Routledge Advanced Texts in Economics and Finance – serie

Applied Econometrics: A Practical Guide is an extremely user-friendly and application-focused book on econometrics. Unlike many econometrics textbooks which are heavily theoretical on abstractions, this book is perfect for beginners and promises simplicity and practicality to the understanding of econometric models. Written in an easy-to-read manner, the book begins with hypothesis testing and moves forth to simple and multiple regression models. It also includes advanced topics:Endogeneity and Two-stage Least SquaresSimultaneous Equations ModelsPanel Data ModelsQualitative and Limited Dependent Variable ModelsVector Autoregressive (VAR) ModelsAutocorrelation and ARCH/GARCH ModelsUnit Root and CointegrationThe book also illustrates the use of computer software (EViews, SAS and R) for economic estimating and modeling. Its practical applications make the book an instrumental, go-to guide for solid foundation in the fundamentals of econometrics. In addition, this book includes excerpts from relevant articles published in top-tier academic journals. This integration of published articles helps the readers to understand how econometric models are applied to real-world use cases.

Applied Econometrics: A Practical Guide is an extremely user-friendly and application-focused book on econometrics. Unlike many econometrics textbooks which are heavily theoretical on abstractions, this book is perfect for beginners and promises simplicity and practicality to the understanding of econometric models. Written in an easy-to-read manner, the book begins with hypothesis testing and moves forth to simple and multiple regression models. It also includes advanced topics:Endogeneity and Two-stage Least SquaresSimultaneous Equations ModelsPanel Data ModelsQualitative and Limited Dependent Variable ModelsVector Autoregressive (VAR) ModelsAutocorrelation and ARCH/GARCH ModelsUnit Root and CointegrationThe book also illustrates the use of computer software (EViews, SAS and R) for economic estimating and modeling. Its practical applications make the book an instrumental, go-to guide for solid foundation in the fundamentals of econometrics. In addition, this book includes excerpts from relevant articles published in top-tier academic journals. This integration of published articles helps the readers to understand how econometric models are applied to real-world use cases.

In the last three decades since the fall of the Berlin Wall, there has been a vast amount of study looking at transforming the planned economy to a market economy from both theoretical and empirical aspects. This book provides an overview and insight into transition economies in the recent decades and looks at key economics topics from the so-called “transition strategy debate” to environmental reform.The book also includes an analytical review and meta-analysis of the existing literature. By integrating theoretical discussions and synthesizing empirical findings in a systematic manner, this book may help to enlighten the debate on the timing, speed, and policy sequence of economic transition.The book will particularly appeal to researchers, policy makers, other practitioners, and under- and post-graduate students who are interested in transition economies in Eastern Europe, the former Soviet Union, Southeast Asia, and China. It aims to be read as an advanced reader.

In the last three decades since the fall of the Berlin Wall, there has been a vast amount of study looking at transforming the planned economy to a market economy from both theoretical and empirical aspects. This book provides an overview and insight into transition economies in the recent decades and looks at key economics topics from the so-called “transition strategy debate” to environmental reform.The book also includes an analytical review and meta-analysis of the existing literature. By integrating theoretical discussions and synthesizing empirical findings in a systematic manner, this book may help to enlighten the debate on the timing, speed, and policy sequence of economic transition.The book will particularly appeal to researchers, policy makers, other practitioners, and under- and post-graduate students who are interested in transition economies in Eastern Europe, the former Soviet Union, Southeast Asia, and China. It aims to be read as an advanced reader.

An Introduction to Economic Dynamics provides a framework for students to appreciate and understand the basic intuition behind economic models and to experiment with those models using simulation techniques in MATLAB®. This book goes beyond the often-limited scope of other texts on economic models, which have largely focused on elucidating static equilibrium models. Comparative static analysis inhibits students from asking how the equilibrium position is achieved from an initial out-of-equilibrium position and limits their understanding of the dynamics that underlie such analysis. In this textbook, readers are introduced to ten well-established macroeconomic models – including Keynesian multiplier models, Samuelson’s multiplier and Solow’s growth model – and guided through the dynamical systems behind each model. Every chapter begins with an overview of the economic problem which the model is designed to help solve followed by an explanation of the mathematics of the model. Solutions are provided using simulation and visualisation techniques in MATLAB®, which are interwoven organically with the analysis and are introduced in a step-by-step fashion to guide the reader along the way. Appendices provide an introduction to MATLAB® along with all the necessary codes. The book is ideally suited for courses in economic dynamics, macroeconomic modelling and computational economics, as well as for students of finance, mathematics and engineering who are interested in economic models.

An Introduction to Economic Dynamics provides a framework for students to appreciate and understand the basic intuition behind economic models and to experiment with those models using simulation techniques in MATLAB®. This book goes beyond the often-limited scope of other texts on economic models, which have largely focused on elucidating static equilibrium models. Comparative static analysis inhibits students from asking how the equilibrium position is achieved from an initial out-of-equilibrium position and limits their understanding of the dynamics that underlie such analysis. In this textbook, readers are introduced to ten well-established macroeconomic models – including Keynesian multiplier models, Samuelson’s multiplier and Solow’s growth model – and guided through the dynamical systems behind each model. Every chapter begins with an overview of the economic problem which the model is designed to help solve followed by an explanation of the mathematics of the model. Solutions are provided using simulation and visualisation techniques in MATLAB®, which are interwoven organically with the analysis and are introduced in a step-by-step fashion to guide the reader along the way. Appendices provide an introduction to MATLAB® along with all the necessary codes. The book is ideally suited for courses in economic dynamics, macroeconomic modelling and computational economics, as well as for students of finance, mathematics and engineering who are interested in economic models.

This book is an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools. It introduces readers to the fundamentals of stochastic frontier analysis (SFA) and gradually takes them to the forefront of academic research in this area, examining the latest concepts and methods related to the use of copulas in SFA.Following a comprehensive review of classic methodology, Professor Artem Prokhorov covers topics in panel data modeling, in endogeneity in SFA, in joint modeling of technical and allocative inefficiency, and in optimal and robust prediction of inefficiency scores. This is done using copulas to capture various kinds of statistical dependence that have been previously ignored when modeling production. The classic and advanced topics are illustrated using practical examples and codes written in modern programming languages. As an important example, the book spells out the case where both the values of output and the ratio of inputs used in production are optimized simultaneously. Such simultaneity, if ignored, leads to biased estimates of productivity and returns-to-scale and may understate inefficiency.The book offers a useful reference for those interested in the newest robust methods of business analytics in the area of productivity and efficiency, with implications for strategy, budgeting, resourcing and benchmarking of firms, industries and production units more generally.

This book is an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools. It introduces readers to the fundamentals of stochastic frontier analysis (SFA) and gradually takes them to the forefront of academic research in this area, examining the latest concepts and methods related to the use of copulas in SFA.Following a comprehensive review of classic methodology, Professor Artem Prokhorov covers topics in panel data modeling, in endogeneity in SFA, in joint modeling of technical and allocative inefficiency, and in optimal and robust prediction of inefficiency scores. This is done using copulas to capture various kinds of statistical dependence that have been previously ignored when modeling production. The classic and advanced topics are illustrated using practical examples and codes written in modern programming languages. As an important example, the book spells out the case where both the values of output and the ratio of inputs used in production are optimized simultaneously. Such simultaneity, if ignored, leads to biased estimates of productivity and returns-to-scale and may understate inefficiency.The book offers a useful reference for those interested in the newest robust methods of business analytics in the area of productivity and efficiency, with implications for strategy, budgeting, resourcing and benchmarking of firms, industries and production units more generally.

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.

This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data.Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.

This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data.Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.

Financial Risk Management and Derivative Instruments offers an introduction to the riskiness of stock markets and the application of derivative instruments in managing exposure to such risk. Structured in two parts, the first part offers an introduction to stock market and bond market risk as encountered by investors seeking investment growth. The second part of the text introduces the financial derivative instruments that provide for either a reduced exposure (hedging) or an increased exposure (speculation) to market risk. The fundamental aspects of the futures and options derivative markets and the tools of the Black-Scholes model are examined.The text sets the topics in their global context, referencing financial shocks such as Brexit and the Covid-19 pandemic. An accessible writing style is supported by pedagogical features such as key insights boxes, progressive illustrative examples and end-of-chapter tutorials. The book is supplemented by PowerPoint slides designed to assist presentation of the text material as well as providing a coherent summary of the lectures.This textbook provides an ideal text for introductory courses to derivative instruments and financial risk management for either undergraduate, masters or MBA students.

Financial Risk Management and Derivative Instruments offers an introduction to the riskiness of stock markets and the application of derivative instruments in managing exposure to such risk. Structured in two parts, the first part offers an introduction to stock market and bond market risk as encountered by investors seeking investment growth. The second part of the text introduces the financial derivative instruments that provide for either a reduced exposure (hedging) or an increased exposure (speculation) to market risk. The fundamental aspects of the futures and options derivative markets and the tools of the Black-Scholes model are examined.The text sets the topics in their global context, referencing financial shocks such as Brexit and the Covid-19 pandemic. An accessible writing style is supported by pedagogical features such as key insights boxes, progressive illustrative examples and end-of-chapter tutorials. The book is supplemented by PowerPoint slides designed to assist presentation of the text material as well as providing a coherent summary of the lectures.This textbook provides an ideal text for introductory courses to derivative instruments and financial risk management for either undergraduate, masters or MBA students.

This book which provides an overview of contemporary topics related to the modelling of financial time series, is set against a backdrop of rapid expansions of interest in both the models themselves and the financial problems to which they are applied.This excellent textbook covers all the major developments in the area in recent years in an informative as well as succinct way.Refreshingly, every chapter has a section of two or more examples and a section of empirical literature, offering the reader the opportunity to practice the kind of research going on in the area. This approach helps the reader develop interest, confidence and momentum in learning contemporary econometric topics

This book which provides an overview of contemporary topics related to the modelling of financial time series, is set against a backdrop of rapid expansions of interest in both the models themselves and the financial problems to which they are applied.This excellent textbook covers all the major developments in the area in recent years in an informative as well as succinct way.Refreshingly, every chapter has a section of two or more examples and a section of empirical literature, offering the reader the opportunity to practice the kind of research going on in the area. This approach helps the reader develop interest, confidence and momentum in learning contemporary econometric topics

This comprehensively revised and updated edition develops the themes presented in the first edition. Students and teachers who are familiar with the book will notice entirely new chapters as well as significant revision and uptating of existing chapters to take into account global economic changes since the turn of the millennium. With questions for discussion and excellent use of case studies, the book covers such themes as:* standard closed and open macroeconomic models* a full evaluation of the post-Washington consensus model* IMF stabilization programs and their effects on developing economies* the pressing problems of indebtedness* financial sector reforms in developing countries.This informative textbook is the ideal accompaniment for students of development economics and it will prove popular with lecturers and academics alike.

This comprehensively revised and updated edition develops the themes contained in the first edition. Students and teachers who are familiar with the book will notice that half of the chapters are entirely new, with the other half having changed significantly to take into account the changes that have occurred in the global economy since the turn of the millennium.With questions for discussion and excellent use of case studies, the book covers such themes as:*standard closed and open macroeconomic models*a full evaluation of the post-Washington consensus model*IMF stabilization programs and their effects on developing economies*the pressing problems of indebtedness*financial sector reforms in developing countriesThis informative, accessible and lucid textbook is the ideal accompaniment for students of development economics and it will prove popular with lecturers and academics alike.

When learning econometrics, what better way than to be taught by one of its masters. In this significant new volume, John Chipman, the eminence grise of econometrics, presents his classic lectures in econometric theory.Starting with the linear regression model, least squares, Gauss-Markov theory and the first principals of econometrics, this book guides the introductory student to an advanced stage of ability. The text covers multicollinearity and reduced-rank estimation, the treatment of linear restrictions and minimax estimation. Also included are chapters on the autocorrelation of residuals and simultaneous-equation estimation. By the end of the text, students will have a solid grounding in econometrics.Despite the frequent complexity of the subject matter, Chipman's clear explanations, concise prose and sharp analysis make this book stand out from others in the field. With mathematical rigor sharpened by a lifetime of econometric analysis, this significant volume is sure to become a seminal and indispensable text in this area.

When learning econometrics, what better way than to be taught by one of its masters. In this significant new volume, John Chipman, the eminence grise of econometrics, presents his classic lectures in econometric theory.Starting with the linear regression model, least squares, Gauss-Markov theory and the first principals of econometrics, this book guides the introductory student to an advanced stage of ability. The text covers multicollinearity and reduced-rank estimation, the treatment of linear restrictions and minimax estimation. Also included are chapters on the autocorrelation of residuals and simultaneous-equation estimation. By the end of the text, students will have a solid grounding in econometrics.Despite the frequent complexity of the subject matter, Chipman's clear explanations, concise prose and sharp analysis make this book stand out from others in the field. With mathematical rigor sharpened by a lifetime of econometric analysis, this significant volume is sure to become a seminal and indispensable text in this area.

This new text book by Urs Birchler and Monika Butler is an introduction to the study of how information affects economic relations. The authors provide a narrative treatment of the more formal concepts of Information Economics, using easy to understand and lively illustrations from film and literature and nutshell examples. The book first covers the economics of information in a 'man versus nature' context, explaining basic concepts like rational updating or the value of information. Then in a 'man versus man' setting, Birchler and Butler describe strategic issues in the use of information: the make-buy-or-copy decision, the working and failure of markets and the important role of outguessing each other in a macroeconomic context. It closes with a 'man versus himself' perspective, focusing on information management within the individual. This book also comes with a supporting website (www.alicebob.info), maintained by the authors.

This new text book by Urs Birchler and Monika Butler is an introduction to the study of how information affects economic relations. The authors provide a narrative treatment of the more formal concepts of Information Economics, using easy to understand and lively illustrations from film and literature and nutshell examples. The book first covers the economics of information in a 'man versus nature' context, explaining basic concepts like rational updating or the value of information. Then in a 'man versus man' setting, Birchler and Butler describe strategic issues in the use of information: the make-buy-or-copy decision, the working and failure of markets and the important role of outguessing each other in a macroeconomic context. It closes with a 'man versus himself' perspective, focusing on information management within the individual. This book also comes with a supporting website (www.alicebob.info), maintained by the authors.

There is an ever-increasing interest in the question of how and why legal norms can effectively guide human action. This compact volume demonstrates how economic tools can be used to examine this question and scrutinize these legal norms. Indeed, this is one of the first text to be based on civil law instead of the more usual common law, situating the study of both private and public law within the framework of institutional economics, with recommendations for further reading and a list of key terms in each chapter. Besides the standard economic problems in property, tort, contract, crime and litigation, areas covered include: new institutional economicspublic choiceconstitutional lawpublic administrationsregulatory impact analysis.This book is essential reading for students in law schools and economics departments alike, particularly those engaged with the methodology of law and economics, applied economics and economic methods of legal policy.

There is an ever-increasing interest in the question of how and why legal norms can effectively guide human action. This compact volume demonstrates how economic tools can be used to examine this question and scrutinize these legal norms. Indeed, this is one of the first text to be based on civil law instead of the more usual common law, situating the study of both private and public law within the framework of institutional economics, with recommendations for further reading and a list of key terms in each chapter. Besides the standard economic problems in property, tort, contract, crime and litigation, areas covered include: new institutional economicspublic choiceconstitutional lawpublic administrationsregulatory impact analysis.This book is essential reading for students in law schools and economics departments alike, particularly those engaged with the methodology of law and economics, applied economics and economic methods of legal policy.

Written in a rigorous yet logical and easy to use style, spanning a range of disciplines, including business, mathematics, finance and economics, this comprehensive textbook offers a systematic, self-sufficient yet concise presentation of the main topics and related parts of stochastic analysis and statistical finance that are covered in the majority of university programmes.Providing all explanations of basic concepts and results with proofs and numerous examples and problems, it includes: an introduction to probability theorya detailed study of discrete and continuous time market modelsa comprehensive review of Ito calculus and statistical methods as a basis for statistical estimation of models for pricinga detailed discussion of options and their pricing, including American options in a continuous time setting.An excellent introduction to the topic, this textbook is an essential resource for all students on undergraduate and postgraduate courses and advanced degree programs in econometrics, finance, applied mathematics and mathematical modelling as well as academics and practitioners.

Written in a rigorous yet logical and easy to use style, spanning a range of disciplines, including business, mathematics, finance and economics, this comprehensive textbook offers a systematic, self-sufficient yet concise presentation of the main topics and related parts of stochastic analysis and statistical finance that are covered in the majority of university programmes.Providing all explanations of basic concepts and results with proofs and numerous examples and problems, it includes: an introduction to probability theorya detailed study of discrete and continuous time market modelsa comprehensive review of Ito calculus and statistical methods as a basis for statistical estimation of models for pricinga detailed discussion of options and their pricing, including American options in a continuous time setting.An excellent introduction to the topic, this textbook is an essential resource for all students on undergraduate and postgraduate courses and advanced degree programs in econometrics, finance, applied mathematics and mathematical modelling as well as academics and practitioners.