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dc.contributor.authorEuropean Investment Bank
dc.date.accessioned2021-11-16T05:31:11Z
dc.date.available2021-11-16T05:31:11Z
dc.date.issued2021
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/51525
dc.description.abstractIn this paper we assess the merits of financial condition indices constructed using simple averages versus a more sophisticated alternative that uses factor models with time varying parameters. Our analysis is based on data for 18 advanced and emerging economies at a monthly frequency covering about 70% of the world’s GDP. We assess the performance of these indicators based on their ability to capture tail risk for economic activity and to predict banking and currency crises. We find that averaging across the indicators of interest, using judgmental but intuitive weights, produces financial condition indices that are not inferior to, and actually perform better than, those constructed with more sophisticated statistical methods.
dc.languageEnglish
dc.rights.uriCopyright held by content provider
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KF Finance and accounting::KFF Finance and the finance industryen_US
dc.subject.otherBusiness & Economics
dc.subject.otherFinance
dc.titleEIB Working Paper 2021/10 - The simpler, the better
dc.title.alternativeMeasuring financial conditions for monetary policy and financial stability
dc.typebook
oapen.identifier.doihttps://doi.org/10.2867/149278
oapen.relation.isPublishedBy66479d04-7b84-49c0-9a4d-db552a3ecc71
oapen.relation.isFundedByb818ba9d-2dd9-4fd7-a364-7f305aef7ee9
oapen.relation.isbn9789286150883
oapen.collectionKnowledge Unlatched (KU)
oapen.imprintEuropean Investment Bank
oapen.identifierhttps://openresearchlibrary.org/viewer/cd47dcef-6165-4756-b35c-f23241b2e7bb
oapen.identifier.isbn9789286150883


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