Oliver Linton

Time Series for Economics and Finance

• Gebundenes Buch

Produktbeschreibung

Written for advanced undergraduate and graduate students in economics and finance, this textbook provides comprehensive training in time series analysis using modern techniques from data science. Core material is enhanced with topical examples and challenging exercises to reinforce key concepts.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 450
• Erscheinungstermin: 31. Dezember 2024
• Englisch
• ISBN-13: 9781009396295
• ISBN-10: 1009396293
• Artikelnr.: 72111901

Autorenporträt

Oliver Linton is Chair of the Faculty of Economics, a Fellow of Trinity College, and Professor of Political Economy at the University of Cambridge. He has published two books and nearly 200 hundred articles on econometrics, statistics, and empirical finance. He was President of the Society for Financial Econometrics from 2021 to 2023 and is a Fellow of the Econometric Society, the Institute of Mathematical Statistics, and the British Academy.

Inhaltsangabe

Preface
1 Introduction
2. Stationarity and mixing
3. Linear time series models
4. Spectral analysis
5. Inference under heterogeneity and weak dependence
6. Nonstationary processed, trends and seasonality
7. Multivariate linear time series
8. Stae space models and Kalman filter
9. Bayesian methods
10. Nonlinear time series models
11. Nonparametric methods and machine learning
12. Continuous time processes
Bibliography
Index.