The Econometric Modelling of Financial Time Series

Häftad, Engelska, 2008

AvTerence C. Mills,Raphael N. Markellos,Terence C. (Loughborough University) Mills

779 kr

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Terence Mills' best-selling graduate textbook provides detailed coverage of research techniques and findings relating to the empirical analysis of financial markets. In its previous editions it has become required reading for many graduate courses on the econometrics of financial modelling. This third edition, co-authored with Raphael Markellos, contains a wealth of material reflecting the developments of the last decade. Particular attention is paid to the wide range of nonlinear models that are used to analyse financial data observed at high frequencies and to the long memory characteristics found in financial time series. The central material on unit root processes and the modelling of trends and structural breaks has been substantially expanded into a chapter of its own. There is also an extended discussion of the treatment of volatility, accompanied by a new chapter on nonlinearity and its testing.

Produktinformation

Utgivningsdatum2008-03-20
Mått176 x 246 x 28 mm
Vikt750 g
FormatHäftad
SpråkEngelska
Antal sidor472
Upplaga3
FörlagCambridge University Press
ISBN9780521710091

Tillhör följande kategorier

Finansiering inom Ekonomi och Ledarskap
Mikroekonomi inom Ekonomi och Ledarskap

Terence C. Mills is Professor of Applied Statistics and Econometrics, Loughborough University. He is the co-editor of the Palgrave Handbook of Econometrics and has over 170 publications. Raphael N. Markellos is Professor of Quantitative Finance at Athens University of Economics and Business, and Visiting Research Fellow at the Centre for International Financial and Economic Research (CIFER), Loughborough University.

List of figures; List of tables; Preface to the third edition; 1. Introduction; 2. Univariate linear stochastic models: basic concepts; 3. Univariate linear stochastic models: testing for unit roots and alternative trend specifications; 4. Univariate linear stochastic models: further topics; 5. Univariate non-linear stochastic models: Martingales, random walks and modelling volatility; 6. Univariate non-linear stochastic models: Further models and testing procedures; 7. Modelling return distributions; 8. Regression techniques for non-integrated financial time series; 9. Regression techniques for integrated financial time series; 10. Further topics in the analysis of integrated financial time series; Data appendix; References.