We document what fraction of the housing stock in US cities is affordable to different family types. Rather than looking at what fraction of their income people actually pay in rent in each city, which reflects a mix of households’ ability to pay and supply conditions, we look at the extent to which the housing stock is affordable using discrete housing expenditure share cutoffs and the distribution of rents in the American Community Survey from each city.
Using a convolutional neural networks approach to process the images, this study reviews Airbnb listings in two cities and derives a descriptive model of image technical features, content, and other property attributes (e.g., price, textual information, characteristics) to predict demand at the property level.
We model leverage cycles in the natural laboratory of a mature asset class, namely US Commercial Real Estate. In this setting we can observe entrepreneurs' asset values as well as debt balance and thus model capital-market yields, as conditioned by market-wide leverage, which indicates debt availability. Using a VAR framework, we examine variance decompositions and impulse-response functions. We show that leverage constitutes the primary driver of innovations in capital-market yields and vice versa. We further find evidence for flight to quality as well as knock-on effects that affect low-leverage entrepreneurs in the market.
This paper studies the investment decisions and price impact of non-resident foreigners in the Paris housing market, employing unique micro-level transaction data over the period 1992–2016. We find that these “out-of-country” buyers generally purchase relatively small but high-quality properties in desirable neighborhoods and in areas with high ratios of compatriots.
We examine the link between endowment investment performance and the expertise of university board members. Harnessing detailed information on 11,019 members for 579 universities, we find that expertise in alternatives and larger professional networks are associated with higher allocations to alternatives and better investment results.
Flight to safety (FTS) affects the markets for risky assets such as stocks, corporate bonds, and commodities. Yet, little is known about the effects on commercial real estate. Our findings benefit investors by providing estimates of the short-term return and liquidity response of REITs to FTS episodes, and by documenting long-term effects on REIT revenues and real asset values.
We use changes in real estate prices to study the sensitivity of CEO compensation to luck and to responses to luck. Pay for luck can be optimal when CEOs are expected to react to luck.
The availability of high quality and “clean” data documenting historical individual stock performance has had a profound impact on financial economics and the financial‐services industry.
This paper examines private equity (both buyout and venture funds) performance around the globe using four data sets from leading commercial sources. For North American funds, our results echo recent research findings: buyout funds have outperformed public equities over long periods of time; in contrast, venture funds saw performance fall after spectacular results for vintages in the 1990s. For funds outside North America, buyout funds show performance similar to those in North America while venture fund performance is weaker than in North America. Venture samples outside North America are, however, relatively small and strong conclusions await further research. The similarity of performance estimates across the data sets strengthens confidence in conclusions about the results of private equity investing.
This paper examines how the international demand for luxury consumption affects the real estate market in global hotspots.