Matsuki / Dufrénot | Recent Econometric Techniques for Macroeconomic and Financial Data | Buch | sack.de

Matsuki / Dufrénot Recent Econometric Techniques for Macroeconomic and Financial Data



1. Auflage 2021, Band: 27, 387 Seiten, Gebunden, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 770 g Reihe: Dynamic Modeling and Econometrics in Economics and Finance
ISBN: 978-3-030-54251-1
Verlag: Springer International Publishing


Matsuki / Dufrénot Recent Econometric Techniques for Macroeconomic and Financial Data

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.

Zielgruppe


Research

Weitere Infos & Material


Introduction (Gilles Dufrénot and Takashi Matsuki, eds)
Part I. Macroeconometrics and international finance Chapter 1. Quantile and copula spectrum: a new approach to investigate cyclical dependence in economic time series Gilles Dufrénot, Takashi Matsuki and Kimiko Sugimoto 1.-Introduction: why using quantile spectrum? 2.- Quantile spectrum: non-parametric and parametric Methods 2.1.- Non-parametric approach 2.2.- Parametric approach: quantile spectrum and quantile regression models 3.- Copula spectral density and rank-based Laplace periodogram 4. Estimating quantile spectrum using software 4.1.-Estimation of non-parametric quantile spectrum using RATS estima 4.2.- Using R package to estimate quantile spectrum and cross spectrum References Chapter 2. On the seemingly incompleteness of the exchange rate pass-trough to import prices Antonia Lopez-Villavicencio and Valérie Mignon 1.-Introduction 2.- Methodology 3.-data 3.1.-Time sample 3.2- Variables 3.3- Indicators of globalization 3.4.- Descriptive statistics 4.- Results 4.1.- Accounting for globalization 4.2.- Using disaggregated data accounting for the good level 4.3.- Accounting for globalization at the good level 5. Conclusion References Chapter 3. A state-space model to estimate potential growth in the industrialized countries Thomas Brand, Gilles Dufrénot, Antoine Mayerowitz 1.- Introduction 2.- is potential growth led by financial variables: a simple Bayesian estimation 3.- A State-space model with theoretical relationships 3.1.- The general model 3.2.-Sub-models and comparison with other models used in the literature 3.3.-Estimation methods 3.4.- Data and methods 3.5.- Conclusion References
Chapter 4.- A top-down method for rational bubbles: application of the threshold bounds testing approach to the Japanese, UK and US Financial markets Jun Nagayasu 1.-Introduction 2.-The threshold autoregressive distributed lag model (T-ADRL) 3.-Application : testing bubbles 4.- Conclusion References Chapter 5.- An analysis of the time-varying behavior of the equilibrium velocity of money in the euro area Mariam Camarero, Juan Sapena and Cecilio Tamarit 1.- Introduction: the shockingly low money velocity in the Euro Area (EA) and its consequences 2.- Money demand and velocity: income and transactions 3.- A short review of the literature 4.- Methodology and estimation. 4.1.-A time-varying parameters State-Space framework for panel data. 4.2.- An application to the money velocity in the EA. 5.- Conclusions References Chapter 6.- Revisiting wealth effects in France: a double-nonlinearity approach Olivier Damette and Fredj Jawadi 1.- Introduction 2.- Econometric methodology 2.1. Linear cointegration specification for wealth effects 2.2. Threshold ECM effects for wealth effects 2.3. Time varying VECM specification for wealth effects 3. Data and empirical analysis 3.1. Data and preliminary analysis
3.2. The linear cointegration analysis 3.3. Nonlinear cointegration with asymmetric adjustment 3.4. NECMs with nonlinearity in the long-run 5.- Conclusions References Part II. Financial econometrics Chapter 7.- Econometrics of commodities Jean-François Carpantier 1.-Introduction 2.- Tests of the Prebisch-Singer hypothesis 3.- Tests of the commodity currencies hypothesis 4. Models of commodity risk-management 5.-Models of financiarization of commodities 6.-Data comparison 7. Conclusion References Chapter 8.- Conditional Beta of real estate Marcel Aloy, Sébastien Laurent and Christelle Lecourt 1.-Introduction 2.- Literature review 3.- Theory 4.- Main results 5.-Conclusion References Chapter 9.- Common factors in international portfolio flows
Yushi Yoshida 1.- Introduction 2.- International Portfolio Flows 2.1.- Review of Related Literature 2.2.- Financial Account Flows (global and regional overview of financial account flows based on quarterly data by the Balance of Payment statistics, IMF) 2.3.- Portfolio Account Flows (bond flows and equity flows based on daily data by EPFR (Emerging


Matsuki, Takashi

Gilles Dufrénot is a Professor of Economics at Aix-Marseille School of Economics in France. His main fields of interest are applied econometrics in macroeconomics and finance. He has published in international journals including the Journal of Economic dynamics and Control, Macroeconomic Dynamics, Journal of International Money and finance, Oxford Economic Papers. He has been a guest editor for several journals on issues related to nonlinear dynamics, macroeconometrics and computational economics.



Takeshi Matsuki is a Professor of Econometrics and Statistics at the University of Osaka-Gakuin in Japan. He specializes in forecasting methods, nonlinear systems and nonstationary panels in economics and finance. He has proposed new techniques for investigating international spillovers in international markets, channeling quantitative easing policies and identifying structural breaks in economic time series.




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