School Quality, House Prices and Liquidity

This paper develops an empirical framework for taking into account the effects of endogenous liquidity on price capitalization estimates. Changes in school attendance zones in the East Baton Rouge Parish public school district provide a natural experiment for studying how changes in school characteristics affect house prices and liquidity. House price and selling time, or liquidity, are simultaneously determined in search markets. The empirical model exploits variation in the surrounding neighborhood market conditions pertinent to each house to identify the system of price and liquidity equations. The estimates are consistent with search-market theory in that liquidity absorbs part of the capitalization of school quality.

Spatial Dependence,Housing Submarkets,and House Price Prediction

This paper compares alternative methods of controlling for the spatial dependence of house prices in a mass appraisal context. Explicit modeling of the error structure is characterized as a relatively fluid approach to defining housing submarkets. This approach allows the relevant submarket to vary from house to house and for transactions involving other dwellings in each submarket to have varying impacts depending on distance. We conclude that—for our Auckland, New Zealand, data—the gains in accuracy from including submarket variables in an ordinary least squares specification are greater than any benefits from using geostatistical or lattice methods. This conclusion is of practical importance, as a hedonic model with submarket dummy variables is substantially easier to implement than spatial statistical methods.

Do Repeated Wildfires Change Homebuyers’ Demand for Homes in High-Risk Areas? A Hedonic Analysis of the Short and Long-Term Effects of Repeated Wildfires on House Prices in Southern California

Unlike most hedonic studies that analyze the effects of a one-time event, this paper analyzes the effects of forest fires that are several years apart in a small geographical area. We find that repeated forest fires cause house prices to decrease for houses located near the fires. We test and reject the hypothesis that the house price reduction from one fire is equal to the house price reduction from a second fire. The first fire reduces house prices by about 10%, while the second fire reduces house prices by nearly 23%, a statistically significant difference. The pattern of these results are robust to several alternative econometric specifications.

The Relative Impacts of Trails and Greenbelts on Home Price

This study examines the impacts of trails and greenbelts and other amenities on home value. Using the hedonic framework the study provides analyses of a database consisting of roughly 10,000 sales of homes occurring from April 2001 to March 2002 in and around San Antonio, Bexar County, Texas. Among other things, our study shows that trails, greenbelts, and trails with greenbelts (or greenways) are associated with roughly 2, 4, and 5%, price premiums, respectively. The following amenities: proximity to golf course, neighborhood playground, tennis court, neighborhood pool, view, and cul-de-sac, all add significantly to home value.

Individual Agents,Firms, and the Real Estate Brokerage Process

This study examines how individual agents affect house selling prices and time on the market while controlling for brokerage firm-specific effects as well as supply and demand conditions that vary by neighborhood. Firm size effects disappear once firm specialization and agent characteristics are taken into account but geographic concentration by firms leads to higher selling prices. For individual agents, neither sex nor selling own listings affects price or selling time, but there are gains from partnering transactions across firms. Agents who specialize in listing properties obtain higher prices for their sellers while those who specialize in selling obtain lower prices for their buyers. Houses nearer to other transactions of an agent sell for higher prices. Finally, greater scale of listing and selling activity by an agent tends to lower selling price or lengthen the time on the market.

Trading House Price Risk with Existing Futures Contracts

This paper examines the use of futures contracts to hedge residential real estate price risk. We examine whether existing futures contacts can effectively be used to offset volatility in national house prices. Little evidence of any simple systematic relation between national prices and futures prices is found. Since house prices are not easily replicated with a portfolio of existing futures contracts, a further implication is that the Chicago Mercantile’s introduction of a financial asset whose value reflects house prices will help complete the market. Nevertheless, the success of the CME’s new derivative contracts may be limited in light of state and regional house price correlations.

House Prices and Bubbles in New Zealand

This paper studies actual (real) house prices relative to fundamental (real) house values in New Zealand for the period 1970–2005. Utilizing a dynamic present value model, we find disparities between actual and fundamental house prices in the early 1970s and 1980s and from 2000 to date. We model the bubble component that is related to fundamentals (the intrinsic component), making it possible to highlight whether a bubble still exists after that component is accounted for. We then analyze any remaining bubble to detect any momentum behavior. Much of the overvaluation of the housing market is found to be due to price dynamics rather than an overreaction to fundamentals.

Domino Effects Within a Housing Market: The Transmission of House Price Changes Across Quality Tiers

We argue that shocks to a housing market are transmitted through the hierarchy of quality tiers within a housing market. The result is the prediction of waves of house price changes accompanied by changes in transaction volume. Our study is related to existing models of spatial ripple effects across housing markets. The data are from the Hong Kong housing market. The findings from Granger causality tests strongly support the argument that domino effects within a single housing market occur in response to external shocks.

Spectral Risk Measures: Properties and Limitations

Spectral risk measures (SRMs) are risk measures that take account of user risk-aversion, but to date there has been little guidance on the choice of utility function underlying them. This paper addresses this issue by examining alternative approaches based on exponential and power utility functions. A number of problems are identified with both types of spectral risk measure. The general lesson is that users of spectral risk measures must be careful to select utility functions that fit the features of the particular problems they are dealing with, and should be especially careful when using power SRMs.

Determinants of House Prices: A Quantile Regression Approach

OLS regression has typically been used in housing research to determine the relationship of a particular housing characteristic with selling price. Results differ across studies, not only in terms of size of OLS coefficients and statistical significance, but sometimes in direction of effect. This study suggests that some of the observed variation in the estimated prices of housing characteristics may reflect the fact that characteristics are not priced the same across a given distribution of house prices. To examine this issue, this study uses quantile regression, with and without accounting for spatial autocorrecation, to identify the coefficients of a large set of diverse variables across different quantiles. The results show that purchasers of higher-priced homes value certain housing characteristics such as square footage and the number of bathrooms differently from buyers of lower-priced homes. Other variables such as age are also shown to vary across the distribution of house prices.

Mispricing and the cross-section of stock returns

This paper employs the Campbell-Shiller (Rev Financ Stud 1:195–228, 1988) VAR model to derive a model-based mispricing measure that captures investor overreaction to growth. Using this mispricing measure, we find that stocks with low levels of mispricing outperform otherwise similar stocks. The long–short mispricing strategy generates statistically and economically significant returns over the sample period of July 1981 to June 2006. Moreover, this mispricing strategy outperforms the contrarian strategy using various accounting-fundamental-to-price ratios. Our results cast doubt on the risk story in explaining the abnormal returns of the mispricing strategy. Rather, our evidence suggests that asset prices reflect both covariance risk and mispricing.

Asymmetric timeliness tests of accounting conservatism

Recent accounting research employs an asymmetric timeliness measure to test the hypothesis that reported accounting earnings are “conservative.” This research design regresses earnings on stock returns to examine whether “bad” news is incorporated into earnings on a more timely basis than “good” news. We identify properties of the asymmetric timeliness estimation procedure that will result in biases in the test statistics except under very restrictive conditions that are rarely met in typical empirical settings. Using data series that are devoid of asymmetric timeliness in reported earnings, we show how these biases result in evidence consistent with conservatism. We conclude that the biased test statistics inherent in the asymmetric timeliness research design preclude using this method to measure conservatism; that these biases are irresolvable as they originate in the test’s specification; and that studies employing asymmetric timeliness tests cannot be interpreted as providing evidence of conservatism.

Can Space Syntax Help Us in Understanding the Intraurban Office Rent Pattern? Accessibility and Rents in Downtown Stockholm

The effect of accessibility upon rent is investigated for office properties located in Downtown Stockholm. Starting from the firm’s cost minimization problem, a translog hedonic model is derived. The results suggest the model has good predictive power in explaining the variation in the log of the rent. A negative rent gradient is obtained with a base approximately 90 m from the postulated focal point. It appears as if Space Syntax adds important information to the understanding of the intraurban office rent pattern.

Hedging House Price Risk with CME Futures Contracts: The Case of Las Vegas Residential Real Estate

Until the recent introduction of real estate futures on the Chicago Mercantile Exchange (CME), there have been few opportunities to manage house price risk. This paper examines whether house price risk can be effectively hedged in Las Vegas, one of the CME contract cities. The analysis considers hedging from the viewpoint of real estate investment groups, mortgage portfolio investors, builder/developers and individual homeowners. For investment groups and mortgage holders holding a mix of new and existing home assets, CME futures would have reduced house price risk by more than 88% over the 1994–2006 period. Similarly, homeowners implicitly hedging price volatility of existing homes also would have fared well over the sample period. However, builder/developers worried about new home price appreciation would have been much less successful in managing their risk. One important caveat, minimum variance hedge ratios change over time and may cause hedge performance to suffer.

Are candlestick technical trading strategies profitable in the Japanese equity market?

We show that candlestick charting, the oldest known form of technical analysis, is not profitable in the Japanese equity market over the 1975–2004 period. Candlestick technical analysis, which was developed in Japan in the 1600s, is deeply intertwined with Japanese culture and is very popular in Japan. However, there is no evidence candlestick technical trading strategies add value in either the entire 30 year period, in three 10 year sub-periods or in bull or bear markets.

Performance measurement for investment decisions under capital constraints

An owner delegates investment decisions to a better informed manager whose time preferences are unknown to the owner. Due to exogenous capital constraints, not all profitable projects can be undertaken, and therefore the owner wants the manager to select the NPV-maximizing set of projects. We show that the relative benefit cost allocation scheme proposed by prior literature does not solve this problem. Adopting the same information structure as in Rogerson (J Polit Econ 105, 770–795, 1997) and Reichelstein (Rev Account Stud 2, 157–180, 1997), we demonstrate how to obtain robust goal congruence using residual income. The resulting revenue recognition and cost allocation rules lead to a performance measure reflecting the expected NPV-ranking of projects in each and every period.

Valuing corporate securities: some effects of bond indenture provisions—a correction

This paper identifies and corrects a typographical error in Black and Cox (J Finance 31:351–367, 1976). While the typographical error is seemingly trivial, the magnitude of the pricing error that it generates can be substantial.

Taxation on Land Value and Development When There Are Negative Externalities from Development

This article employs a real options framework to investigate the design of taxation on both land value and development in a competitive real estate market. We assume that developed properties reduce open space, and thereby harm urban residents. However, ignoring this negative externality, landowners will develop properties sooner than is socially optimal. A regulator can correct this tendency by imposing a positive tax on development or a negative tax on land value. Alternatively, the regulator can implement both instruments simultaneously, in which case an increase in the tax rate on development will be accompanied by an increase in the tax rate on land value, and vice versa.

Foreclosure Sales: The Effects of Price Expectations, Volatility and Equity Losses

Where borrowers are personally liable for shortfalls when they default on their mortgages, lenders have to exercise a duty of good faith in securing a reasonable value for the foreclosed property. The lender is entitled to recover the outstanding loan as quickly as possible, and is not bound to sell the foreclosed property at the highest price. Such an institutional setting allows us to study lender and borrower behavior, specifically the influence of price expectations, volatility and equity losses on foreclosure transactions using non-foreclosure transactions as a comparison. Our results show that differences in seller response to market expectations and equity losses exist across foreclosure and non-foreclosure transactions. Seller behavior matters. While price expectations, volatility and equity losses are influential factors for individual households, past price movements is the most important. This study also further seeks to distinguish loss aversion from disposition effect. By controlling for properties that suffered losses in equity but did not sell, we are able to examine the disposition effect in house owners. The result shows that there is disposition effect for non-foreclosure properties, where individual homeowners are reluctant to sell if the properties suffer losses.

Asset Price Spillover,Collateral and Crises: with an Application to Property Market Policy

This paper studies the impact of land supply elasticity and land use regulation. For sufficiently adverse shocks constrained entrepreneurs liquidate their assets for debt repayment. This effect can spillover to the residential property market. A crisis occurs when households are forced to default on their mortgages as well. While both converting costs and land use regulation tend to magnify the effect of adverse shock, the former generates an asymmetric effect between a positive and a negative shock on the land market, and the latter tends to raise the likelihood of a crisis, by raising the threshold value of liquidation.