This book brings together cutting edge contributions in the fields of international economics, micro theory, welfare economics and econometrics, with contributions from Donald R. Davis, Avinash K. Dixit, Tadashi Inoue, Ronald W. Jones, Dale W. Jorgenson, K. Rao Kadiyala, Murray C. Kemp, Kenneth M. Kletzer, Anne O. Krueger, Mukul Majumdar, Daniel McFadden, Lionel McKenzie, James R. Melvin, James C. Moore, Takashi Negishi, Yoshihiko Otani, Raymond Riezman, Paul A. Samuelson, Joaquim Silvestre and Marie Thursby.

News Professor Cheng-Few Lee ranks #1 based on his publications in the 26 core finance journals, and #163 based on publications in the 7 leading finance journals (Source: Most Prolific Authors in the Finance Literature: 1959-2008 by Jean L Heck and Philip L Cooley (Saint Joseph's University and Trinity University).This is an extensively revised edition of a popular statistics textbook for business and economics students. The first edition has been adopted by universities and colleges worldwide, including New York University, Carnegie Mellon University and UCLA.Designed for upper-level undergraduates, MBA and other graduate students, this book closely integrates various statistical techniques with concepts from business, economics and finance and clearly demonstrates the power of statistical methods in the real world of business. While maintaining the essence of the first edition, the new edition places more emphasis on finance, economics and accounting concepts with updated sample data. Students will find this book very accessible with its straightforward language, ample cases, examples, illustrations and real-life applications. The book is also useful for financial analysts and portfolio managers.

Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability distributions to describe asset returns. Traditionally, this has meant the multivariate normal (or Gaussian) distribution. More recently, theoretical and empirical work in financial economics has employed the multivariate Student (and other) distributions which are members of the elliptically symmetric class. There is also a growing body of work which is based on skew-elliptical distributions. These probability models all exhibit the property that the marginal distributions differ only by location and scale parameters or are restrictive in other respects. Very often, such models are not supported by the empirical evidence that the marginal distributions of asset returns can differ markedly. Copula theory is a branch of statistics which provides powerful methods to overcome these shortcomings. This book provides a synthesis of the latest research in the area of copulae as applied to finance and related subjects such as insurance. Multivariate non-Gaussian dependence is a fact of life for many problems in financial econometrics. This book describes the state of the art in tools required to deal with these observed features of financial data. This book was originally published as a special issue of the European Journal of Finance.

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described.

The author begins with basic characteristics of financial time series data before covering three main topics: Analysis and application of univariate financial time seriesThe return series of multiple assetsBayesian inference in finance methods

Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets.

The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.

Human behavior often violates the predictions of rational choice theory. This realization has caused many social psychologists and experimental economists to attempt to develop an experimentally-based variant of game theory as an alternative descriptive model. The impetus for this book is the interest in the development of such a theory that combines elements from both disciplines and appeals to both.
The editors have brought together leading researchers in the fields of experimental economics, behavioral game theory, and social dilemmas to engage in constructive dialogue across disciplinary boundaries. This book offers a comprehensive overview of the new insights into the motivation of human behavior under a variety of naturally or artificially induced incentive structures that are emerging from their work. Amnon Rapoport--a pioneer and leader in experimental study and quantitative modeling of human decisions in social and interactive contexts--is honored.

Meghnad Desai's work presents a significant challenge to economics as currently practised. Poverty, Famine and Economic Development brings together essays which reflect his long-standing interest in economic development. Issues discussed include econometric testing of the disguised unemployment hypothesis, theoretical and applied approaches to famine, poverty in rich as well as poor countries, poverty in Latin America and state involvement in economic development. The volume also includes a discussion of the essay by Lenin which was the basis of the 'New Economic Policy', the first attempt at Market Socialism in the Soviet Union. The volume also includes a substantial autobiographical preface, in which Lord Desai explains how he became an economist and the influences behind the development of his thought, as well as a specific introduction explaining how he came to produce the papers included in this volume.

Turbulence in Economics presents the economy as an evolutionary process, economics as a realistic science and reintroduces history as fundamental to understanding economic processes. It examines cycles and fluctuations in economic history from the point of view of turbulence in the physical sciences, (specifically hydrodynamics), and argues that an evolutionary approach is required for a better understanding of historical economic processes. Economic time is marked by a succession of long periods of economic expansion and depression, separated by deep structural changes. These periods represent distinct forms of organization of social relations, science and technology, cultural trends and political and social institutions. This is accepted by historians but rejected in orthodox economics. In this book the author challenges this and argues that the divorce between economics and history limits the ability of economics to explain reality. Within this inquiry into the crisis of orthodox economics the author considers Keynes's, Mitchell's and Schumpeter's critiques of neoclassical economics. The author then compares these to the contributions of Frisch and Wicksell, and examines recent studies of chaos, nonlinear and complex dynamics to explain the historical development of modern economics. This book will be welcomed by economic historians, historians of economic thought, institutional and evolutionary economists and those interested in chaos, complexity and modern methodology.

This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This work offers discussions on such areas as the function of statistics in aggregation, income inequality, poverty, health, spatial econometrics, panel and survey data, bootstrapping and time series.

This is a classical reprint edition of the original 1971 edition of An Introduction to Bayesian Inference in Economics. This historical volume is an early introduction to Bayesian inference and methodology which still has lasting value for today's statistician and student. The coverage ranges from the fundamental concepts and operations of Bayesian inference to analysis of applications in specific econometric problems and the testing of hypotheses and models.

The rich, multi-faceted and multi-disciplinary field of matching-based market design is an active and important one due to its highly successful applications with economic and sociological impact. Its home is economics, but with intimate connections to algorithm design and operations research. With chapters contributed by over fifty top researchers from all three disciplines, this volume is unique in its breadth and depth, while still being a cohesive and unified picture of the field, suitable for the uninitiated as well as the expert. It explains the dominant ideas from computer science and economics underlying the most important results on market design and introduces the main algorithmic questions and combinatorial structures. Methodologies and applications from both the pre-Internet and post-Internet eras are covered in detail. Key chapters discuss the basic notions of efficiency, fairness and incentives, and the way market design seeks solutions guided by normative criteria borrowed from social choice theory.

Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation.

IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management.

This study, first published in 1979, examines and contrasts two concepts of credit rationing. The first concept takes the relevant price of credit to be the explicit interest rate on the loan and defines the demand for credit as the amount an individual borrower would like to receive at that rate. Under the alternative definition, the price of credit consists of the complete set of loan terms confronting a class of borrowers with given characteristics, while the demand for credit equals the total number of loan which members of the class would like to receive at those terms. This title will be of interest to students of monetary economics.

Business students need the ability to think statistically about how to deal with uncertainty and its effect on decision-making in business and management. Traditional statistics courses and textbooks tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the needs of future managers. Statistical Thinking in Business, Second Edition responds to the growing recognition that we must change the way business statistics is taught. It shows how statistics is important in all aspects of business and equips students with the skills they need to make sensible use of data and other information. The authors take an interactive, scenario-based approach and use almost no mathematical formulas, opting to use Excel for the technical work. This allows them to focus on using statistics to aid decision-making rather than how to perform routine calculations. New in the Second Edition A completely revised chapter on forecasting Re-arrangement of the material on data presentation with the inclusion of histograms and cumulative line plots A more thorough discussion of the analysis of attribute data Coverage of variable selection and model building in multiple regression End-of-chapter summaries More end-of-chapter problems A variety of case studies throughout the book The second edition also comes with a wealth of ancillary materials provided on downloadable resources packaged with the book. These include automatically-marked multiple-choice questions, answers to questions in the text, data sets, Excel experiments and demonstrations, an introduction to Excel, and the StiBstat Add-In for stem and leaf plots, box plots, distribution plots, control charts and summary statistics.

"Mathematics in Economics" is a valuable guide to the mathematical apparatus that underlies so much of modern economics. The approach to mathematics is rigorous and the mathematical techniques are always presented in the context of the economics problem they are used to solve. Students can therefore gain insight into, and familiarity with, the mathematical models and methods involved in the transition from "phenomenon" to quantitative statement.

Topics covered include: Sets and NumbersMatrices and VectorsModelling Consumer ChoiceDiscrete VariablesFunctionsEquilibriumEigenvalues and EigenvectorsLimits and their UsesContinuity and Its UsesPartial DifferentiationThe GradientTaylor's Theorem - An Approximation ToolEconomic Dynamics: Differential Equations.Each chapter ends with exercises designed to help students understand and practice the techniques they have learnt. The author has provided solutions to selected problems so that the book will function as an effective teaching tool on introductory courses in mathematics for economics, quantitative methods and for mathematicians taking a first course in economics. "Mathematics in Economics" has been developed from a course taught jointly by Ken Binmore (Professor of Economics) and Adam Ostaszewski (Senior Lecturer in Mathematics).

Originally published in 1984. This book brings together a reasonably complete set of results regarding the use of Constraint Item estimation procedures under the assumption of accurate specification. The analysis covers the case of all explanatory variables being non-stochastic as well as the case of identified simultaneous equations, with error terms known and unknown. Particular emphasis is given to the derivation of criteria for choosing the Constraint Item. Part 1 looks at the best CI estimators and Part 2 examines equation by equation estimation, considering forecasting accuracy.

Originally published in 1974. This book provides a rigorous and detailed introductory treatment of the theory of difference equations and their applications in the construction and analysis of dynamic economic models. It explains the theory of linear difference equations and various types of dynamic economic models are then analysed. Including plenty of examples of application throughout the text, it will be of use to those working in macroeconomics and econometrics.

This book undertakes a theoretical and econometric analysis of intense economic growth in selected European countries during the end of the twentieth century and the beginning of the twenty first. Focusing on the accelerated economic growth that occurred in Ireland, the Netherlands, Spain, and Turkey, this book investigates the determinants and consequences of this "miracle" growth and discusses them in context of growth and development processes observed in European market-type economies after the World War II. Using imperfect knowledge economics (IKE) as a theoretical framework to interpret the empirical results, this book provides a fresh theoretical perspective in comparison with current Neo-classical, Keynesian and institutional paradigms. With this systematic approach, the authors seek to provide a unified methodology for evaluating the phenomenon of intense economic growth that has heretofore been missing from the discipline. Combining diverse theoretical and methodological strategies to provide a holistic understanding of the historical process of economic change, this volume will be of interest to students and scholars of economic growth, econometrics, political economy, and the new institutional economics as well as policymakers.

Notions of probability and uncertainty have been increasingly prominant in modern economics. This book considers the philosophical and practical difficulties inherent in integrating these concepts into realistic economic situations. It outlines and evaluates the major developments, indicating where further work is needed.
This book addresses:
* probability, utility and rationality within current economic thought and practice
* concepts of ignorance and indeterminancy
* experimental economics
* econometrics, with particular reference inference and estimation.

The analysis, prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven partly by the need to analyze financial data. The five papers in this book describe those new developments from various viewpoints and are intended to be an introduction accessible to readers from a range of backgrounds. The book arises out of the second Seminaire European de Statistique (SEMSTAT) held in Oxford in December 1994. This brought together young statisticians from across Europe, and a series of introductory lectures were given on topics at the forefront of current research activity. The lectures form the basis for the five papers contained in the book. The papers by Shephard and Johansen deal respectively with time series models for volatility, i.e. variance heterogeneity, and with cointegration. Clements and Hendry analyze the nature of prediction errors. A complementary review paper by Laird gives a biometrical view of the analysis of short time series. Finally Astrup and Nielsen give a mathematical introduction to the study of option pricing. Whilst the book draws its primary motivation from financial series and from multivariate econometric modelling, the applications are potentially much broader.

This book studies the information spillover among financial markets and explores the intraday effect and ACD models with high frequency data. This book also contributes theoretically by providing a new statistical methodology with comparative advantages for analyzing co-movements between two time series. It explores this new method by testing the information spillover between the Chinese stock market and the international market, futures market and spot market. Using the high frequency data, this book investigates the intraday effect and examines which type of ACD model is particularly suited in capturing financial duration dynamics. The book will be of invaluable use to scholars and graduate students interested in co-movements among different financial markets and financial market microstructure and to investors and regulation departments looking to improve their risk management.

Economic indicators provide invaluable insights into how different economies and financial markets are performing, enabling practitioners to adjust their investment strategies in order to gain knowledge about markets and to achieve higher returns. However, in order to make the right decisions, you must know how to interpret the relevant indicators. Using Economic Indicators in Analysing Financial Markets provides this important guidance. The first and second part of Using Economic Indicators in Analysing Financial Markets focuses on the short-term analysis, explaining exactly what the indicators are, why they are significant, where and when they are published, and how reliable they are. In the third part, author Bernd Krampen highlights medium and long-term economic trends: It is shown how some previously discussed and additional market indicators like stocks, bond yields, commodities can be employed as basis for forecasting both GDP growth and inflation. This includes the estimation of possible future recessions. In the fourth part the predominantly good forecast properties of sentiment indicators are illustrated examining the real estate market, which is rounded up by an introduction into psychology and Behavioural Finance providing further tips and tricks in analysing financial markets. Using Economic Indicators in Analysing Financial Markets is an invaluable resource for investors, strategists, policymakers, students, and private investors worldwide who want to understand the true meaning of the latest economic trends to make the best decisions for future profits on financial markets.

Volumes 45a and 45b of Advances in Econometrics honor Joon Y. Park, Wisnewsky Professor of Human Studies and Professor of Economics at Indiana University. Professor Park has made numerous and substantive contributions to the field of econometrics since beginning his academic career in the mid-1980s and has held positions at Cornell University, University of Toronto, Seoul National University, Rice University, Texas A&M University, and Sungkyunkwan University. This first volume, Essays in Honor of Joon Y. Park: Econometric Theory, features contributions to econometric theory related to Professor Park’s analysis of time series and particularly related to the research of the first two or so decades of his career.

This book discusses market microstructure environment within the context of the global financial crisis. In the first part, the market microstructure theory is recalled and the main microstructure models and hypotheses are discussed. The second part focuses on the main effects of the financial downturn through an examination of market microstructure dynamics. In particular, the effects of market imperfections and the limitations associated with microstructure models are discussed. Finally, the new regulations and recent developments for financial markets that aim to improve the market microstructure are discussed. Well-known experts on the subject contribute to the chapters in the book. A must-read for academic researchers, students and quantitative practitioners.

Comprising of seven up-to-date comprehensive surveys from leading scholars in Econometrics, this book follows the format of the highly successful book, "Surveys in Econometrics," edited by Oxley, et al. (Blackwell Publishers 1995).

This collection is a unique resource for advanced undergraduate and postgraduate students on quantitative/econometrics courses, as well as a wider range of academics and professional economists.

The contributions consider a range of contemporary topics from the area of cointegration and unit root testing where empirical examples are used wherever possible to illustrate the issue at hand. The topics range from issues associated with seasonality and cointegration, to panel unit root tests and the econometrics of I(2) processes.