Nonlinear Time Series Econometrics in R: Thresholds, Smooth Transitions, and Networks
Paperback
Publisher: Independently Published
Published: Sep 11 2025
Pages: 150
Weight: 0.46
Height: 0.32 Width: 6.00 Depth: 9.00
Language: English
Written in a clear, structured, and research-oriented style, this book introduces readers to threshold models, smooth transition autoregressions, nonlinear volatility processes, copula-based dependence structures, and network approaches to interconnected time series. Each concept is paired with rigorous econometric theory, practical intuition, and hands-on implementation using R.
- Comprehensive coverage of nonlinear models: Threshold autoregression (TAR), Smooth Transition Autoregression (STAR), GARCH-family models, copulas, and network methods.
- Mathematical foundations: Stationarity conditions, asymptotics, and proofs supporting estimation techniques.
- Hands-on R applications: Step-by-step coding examples with tsDyn, rugarch, copula, and igraph.
- Advanced econometric tools: Nonlinear dependence, regime-switching, and volatility clustering.
- Bridging theory and practice: From foundational models to applications in finance, macroeconomics, and systemic risk.
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