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Zusatztext "No doubt much more literature will develop in this area. Professor Engle has done a service by laying out how his mind is moving and thinking at the current time." ---Peter Tompkins! The Actuary Informationen zum Autor Robert Engle is the Michael Armellino Professor in the Management of Financial Services at New York University's Leonard N. Stern School of Business. His books include Cointegration, Causality, and Forecasting . He was awarded the 2003 Nobel Prize in economics. Klappentext "This book offers a comprehensive and thorough discussion of the Dynamic Conditional Correlation class of models. It presents things in an easy-to-read, coherent, and unified framework, and includes new and interesting empirical findings and economic insights. Anticipating Correlations should serve as the authoritative reference for this important class of models." --Tim Bollerslev, Duke University "This is a timely volume about how to model the conditional correlations among asset returns. Engle has pioneered much of the field and the book is likely to be popular." --Neil Shephard, University of Oxford Zusammenfassung Financial markets respond to information virtually instantaneously. Each new piece of information influences the prices of assets and their correlations with each other, and as the system rapidly changes, so too do correlation forecasts. This fast-evolving environment presents econometricians with the challenge of forecasting dynamic correlations, which are essential inputs to risk measurement, portfolio allocation, derivative pricing, and many other critical financial activities. In Anticipating Correlations, Nobel Prize-winning economist Robert Engle introduces an important new method for estimating correlations for large systems of assets: Dynamic Conditional Correlation (DCC). Engle demonstrates the role of correlations in financial decision making, and addresses the economic underpinnings and theoretical properties of correlations and their relation to other measures of dependence. He compares DCC with other correlation estimators such as historical correlation, exponential smoothing, and multivariate GARCH, and he presents a range of important applications of DCC. Engle presents the asymmetric model and illustrates it using a multicountry equity and bond return model. He introduces the new FACTOR DCC model that blends factor models with the DCC to produce a model with the best features of both, and illustrates it using an array of U.S. large-cap equities. Engle shows how overinvestment in collateralized debt obligations, or CDOs, lies at the heart of the subprime mortgage crisis--and how the correlation models in this book could have foreseen the risks. A technical chapter of econometric results also is included. Based on the Econometric and Tinbergen Institutes Lectures, Anticipating Correlations puts powerful new forecasting tools into the hands of researchers, financial analysts, risk managers, derivative quants, and graduate students. Inhaltsverzeichnis Introduction vii Chapter 1: Correlation Economics 1 1.1 Introduction 1 1.2 How Big Are Correlations? 3 1.3 The Economics of Correlations 6 1.4 An Economic Model of Correlations 9 1.5 Additional Influences on Correlations 13 Chapter 2: Correlations in Theory 15 2.1 Conditional Correlations 15 2.2 Copulas 17 2.3 Dependence Measures 21 2.4 On the Value of Accurate Correlations 25 Chapter 3: Models for Correlation 29 3.1 The Moving Average and the Exponential Smoother 30 3.2 Vector GARCH 32 3.3 Matrix Formulations and Results for Vector GARCH 33 3.4 Constant Conditional Correlation 37 3.5 Orthogonal GARCH 37 3.6 Dynamic Conditional Correlation 39 3.7 Alternative Approaches and Expanded Data Sets 41 Chapter 4: Dynamic Conditional Correlation 43 4.1 DE-GARCHING 43 4.2 E...
