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Sentiment-based predictions of housing market turning points with Google trends

URN to cite this document:
urn:nbn:de:bvb:355-epub-336659
DOI to cite this document:
10.5283/epub.33665
Dietzel, Marian
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Date of publication of this fulltext: 25 Apr 2016 12:58


Abstract

Purpose – Recent research has found significant relationships between internet search volume and real estate markets. This paper aims to examine whether Google search volume data can serve as a leading sentiment indicator and are able to predict turning points in the US housing market. One of the main objectives is to find a model based on internet search interest that generates reliable ...

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