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

Dietzel, Marian (2016) Sentiment-based predictions of housing market turning points with Google trends. International Journal of Housing Markets and Analysis 9 (1), pp. 108-136.

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Date of publication of this fulltext: 25 Apr 2016 12:58

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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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Item type:Article
Date:2016
Institutions:Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Immobilienmanagement (Prof. Dr. Wolfgang Schäfers)
Business, Economics and Information Systems > Institut für Immobilienenwirtschaft / IRE|BS > Lehrstuhl für Immobilienmanagement (Prof. Dr. Wolfgang Schäfers)

Business, Economics and Information Systems > Institut für Immobilienenwirtschaft / IRE|BS
Identification Number:
ValueType
10.1108/IJHMA-12-2014-0058DOI
Keywords:Forecasting, Real estate, Sentiment, Google trends, Online search query data, Turning points
Dewey Decimal Classification:300 Social sciences > 330 Economics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:33665
Owner only: item control page

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