Financial and Macroeconomic Connectedness : A Network Approach to Measurement...

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Item Width: 6.1 in Number of Pages: 288 Pages Genre: Business & Economics ISBN: 9780199338306 Publication Year: 2015 Language: English Item Length: 9.2 in Publisher: Oxford University Press, Incorporated Illustrator: Yes Format: Trade Paperback Author: Kamil Yilmaz, Francis X. Diebold Item Weight: 14.3 Oz gtin13: 9780199338306 Topic: Finance / General, Economics / General Book Title: Financial and Macroeconomic Connectedness : a Network Approach to Measurement and Monitoring Item Height: 0.6 in

Description

Financial and Macroeconomic Connectedness : A Network Approach to Measurement and Monitoring, Paperback by Diebold, Francis X.; Yilmaz, Kamil, ISBN 0199338302, ISBN-13 9780199338306, Like New Used, Free shipping in the US Connections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets. Interest in financial markets implies interest in underlying macroeconomic fundamentals. In Financial and Macroeconomic Connectedness, Frank
Diebold and Kamil Yilmaz propose a simple framework for defining, measuring, and monitoring connectedness, which is central to finance and macroeconomics. These measures of connectedness are theoretically rigorous yet empirically relevant.

The approach to connectedness proposed by the authors is intimately related to the familiar econometric notion of variance decomposition. The full set of variance decompositions from vector auto-regressions produces the core of the 'connectedness table.' The connectedness table makes clear how one
can begin with the most disaggregated pair-wise directional connectedness measures and aggregate them in various ways to obtain total connectedness measures. The authors also show that variance decompositions define weighted, directed networks, so that these proposed connectedness measures are
intimately related to key measures of connectedness used in the network literature.

After describing their methods in the first part of th, the authors proceed to characterize daily return and volatility connectedness across major asset (stock, bond, foreign exchange and commodity) markets as well as the financial institutions within the . and across countries since late
1990s. These specific measures of volatility connectedness show that stock markets played a critical role in spreading the volatility shocks from the . to other countries. Furthermore, while the return connectedness across stock markets increased gradually over time the volatility connectedness
measures were subject to significant jumps during major crisis events.

This book examines not only financial connectedness, but also real fundamental connectedness. In particular, the authors show that global business cycle connectedness is economically significant and time-varying, that the . has disproportionately high connectedness to others, and that pairwise
country connectedness is inversely related to bilateral trade surpluses.