
Robert Engle received the Nobel Prize for Economics in 2003 for his work in time series econometrics. This book contains 16 original research contributions by some the leading academic researchers in the fields of time series econometrics, forecasting, volatility modelling, financial econometrics and urban economics, along with historical perspectives related to field of time series econometrics more generally. Engle's Nobel Prize citation focuses on his path-breaking work on autoregressive conditional heteroskedasticity (ARCH) and the profound effect that this work has had on the field of financial econometrics. Several of the chapters focus on conditional heteroskedasticity, and develop the ideas of Engle's Nobel Prize winning work. Engle's work has had its most profound effect on the modelling of financial variables and several of the chapters use newly developed time series methods to study the behavior of financial variables. Each of the 16 chapters may be read in isolation, but they all importantly build on and relate to the seminal work by Nobel Laureate Robert F. Engle.
This volume investigates the evolution and practical application of time series econometrics, specifically focusing on the legacy of Robert Engle’s Nobel Prize-winning research. Edited by Jeffrey Russell and Tim Bollerslev, the text compiles sixteen original research papers from prominent scholars. These contributions examine the development of autoregressive conditional heteroskedasticity (ARCH) models and their subsequent influence on financial forecasting and urban economic analysis.
What You Will Find
Scope Limits
Experts recognize this collection as a significant resource for researchers and graduate students specializing in financial econometrics. Readers frequently note the high level of technical density, as the chapters assume a strong prior understanding of statistical modeling and economic theory.
Page Count:
432
Publication Date:
2010-01-01
Publisher:
OUP Oxford
ISBN-10:
0191572195
ISBN-13:
9780191572197
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