The economics of land transfer and title insurance

In the presence of uncertainty over the title of land (due to fraud or error), a legal system can protect either the current (innocent) owner, or a previous owner who claims title. The predominant system in the United States generally awards title to the latter in the event of legitimate claim. Thus, current owners frequently purchase title insurance to provide indemnification in the event of a loss. In contrast, the Torrens system awards title to the current owner, but provides for indemnification of any legitimate claimants. We evaluate these two systems and argue that if transaction costs are low, both promote efficient assignment of title (according to the Coase Theorem), but if transaction costs are high, the Torrens system is more likely to award title to the party that values it the most (namely, the current possessor).     

A Varying Parameters Approach to Constructing House Price Indexes

Conventional housing price index models assume interperiodparameter stability and typically employ either repeat sales or hedonic methodologies. This paper introduces a method of index construction that combines multiple sales observations with single sale transactions while permitting characteristics prices from hedonic regressions to vary over time. A test for interperiod parameter stability is provided. Each period's data are arranged by location and repeat sales are matched by rows. This construction allows greater use of sample information and acknowledges the unique contribution of repeat sales to the estimation process. It also produces intertemporal error correlations that can be beneficially exploited by the seemingly unrelated regressions (SUH) technique. The paper also demonstrates a significance test for error correlation and discusses the treatment of unequal numbers of observations among index periods.     

Estimating Bargaining Effects in Hedonic Models: Evidence from the Housing Market

Bargaining is common in markets for heterogeneous goods and differences in bargaining power between buyer and seller affect the negotiated transaction price. Previous research has found systematic evidence in the housing markets that weak buyers pay higher prices and weak sellers receive lower prices for their homes. Earlier work has modeled the bargaining effect as a parallel shift in the hedonic function, implicitly assuming that attribute shadow prices were unaffected by the bargaining process. In this paper, we use a sample of home sales where the seller's bargaining power is weakened by the fact that the home is vacant at the time of sale to test whether the effect of bargaining is best captured by a shift in the hedonic constant or whether the attribute shadow prices vary as well. The question is significant for property valuation where estimation of the marginal value of an attribute is commonly used to adjust comparable sales data. We find strong confirmation that bargaining power influences the negotiated price. We also find evidence that bargaining power alters attribute prices, although we do not find a consistent pattern across markets.     

The Dynamics of Location in Home Price

It is well established that house prices are dynamic. It is also axiomatic that location influences such selling prices, motivating our objective of incorporating spatial information in explaining the evolution of house prices over time. In this paper, we propose a rich class of spatio-temporal models under which each property is point referenced and its associated selling price modeled through a collection of temporally indexed spatial processes. Such modeling includes and extends all house price index models currently in the literature, and furthermore permits distinction between the effects of time and location. We study single family residential sales in two distinct submarkets of a metropolitan area and further categorize the data into single- and multiple-transaction observations. We find the spatial component is very important in explaining house price. Moreover, the relative homogeneity of homes within the submarket and the frequency with which homes sell affects the pattern of variation across space and time. Differences between single and repeat sale data are evident. The methodology is applicable to more general capital asset pricing when location is anticipated to be influential.     

Analysis of Credit Risks in Asset-Backed Securitization Transactions in Singapore

Asset-backed securitization (ABS) is a relatively new financial instrument in Singapore's capital market, which has been accepted by developers (originators) as an alternative source of financing. Credit assessment and rating requirements have not been imposed on the ABS bond issues. Default-risk evaluation has also been understated, if not omitted, in the process of structuring ABS deals. This is the first study that applies a theoretical default-risky swaps valuation model to evaluate credit risks in ABS bonds in Singapore. The Monte-Carlo simulation results, based on the Century Square shopping mall ABS case, show significant effects of the changes in rental volatility and default-free interest rate volatility on the default-risk premium of swap. More specifically, an increase in the rental volatility reduces the default-risky swap values significantly. However, an increase in the instantaneous default-free interest rate volatility increases the default-risk premium of swaps, and this effect is only observed in the high default-free interest rate volatility regime (above 20 percent). The results suggest that the rental dynamics of the securitized real estate are critical in determining the default risks of ABS deals. The fixed-rate (coupon yield) and floating-rate (rental cash flows) should therefore be adequately determined to reflect the default risks, which may be caused by the rental dynamics of the securitized real estate.     

The pricing of adjustable rate mortgage contracts

This article analyzes the structure of ARM contracts and the pricing of their component features, based on the view of ARMs as a complex bundle. Unlike previous studies, which have generally relied on option-based simulation techniques, our analysis specifies a microeconomic model of the lender as a profit-maximizer which is then tested using firm-specific data. The empirical results, which are consistent with the microeconomic model, indicate that the lender acts as a profit-maximizing firm in pricing the features of the ARM contract. Furthermore, the results suggest that while the interest-rate cap parameters dominate in the pricing of ARMs, other features are also important. Thus, theoretical and empirical ARM pricing models should embrace other features of the contract besides the cap parameters.     

Reverse Mortgages and Borrower Maintenance Risk

This paper develops a theoretical model of the problem of maintenance risk in reverse mortgages (RMs) and home equity conversion instruments generally. By maintenance risk, we refer to the incentive homeowners will have to reduce maintenance expenditures as their equity in the house falls during the term of the RM. The underlying reason for this tendency is the limited liability feature of RMs, given that a borrower's obligation to the lender at. maturity is limited to the value of the house.
The results of the model show that lenders will respond to this problem either by limiting the amount of RM loans to guarantee that maintenance risk is not a threat, or by charging an interest rate premium to cover the expected cost of default. Unfortunately, there do not exist data to test the importance of maintenance risk as a possible limitation on the extent of the RM market.     

On Option-Pricing Models in Real Estate: A Critique

This paper considers the problems peculiar to options on real estate, because of the special set of institutional factors influencing real estate markets. It is intended to serve as a reply to Johnson and Wofford [15] as well as provide an overall critique of option-pricing models in a real estate context. Our major point is that a variety of real estate decisions, such as the abandonment decision, the option to refinance, or the option to exercise a contingent real estate purchase contract, may be modeled using option-pricing techniques. However, both the theoretical and institutional aspects of real estate markets must be taken into account in both developing and applying option models in a real estate context.     

An Experimental Analysis of the Impact of Intermediaries on the Outcome of Bargaining Games

We conduct an experimental analysis of the bargaining between a buyer and a seller of the exchange of a single good by means of an intermediary or broker. We examine how an intermediary affects the price, the likelihood of a successful negotiation, and the time it takes to complete a negotiation. We first examine the impact of the intermediary as a pure middleman, and then as an information source about the distribution of seller and buyer reservation prices. The results show that an intermediary, whether or not informed, increases the sale price, reduces the likelihood of an agreement, and increases the time to reach an agreement (though the number of bargaining rounds declines). The results suggest that the benefits of brokerage may be predominantly in the matching of buyers and sellers rather than in facilitating bargaining.     

Retail Leasing: The Determinants of Shopping Center Rents

The determinants of lease rentals are of fundamental importance to real estate researchers and practitioners. Retail leases are unique in that they typically have two rental components: a base rent and an "overage" rent equal to a percentage of the tenant's gross sales above some threshold level. In this paper, we develop and test a simple cash flow model of retail lease valuation that predicts that base rents are lower with higher percentage rent rates and are higher with greater threshold levels of sales. Using a sample of shopping center leases, regression analysis indicates that these tradeoffs are observed in the market.