Exploring the determinants of liquidity with big data – market heterogeneity in German markets

Abstract

Purpose

The purpose of this paper is to examine the market liquidity (time-on-market (TOM)) and its determinants, for rental dwellings in the largest seven German cities, with big data.

Design/methodology/approach

The determinants of TOM are estimated with the Cox proportional hazards model. Hedonic characteristics, as well as socioeconomic and spatial variables, are combined with different fixed effects and controls for non-linearity, so as to maximise the explanatory power of the model.

Findings

Higher asking rent and larger living space decrease the liquidity in all seven markets, while the age of a dwelling, the number of rooms and proximity to the city centre accelerate the letting process. For the other hedonic characteristics heterogeneous implications emerge.

Practical implications

The findings are of interest for institutional and private landlords, as well as governmental organisations in charge of housing and urban development.

Originality/value

This is the first paper to deal with the liquidity of rental dwellings in the seven most populated cities of Europe’s second largest rental market, by applying the Cox proportional hazards model with spatial gravity variables. Furthermore, the German rental market is of particular interest, as approximately 60 per cent of all rental dwellings are owned by private landlords and the German market is organised polycentrically.

Citation

Cajias, M. and Freudenreich, P. (2018), "Exploring the determinants of liquidity with big data – market heterogeneity in German markets", Journal of Property Investment & Finance, Vol. 36 No. 1, pp. 3-18. https://doi.org/10.1108/JPIF-01-2017-0006