Financial and macroeconomic connectedness : a network approach to measurement and monitoring /
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 amo...
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| Format: | eBook |
| Language: | English |
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New York, NY :
Oxford University Press,
[2015]
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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). |
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| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0199338310 9780199338313 9781322570617 1322570612 9780190223830 0190223839 |