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dc.contributor.authorEuropean Investment Bank
dc.date.accessioned2021-11-17T04:02:57Z
dc.date.available2021-11-17T04:02:57Z
dc.date.issued2021
dc.date.submitted2021-11-16T05:31:11Z
dc.identifierOCN: 1289789541
dc.identifierhttps://library.oapen.org/handle/20.500.12657/51525
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/72858
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.rightsopen access
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KF Finance and accounting::KFF Finance and the finance industry
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.isPublishedByfeca012f-a3d8-4aac-95aa-b6cf4bdbed7c
oapen.relation.isFundedByKnowledge Unlatched
oapen.relation.isbn9789286150883
oapen.collectionKnowledge Unlatched (KU)
oapen.collectionKU Open Services
oapen.imprintEuropean Investment Bank
dc.relationisFundedByb818ba9d-2dd9-4fd7-a364-7f305aef7ee9


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