In stark contrast with liquid asset returns, I find that commercial real estate idiosyncratic return means and variances do not scale with the holding period, even after accounting for all cash flow relevant events. This puzzling phenomenon survives controlling for vintage effects, systematic risk heterogeneity, and a host of other explanations. To explain the findings, I derive an equilibrium search-based asset-pricing model which, when calibrated, provides an excellent fit to transactions data.
We conduct an experiment designed to understand how social preferences affect investment decisions by observing subjects’ stock allocations and probability assessments. Key to the design is that subjects’ investment outcomes are treated by neutral, negative or positive payoff externalities on social causes. Our findings of asymmetric responses in probability perceptions and allocations suggest negative, but not positive, responsible investment (RI) externalities have significant effects.
Despite extensive empirical evidence of the economic and financial benefits of green buildings, energy retrofit investments in existing buildings have not reached widespread adoption.This paper empirically estimate returns to energy retrofit investments for multifamily and commercial buildings in New York City, using a novel database of actual audit report recommendations and permitted renovation work extracted using natural language processing.
This research paper develops a substantial, large-scale database of building energy use, energy audit reports, land use, and financial characteristics in New York City to empirically model the hurdle rate for energy retrofit investments, using actual audit data per permitted renovation work.
Hart (2011) argues that the Aumann and Serrano (2008) and Foster and Hart (2009) measures of riskiness have an objective and universal appeal with respect to a subset of expected utility preferences, UH. We show that mean-riskiness decision-making criteria using either measure violate expected utility and are generally inconsistent with optimal portfolio choices made by investors with preferences in UH.
After screening for attentiveness and comprehension, we present subjects with Ellsberg's (1961) two‐urn problem using essentially equivalent but representationally complex matrices. High‐comprehension subjects exhibit rates of ambiguity aversion typical of the standard two‐urn problem, while low‐comprehension subjects appear to randomise.
In stark contrast with liquid asset returns, commercial real estate idiosyncratic return means and variances do not scale with the holding period. This puzzling phenomenon survives a variety of controls for vintage effects, systematic risk heterogeneity, and sample selection biases. To explain these findings, I derive an equilibrium search-based illiquid asset-pricing model which, when calibrated, provides an excellent fit to the data.
We model the threat of such liquidation through the intermediation of an activist shareholder. Among other things, our model predicts that MDPs are more likely to be adopted by funds that appear to be less effective in providing portfolio services to their investors and that are relatively easy to liquidate or ‘attack’. We test the model on a panel of 236 CEFs and find good agreement with our model.