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$T
020 _a1475598688
_q(electronic bk.)
020 _a9781475598681
_q(electronic bk.)
020 _z1475598629
035 _a1519180
_b(N$T)
035 _a(OCoLC)990679593
037 _a1011476
_bMIL
050 4 _aQA402.2
072 7 _aMAT
_x005000
_2bisacsh
072 7 _aMAT
_x034000
_2bisacsh
082 0 4 _a515.353
_223
049 _aMAIN
100 1 _aChan-Lau, Jorge A.,
_eauthor.
_9858960
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.
264 4 _c©2017
300 _a1 online resource (48 pages) :
_billustrations (some color), tables, graphs.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aIMF Working Paper ;
_vWP/17/107
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
650 0 _aDecomposition method
_xData processing.
_9861708
650 7 _aDecomposition method.
_2fast
_0(OCoLC)fst00889130
_9151582
650 7 _aDecomposition method
_xData processing.
_2fast
_0(OCoLC)fst00889131
_9861708
650 7 _aMATHEMATICS / Calculus
_2bisacsh
_9199348
650 7 _aMATHEMATICS / Mathematical Analysis
_2bisacsh
_9199349
655 4 _aElectronic books.
_9396
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
938 _aEBSCOhost
_bEBSC
_n1519180
994 _a92
_bN$T
999 _c665168
_d665168