-PDF Download- Recent Econometric Techniques For Macroeconomic And Financial Data EBOOK

Recent Econometric Techniques for Macroeconomic and Financial Data

Author: Gilles Dufrénot

Publisher: Springer Nature

Published: 2020-11-21

Total Pages: 387

ISBN-13: 3030542521

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.

The Econometric Analysis of Recurrent Events in Macroeconomics and Finance

Author: Don Harding

Publisher: Princeton University Press

Published: 2016-07-26

Total Pages: 232

ISBN-13: 0691167087

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The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction. This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions. The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles. This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund.

High Frequency Financial Econometrics

Author: Luc Bauwens

Publisher: Springer Science & Business Media

Published: 2007-12-31

Total Pages: 310

ISBN-13: 3790819921

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Shedding light on some of the most pressing open questions in the analysis of high frequency data, this volume presents cutting-edge developments in high frequency financial econometrics. Coverage spans a diverse range of topics, including market microstructure, tick-by-tick data, bond and foreign exchange markets, and large dimensional volatility modeling. The volume is of interest to graduate students, researchers, and industry professionals.

Time Series and Panel Data Econometrics

Author: M. Hashem Pesaran

Publisher: Oxford University Press

Published: 2015-10-01

Total Pages: 1095

ISBN-13: 0191058475

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This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides a rigorous, nevertheless user-friendly, account of the time series techniques dealing with univariate and multivariate time series models, as well as panel data models. It is distinct from other time series texts in the sense that it also covers panel data models and attempts at a more coherent integration of time series, multivariate analysis, and panel data models. It builds on the author's extensive research in the areas of time series and panel data analysis and covers a wide variety of topics in one volume. Different parts of the book can be used as teaching material for a variety of courses in econometrics. It can also be used as reference manual. It begins with an overview of basic econometric and statistical techniques, and provides an account of stochastic processes, univariate and multivariate time series, tests for unit roots, cointegration, impulse response analysis, autoregressive conditional heteroskedasticity models, simultaneous equation models, vector autoregressions, causality, forecasting, multivariate volatility models, panel data models, aggregation and global vector autoregressive models (GVAR). The techniques are illustrated using Microfit 5 (Pesaran and Pesaran, 2009, OUP) with applications to real output, inflation, interest rates, exchange rates, and stock prices.

Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics

Author: Burcu Adıgüzel Mercangöz

Publisher: Springer Nature

Published: 2021-02-17

Total Pages: 465

ISBN-13: 3030541088

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This handbook presents emerging research exploring the theoretical and practical aspects of econometric techniques for the financial sector and their applications in economics. By doing so, it offers invaluable tools for predicting and weighing the risks of multiple investments by incorporating data analysis. Throughout the book the authors address a broad range of topics such as predictive analysis, monetary policy, economic growth, systemic risk and investment behavior. This book is a must-read for researchers, scholars and practitioners in the field of economics who are interested in a better understanding of current research on the application of econometric methods to financial sector data.

Modelling and Forecasting Financial Data

Author: Abdol S. Soofi

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 496

ISBN-13: 1461509319

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Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters. Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.

Data Science for Financial Econometrics

Author: Nguyen Ngoc Thach

Publisher: Springer Nature

Published: 2020-11-13

Total Pages: 633

ISBN-13: 3030488535

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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 techniques, since the traditional way of designing mathematical models – based on researchers’ insights – can no longer keep pace with the ever-increasing data flow. To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative statistics. In terms of capitalizing on data science, many application areas are way ahead of economics. To close this gap, the book provides examples of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.

Advances in Panel Data Analysis in Applied Economic Research

Author: Nicholas Tsounis

Publisher: Springer

Published: 2018-04-17

Total Pages: 705

ISBN-13: 3319700553

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This proceedings volume presents new methods and applications in applied economic research with an emphasis on advances in panel data analysis. Featuring papers presented at the 2017 International Conference on Applied Economics (ICOAE) held at Coventry University, this volume provides current research on econometric panel data methodologies as they are applied in microeconomics, macroeconomics, financial economics and agricultural economics. International Conference on Applied Economics (ICOAE) is an annual conference that started in 2008 designed to bring together economists from different fields of applied economic research in order to share methods and ideas. Applied economics is a rapidly growing field of economics that combines economic theory with econometrics to analyse economic problems of the real world usually with economic policy interest. In addition, there is growing interest in the field for panel data estimation methods, tests and techniques. This volume makes a contribution in the field of applied economic research in this area. Featuring country specific studies, this book will be of interest to academics, students, researchers, practitioners, and policy makers in applied economics and economic policy.

Contributions to Modern Econometrics

Author: Ingo Klein

Publisher: Springer Science & Business Media

Published: 2002-12-31

Total Pages: 306

ISBN-13: 9781402073342

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The field of econometrics has gone through remarkable changes during the last decades. The earlier focus on testing macroeconomic theories has been widened considerably. It has turned into a discipline concerned with the development and application of statistical methods for any kind of economic data. Contributions to Modern Econometrics represents a collection of recent economic applications of modern econometrics and methodological developments. It converse topics such as: -Effects of data quality on monetary policy, -Empirical comparison of alternative monetary aggregates, -Empirical tests of theories for the term structure of interest rates, -Financial econometrics for heavy-tailed returns, -The transformation of the Polish economy, -Labor economics, -Econometric modeling of household and investment decisions, -modeling with limited dependent variables, -testing for units roots, -Alternative smoothing algorithms, -Latent-variable models with error in variables. Contributions to Modern Econometrics is of interest to researchers and students in economics as well as practitioners in business, industry and public institutions who want to learn about recent developments in the field of econometrics.

Applied Financial Econometrics

Author: Moinak Maiti

Publisher: Springer Nature

Published: 2021-08-31

Total Pages: 287

ISBN-13: 9811640637

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This textbook gives students an approachable, down to earth resource for the study of financial econometrics. While the subject can be intimidating, primarily due to the mathematics and modelling involved, it is rewarding for students of finance and can be taught and learned in a straightforward way. This book, going from basics to high level concepts, offers knowledge of econometrics that is intended to be used with confidence in the real world. This book will be beneficial for both students and tutors who are associated with econometrics subjects at any level.