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).     

THE VALUE ADDED BY BANK ACQUISITIONS: LESSONS FROM WELLS FARGO'S ACQUISITION OF FIRST INTERSTATE

Wells Fargo's recent acquisition of First Interstate Bancorp represents one of the relatively uncommon cases in which the economic values of both the acquiring and acquired banks increased sharply upon announcement of the deal. The transaction is also one of the few cases where the bidder in a major bank acquisition chose purchase instead of pooling accounting–despite the fact that the deal was openly hostile and that Wells Fargo had to fight off a competing bid from First Bank Systems.
Based on the stock market's reaction to this merger battle, as well as the results of their study of 153 bank mergers over the period 1985–1991, the authors argue that the most promising mergers are those presenting large opportunities to reduce costs by eliminating redundant operations. The stock market is much less responsive to other merger rationales such as diversification or entry into new markets in pursuit of growth.
The Wells case also suggests that a preoccupation with the accounting treatment of a merger is a mistake if it becomes the primary reason for turning down a deal that creates economic value, or if it prevents the bidder from choosing the lowest-cost method of financing the deal. Throughout the bidding contest for First Interstate, the stock market responded positively to the success of Wells Fargo's efforts, even though purchase accounting would have a large adverse impact on reported earnings.
But if the stock market does not appear to care about the accounting treatment of a merger, the method of financing does appear to matter to investors. In general, acquisitions financed with cash are viewed more favorably by the market than stockfunded transactions. The evidence also suggests, however, that acquiring firms can reduce the negative impact of stock deals by making conditional offers (those in which the number of shares depends on the stock price performance of the acquirer) and by combining such offers with stock repurchase programs.     

Detecting alcohol abuse: the value of carbohydrate deficient transferrin

The author, an advocate of CDT testing for insurance applicants, senses considerable uncertainty among medical directors concerning the value of the test. This review of CDT literature and the history of CDT testing in insurance laboratories is an attempt to mitigate that confusion. Two principle problems are identified: 1) the expected sensitivity of the CDT test in insurance applicants will be 50% at most, usually considerably less. 2) adapting CDT testing to commercial laboratories has been, and still is, an unsolved problem for there remains an important disparity between the method used at Clinical Reference Laboratories and LabOne. Other important issues are also reviewed: gender differences, ethnicity, LFT's and CDT, and technical facts.     

Testing Market Efficiency: Evidence From The NFL Sports Betting Market

This article examines the efficiency of the National Football League (NFL) betting market. The standard ordinary least squares (OLS) regression methodology is replaced by a probit model. This circumvents potential econometric problems, and allows us to implement more sophisticated betting strategies where bets are placed only when there is a relatively high probability of success. In-sample tests indicate that probit-based betting strategies generate statistically significant profits. Whereas the profitability of a number of these betting strategies is confirmed by out-of-sample testing, there is some inconsistency among the remaining out-of-sample predictions. Our results also suggest that widely documented inefficiencies in this market tend to dissipate over time.     

Spatial Statistics and Real Estate

Real estate has historically employed statistical tools designed for independent observations while simultaneously noting the violation of these assumptions in the form of clustering of same sign residuals by neighborhood, along roads, and near facilities such as airports. Spatial statistics takes these dependencies into account to provide more realistic inference (OLS has biased standard errors), better prediction, and more efficient parameter estimation. This article provides an overview of the field and directs readers to the relevant literature and software.     

The effects of a modest incentive on information overload in an investment analysis task

This paper investigates the effects of performance based monetary incentives on cue usage within the information overload paradigm. Participants suggested appropriate stock prices for hypothetical companies based on either six or nine non-correlated information cues. The presence of monetary incentives motivated increased response times compared to participants who did not receive incentives. This in turn resulted in higher levels of information usage than has been observed in previous studies. The results support the view that information processing capacity imposes a limit on the amount of information processed per unit of time rather than on the amount of information that can be processed in total.     

A Complete Nonparametric Event Study Approach

Event studies have been used to examine the direction, magnitude, and speed of security price reactions to various phenomenon. Concerns over the lack of normality in stock return distributions motivated the introduction of nonparametric test statistics in the event study literature. A parametric procedure (OLS), however, has been extensively employed in the estimation of parameters for the market model. This paper, in contrast, applies Theil's nonparametric regression in the estimation of abnormal returns; an approach which is distribution free and provides a complete nonparametric approach for the detection of abnormal performance. Simulation results indicate Theil's estimation procedure offers a slight improvement in power in the detection of abnormal performance over the traditionally employed methodology. The results suggest employing Theil's nonparametric estimation procedure combined with the rank statistic. This complete nonparametric combination offers similar power with fewer underlying assumptions.     

Outcome effect, controllability and performance evaluation of managers: some field evidence from multi-outlet businesses

This field study provides evidence of the outcome effect in performance evaluations of managers in an organization. Specifically, in a retail chain, subjective evaluations of store managers by their supervisors were negatively impacted by unfavorable outcome knowledge. As expected, outcome determinants over which the managers have control influence their performance evaluations and environmental determinants of outcome over which they have no control do not influence their evaluations. However, unexpectedly, central management determinants of outcome over which the managers have no control also influence their evaluations. After these outcome determinants are considered, we find evidence of an outcome effect since failure of the store to meet its target outcome results in a more negative performance evaluation of the managers. Also, the extent to which store managers' evaluations are prone to the outcome effect is not contingent on the measure of the outcome used.     

How do house prices affect consumption? Evidence from micro data

Housing is a major component of wealth. Since house prices fluctuate considerably over time, it is important to understand how these fluctuations affect households’ consumption decisions. Rising house prices may stimulate consumption by increasing households’ perceived wealth, or by relaxing borrowing constraints. This paper investigates the response of household consumption to house prices using UK micro data. We estimate the largest effect of house prices on consumption for older homeowners, and the smallest effect, insignificantly different from zero, for younger renters. This finding is consistent with heterogeneity in the wealth effect across these groups. In addition, we find that regional house prices affect regional consumption growth. Predictable changes in house prices are correlated with predictable changes in consumption, particularly for households that are more likely to be borrowing constrained, but this effect is driven by national rather than regional house prices and is important for renters as well as homeowners, suggesting that UK house prices are correlated with aggregate financial market conditions.