Pricing Structure in Tokyo Metropolitan Land Markets and its Structural Changes: Pre-bubble,Bubble, and Post-bubble Periods

In this paper, we estimate hedonic price equations of Japanese commercial and residential land prices for a 25-year period and to investigate possible structural changes in these price equations. Our price equations are based on transaction prices, not appraised land values, of commercial land in Central Business Districts of Tokyo (Chiyoda Ward, Chuo Ward, and Minato Ward), and residential land of its suburb (Setagaya Ward). We find that price structure differs substantially among locations, reflecting differences in supplier pricing and end-user preferences. We also find significant structural changes in price structure, identifying pre-bubble, bubble and post-bubble periods.

Directional Land Value Gradients

The standard urban model supports the concept of a constant land price gradient throughout the urban area. It is a reasonable conjecture that the land price gradient would vary with direction from the CBD. The variation in the gradient could be caused by a number of factors, but the idea that the land price gradient is flatter along radial transportation routes than in other directions is widely recognized even though there is little rigorous empirical work supporting this belief. This paper will examine the structure of urban land prices with a focus on the land price gradient as a function of the direction around the center of the city using a piecewise linear function. The added flexibility in the gradient estimate gained by this approach reveals a dramatically varying directional land price gradient.

Fundamental Real Estate Prices: An Empirical Estimation with International Data

We propose two alternative models to estimate fundamental prices on real estate markets. The first model is based on a no-arbitrage condition between renting and buying. The second model interprets the period costs as the result of market equilibrium between housing demand and supply. We estimate both models for the USA, the UK, Japan, Switzerland, and the Netherlands. We find that observed prices deviate substantially and for long periods from their estimated fundamental values. However, we find some evidence that, in the long-run, actual prices tend to return to their fundamental values progressively. This result is due to both impulse–response functions and forecast analyses. In particular, we find that using the fundamental price significantly increases the accuracy of out-of-sample long-term forecasts of the price.

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.

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.

Dynamic Residential Housing Cycles Analysis

This paper develops and tests a theoretical model for residential housing market cyclical dynamics. The model employs an interactive supply and demand framework to engender housing price dynamics. Under our set of assumptions, the two equation system is econometrically identified: the first equation, housing demand, relates rent, property values, and capitalization rates with demand fundamentals. The second equation, housing supply, relates housing investment and property values with supply fundamentals. Using the model, we analyze empirically the cyclical dynamics for residential properties in Los Angeles, San Francisco, San Diego and Sacramento for the 1988–2003 time period. The theoretical and econometric design represents improvements and/or modifications of previous studies in at least four ways. First, many of the earlier commercial cyclical analyses have focused on office appraisal and have relied on sparse transactions data, which are likely to be less reliable than the copious amount of residential transactions data. Second, the cyclical volatility and timing of single-family housing is different than that of commercial real estate. Third, by examining different local MSA markets in California, our study distinguishes and isolates national-macro, regional and local market variable effects upon cycles. Finally, utilizing quarterly data (versus annual data) sharpens our ability to focus upon cyclical behaviour. Our empirical analyses suggest that fundamentals, such as employment growth and interest rates are key determinants of the residential real estate cycles. However, in general, local fundamentals tend to have greater cyclical impacts than those of national or regional fundamentals.

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.

The ex-dividend day stock price anomaly: evidence from the Greek stock market

This paper examines the ex-dividend stock price and trading volume behavior in the Greek stock market for the period 2000–2004. We use both standard event-study methodology and cross-sectional regression analysis in assessing the ex-dividend stock price anomaly. We find that stock prices drop less than the dividend amount. By examining abnormal returns as well as abnormal trading volume around the ex-dividend day, we find strong evidence of short-term trading, which is consistent with the presence of dividend-capturing activities around the ex-dividend day. The results from the cross-sectional regression analysis confirm that the short-term trading hypothesis explains the ex-dividend day stock price anomaly in Greece.

Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity

Existing literature on housing prices is predominantly in a linear framework, and an important question that has not been addressed is whether housing prices exhibit nonlinearity. We examine Smooth Transition Autoregressive (STAR) model based nonlinear properties of housing prices over the 1969–2004 period for the entire US and the four regions. Our main findings are (1) housing price for the entire US and all regions except for the Midwest show non-linearity, (2) the dynamic properties implied by the nonlinear estimation explain the typical patterns that have characterized each housing market, and (3) results of Granger causality tests look more plausible in the nonlinear framework where we find stronger evidence of Granger causality from housing price to employment and also from mortgage rates to housing price.

Residual income,value-relevant information and equity valuation: a simultaneous equations approach

The paper uses Ohlson (Contemp Account Res 11:661–687, 1995) and compares the relative predictability of the proposed simultaneous model for contemporaneous stock price with a traditional single equation model used by the previous studies. The paper also explores how residual income and value-relevant information affect firms’ equity price. The main results of the paper suggest that the predictive ability and estimation efficiency of the simultaneous models in explaining contemporaneous stock prices are better than those of the traditional single models. Moreover, investors will use the value-relevant information beyond accounting earnings, namely analysts’ earnings forecasts, bankruptcy cost and agency cost, in equity valuation to make decision. Note particularly, the higher the bankruptcy or agency cost is, the more important the role it plays in equity valuation and, on average, the higher the accuracy of price prediction is.

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.

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.

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.

Does Bancassurance Reduce the Price of Financial Service Products?

I assess the impact of bancassurance on the price of retail financial services. I find that service fees in a product bundle increase less than proportionally to the number of services; that an increase in the number of clients in each product bundle market reduces fees by 1.5%; that the degree of competition in the markets of each bundle also reduces fees; that premium products have higher average costs; and finally, that cross-holdings reduce prices by about 5% and bancassurance reduces prices by just over 6%. The price reduction declines if both strategies are combined.

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.

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.

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.

Securities Transaction Tax and Market Efficiency: Evidence from the Japanese Experience

This study examines the effect of transaction costs on the time series behavior of stock returns over a period surrounding the April 1989 changes in tax rates on securities transactions and capital gains in Japan. We find significant decreases in estimates of the first-order autocorrelation in returns for Japanese stocks listed in Japan, but no changes for Japanese stocks dually listed in the United States as American Depository Receipts (ADRs), which were not subject to the tax law change. We also find lower price basis between the ADRs and their underlying Japanese stocks. These results are consistent with the hypothesis that a reduction in transaction costs improves the efficiency of the price discovery process.

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.

Measuring the impact of sales on earnings and equity price

In this paper we examine how sales affect earnings and in turn the stock price using a model in which sales contribute to earnings by a fixed sales margin rate and the stock price responds more sensitively to sales-induced earnings than to non-sales-induced earnings. We report that the regression coefficient of the sales margin (2.54) is about three times the earnings response coefficient (0.85) for the full sample and can be as high as 19 times the earnings response coefficient for an industry (i.e., 11.95 vs. 0.62 for restaurants). We contribute to the literature by identifying and documenting factors that make separating out the sources of earnings more important in equity pricing.