Multivariate Modelling of Non-Stationary Economic Time Series
Palgrave Macmillan (Verlag)
978-0-230-24331-6 (ISBN)
Simon P. Burke studied econometrics at the University of Reading, UK. He has published in the International Journal of Forecasting, Journal of Financial Econometrics and The Oxford Bulletin of Economics & Statistics. He has taught econometrics, mathematics and statistics at Reading and Surrey Universities. John Hunter studied econometrics at the London School of Economics, UK, under Denis Sargan. He published recently in the International Review of Financial Analysis, Economic Modelling and developed the notion of Cointegrating Exogeneity. He taught econometrics and financial modelling at Brunel, City, Queen Mary, Southampton and Surrey. He has consulted for HM Treasury, Oftel, OFT and KPN Mobile. Alessandra Canepa studied econometrics at Southampton University, UK. She has published in Statistics & Probability Letters, the European Journal of Operational Research and Oxford Economic Papers. She currently lectures in econometrics and Risk Management at Brunel University, UK, and is a member of CARISMA in the Department of Mathematics at Brunel.
Chapter 1. Introduction: Time Series, Common Trends and Equilibrium.- Chapter 2. Multivariate Time Series.- Chapter 3. Cointegration.- Chapter 4. Testing for Cointegration: Under Standard and Non-Standard Conditions.- Chapter 5. Structure and Evaluation.- Chapter 6. Testing in VECMs with Small Sample.- Chapter 7. Heteroscedasticity and Multivariate Volatility.- Chapter 8. Models with Alternative Orders of Integration.- Chapter 9. The Structural Analysis of Time Series.
Erscheinungsdatum | 08.06.2017 |
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Reihe/Serie | Palgrave Texts in Econometrics | Palgrave Texts in Econometrics |
Zusatzinfo | XIII, 502 p. |
Verlagsort | Basingstoke |
Sprache | englisch |
Maße | 148 x 210 mm |
Themenwelt | Wirtschaft ► Allgemeines / Lexika |
Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie | |
Schlagworte | Cointegration • conventional time series • Econometrics • Economics • impulse responses • Integration • Kalman Filter • Modelling • Singular Spectrum Analysis (SSA) • small sample correction • stationary data • Structural Time Series • volatililty |
ISBN-10 | 0-230-24331-2 / 0230243312 |
ISBN-13 | 978-0-230-24331-6 / 9780230243316 |
Zustand | Neuware |
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