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You searched IISERK - Title: [Widescreen].
Tag In 1 In 2 Data
001  vtls000034302
003  IISER-K
005  20200219120600.0
007  cr nn 008mamaa
008  200219s2018 gw | s |||| 0|eng d
020  \a 9783319929859 \9 978-3-319-92985-9
035  \a (DE-He213)978-3-319-92985-9
039 9\y 202002191206 \z Siladitya
050 4\a QA276-280
08204\a 330.015195 \2 23
1001 \a Aljandali, Abdulkader. \e author. \4 aut \4 http://id.loc.gov/vocabulary/relators/aut
24510\a Economic and Financial Modelling with EViews \h [electronic resource] : \b A Guide for Students and Professionals / \c by Abdulkader Aljandali, Motasam Tatahi.
250  \a 1st ed. 2018.
264 1\a Cham : \b Springer International Publishing : \b Imprint: Springer, \c 2018.
300  \a XVII, 284 p. 277 illus., 238 illus. in color. \b online resource.
336  \a text \b txt \2 rdacontent
337  \a computer \b c \2 rdamedia
338  \a online resource \b cr \2 rdacarrier
347  \a text file \b PDF \2 rda
4901 \a Statistics and Econometrics for Finance, \x 2199-093X
5050 \a 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.
520  \a 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. .
650 0\a Statistics .
650 0\a Economics, Mathematical .
650 0\a Econometrics.
650 0\a Business enterprises—Finance.
65014\a Statistics for Business, Management, Economics, Finance, Insurance. \0 http://scigraph.springernature.com/things/product-market-codes/S17010
65024\a Quantitative Finance. \0 http://scigraph.springernature.com/things/product-market-codes/M13062
65024\a Econometrics. \0 http://scigraph.springernature.com/things/product-market-codes/W29010
65024\a Business Finance. \0 http://scigraph.springernature.com/things/product-market-codes/512000
7001 \a Tatahi, Motasam. \e author. \4 aut \4 http://id.loc.gov/vocabulary/relators/aut
7102 \a SpringerLink (Online service)
7730 \t Springer eBooks
77608\i Printed edition: \z 9783319929842
77608\i Printed edition: \z 9783319929866
77608\i Printed edition: \z 9783030065621
830 0\a Statistics and Econometrics for Finance, \x 2199-093X
85640\u https://doi.org/10.1007/978-3-319-92985-9
912  \a ZDB-2-SMA
950  \a Mathematics and Statistics (Springer-11649)

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