Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 9780521535380
Category : Business & Economics
Languages : en
Pages : 492
Book Description
An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.
Longitudinal and Panel Data
Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 9780521535380
Category : Business & Economics
Languages : en
Pages : 492
Book Description
An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.
Publisher: Cambridge University Press
ISBN: 9780521535380
Category : Business & Economics
Languages : en
Pages : 492
Book Description
An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.
The SAGE Handbook of Regression Analysis and Causal Inference
Author: Henning Best
Publisher: SAGE
ISBN: 1473908353
Category : Social Science
Languages : en
Pages : 425
Book Description
′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
Publisher: SAGE
ISBN: 1473908353
Category : Social Science
Languages : en
Pages : 425
Book Description
′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
Econometrics in Theory and Practice
Author: Panchanan Das
Publisher: Springer Nature
ISBN: 9813290196
Category : Business & Economics
Languages : en
Pages : 574
Book Description
This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.
Publisher: Springer Nature
ISBN: 9813290196
Category : Business & Economics
Languages : en
Pages : 574
Book Description
This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.
Financial Analysis, Planning And Forecasting: Theory And Application (Third Edition)
Author: Cheng Few Lee
Publisher: World Scientific Publishing Company
ISBN: 981472386X
Category : Business & Economics
Languages : en
Pages : 1390
Book Description
This book is an introduction-level text that reviews, discusses, and integrates both theoretical and practical corporate analysis and planning. The field can be divided into five parts: (1) Information and Methodology for Financial Analysis; (2) Alternative Finance Theories and Cost of Capital; (3) Capital Budgeting and Leasing Decisions; (4) Corporate Policies and their Interrelationships; (5) Financial Planning and Forecasting.The theories used and discussed in this book can be grouped into the following classical theoretical areas of corporate finance: (1) Pre-M&M Theory, (2) M&M Theory, (3) CAPM, and (4) Option Pricing Theory (OPT). The interrelationships among these theories are carefully analyzed. Real world examples are used to enrich the learning experience; and alternative planning and forecasting models are used to show how the interdisciplinary approach can be used to make meaningful financial-management decisions.In this third edition, we have extensively updated and expanded the topics of financial analysis, planning and forecasting. New chapters were added, and some chapters combined to present a holistic view of the subject and much of the data revised and updated.
Publisher: World Scientific Publishing Company
ISBN: 981472386X
Category : Business & Economics
Languages : en
Pages : 1390
Book Description
This book is an introduction-level text that reviews, discusses, and integrates both theoretical and practical corporate analysis and planning. The field can be divided into five parts: (1) Information and Methodology for Financial Analysis; (2) Alternative Finance Theories and Cost of Capital; (3) Capital Budgeting and Leasing Decisions; (4) Corporate Policies and their Interrelationships; (5) Financial Planning and Forecasting.The theories used and discussed in this book can be grouped into the following classical theoretical areas of corporate finance: (1) Pre-M&M Theory, (2) M&M Theory, (3) CAPM, and (4) Option Pricing Theory (OPT). The interrelationships among these theories are carefully analyzed. Real world examples are used to enrich the learning experience; and alternative planning and forecasting models are used to show how the interdisciplinary approach can be used to make meaningful financial-management decisions.In this third edition, we have extensively updated and expanded the topics of financial analysis, planning and forecasting. New chapters were added, and some chapters combined to present a holistic view of the subject and much of the data revised and updated.
Financial Econometrics, Mathematics and Statistics
Author: Cheng-Few Lee
Publisher: Springer
ISBN: 1493994298
Category : Business & Economics
Languages : en
Pages : 657
Book Description
This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments. Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics.
Publisher: Springer
ISBN: 1493994298
Category : Business & Economics
Languages : en
Pages : 657
Book Description
This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments. Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics.
Systematic Trading – The Official Guide to the CFST® Exam
Author: Alex Chaia
Publisher: Austin Macauley Publishers
ISBN: 1035815575
Category : Education
Languages : en
Pages : 215
Book Description
CFST® PROGRAM - THE CERTIFICATION THAT MATTERS The CFST® Exam certifies trading professionals across the globe, providing hedge funds, market makers and other financial institutions in the derivatives industry the confidence that their talents are up to date with the industry and can demonstrate the knowledge required for everyday tasks. Why would you ask for a CFST® Certificate? COMPLIANCE The test covers Trading Rules and Disciplinary procedures of multiple derivatives exchanges such as CME, LME, ICE, Eurex, B3, and the OTC regulations in critical jurisdictions. Successful applicants will demonstrate knowledge and control of the different regulations in multiple venues as require in a multi-asset business world. PRODUCT By covering multiple exchanges and OTC products trading characteristics and calculations, the test will certify that Traders and Brokers understand the differences and workings of each multiple product, qualifying them to be able to trade any derivative or to confidently deal with customer requirements in a wide range of product classes. QUANTITATIVE Level II of the CFST programme assesses candidate’s abilities with understanding the principles of algorithmic trading, strategy development and deployment. Questions will assess statistical, research, and infrastructure-related knowledge to certify a successful candidate to work in the industry. Enroll for the CFST® Exam: www.prometric.com/CFST Level I is designed to cover Compliance, Market Fundamentals and Economics, and is suitable for all professionals in the derivatives industry, including Back-Office, Compliance, Trading, Operations and Sales. Level II is designed to cover Derivatives Valuation, Risk Management and Algorithm Development and suitable for professionals in Risk, Trading and Strategy.
Publisher: Austin Macauley Publishers
ISBN: 1035815575
Category : Education
Languages : en
Pages : 215
Book Description
CFST® PROGRAM - THE CERTIFICATION THAT MATTERS The CFST® Exam certifies trading professionals across the globe, providing hedge funds, market makers and other financial institutions in the derivatives industry the confidence that their talents are up to date with the industry and can demonstrate the knowledge required for everyday tasks. Why would you ask for a CFST® Certificate? COMPLIANCE The test covers Trading Rules and Disciplinary procedures of multiple derivatives exchanges such as CME, LME, ICE, Eurex, B3, and the OTC regulations in critical jurisdictions. Successful applicants will demonstrate knowledge and control of the different regulations in multiple venues as require in a multi-asset business world. PRODUCT By covering multiple exchanges and OTC products trading characteristics and calculations, the test will certify that Traders and Brokers understand the differences and workings of each multiple product, qualifying them to be able to trade any derivative or to confidently deal with customer requirements in a wide range of product classes. QUANTITATIVE Level II of the CFST programme assesses candidate’s abilities with understanding the principles of algorithmic trading, strategy development and deployment. Questions will assess statistical, research, and infrastructure-related knowledge to certify a successful candidate to work in the industry. Enroll for the CFST® Exam: www.prometric.com/CFST Level I is designed to cover Compliance, Market Fundamentals and Economics, and is suitable for all professionals in the derivatives industry, including Back-Office, Compliance, Trading, Operations and Sales. Level II is designed to cover Derivatives Valuation, Risk Management and Algorithm Development and suitable for professionals in Risk, Trading and Strategy.
The President's Report to the Board of Regents for the Academic Year ... Financial Statement for the Fiscal Year
Author: University of Michigan
Publisher:
ISBN:
Category :
Languages : en
Pages : 500
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 500
Book Description
Financial and Actuarial Statistics
Author: Dale S. Borowiak
Publisher: CRC Press
ISBN: 0824748611
Category : Mathematics
Languages : en
Pages : 357
Book Description
Based on a loss function approach, this comprehensive reference reviews the most recent advances in financial and actuarial modeling, providing a strong statistical background for advanced methods in pension plan structuring, risk estimation, and modeling of investment and options pricing. An authoritative tool supplying every conceptual model and
Publisher: CRC Press
ISBN: 0824748611
Category : Mathematics
Languages : en
Pages : 357
Book Description
Based on a loss function approach, this comprehensive reference reviews the most recent advances in financial and actuarial modeling, providing a strong statistical background for advanced methods in pension plan structuring, risk estimation, and modeling of investment and options pricing. An authoritative tool supplying every conceptual model and
Applied Financial Econometrics
Author: Moinak Maiti
Publisher: Springer Nature
ISBN: 9811640637
Category : Business & Economics
Languages : en
Pages : 287
Book Description
This textbook gives students an approachable, down to earth resource for the study of financial econometrics. While the subject can be intimidating, primarily due to the mathematics and modelling involved, it is rewarding for students of finance and can be taught and learned in a straightforward way. This book, going from basics to high level concepts, offers knowledge of econometrics that is intended to be used with confidence in the real world. This book will be beneficial for both students and tutors who are associated with econometrics subjects at any level.
Publisher: Springer Nature
ISBN: 9811640637
Category : Business & Economics
Languages : en
Pages : 287
Book Description
This textbook gives students an approachable, down to earth resource for the study of financial econometrics. While the subject can be intimidating, primarily due to the mathematics and modelling involved, it is rewarding for students of finance and can be taught and learned in a straightforward way. This book, going from basics to high level concepts, offers knowledge of econometrics that is intended to be used with confidence in the real world. This book will be beneficial for both students and tutors who are associated with econometrics subjects at any level.
Financial Econometrics
Author: Peijie Wang
Publisher: Routledge
ISBN: 1134091451
Category : Business & Economics
Languages : en
Pages : 337
Book Description
This book provides an essential toolkit for all students wishing to know more about the modelling and analysis of financial data. Applications of econometric techniques are becoming increasingly common in the world of finance and this second edition of an established text covers the following key themes:- unit roots, cointegration and other develop
Publisher: Routledge
ISBN: 1134091451
Category : Business & Economics
Languages : en
Pages : 337
Book Description
This book provides an essential toolkit for all students wishing to know more about the modelling and analysis of financial data. Applications of econometric techniques are becoming increasingly common in the world of finance and this second edition of an established text covers the following key themes:- unit roots, cointegration and other develop