TU Darmstadt / ULB / TUbiblio

A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy

Krüger, Jens J. (2021)
A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy.
In: Journal of Business Cycle Research, 17 (3)
doi: 10.1007/s41549-021-00060-8
Artikel, Bibliographie

Dies ist die neueste Version dieses Eintrags.

Kurzbeschreibung (Abstract)

Leading indicators are important variables in business cycle forecasting. We use wavelet analysis to investigate the lead-lag stability of German leading indicators in time-frequency space. This method permits a time-varying relation of the leading indicators to the reference cycle allowing simultaneously to focus on lead-lag stability at the specific business cycle frequencies. In this way we analyze an index of new orders, a survey-based index of business expectations, an index of stock market returns and the interest rate term spread. We confirm that most of these indicators are indeed leading the reference cycle most of the time, but the number of months leading varies considerably over time and is associated with a great deal of estimation uncertainty.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Krüger, Jens J.
Art des Eintrags: Bibliographie
Titel: A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy
Sprache: Englisch
Publikationsjahr: 2021
Ort: Cham
Verlag: Springer International Publishing
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Journal of Business Cycle Research
Jahrgang/Volume einer Zeitschrift: 17
(Heft-)Nummer: 3
DOI: 10.1007/s41549-021-00060-8
Zugehörige Links:
Kurzbeschreibung (Abstract):

Leading indicators are important variables in business cycle forecasting. We use wavelet analysis to investigate the lead-lag stability of German leading indicators in time-frequency space. This method permits a time-varying relation of the leading indicators to the reference cycle allowing simultaneously to focus on lead-lag stability at the specific business cycle frequencies. In this way we analyze an index of new orders, a survey-based index of business expectations, an index of stock market returns and the interest rate term spread. We confirm that most of these indicators are indeed leading the reference cycle most of the time, but the number of months leading varies considerably over time and is associated with a great deal of estimation uncertainty.

Freie Schlagworte: Business cycle forecasting, Leading indicators, Wavelet analysis, Phase difference
Zusätzliche Informationen:

JEL Classification C49 · E32 · E37

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 300 Sozialwissenschaften > 330 Wirtschaft
Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete > Fachgebiet Empirische Wirtschaftsforschung
Hinterlegungsdatum: 10 Sep 2024 18:28
Letzte Änderung: 10 Sep 2024 18:28
PPN:
Export:
Suche nach Titel in: TUfind oder in Google

Verfügbare Versionen dieses Eintrags

Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen