Leseprobe
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Recent Econometric Techniques for Macroeconomic and Financial Data
Gilles Dufrénot (Hrsg.), Takashi Matsuki (Hrsg.)
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Springer International Publishing 
Sozialwissenschaften, Recht, Wirtschaft / Volkswirtschaft
Beschreibung
The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines alternative methodological approaches and concepts, including quantile spectra and co-spectra, and explores topics such as non-linear and non-stationary behavior, stochastic volatility models, and the econometrics of commodity markets and globalization. Furthermore, it demonstrates the application of recent techniques in various fields: in the frequency domain, in the analysis of persistent dynamics, in the estimation of state space models and new classes of volatility models.
The book is divided into two parts: The first part applies econometrics to the field of macroeconomics, discussing trend/cycle decomposition, growth analysis, monetary policy and international trade. The second part applies econometrics to a wide range of topics in financial economics, including price dynamics in equity, commodity and foreign exchange markets and portfolio analysis. The book is essential reading for scholars, students, and practitioners in government and financial institutions interested in applying recent econometric time series methods to financial and economic data.
Kundenbewertungen
Contagion and Latent Component Models, Common Factors, Multivariate Garch Models, Conditional Beta Models, Time-varying Models, quantitative finance, Dynamic Hierarchical Factor Models, Nonlinear Models, Econometrics of Commodities, Quantile Spectrum and Copulas