Search results for: financial-econometrics-using-stata

Financial Econometrics Using Stata

Author : Simona Boffelli
File Size : 25.31 MB
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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.

STATA Guide for Introductory Econometrics for Finance

Author : Chris Brooks
File Size : 81.42 MB
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This free software guide for STATA 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.

An Introduction to Modern Econometrics Using Stata

Author : Christopher F. Baum
File Size : 31.2 MB
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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.

Financial Microeconometrics

Author : Marek Gruszczyński
File Size : 59.86 MB
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This book explores new topics in modern research on empirical corporate finance and applied accounting, especially the econometric analysis of microdata. Dubbed “financial microeconometrics” by the author, this concept unites both methodological and applied approaches. The book examines how quantitative methods can be applied in corporate finance and accounting research in order to predict companies getting into financial distress. Presented in a clear and straightforward manner, it also suggests methods for linking corporate governance to financial performance, and discusses what the determinants of accounting disclosures are. Exploring these questions by way of numerous practical examples, this book is intended for researchers, practitioners and students who are not yet familiar with the variety of approaches available for data analysis and microeconometrics. “This book on financial microeconometrics is an excellent starting point for research in corporate finance and accounting. In my view, the text is positioned between a narrative and a scientific treatise. It is based on a vast amount of literature but is not overloaded with formulae. My appreciation of financial microeconometrics has very much increased. The book is well organized and properly written. I enjoyed reading it.” Wolfgang Marty, Senior Investment Strategist, AgaNola AG

Efficiency in Business and Economics

Author : Tadeusz Dudycz
File Size : 21.63 MB
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This volume offers a collection of studies on problem of organization’s efficiency, criteria for evaluating the efficiency, tools and methods for measuring the efficiency. The articles included present an interdisciplinary look at efficiency, its essence and the principles of its measurement. The contributions also identify a broad spectrum of conditions for achieving efficiency in various types of organizations and systems (e.g. public institution, non-profit organizations), representing various industries. The book collects selected papers presented at the 7th International Conference "Efficiency as a Source of the Wealth of Nations", held in Wrocław, Poland, in May 2017.

Data Science for Financial Econometrics

Author : Nguyen Ngoc Thach
File Size : 24.38 MB
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Risk Analysis and Portfolio Modelling

Author : Elisa Luciano
File Size : 23.31 MB
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Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.

Health Econometrics Using Stata

Author : Partha Deb
File Size : 77.96 MB
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Health Econometrics Using Stataby Partha Deb, Edward C. Norton, and Willard G. Manning provides an excellent overview of the methods used to analyze data on healthcare expenditure and use. Aimed at researchers, graduate students, and practitioners, this book introduces readers to widely used methods, shows them how to perform these methods in Stata, and illustrates how to interpret the results. Each method is discussed in the context of an example using an extract from the Medical Expenditure Panel Survey. After the overview chapters, the book provides excellent introductions to a series of topics aimed specifically at those analyzing healthcare expenditure and use data. The basic topics of linear regression, the generalized linear model, and log and Box-Cox models are covered with a tight focus on the problems presented by these data. Using this foundation, the authors cover the more advanced topics of models for continuous outcome with mass points, count models, and models for heterogeneous effects. Finally, they discuss endogeneity and how to address inference questions using data from complex surveys. The authors use their formidable experience to guide readers toward useful methods and away from less recommended ones. Their discussion of "health econometric myths" and the chapter presenting a framework for approaching health econometric estimation problems are especially useful for this aspect. , count models, and models for heterogeneous effects. Finally, they discuss endogeneity and how to address inference questions using data from complex surveys. The authors use their formidable experience to guide readers toward useful methods and away from less recommended ones. Their discussion of "health econometric myths" and the chapter presenting a framework for approaching health econometric estimation problems are especially useful for this aspect.

Using Stata for Principles of Econometrics

Author : Lee C. Adkins
File Size : 33.77 MB
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This is the Using Stata text for Principles of Econometrics, 4th Edition. Principles of Econometrics is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields. The 4th Edition provides students with an understanding of why econometrics is necessary and a working knowledge of basic econometric tools. This text emphasizes motivation, understanding and implementation by introducing very simple economic models and asking economic questions that students can answer.

Applied Econometrics Using the SAS System

Author : Vivek Ajmani
File Size : 63.71 MB
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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.

Introductory Econometrics for Finance

Author : Chris Brooks
File Size : 57.68 MB
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Offers econometrics for finance students with no prior knowledge of the field. Includes case studies, examples and extensive online support.

Ownership and Control of Oil

Author : Bianca Sarbu
File Size : 90.2 MB
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Ownership and Control of Oil examines government decisions about how much control to exert over the petroleum industry, focusing on the role of National Oil Companies in the production of crude oil since the nationalizations in the 1970s. What are the motives for which some producing states opt for less and NOT more control of their oil production sector? When can International Oil Companies enter the upstream industry of producing states and under what conditions? The diversity of policy choices across producers provides the stage for this investigation: different theoretical explanations are confronted, with the empirical evidence, with the aim of finally proposing an interdisciplinary framework of analysis to explain who controls oil production around the world. This book is intended for both specialists and general readers who have an interest in the issue of government control of the petroleum industry. Due to its multidisciplinary approach, the book is aimed at a large academic public composed of scholars of Political Science, International Political Economy, Comparative Politics, and Middle East Area Studies. Moreover, this book should be relevant to international consultants, industry professionals and decision-makers in countries assessing their experience with existing control structures as well as the many countries in the process of joining the ‘petroleum club’ of oil producing nations.

Financial Econometric Modeling

Author : Stan Hurn
File Size : 28.92 MB
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"An introduction to the field of financial econometrics, focusing on providing an introduction for undergraduate and postgraduate students whose math skills may not be at the most advanced level, but who need this material to pursue careers in research and the financial industry"--


Author : Badi H. Baltagi
File Size : 60.98 MB
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Here at last is the fourth edition of the textbook that is required reading for economics students as well as those practising applied economics. Not only does it teach some of the basic econometric methods and the underlying assumptions behind them, but it also includes a simple and concise treatment of more advanced topics from spatial correlation to time series analysis. This book’s strength lies in its ability to present complex material in a simple, yet rigorous manner. This superb fourth edition updates identification and estimation methods in the simultaneous equation model. It also reviews the problem of weak instrumental variables as well as updating panel data methods.

Analysis of Financial Data

Author : Gary Koop
File Size : 49.63 MB
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Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance students, by showing them how to apply such techniques in the context of real-world empirical problems. Adopting a largely non-mathematical approach Analysis of Financial Data relies more on verbal intuition and graphical methods for understanding. Key features include: Coverage of many of the major tools used by the financial economist e.g. correlation, regression, time series analysis and methods for analyzing financial volatility. Extensive use of real data examples, which involves readers in hands-on computer work. Mathematical techniques at a level suited to MBA students and undergraduates taking a first course in the topic. Supplementary material for readers and lecturers provided on an accompanying website.

The African Journal of Finance and Management

Author :
File Size : 41.38 MB
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Microeconometrics Using Stata

Author : A. Colin Cameron
File Size : 31.76 MB
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This outstanding introduction to microeconometrics research using Stata offers the most complete and up-to-date survey of methods available. The authors address each topic with an in-depth example and demonstrate how to use Stata's programming features to implement methods for which the application does not have a specific command.

Stata Time series

Author : Stata Corporation
File Size : 30.91 MB
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Stata Reference Manual

Author : Stata Corporation
File Size : 29.2 MB
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Agricultural Finance Review

Author :
File Size : 69.77 MB
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