| 000 | 03096cam a2200517Mi 4500 | ||
|---|---|---|---|
| 001 | ocn990679593 | ||
| 003 | OCoLC | ||
| 005 | 20240829102409.0 | ||
| 006 | m d | ||
| 007 | cr ||||||||||| | ||
| 008 | 170608t20172017dcua ob 000 0 eng d | ||
| 040 |
_aIDEBK _beng _erda _cIDEBK _dCUY _dIDEBK _dOCLCQ _dOCLCO _dOCLCF _dOTZ _dN$T |
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| 020 |
_a1475598688 _q(electronic bk.) |
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| 020 |
_a9781475598681 _q(electronic bk.) |
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| 020 | _z1475598629 | ||
| 035 |
_a1519180 _b(N$T) |
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| 035 | _a(OCoLC)990679593 | ||
| 037 |
_a1011476 _bMIL |
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| 050 | 4 | _aQA402.2 | |
| 072 | 7 |
_aMAT _x005000 _2bisacsh |
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| 072 | 7 |
_aMAT _x034000 _2bisacsh |
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| 082 | 0 | 4 |
_a515.353 _223 |
| 049 | _aMAIN | ||
| 100 | 1 |
_aChan-Lau, Jorge A., _eauthor. _9858960 |
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| 245 | 1 | 0 |
_aVariance decomposition networks : _bpotential pitfalls and a simple solution / _cby Jorge A. Chan-Lau. |
| 264 | 1 |
_a[Washington, District of Columbia] : _bInternational Monetary Fund, _c2017. |
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| 264 | 4 | _c©2017 | |
| 300 |
_a1 online resource (48 pages) : _billustrations (some color), tables, graphs. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 0 |
_aIMF Working Paper ; _vWP/17/107 |
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| 520 | 3 | _aDiebold and Yilmaz (2015) recently introduced variance decomposition networks as tools for quantifying and ranking the systemic risk of individual firms. The nature of these networks and their implied rankings depend on the choice decomposition method. The standard choice is the order invariant generalized forecast error variance decomposition of Pesaran and Shin (1998). The shares of the forecast error variation, however, do not add to unity, making difficult to compare risk ratings and risks contributions at two different points in time. As a solution, this paper suggests using the Lanne-Nyberg (2016) decomposition, which shares the order invariance property. To illustrate the differences between both decomposition methods, I analyzed the global financial system during 2001 - 2016. The analysis shows that different decomposition methods yield substantially different systemic risk and vulnerability rankings. This suggests caution is warranted when using rankings and risk contributions for guiding financial regulation and economic policy. | |
| 590 | _aAdded to collection customer.56279.3 - Master record variable field(s) change: 072 | ||
| 650 | 0 |
_aDecomposition method. _9151582 |
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| 650 | 0 |
_aDecomposition method _xData processing. _9861708 |
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| 650 | 7 |
_aDecomposition method. _2fast _0(OCoLC)fst00889130 _9151582 |
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| 650 | 7 |
_aDecomposition method _xData processing. _2fast _0(OCoLC)fst00889131 _9861708 |
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| 650 | 7 |
_aMATHEMATICS / Calculus _2bisacsh _9199348 |
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| 650 | 7 |
_aMATHEMATICS / Mathematical Analysis _2bisacsh _9199349 |
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| 655 | 4 |
_aElectronic books. _9396 |
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| 856 | 4 | 0 |
_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1519180 |
| 938 |
_aProQuest MyiLibrary Digital eBook Collection _bIDEB _ncis38211933 |
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| 938 |
_aEBSCOhost _bEBSC _n1519180 |
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| 994 |
_a92 _bN$T |
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| 999 |
_c665168 _d665168 |
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