Using forecasts of forecasters to forecast
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Quantification techniques are popular methods in empirical research for aggregating the qualitative predictions at the microlevel into a single figure. In this paper, we analyze the forecasting performance of various methods that are based on the qualitative predictions of financial experts for major financial variables and macroeconomic aggregates. Based on the Centre of European Economic Research s Financial Markets Survey, a monthly qualitative survey of around 330 financial experts, we analyze the out-of-sample predictive quality of probability methods and regression methods. Using the modified Diebold Mariano test of Harvey, Leybourne and Newbold (Harvey, D., Leybourne, S., & Newbold, P. (1997). Testing the equality of prediction mean squared errors. International Journal of Forecasting, 13, 281 291), we compare the forecasts based on survey methods with the forecasting performance of standard linear time series approaches and simple random walk forecasts.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
NOLTE, Ingmar, Winfried POHLMEIER, 2007. Using forecasts of forecasters to forecast. In: International Journal of Forecasting. 2007, 23(1), pp. 15-28. Available under: doi: 10.1016/j.ijforecast.2006.05.001BibTex
@article{Nolte2007Using-12125, year={2007}, doi={10.1016/j.ijforecast.2006.05.001}, title={Using forecasts of forecasters to forecast}, number={1}, volume={23}, journal={International Journal of Forecasting}, pages={15--28}, author={Nolte, Ingmar and Pohlmeier, Winfried} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/12125"> <dc:creator>Pohlmeier, Winfried</dc:creator> <dc:format>application/pdf</dc:format> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/46"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-25T09:42:51Z</dc:date> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/12125"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/12125/1/Nolte_Pohlmeier_2007_Using_Forecaster_IJF.pdf"/> <dcterms:abstract xml:lang="eng">Quantification techniques are popular methods in empirical research for aggregating the qualitative predictions at the microlevel into a single figure. In this paper, we analyze the forecasting performance of various methods that are based on the qualitative predictions of financial experts for major financial variables and macroeconomic aggregates. Based on the Centre of European Economic Research s Financial Markets Survey, a monthly qualitative survey of around 330 financial experts, we analyze the out-of-sample predictive quality of probability methods and regression methods. Using the modified Diebold Mariano test of Harvey, Leybourne and Newbold (Harvey, D., Leybourne, S., & Newbold, P. (1997). Testing the equality of prediction mean squared errors. International Journal of Forecasting, 13, 281 291), we compare the forecasts based on survey methods with the forecasting performance of standard linear time series approaches and simple random walk forecasts.</dcterms:abstract> <dc:creator>Nolte, Ingmar</dc:creator> <dcterms:bibliographicCitation>First publ. in: International Journal of Forecasting 23 (2007), 1, pp. 15-28</dcterms:bibliographicCitation> <dcterms:issued>2007</dcterms:issued> <dc:contributor>Pohlmeier, Winfried</dc:contributor> <dc:contributor>Nolte, Ingmar</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/12125/1/Nolte_Pohlmeier_2007_Using_Forecaster_IJF.pdf"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:language>eng</dc:language> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-25T09:42:51Z</dcterms:available> <dcterms:title>Using forecasts of forecasters to forecast</dcterms:title> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/2.0/"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/46"/> <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights> </rdf:Description> </rdf:RDF>