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This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. Key features:Thoroughly revised and updated, including two new chapters on panel data and limited dependent variable modelsProblem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models Detailed examples and case studies from finance show students how techniques are applied in real researchample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret resultsGives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practiceCovers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methodsThoroughly class-tested in leading finance schools
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Previews available in: English
Showing 6 featured editions. View all 6 editions?
Edition | Availability |
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1
Introductory Econometrics for Finance
2019, Cambridge University Press
in English
1108422535 9781108422536
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2
Introductory Econometrics for Finance
May 16, 2019, Cambridge University Press
paperback
110843682X 9781108436823
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3
Introductory Econometrics for Finance
2014, Cambridge University Press
in English
1107661455 9781107661455
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4
Introductory Econometrics for Finance
2008, Cambridge University Press
E-book
in English
0511402341 9780511402340
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5
Introductory Econometrics for Finance
July 15, 2002, Cambridge University Press
Paperback
in English
- 1st edition
052179367X 9780521793674
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6
Introductory Econometrics for Finance
July 15, 2002, Cambridge University Press
Hardcover
in English
- 1st edition
0521790182 9780521790185
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Book Details
First Sentence
"This chapter sets the scene for the book by discussing in broad terms the questions of what is econometrics, and what are the 'stylised facts' describing financial data that researchers in this area typically try to capture in their models."
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