Financial Econometrics Using Stata

Author: Simona Boffelli,Giovanni Urga

Publisher: Stata Press

ISBN: 9781597182140

Category:

Page: N.A

View: 6180

Financial Econometrics Using Stata is an essential reference for graduate students, researchers, and practitioners who use Stata to perform intermediate or advanced methods. After discussing the characteristics of financial time series, the authors provide introductions to ARMA models, univariate GARCH models, multivariate GARCH models, and applications of these models to financial time series. The last two chapters cover risk management and contagion measures. After a rigorous but intuitive overview, the authors illustrate each method by interpreting easily replicable Stata examples.
Business & Economics

An Introduction to Modern Econometrics Using Stata

Author: Christopher F. Baum

Publisher: Stata Press

ISBN: 1597180130

Category: Business & Economics

Page: 341

View: 5159

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata. As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming. Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.
Business & Economics

Using Stata for Principles of Econometrics, 4th Edition

Author: Lee C. Adkins

Publisher: Wiley Global Education

ISBN: 111842459X

Category: Business & Economics

Page: 624

View: 4304

This book is a supplement to Principles of Econometrics, 4th Edition by R. Carter Hill, William E. Griffiths and Guay C. Lim (Wiley, 2011), hereinafter POE4. This book is not a substitute for the textbook, nor is it a stand alone computer manual. It is a companion to the textbook, showing how to perform the examples in the textbook using Stata Release 11. This book will be useful to students taking econometrics, as well as their instructors, and others who wish to use Stata for econometric analysis.
Business & Economics

Introductory Econometrics for Finance

Author: Chris Brooks

Publisher: Cambridge University Press

ISBN: 1139916459

Category: Business & Economics

Page: N.A

View: 3469

This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.
Mathematics

Applied Econometrics Using the SAS System

Author: Vivek Ajmani

Publisher: John Wiley & Sons

ISBN: 1118210328

Category: Mathematics

Page: 328

View: 3311

The first cutting-edge guide to using the SAS® system for the analysis of econometric data Applied Econometrics Using the SAS® System is the first book of its kind to treat the analysis of basic econometric data using SAS®, one of the most commonly used software tools among today's statisticians in business and industry. This book thoroughly examines econometric methods and discusses how data collected in economic studies can easily be analyzed using the SAS® system. In addition to addressing the computational aspects of econometric data analysis, the author provides a statistical foundation by introducing the underlying theory behind each method before delving into the related SAS® routines. The book begins with a basic introduction to econometrics and the relationship between classical regression analysis models and econometric models. Subsequent chapters balance essential concepts with SAS® tools and cover key topics such as: Regression analysis using Proc IML and Proc Reg Hypothesis testing Instrumental variables analysis, with a discussion of measurement errors, the assumptions incorporated into the analysis, and specification tests Heteroscedasticity, including GLS and FGLS estimation, group-wise heteroscedasticity, and GARCH models Panel data analysis Discrete choice models, along with coverage of binary choice models and Poisson regression Duration analysis models Assuming only a working knowledge of SAS®, this book is a one-stop reference for using the software to analyze econometric data. Additional features include complete SAS® code, Proc IML routines plus a tutorial on Proc IML, and an appendix with additional programs and data sets. Applied Econometrics Using the SAS® System serves as a relevant and valuable reference for practitioners in the fields of business, economics, and finance. In addition, most students of econometrics are taught using GAUSS and STATA, yet SAS® is the standard in the working world; therefore, this book is an ideal supplement for upper-undergraduate and graduate courses in statistics, economics, and other social sciences since it prepares readers for real-world careers.
Mathematics

Introduction to Time Series using Stata

Author: Sean Becketti

Publisher: Stata Press

ISBN: 9781597181327

Category: Mathematics

Page: 741

View: 1923

Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.
Business & Economics

Applied Econometrics with R

Author: Christian Kleiber,Achim Zeileis

Publisher: Springer Science & Business Media

ISBN: 9780387773186

Category: Business & Economics

Page: 222

View: 1397

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.
Business & Economics

Econometrics For Dummies

Author: Roberto Pedace

Publisher: John Wiley & Sons

ISBN: 1118533879

Category: Business & Economics

Page: 360

View: 7663

Score your highest in econometrics? Easy. Econometrics can prove challenging for many students unfamiliar with the terms and concepts discussed in a typical econometrics course. Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of economics. Econometrics For Dummies breaks down this complex subject and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations. An excellent resource for anyone participating in a college or graduate level econometrics course Provides you with an easy-to-follow introduction to the techniques and applications of econometrics Helps you score high on exam day If you're seeking a degree in economics and looking for a plain-English guide to this often-intimidating course, Econometrics For Dummies has you covered.
Business & Economics

Microeconometrics using Stata

Author: Adrian Colin Cameron,P. K. Trivedi

Publisher: Statacorp Lp

ISBN: 9781597180481

Category: Business & Economics

Page: 692

View: 1132

An outstanding introduction to microeconometrics and how to do microeconometric research using Stata, this book covers topics often left out of microeconometrics textbooks and omitted from basic introductions to Stata. Cameron and Trivedi provide the most complete and up-to-date survey of microeconometric methods available in Stata. They begin by introducing simulation methods and then use them to illustrate features of the estimators and tests described in the rest of the book. They address each topic with an in-depth Stata example and demonstrate how to use Stata'真s programming features to implement methods for which Stata does not have a specific command.Multi/Card Deck Copy
Business & Economics

Principles of Econometrics

Author: R. Carter Hill,William E. Griffiths,Guay C. Lim

Publisher: Wiley Global Education

ISBN: 1119342856

Category: Business & Economics

Page: 904

View: 5950

Principles of Econometrics, Fifth Edition, is an introductory book for undergraduate students in economics and finance, as well as first-year graduate students in a variety of fields that include economics, finance, accounting, marketing, public policy, sociology, law, and political science. Students will gain a working knowledge of basic econometrics so they can apply modeling, estimation, inference, and forecasting techniques when working with real-world economic problems. Readers will also gain an understanding of econometrics that allows them to critically evaluate the results of others’ economic research and modeling, and that will serve as a foundation for further study of the field. This new edition of the highly-regarded econometrics text includes major revisions that both reorganize the content and present students with plentiful opportunities to practice what they have read in the form of chapter-end exercises.
Business & Economics

Market Risk Analysis, Practical Financial Econometrics

Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 0470771038

Category: Business & Economics

Page: 426

View: 4415

Written by leading market risk academic, Professor Carol Alexander, Practical Financial Econometrics forms part two of the Market Risk Analysis four volume set. It introduces the econometric techniques that are commonly applied to finance with a critical and selective exposition, emphasising the areas of econometrics, such as GARCH, cointegration and copulas that are required for resolving problems in market risk analysis. The book covers material for a one-semester graduate course in applied financial econometrics in a very pedagogical fashion as each time a concept is introduced an empirical example is given, and whenever possible this is illustrated with an Excel spreadsheet. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Factor analysis with orthogonal regressions and using principal component factors; Estimation of symmetric and asymmetric, normal and Student t GARCH and E-GARCH parameters; Normal, Student t, Gumbel, Clayton, normal mixture copula densities, and simulations from these copulas with application to VaR and portfolio optimization; Principal component analysis of yield curves with applications to portfolio immunization and asset/liability management; Simulation of normal mixture and Markov switching GARCH returns; Cointegration based index tracking and pairs trading, with error correction and impulse response modelling; Markov switching regression models (Eviews code); GARCH term structure forecasting with volatility targeting; Non-linear quantile regressions with applications to hedging.
Business & Economics

Applied Health Economics

Author: Andrew M. Jones,Nigel Rice,Teresa Bago d'Uva,Silvia Balia

Publisher: Routledge

ISBN: 1136239820

Category: Business & Economics

Page: 416

View: 9015

The first edition of Applied Health Economics did an expert job of showing how the availability of large scale data sets and the rapid advancement of advanced econometric techniques can help health economists and health professionals make sense of information better than ever before. This second edition has been revised and updated throughout and includes a new chapter on the description and modelling of individual health care costs, thus broadening the book’s readership to those working on risk adjustment and health technology appraisal. The text also fully reflects the very latest advances in the health economics field and the key journal literature. Large-scale survey datasets, in particular complex survey designs such as panel data, provide a rich source of information for health economists. They offer the scope to control for individual heterogeneity and to model the dynamics of individual behaviour. However, the measures of outcome used in health economics are often qualitative or categorical. These create special problems for estimating econometric models. The dramatic growth in computing power over recent years has been accompanied by the development of methods that help to solve these problems. The purpose of this book is to provide a practical guide to the skills required to put these techniques into practice. Practical applications of the methods are illustrated using data on health from the British Health and Lifestyle Survey (HALS), the British Household Panel Survey (BHPS), the European Community Household Panel (ECHP), the US Medical Expenditure Panel Survey (MEPS) and Survey of Health, Ageing and Retirement in Europe (SHARE). There is a strong emphasis on applied work, illustrating the use of relevant computer software with code provided for Stata. Familiarity with the basic syntax and structure of Stata is assumed. The Stata code and extracts from the statistical output are embedded directly in the main text and explained at regular intervals. The book is built around empirical case studies, rather than general theory, and the emphasis is on learning by example. It presents a detailed dissection of methods and results of some recent research papers written by the authors and their colleagues. Relevant methods are presented alongside the Stata code that can be used to implement them and the empirical results are discussed at each stage. This text brings together the theory and application of health economics and econometrics, and will be a valuable reference for applied economists and students of health economics and applied econometrics.
Business & Economics

Introductory Econometrics: A Modern Approach

Author: Jeffrey M. Wooldridge

Publisher: Cengage Learning

ISBN: 1305446380

Category: Business & Economics

Page: 912

View: 5989

Discover how empirical researchers today actually think about and apply econometric methods with the practical, professional approach in Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Unlike traditional books, this unique presentation demonstrates how econometrics has moved beyond just a set of abstract tools to become genuinely useful for answering questions in business, policy evaluation, and forecasting environments. INTRODUCTORY ECONOMETRICS is organized around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with timely, relevant applications, the book introduces the latest emerging developments in the field. Gain a full understanding of the impact of econometrics in real practice today with the insights and applications found only in INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Finance

Financial Econometrics

An Example-Based Handbook

Author: Anokye Mohammed Adam

Publisher: Nova Science Publishers

ISBN: 9781536123319

Category: Finance

Page: 251

View: 3313

Financial modelling -- and for that matter, quantitative finance -- is a very crucial area of study for the decision makers to make informed and robust choices in matters of interest to the growth and survival of their organisations. Thus, the skills and knowledge (at least, in this book) must be possessed by every finance professional; risk analysts, quantitative analysts, asset and portfolio managers, compliance officers, Forex and Contract for Difference (CFD) traders, etc. Econometric and statistical models employed in financial modelling are too many to be captured under this course. The econometric models captured in this book are for the purposes of fostering understanding, appreciation, and the reality of the mathematics beneath the topics in econometrics. Broadly speaking, this book covers the various facets of regression models in this important field. Diagnostics on the linear regression model, Logit and Probit (Categorical Dependent Variable Models), Stationary and Non-Stationary Time Series, Cointegration and Error Correction Models (ECM), Autoregressive Distributed Lag (ARDL) Models, forecasting with ARIMA and Vector Autoregression (VAR) models, Panel Data Regression Models, and finally Asset Price/Return Volatility: ARCH and GARCH Models are illustrated for easy comprehension.
Business & Economics

Applied Econometrics

Author: Dimitrios Asteriou,Stephen G. Hall

Publisher: Macmillan International Higher Education

ISBN: 1137415479

Category: Business & Economics

Page: 552

View: 5053

The third edition of Applied Econometrics builds on the success of the popular previous editions. It takes an intuitive, hands-on approach to presenting fundamental concepts in modern econometrics and carefully guides the reader through them. Step-by-step instructions for all econometric tests and methods of estimation are provided, as well as ways in which to interpret the results. This makes it an ideal companion for students new to the subject, or for those requiring a 'refresher'. Applied Econometrics third edition includes: • Thorough updates of all material in the book • More finance applications • A brand new Chapter 20: Time Varying Coefficient Models: A new way of estimating bias free parameters This is an indispensable textbook for undergraduate and Master's economics or finance students taking a course in applied econometrics.
Business & Economics

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata

Author: Subal C. Kumbhakar,Hung-Jen Wang,Alan P. Horncastle

Publisher: Cambridge University Press

ISBN: 1316194493

Category: Business & Economics

Page: N.A

View: 6537

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.
Business & Economics

ECONOMETRICS with STATA. Examples and Exercises

Author: Maria Perez

Publisher: Createspace Independent Pub

ISBN: 9781500433116

Category: Business & Economics

Page: 262

View: 2604

This book is aimed at the presentation of both classical and modern econometric techniques, and treatment with STATA software tool, a simple way to address the econometric work. Chapters begin with the presentation of concepts and appropriate theoretical notes, then to solve a variety of exercises that cover the concepts presented. It is not, therefore, make a complete theoretical presentation with demonstrations, but rather to collect most of the econometric concepts and illustrate them with practice through STATA software. In successive chapters develop the linear multiple regression model and all its problems (autocorrelation, heteroskedasticity, multicollinearity, normality, linearity, etc..), univariate time series models through the Box-Jenkins methodology for ARIMA models, the models of analysis of variance and covariance ANOVA, ANCOVA, MANOVA, MANCOVA, the general linear model GLM and the discrete choice models, count, censored, truncated, sample selection, Logit, Probit, Tobit, etc. More advanced topics such as multi-equational linear models, simultaneous equations models, multivariate time series models (VAR, VARX, VARMA and BVAR) and cointegration are also discussed. Finally delves into the panel data econometrics, unit roots and cointegration in panel data and non-linear models and systems.