Workbook on Cointegration

Workbook on Cointegration
Author: Peter Reinhard Hansen
Publisher: Oxford University Press, USA
Total Pages: 178
Release: 1998
Genre: Business & Economics
ISBN: 9780198776086

Aimed at graduates and researchers in economics and econometrics, this is a comprehesive exposition of Soren Johansen's remarkable contribution to the theory of cointegration analysis.

Unit Roots, Cointegration, and Structural Change

Unit Roots, Cointegration, and Structural Change
Author: G. S. Maddala
Publisher: Cambridge University Press
Total Pages: 528
Release: 1998
Genre: Business & Economics
ISBN: 9780521587822

A comprehensive review of unit roots, cointegration and structural change from a best-selling author.

Cointegration, Causality, and Forecasting

Cointegration, Causality, and Forecasting
Author: Halbert White
Publisher: Oxford University Press, USA
Total Pages: 512
Release: 1999
Genre: Business & Economics
ISBN: 9780198296836

A collection of essays in honour of Clive Granger. The chapters are by some of the world's leading econometricians, all of whom have collaborated with and/or studied with both) Clive Granger. Central themes of Granger's work are reflected in the book with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecast evaluation, non-linear and non-parametric econometric techniques, and overall, a careful blend of practical empirical work and strong theory. The book shows the scope of Granger's research and the range of the profession that has been influenced by his work.

The Cointegrated VAR Model

The Cointegrated VAR Model
Author: Katarina Juselius
Publisher: OUP Oxford
Total Pages: 478
Release: 2006-12-07
Genre: Business & Economics
ISBN: 0191622966

This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the Cointegrated VAR model and its implications for macroeconomic inference when data are non-stationary. The text provides a number of insights into the links between statistical econometric modelling and economic theory and gives a thorough treatment of identification of the long-run and short-run structure as well as of the common stochastic trends and the impulse response functions, providing in each case illustrations of applicability. This book presents the main ingredients of the Copenhagen School of Time-Series Econometrics in a transparent and coherent framework. The distinguishing feature of this school is that econometric theory and applications have been developed in close cooperation. The guiding principle is that good econometric work should take econometrics, institutions, and economics seriously. The author uses a single data set throughout most of the book to guide the reader through the econometric theory while also revealing the full implications for the underlying economic model. To test ensure full understanding the book concludes with the introduction of two new data sets to combine readers understanding of econometric theory and economic models, with economic reality.

Cointegration

Cointegration
Author: Bhaskara B. Rao
Publisher: Springer
Total Pages: 247
Release: 2016-07-27
Genre: Business & Economics
ISBN: 1349235296

`This most commendable volume brings together a set of papers which permits ready access to the means of estimating quantitative relationships using cointegration and error correction procedures. Providing the data to show fully the basis for calculation, this approach is an excellent perception of the needs of senior undergraduates and graduate students.' - Professor W.P. Hogan, The University of Sydney Applied economists, with modest econometric background, are now desperately looking for expository literature on the unit roots and cointegration techniques. This volume of expository essays is written for them. It explains in a simple style various tests for the existence of unit roots and how to estimate cointegration relationships. Original data are given to enable easy replications. Limitations of some existing unit root tests are also discussed.

Likelihood-based Inference in Cointegrated Vector Autoregressive Models

Likelihood-based Inference in Cointegrated Vector Autoregressive Models
Author: Søren Johansen
Publisher: Oxford University Press, USA
Total Pages: 280
Release: 1995
Genre: Business & Economics
ISBN: 0198774508

This monograph is concerned with the statistical analysis of multivariate systems of non-stationary time series of type I. It applies the concepts of cointegration and common trends in the framework of the Gaussian vector autoregressive model.

Cointegration and Long-Horizon Forecasting

Cointegration and Long-Horizon Forecasting
Author: Mr.Peter F. Christoffersen
Publisher: International Monetary Fund
Total Pages: 31
Release: 1997-05-01
Genre: Business & Economics
ISBN: 1451848137

Imposing cointegration on a forecasting system, if cointegration is present, is believed to improve long-horizon forecasts. Contrary to this belief, at long horizons nothing is lost by ignoring cointegration when the forecasts are evaluated using standard multivariate forecast accuracy measures. In fact, simple univariate Box-Jenkins forecasts are just as accurate. Our results highlight a potentially important deficiency of standard forecast accuracy measures—they fail to value the maintenance of cointegrating relationships among variables—and we suggest alternatives that explicitly do so.

Financial Modeling of the Equity Market

Financial Modeling of the Equity Market
Author: Frank J. Fabozzi
Publisher: John Wiley & Sons
Total Pages: 673
Release: 2006-03-31
Genre: Business & Economics
ISBN: 0470037695

An inside look at modern approaches to modeling equity portfolios Financial Modeling of the Equity Market is the most comprehensive, up-to-date guide to modeling equity portfolios. The book is intended for a wide range of quantitative analysts, practitioners, and students of finance. Without sacrificing mathematical rigor, it presents arguments in a concise and clear style with a wealth of real-world examples and practical simulations. This book presents all the major approaches to single-period return analysis, including modeling, estimation, and optimization issues. It covers both static and dynamic factor analysis, regime shifts, long-run modeling, and cointegration. Estimation issues, including dimensionality reduction, Bayesian estimates, the Black-Litterman model, and random coefficient models, are also covered in depth. Important advances in transaction cost measurement and modeling, robust optimization, and recent developments in optimization with higher moments are also discussed. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm, The Intertek Group. He is a member of the editorial board of the Journal of Portfolio Management. He is also the author of numerous articles and books on financial modeling. Petter N. Kolm, PhD (New Haven, CT and New York, NY), is a graduate student in finance at the Yale School of Management and a financial consultant in New York City. Previously, he worked in the Quantitative Strategies Group of Goldman Sachs Asset Management, where he developed quantitative investment models and strategies.