software. Statistical and econometric concepts are explained visually with examples, problems, and solutions. Developed by economists, the Eviews statistical software package is used most commonly for time series-oriented econometric analysis. It allows users to quickly develop statistical relations from data and then use those relations to forecast future values of the data. The package provides convenient ways to enter or upload data series, create new series from existing ones, display and print series, carry out statistical analyses of relationships among series, and manipulate results and output. This highly hands-on resource includes more than 200 illustrative graphs and tables and tutorials throughout. Abdulkader Aljandali is Senior Lecturer at Coventry University in London. He is currently leading the Stochastic Finance Module taught as part of the Global Financial Trading MSc. His previously published work includes Exchange Rate Volatility in Emerging Economies, Quantitative Analysis and IBM® SPSS® Statistics, and Multivariate Methods and Forecasting with IBM® SPSS® Statistics. Dr. Aljandali is an established member of the British Accounting and Finance Association and the Higher Education Academy. Motasam Tatahi is a specialist in the areas of Macroeconomics, Financial Economics, and Financial Econometrics at the European Business School, Regent?s University London, where he serves as Principal Lecturer and Dissertation Coordinator for the MSc in Global Banking and Finance. .
410  0$aStatistics and Econometrics for Finance,$x2199-093X
606   $aStatistics 
606   $aEconomics, Mathematical 
606   $aEconometrics
606   $aBusiness enterprises?Finance
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
606   $aQuantitative Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/M13062
606   $aEconometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/W29010
606   $aBusiness Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/512000
615  0$aStatistics .
615  0$aEconomics, Mathematical .
615  0$aEconometrics.
615  0$aBusiness enterprises?Finance.
615 14$aStatistics for Business, Management, Economics, Finance, Insurance.
615 24$aQuantitative Finance.
615 24$aEconometrics.
615 24$aBusiness Finance.
676   $a330.015195
700   $aAljandali$b Abdulkader$4aut$4http://id.loc.gov/vocabulary/relators/aut$0756048
702   $aTatahi$b Motasam$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910300135903321
996   $aEconomic and Financial Modelling with EViews$92057010
997   $aUNINA