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.

Auteur

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.

Contenu

Introduction (Gilles Dufrénot and Takashi Matsuki, eds)
Part I. Macroeconometrics and international financeChapter 1. Quantile and copula spectrum: a new approach to investigate cyclical dependence in economic time seriesGilles Dufrénot, Takashi Matsuki and Kimiko Sugimoto1.-Introduction: why using quantile spectrum?2.- Quantile spectrum: non-parametric and parametric Methods2.1.- Non-parametric approach2.2.- Parametric approach: quantile spectrum and quantile regression models3.- Copula spectral density and rank-based Laplace periodogram4. Estimating quantile spectrum using software4.1.-Estimation of non-parametric quantile spectrum using RATS estima4.2.- Using R package to estimate quantile spectrum and cross spectrumReferencesChapter 2. On the seemingly incompleteness of the exchange rate pass-trough to import pricesAntonia Lopez-Villavicencio and Valérie Mignon1.-Introduction2.- Methodology3.-data3.1.-Time sample3.2- Variables3.3- Indicators of globalization3.4.- Descriptive statistics4.- Results4.1.- Accounting for globalization4.2.- Using disaggregated data accounting for the good level4.3.- Accounting for globalization at the good level5. ConclusionReferencesChapter 3. A state-space model to estimate potential growth in the industrialized countriesThomas Brand, Gilles Dufrénot, Antoine Mayerowitz1.- Introduction2.- is potential growth led by financial variables: a simple Bayesian estimation3.- A State-space model with theoretical relationships3.1.- The general model3.2.-Sub-models and comparison with other models used in the literature3.3.-Estimation methods3.4.- Data and methods3.5.- ConclusionReferences
Chapter 4.- A top-down method for rational bubbles: application of the threshold bounds testing approach to the Japanese, UK and US Financial marketsJun Nagayasu1.-Introduction2.-The threshold autoregressive distributed lag model (T-ADRL)3.-Application : testing bubbles4.- ConclusionReferencesChapter 5.- An analysis of the time-varying behavior of the equilibrium velocity of money in the euro areaMariam Camarero, Juan Sapena and Cecilio Tamarit1.- Introduction: the shockingly low money velocity in the Euro Area (EA) and its consequences2.- Money demand and velocity: income and transactions3.- A short review of the literature4.- 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.- ConclusionsReferencesChapter 6.- Revisiting wealth effects in France: a double-nonlinearity approachOlivier Damette and Fredj Jawadi1.- Introduction2.- Econometric methodology2.1. Linear cointegration specification for wealth effects2.2. Threshold ECM effects for wealth effects2.3. Time varying VECM specification for wealth effects3. Data and empirical analysis3.1. Data and preliminary analysis
3.2. The linear cointegration analysis3.3. Nonlinear cointegration with asymmetric adjustment3.4. NECMs with nonlinearity in the long-run5.- ConclusionsReferencesPart II. Financial econometricsChapter 7.- Econometrics of commoditiesJean-François Carpantier1.-Introduction2.- Tests of the Prebisch-Singer hypothesis3.- Tests of the commodity currencies hypothesis4. Models of commodity risk-management<div&g...