This paper studies the geography of competition on Moscow commercial real estate market. We estimate the elasticity of office rental price to the prices of competing objects as a function of the geographical distance. We found that office real estate market in Moscow, although saturated, is...

Many existing studies on the China real estate industry are empirical, or policyoriented. This paper complements the literature by adopting the DiPasquale and Wheaton model (1996) to study the China housing market, and trace the impact of different policies. Surprisingly, the model is capable of...

This paper was written for the principles for responsible investment project of the United Nations Environment Programme Finance Initiative (UNEP FI). The UNEP FI is a global partnership between UNEP and the financial sector to understand the impacts of environmental and social considerations on...

Business process outsourcing (BPO) is transforming Western companies’ corporate real estate (CRE) requirements. When business processes move to a developing country there are consequences for that country’s CRE practice. This paper considers the effects of western BPO on Indian CRE....

We compare the performance of both hedonic and non-hedonic pricing models applied to the problem of housing valuation in the city of Madrid. Urban areas pose several challenges in data mining because of the potential presence of different market segments originated from geospatial relations....

In this paper an approach for automatic detection of segments where a regression model significantly underperforms and for detecting segments with systematically under- or overestimated prediction is introduced. This segmentational approach is applicable to various expert systems including, but...

To the best knowledge of authors, the use of Random forest as a potential technique for residential estate mass appraisal has been attempted for the first time. In the empirical study using data on residential apartments the method performed better than such techniques as CHAID, CART, KNN,...

We calculate the ex-post portfolio performance for an investor who diversifies among stocks, bonds, REITS and cash. Simulations are performed for two alternative asset allocation frameworks – classical and Bayesian - and for scenarios involving two different samples and six different...

We calculate optimal portfolio choices for a long-horizon, risk-averse European investor who diversifies among stocks, bonds, real estate, and cash, when excess asset returns are predictable. Simulations are performed for scenarios involving different risk aversion levels, horizons, and...