Recourse as shadow equity: Evidence from commercial real estate loans

We study the role that recourse plays in the commercial real estate loan contracts of the largest U.S. banks. We find that recourse is valued by lenders as a substitute for conventional equity. At origination, recourse loans have rate spreads that are about 20 basis points lower and loan-to-value ratios that are almost 3 percentage points higher than nonrecourse loans. Dynamically, recourse affects loan modification negotiations by providing additional bargaining power to the lender. Recourse loans were half as likely to receive accommodation during the COVID-19 pandemic, and the modifications that did occur entailed a relatively smaller reduction in payments.     

House Prices and Rents: Microevidence from a Matched Data Set in Central London

I analyze a real estate agency's proprietary dataset containing tens of thousands of housing sale and rental transactions in Central London during the 2006–2012 period. I isolate 1,922 properties that were both sold and rented out within six months and measure their rent‐price ratios. I find that rent‐price ratios are lower for bigger and more central units. These stylized facts are consistent with the user cost formula and reflect differences in maintenance costs, vacancy rates, growth expectations and risk premia.     

The Boom,the Bust and the Future of Homeownership

This article investigates the boom and bust in U.S. homeownership rates over the 2000–2010 period. Using individual‐level census data, we first estimate 204 homeownership regressions stratified by household age (21, 22, …, 89) and survey year (2000, 2005 and 2009). Shift‐share methods confirm that changes in the model coefficients that reflect household attitudes, lending standards and other market conditions—but not population socioeconomics—were the primary driver of the boom and bust in homeownership over the decade. This pattern holds for nearly all age groups and is more pronounced for recent movers. Results also suggest that homeownership rates may have come close to bottoming out in early 2013 at 65% after falling roughly four percentage points from their peak in 2006. This suggests little lasting effect of the grand homeownership policy experiment of recent decades.     

Idiosyncratic Risk of House Prices: Evidence from 26 Million Home Sales

This paper uses about 26 million home sales to measure house price idiosyncratic risk for 7,580 U.S. zip codes during three periods: (1) when the U.S. housing market was stable (1996–2000), (2) booming (2001–2007) and (3) busting (2007–2012), and investigates the determinants of house price risk. We find very strong relationships between risk and some basic housing market characteristics. There is a U‐shaped relationship between risk and zip‐code level median household income; risk is higher in zip codes with more appreciation volatility; and risk is not compensated with higher appreciation.     

The Role of Home Equity Lending in the Recent Mortgage Crisis

Home equity lending grew rapidly from 2000 to 2008 with balances more than tripling. In this article, we examine the role this phenomenon may have played in increasing aggregate default risk during the mortgage crisis. We also document a relationship between growth in home equity lending and high house price depreciation and first mortgage default during the downturn of 2006–2009. Line of credit growth is shown to be associated with large increases in nonowner‐occupied property purchases, suggesting that home equity lines of credit were tapped to fund such investments, exacerbating default rates during the market downturn.     

Do Conspicuous Consumers Pay Higher Housing Premiums? Spatial and Temporal Variation in the United States

This study is the first to examine the relationship between conspicuous demand and housing price dynamics. We hypothesize that conspicuous consumers would want high‐end homes to signal their wealth and this housing consumption behavior would induce greater deviations from fundamental house prices. We test this by using a unique dataset that matches the consumers’ appetite for nonhousing luxury goods from Google Insights for Search to housing premiums that they pay for high‐end houses in U.S. Metropolitan Statistical Areas (MSAs) during 2004–2011. The estimation results demonstrate that controlling for a wide range of MSA demographic and economic characteristics, conspicuous demand has a significant, positive relationship with housing premiums. This relationship varies spatially and temporally. Conspicuous demand has a stronger relationship with a price increase in high‐end homes in MSAs with a steady, higher housing premium than in MSAs with a volatile, lower premium during the boom period. In MSAs with a steady, higher housing premium, the relationship remains significant even during the bust period, potentially contributing to maintaining higher housing premiums.     

Spatial Linkages in Returns and Volatilities among U.S. Regional Housing Markets

This article investigates spatial linkages in returns, idiosyncratic risks and volatilities across 19 U.S. regional housing markets. Using Case & Shiller housing price indices from 1995 through 2009, we find that interconnections across markets can be “wider” and “stronger” than would normally be expected. They are “wider” because, in addition to geographic closeness, economic proximity is also an important source of influence; they are “stronger” because of the significant contagion effects during the 2007–2009 subprime and financial crises. The increased comovement and interdependence, especially among more geographically diverse regions with similar economic conditions, may help explain the failure of geographic portfolio diversification strategies.     

Contigent Price Contracts and the Efficiency of Housing Markets

Frequently, the response of housing markets to a large negative demand shock is a period during which the liquidity of housing declines, but the price at which transactions take place changes little. In this paper we show that a decline in liquidity can result from the inabilities of sellers and buyers to insure against post-shock price uncertainty. We conclude, that the introduction of a risk-sharing contingent price contract may increase the post-shock liquidity of housing by providing insurance against post-shock price uncertainty. Finally, we show that a mutually agreeable contingent price contract will always exist, even when sellers are excessively optimistic.     

RETAIL GASOLINE PRICE DYNAMICS AND LOCAL MARKET POWER*

Using monthly data from the 48 contiguous states (except Nevada) for the 1988–2002 period, it is shown that retail gasoline prices respond faster to wholesale price increases than to equivalent wholesale price decreases. Moreover, markets with high average retail‐wholesale margins experience a slower adjustment and a more asymmetric response. Since gasoline is the only variable input, average margins in a state likely reflect the degree of retail market power. This suggests that sticky prices and response asymmetries in the gasoline market are, at least partially, a consequence of retail market power.     

Externalities of residential property flipping

This study investigates whether flipping activities impose an externality on the transaction prices of the neighboring nonflipped properties. Using a data set of residential property transactions in Clark County, Nevada for the period 2003–2013, we find that flippers impose a significant positive impact on the price of neighboring nonflipped properties in an up market, but a significant negative effect in a down market. This procyclical impact of flipping activity contributes to the volatility of housing prices, hence magnifying boom and bust cycles and increasing the likelihood of a mortgage crisis.     

Urban flight: A short-term phenomenon or long-term trend?

We investigate whether the urban flight from more to less dense locations identified by previous housing studies for the early COVID period is a temporary, pandemic-induced phenomenon, or long-term trend. We focus on the period of 2017–2022, 14,961 single-family home transactions from Southwestern Ontario, and three housing market metrics. Our results for sales price in the early pandemic periods are in line with previous studies. However, our results for sales price in the last pandemic phase (2022), marketing time, and visit activity suggest that the urban flight was a temporary phenomenon characteristic of the early COVID phases.     

Return and Volatility Transmission in U.S. Housing Markets

This article uses the Case‐Shiller U.S. Home Price Indices to analyze spatial dependencies across 16 metropolitan markets for the period January 1989 to June 2006. Return transmission patterns establish New York, San Francisco and Miami as among the most influential markets. In terms of volatility linkages, there is a considerable amount of transmission in the East between New York, Boston and Washington, DC, and innovations in the housing markets of Miami, Los Angeles and San Francisco play an influential role within their respective regions. In comparison, markets in the Central and Mountain regions appear to be relatively independent from external influences. Overall, the linkages appear to be more intensive during the active phase of the real estate market (1999–2006) than during the calm phase (1989–1998).     

Nature of comovements in US state and MSA housing prices

This study analyzes the time-varying nature and determinants of comovements in US housing prices using state and metropolitan statistical area (MSA) data. We employ dynamic factor models with time-varying loadings and stochastic volatility (DFM-TV-SV) to estimate the national, regional, and state factors. The time-varying factor loadings and stochastic volatility features enrich the dynamic factor model structures and are an effective tool to examine the comovements in housing prices. We find that the national factor is the dominant factor in explaining the movement of housing prices. The national factor accounts for 79% of the variation in state-level housing prices on average, with the greatest magnitude occurring during the housing boom and bust periods in many regions and states. We also find that the factors and synchronization effects are time-varying and heterogeneous across regions. The state-level housing prices contain higher national housing factor components in states with more diverse economies, higher wages and house prices, and lower unemployment rates. These findings shed light on the effectiveness of residential real estate diversification across the United States and the potential for elevated national housing risk amid economic downturns due to increased national housing price integration.     

House Prices and Inflation

The present paper examines the long-run impact of inflation on homeowner equity by investigating the relationship between house prices and the prices of nonhousing goods and services, rather than return series and inflation rates as in previous empirical studies on the inflation hedging ability of real estate. There are two reasons for this methodological departure from prior practice: (1) while the total return on housing cannot be accurately measured, the total return on housing is fully reflected in housing prices, and (2) given that using returns or differencing a time series leads to a loss of long-run information contained in the series, valuable long-run information can be captured by using prices. Also, unlike previous related studies, we exclude housing costs from goods and services prices to avoid potential bias in estimating how inflation affects housing prices. Monthly data series are collected for existing and for new house prices as well as the consumer price index excluding housing costs for the period 1968–2000. Based on both autoregressive distributed lag (ARDL) models and recursive regressions, the empirical results yield estimated Fisher coefficients that are consistently greater than one over the sample period. Thus, we infer that house prices are a stable inflation hedge in the long run.     

The Long‐Run Relationship Between House Prices and Rents

I use standard error‐correction models and long‐horizon regression models to examine how well the rent–price ratio predicts future changes in real rents and prices. I find evidence that the rent–price ratio helps predict changes in real prices over 4‐year periods, but that the rent–price ratio has little predictive power for changes in real rents over the same period. I show that a long‐horizon regression approach can yield biased estimates of the degree of error correction if prices have a unit root but do not follow a random walk, and I construct bootstrap distributions to conduct appropriate inference in the presence of this bias. The results lend empirical support to the view that the rent–price ratio is an indicator of valuation in the housing market.     

Search and Liquidity in Single-Family Housing

A two-stage least squares model of housing prices is estimated with data collected from 3358 single-family home transactions. The results provide evidence for an optimal marketing period and indicate that a liquidity premium is priced in single-family home sales. Consistent with the hypothesis derived from economic search models, the model shows higher selling prices for houses having longer expected marketing periods. The model also shows a price premium for houses that sell faster than expectations. This effect supports the concept that liquidity is a value-enhancing characteristic.     

Effects of Macroeconomic Uncertainty and Labor Demand Shocks on the Housing Market

This article shows that macroeconomic uncertainty affects the housing market in two significant ways. First, uncertainty shocks adversely affect housing prices but not the quantities that are traded. Controlling for a broad set of variables in fixed‐effects regressions, we find that uncertainty shocks reduce both housing prices and median sales prices in the amount of 1.4% and 1.8%, respectively, but the effect is not statistically significant for the percentage changes of all homes sold. Second, when both uncertainty and local demand shocks are introduced, the effects of uncertainty on the housing market dominate that of local labor demand shocks on housing prices, median sale prices, the share of houses selling for a loss and transactions. The aforementioned effects are largest for the states that exhibit relatively high housing price volatilities, suggesting real options effects in the housing market during the times of high uncertainty.     

Long‐Term Growth in Housing Prices and Stock Returns

A firm's long‐term stock returns are negatively related to past growth in housing prices in the state where the firm is located. The housing price effect is persistent and robust to controlling for the long‐term stock return reversal effect, changes in mortgage interest rates across the states, cyclicality in housing prices and overall local economic conditions. There is no evidence that extant asset pricing models can adequately explain the effect. The study discusses potential explanations for, and the implications of, the cross‐regional housing price effect.     

Another Look at Tenure Choice, Inflation, and Taxes

The purpose of this paper is to explore the impact of inflation on the demand for housing. The first part of the paper presents a theoretical model that identifies the effects of inflation on the after-tax cost of housing and the choice between rental and owner-occupied housing. The second part discusses the results of a simulation model that measures the effect of inflation on the aggregate demand for housing, the aggregate homeownership rate, and the price of housing. The paper concludes that while inflation can be expected to increase the aggregate demand for housing and the price of housing relative to the general price level, inflation should ultimately lead to lower rates of homeownership. A corollary that is probably more relevant today is that lower inflation rates should reduce the real value of the housing stock and increase the homeownership rate. The paper also contains forecasts of the impact of the Tax Reform Act (TRA) of 1986 upon housing demand and the probability of homeownership for a variety of households.     

Hedging House Price Risk in China

The increasing risk associated with China's housing prices is globally recognized. However, hedging this risk is challenging because of a lack of financial derivatives on China's housing assets. We suggest that the short sale of futures contracts for construction raw materials, i.e., iron ore or/and steel, can act as useful tools to hedge the systematic risk of China's new home price. We first present evidence that there is a strong and stable correlation between changes in China's housing prices and global steel/iron ore prices. Using a hedging strategy model, we then show that, during the sample period between 2009 and 2015, 20.6% of the total unpredicted variance in Chinese housing prices can be hedged by shorting rebar and iron ore futures. We further examine this strategy with an event study based on the announcement of the “home‐purchase restriction” policy in April, 2010. The cumulative abnormal returns show that both steel and iron ore prices reacted significantly to this negative shock, and therefore the proposed strategy could substantially help investors offset losses in the housing market. We finally provide some evidences that this strategy can also help investors in specific regional housing markets, or the resale housing markets.