A Very British Affair
A Very British Affair

Author: T. Mills

Publisher: Springer

Published: 2012-11-27

Total Pages: 354

ISBN-13: 1137291265

DOWNLOAD EBOOK

This book develops the major themes of time series analysis from its formal beginnings in the early part of the 20th century to the present day through the research of six distinguished British statisticians, all of whose work is characterised by the British traits of pragmatism and the desire to solve practical problems of importance.

Modern Perspectives on the Gold Standard
Modern Perspectives on the Gold Standard

Author: Tamim Bayoumi

Publisher: Cambridge University Press

Published: 1996

Total Pages: 432

ISBN-13: 0521571693

DOWNLOAD EBOOK

Currency crises in Europe and Mexico during the 1990s provided stark reminders of the importance and the fragility of international financial markets. These experiences led some commentators to conclude that open international capital markets are incompatible with financial stability. But the pre-1914 gold standard is an obvious challenge to the notion that open capital markets are sources of instability. To deepen our understanding of how this system worked, this volume draws together recent research on the gold standard. Theoretical models are used to guide qualitative discussions of historical experience, while econometric methods are used to help the historical data speak clearly. The result is an overview of the gold standard, a survey of the relevant applied research in international macroeconomics, and a demonstration of how the past can help to inform the present.

Empirical Economic and Financial Research
Empirical Economic and Financial Research

Author: Jan Beran

Publisher: Springer

Published: 2014-11-07

Total Pages: 506

ISBN-13: 3319031228

DOWNLOAD EBOOK

The purpose of this book is to establish a connection between the traditional field of empirical economic research and the emerging area of empirical financial research and to build a bridge between theoretical developments in these areas and their application in practice. Accordingly, it covers broad topics in the theory and application of both empirical economic and financial research, including analysis of time series and the business cycle; different forecasting methods; new models for volatility, correlation and of high-frequency financial data and new approaches to panel regression, as well as a number of case studies. Most of the contributions reflect the state-of-art on the respective subject. The book offers a valuable reference work for researchers, university instructors, practitioners, government officials and graduate and post-graduate students, as well as an important resource for advanced seminars in empirical economic and financial research.

Forecasting: principles and practice
Forecasting: principles and practice

Author: Rob J Hyndman

Publisher: OTexts

Published: 2018-05-08

Total Pages: 380

ISBN-13: 0987507117

DOWNLOAD EBOOK

Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

New Developments in Time Series Econometrics
New Developments in Time Series Econometrics

Author: Jean-Marie Dufour

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 248

ISBN-13: 3642487424

DOWNLOAD EBOOK

This book contains eleven articles which provide empirical applications as well as theoretical extensions of some of the most exciting recent developments in time-series econometrics. The papers are grouped around three broad themes: (I) the modeling of multivariate times series; (II) the analysis of structural change; (III) seasonality and fractional integration. Since these themes are closely inter-related, several other topics covered are also worth stressing: vector autoregressive (VAR) models, cointegration and error-correction models, nonparametric methods in time series, and fractionally integrated models. Researchers and students interested in macroeconomic and empirical finance will find in this collection a remarkably representative sample of recent work in this area.

Seasonality in Regression
Seasonality in Regression

Author: Svend Hylleberg

Publisher: Academic Press

Published: 2014-05-10

Total Pages: 284

ISBN-13: 1483277747

DOWNLOAD EBOOK

Seasonality in Regression presents the problems of seasonality in economic regression models. This book discusses the procedures that may have application in practical econometric work. Organized into eight chapters, this book begins with an overview of the tremendous increase in the computational capabilities made by the development of the electronic computer that has profound implications for the way seasonality is handled by economists. This text then examines some seasonal models and their characteristics. Other chapters consider the most frequently applied evaluation criteria and appraise the values in the applications. This book discusses as well the frequency domain estimators and provides insight into problems of estimating the disturbance–covariance matrix through the use of the disturbance spectrum. The final chapter deals with the main objective of the treatment of personality to formulate and estimate econometric models. This book is a valuable resource for economists and econometricians who have knowledge of econometrics at an advanced undergraduate or graduate level.

Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation

Author: Estela Bee Dagum

Publisher: Springer

Published: 2016-06-20

Total Pages: 293

ISBN-13: 3319318225

DOWNLOAD EBOOK

This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling.