Recent Econometric Techniques for Macroeconomic and Financial Data

Recent Econometric Techniques for Macroeconomic and Financial Data
Author :
Publisher : Springer Nature
Total Pages : 391
Release :
ISBN-10 : 9783030542528
ISBN-13 : 3030542521
Rating : 4/5 (521 Downloads)

Book Synopsis Recent Econometric Techniques for Macroeconomic and Financial Data by : Gilles Dufrénot

Download or read book Recent Econometric Techniques for Macroeconomic and Financial Data written by Gilles Dufrénot and published by Springer Nature. This book was released on 2020-11-21 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Recent Econometric Techniques for Macroeconomic and Financial Data Related Books

Recent Econometric Techniques for Macroeconomic and Financial Data
Language: en
Pages: 391
Authors: Gilles Dufrénot
Categories: Business & Economics
Type: BOOK - Published: 2020-11-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines a
Nonlinearities in Economics
Language: en
Pages: 361
Authors: Giuseppe Orlando
Categories: Business & Economics
Type: BOOK - Published: 2021-08-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

This interdisciplinary book argues that the economy has an underlying non-linear structure and that business cycles are endogenous, which allows a greater expla
Data Science for Financial Econometrics
Language: en
Pages: 622
Authors: Nguyen Ngoc Thach
Categories: Computers
Type: BOOK - Published: 2020-11-13 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techn
Applied Economic Forecasting Using Time Series Methods
Language: en
Pages: 617
Authors: Eric Ghysels
Categories: Business & Economics
Type: BOOK - Published: 2018 - Publisher: Oxford University Press

DOWNLOAD EBOOK

Economic forecasting is a key ingredient of decision making in the public and private sectors. This book provides the necessary tools to solve real-world foreca
Time Series and Panel Data Econometrics
Language: en
Pages: 1095
Authors: M. Hashem Pesaran
Categories: Business & Economics
Type: BOOK - Published: 2015 - Publisher: Oxford University Press, USA

DOWNLOAD EBOOK

The book describes and illustrates many advances that have taken place in a number of areas in theoretical and applied econometrics over the past four decades.