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Forecasting and stress testing with quantile vector autoregression

Gespeichert in:

Personen und Körperschaften: Chavleishvili, Sulkhan (VerfasserIn), Manganelli, Simone (VerfasserIn)
Titel: Forecasting and stress testing with quantile vector autoregression/ Sulkhan Chavleishvili, Simone Manganelli
Format: E-Book
Sprache: Englisch
veröffentlicht:
Frankfurt am Main, Germany European Central Bank [2019]
Gesamtaufnahme: Europäische Zentralbank: Working paper series ; no 2330 (November 2019)
Quelle: Verbunddaten SWB
Lizenzfreie Online-Ressourcen
Details
Zusammenfassung: We introduce a structural quantile vector autoregressive (VAR) model. Unlike standard VAR which models only the average interaction of the endogenous variables, quantile VAR models their interaction at any quantile. We show how to estimate and forecast multivariate quantiles within a recursive structural system. The model is estimated using real and financial variables. The dynamic properties of the system change across quantiles. This is relevant for stress testing exercises, whose goal is to forecast the tail behavior of the economy when hit by large financial and real shocks.
Umfang: 1 Online-Ressource (circa 43 Seiten); Illustrationen
ISBN: 9789289938990
9289938994
DOI: 10.2866/589324