a network approach to measurement and monitoring /
First Statement of Responsibility
Francis X. Diebold and Kamil Yilmaz
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (pages cm)
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index
SUMMARY OR ABSTRACT
Text of Note
A simple framework is proposed based on variance decompositions from approximating vector autoregressions to define, measure and monitor network connectedness, and these methods are applied in financial and macroeconomic contexts. In financial markets, for example, the interest is in connections among different assets, asset classes, or portfolios, as well as the stocks of individual institutions, and the objects connected are typically returns or return volatilities. Similarly, in macroeconomics the interest is in cross-country real output connections (that is, the global business cycle)