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Artificial intelligence, news sentiment, and property market liquidity

Braun, Johannes ; Hausler, Jochen ; Schäfers, Wolfgang



Abstract

Purpose The purpose of this paper is to use a text-based sentiment indicator to explain variations in direct property market liquidity in the USA. Design/methodology/approach By means of an artificial neural network, market sentiment is extracted from 66,070 US real estate market news articles from the S&P Global Market Intelligence database. For training of the network, a distant ...

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