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9780521710091: The Econometric Modelling of Financial Time Series

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This third edition contains the latest research techniques and findings relating to the empirical analysis of financial markets.

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About the Authors

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.

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9780521883818: The Econometric Modelling of Financial Time Series

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Paperback. Condition: new. Paperback. 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. This best-selling graduate textbook provides detailed coverage of the latest research techniques and findings relating to the empirical analysis of financial markets. This third edition contains a wealth of material reflecting the developments of the last decade, including a new chapter on nonlinearity and its testing. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521710091

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