000 | 03111cam a22003375a 4500 | ||
---|---|---|---|
001 | 18229809 | ||
005 | 20161018130323.0 | ||
008 | 140717s2015 nyua frb 001 0 eng d | ||
010 | _a 2014025178 | ||
020 | _a9780199338290 (alk. paper) | ||
020 | _a9780199338306 (alk. paper) | ||
040 |
_aDLC _beng _cDLC _dEG-ScBUE |
||
042 | _apcc | ||
082 | 0 | 4 |
_222 _a332.015195 _bDIE |
100 | 1 |
_aDiebold, Francis X., _d1959- _941558 |
|
245 | 1 | 0 |
_aFinancial and macroeconomic connectedness : _ba network approach to measurement and monitoring / _cFrancis X. Diebold and Kamil Yilmaz. |
260 |
_aNew York ; _aOxford : _bOxford University Press, _c2015. |
||
300 |
_axv, 265 p. : _bill. ; _c24 cm. |
||
500 | _aIndexes : p. 241-265. | ||
504 | _aBibliography : p. 233 -239. | ||
505 | _aMeasuring and monitoring financial and macroeconomic connectedness -- U.S. asset classes -- Major U.S. financial institutions -- Global stock markets -- Sovereign bond markets -- Foreign exchange markets -- Assets across countries -- Global business cycles. | ||
520 | _a"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 the book, 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 U.S. 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 U.S. 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 U.S. has disproportionately high connectedness to others, and that pairwise country connectedness is inversely related to bilateral trade surpluses"--The publisher. | ||
590 | _aWessam | ||
650 | 7 |
_aFinance _xEconometric models. _2BUEsh _93155 |
|
650 | 7 |
_aFinance _xMathematical models. _2BUEsh _922542 |
|
651 | _2BUEsh | ||
653 |
_bBUSADM _cOctober2016 |
||
653 |
_bBUSECO _cOctober2016 |
||
700 | 1 | _aYlmaz, Kamil. | |
942 |
_2ddc _e22 _k332.015195 DIE |
||
999 |
_c22676 _d22648 |