経済・金融のための時系列分析 Time Series for Economics and Finance

Linton, Oliver

Cambridge University Press（2024/12発売）

Cambridge University Press（2024/12発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 450 p.
• 言語 ENG
• 商品コード 9781009396264
• DDC分類 332

Full Description

Focusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics. Theoretical and empirical exercises, concise summaries, bolded key terms, and illustrative examples are included throughout to reinforce key concepts and bolster understanding. Ancillary materials include an instructor's manual with solutions and additional exercises, PowerPoint lecture slides, and datasets. With its clear and accessible style, this textbook is an essential tool for advanced undergraduate and graduate students in economics, finance, and statistics.

Contents

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.