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R Guide for Introductory Econometrics for Finance

2019-03-28 Business & Economics
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Release : 2019-03-28
Genre : Business & Economics
Kind : eBook
Book Rating : 672/5 ( reviews)

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Book Synopsis R Guide for Introductory Econometrics for Finance by : Chris Brooks

Download or read book R Guide for Introductory Econometrics for Finance written by Chris Brooks. This book was released on 2019-03-28. Available in PDF, EPUB and Kindle. Book excerpt: This free software guide for R with freely downloadable datasets brings the econometric techniques to life, showing readers how to implement the approaches presented in Introductory Econometrics for Finance using this highly popular software package. Designed to be used alongside the main textbook, the guide will give readers the confidence and skills to estimate and interpret their own models while the textbook will ensure that they have a thorough understanding of the conceptual underpinnings.

Introductory Econometrics for Finance

2008-05-22 Business & Economics
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Release : 2008-05-22
Genre : Business & Economics
Kind : eBook
Book Rating : 305/5 ( reviews)

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Book Synopsis Introductory Econometrics for Finance by : Chris Brooks

Download or read book Introductory Econometrics for Finance written by Chris Brooks. This book was released on 2008-05-22. Available in PDF, EPUB and Kindle. Book excerpt: 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 models • Problem-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 research • Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results • Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice • Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods • Thoroughly class-tested in leading finance schools. Bundle with EViews student version 6 available. Please contact us for more details.

Introductory Econometrics for Finance

2008-05-22 Business & Economics
Download Introductory Econometrics for Finance PDF Online Free

Author :
Release : 2008-05-22
Genre : Business & Economics
Kind : eBook
Book Rating : 68X/5 ( reviews)

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Book Synopsis Introductory Econometrics for Finance by : Chris Brooks

Download or read book Introductory Econometrics for Finance written by Chris Brooks. This book was released on 2008-05-22. Available in PDF, EPUB and Kindle. Book excerpt: This best-selling introduction to econometrics is specifically written for finance students. The new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts.

Applied Econometrics with R

2008-12-10 Business & Economics
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Release : 2008-12-10
Genre : Business & Economics
Kind : eBook
Book Rating : 185/5 ( reviews)

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Book Synopsis Applied Econometrics with R by : Christian Kleiber

Download or read book Applied Econometrics with R written by Christian Kleiber. This book was released on 2008-12-10. Available in PDF, EPUB and Kindle. Book excerpt: R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.

An Introduction to Analysis of Financial Data with R

2014-08-21 Business & Economics
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Release : 2014-08-21
Genre : Business & Economics
Kind : eBook
Book Rating : 461/5 ( reviews)

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Book Synopsis An Introduction to Analysis of Financial Data with R by : Ruey S. Tsay

Download or read book An Introduction to Analysis of Financial Data with R written by Ruey S. Tsay. This book was released on 2014-08-21. Available in PDF, EPUB and Kindle. Book excerpt: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison Different approaches to calculating asset volatility and various volatility models High-frequency financial data and simple models for price changes, trading intensity, and realized volatility Quantitative methods for risk management, including value at risk and conditional value at risk Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.

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