Asymptotics for Fractional Processes
Oxford University Press (Verlag)
978-0-19-895517-7 (ISBN)
This book features the weak convergence of normalized partial sums to fractional Brownian motion and the limiting distribution of stochastic integrals where both the integrand and the integrator processes exhibit either long memory or antipersistence. It also covers applications to cointegration analysis and the treatment of dependent shock processes and includes chapters on the harmonic analysis of fractional models and local-to-unity autoregression.
James Davidson is Professor of Econometrics (Emeritus) at the University of Exeter. He graduated from the University of Birmingham in 1973 and received an MSc in Mathematical Economics and Econometrics from the London School of Economics and Political Science (LSE) in 1975. Since then, he has held teaching posts at the University of Warwick, LSE, the University of Wales Aberystwyth, Cardiff University, and the University of Exeter as well as visiting positions at the University of California Berkeley, the University of California San Diego, Hong Kong University of Science and Technology, and Central European University. Davidson is the author of Stochastic Limit Theory (Second Edition, 2021), Introduction to Econometric Theory (2018), and Econometric Theory (2000).
1: The Fractional Model
2: Fractional Asymptotics
3: The FCLT for Fractional Processes
4: The Fractional Covariance
5: Stochastic Integrals
6: Weak Convergence of Integrals
7: Fractional Cointegration
8: Autocorrelated Shocks
9: Frequency Domain Analysis
10: Autoregressive Roots near Unity
A: Appendix: Useful Results
B: Appendix: Identities and Integral Solutions
References
Index
| Erscheinungsdatum | 03.07.2025 |
|---|---|
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 156 x 14 mm |
| Gewicht | 470 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie | |
| ISBN-10 | 0-19-895517-0 / 0198955170 |
| ISBN-13 | 978-0-19-895517-7 / 9780198955177 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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