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Data · dataset · 2009

A Note on Updating Forecasts When New Information Arrives between Two Periods [Dataset]

Listed in Harvard Dataverse

In this note the author discusses the problem of updating forecasts in a time-discrete forecasting model when information arrives between the current period and the next period.

Description

To use the information that arrives between two periods, he assumes that the process between two periods can be approximated by a linear interpolation of the time-discrete forecasting model. Based on this assumption the author drives the optimal updating rule for the forecast of the next period when new information arrives between the current period and the next period.

He demonstrates by theoretical arguments and empirical examples that this updating rule is simple, intuitively appealing, defendable and useful.

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Where it is published

Catalogue records · 1
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.7910/DVN/2OBOG415 d agoJSON v1
FieldAssertionExtractorEvidence
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0
version_labelsource · Harvard Dataverseconnector:dataverse@1.0.0