Decisions,decisions: Cybervetting through the eyes of students

How do students believe employers use social media in vetting job candidates? In this instructional experiment, students evaluated three hypothetical job candidates who had divergent social media presences. Questionable content, even if through an indirect link, was thought to reflect on a candidate's character and was extrapolated to future work performance. Professionally related social media activity boosted perceptions of both the candidate's character and skills. A nonexistent online presence prompted polarized assumptions—most frequently that he/she was asocial, deceptive, or technologically inept. Findings from this activity can inform business educators and help students develop a sharper awareness of how employers might weigh the online profiles of job candidates.     

Measuring Potential GSE Funding Advantages

As the size of government sponsored enterprises (GSE) has grown, attention has focused on the relationship between the federal government and the GSEs, with particular attention focused on estimating the impact of this relationship on GSE debt costs. Quantifying the GSEs cost advantage is a controversial exercise with several competing methodologies providing divergent values. Thus, this paper reviews the methods that have been utilized in previous studies and recommends an alternative approach that overcomes many of the criticisms of previous work. By using offering yields on GSE debt, we find that the three housing GSEs enjoyed an average advantage of between 25 and 29 basis points over AA banking sector bonds, between 43 and 47 basis points over A rated bonds, and between 76 and 80 basis points over BBB rated banking issues. We find that our results are robust to both the basic approach taken as well as to model specification.     

Does Regulatory Capital Arbitrage, Reputation, or Asymmetric Information Drive Securitization?

Banks can choose to keep loans on balance sheet as private debt or transform them into public debt via asset securitization. Securitization transfers credit and interest rate risk, increases liquidity, augments fee income, and improves capital ratios. Yet many lenders still retain a portion of their loans in portfolio. Do lenders exploit asymmetric information to sell riskier loans into the public markets or retain riskier loans in portfolio? If riskier loans are indeed retained in portfolio, is this motivated by regulatory capital incentives (regulatory capital arbitrage), or a concern for reputation? We examine these questions empirically and find that securitized mortgage loans have experienced lower ex-post defaults than those retained in portfolio, providing evidence consistent with either the capital arbitrage or reputation explanation for securitization.     

Bank and Nonbank Lenders and the Commercial Mortgage Market

This paper develops an equilibrium model of the commercial mortgage market that includes the sequence from commitment to origination and allows testing for differences by type of lender. From borrowers, loan demand is based on the income yield, capital gains, and expectations about return distributions. Lenders use prices such as mortgage rates and their distributions, and quantities in underwriting standards. There are separate equilibria in the markets for loan commitments and originations. Bank and nonbank lenders are not restricted to the same lending technology, nor to the weights placed on mortgage rates as opposed to underwriting standards. Empirical results for the United States commercial mortgage market indicate that banks use interest rates in allocating credit while nonbanks rely on underwriting standards, notably the loan-to-value ratio. A consequence is that nonbanks have a clientele incentive towards making low cap rate loans compensated by low loan-to-value ratios.     

Vertical Inequity in Property Taxation: A Neighborhood Based Analysis

This paper applies a model to test for vertical inequity in property taxes using a set of residential sales from Bloomington, Indiana. The initial purpose is to compare results with those using the presently accepted regression approach as applied by Smith, B. C. (2000). (See Journal of Real Estate Research 19(3), 321–344, to the same data.) The new outcomes demonstrate there can be significant inequity in a jurisdiction that remains hidden under previous testing methods. Also, the new procedure generates multipliers to adjust for identified inequities. Findings imply that tests for value-related inequity in property tax assessment should be conducted using multiple spatial scales.     

The Subprime Virus

We examine the correlation between prime mortgage default risk and the introduction of subprime mortgages in a local area. We motivate our analysis with a model of a default contagion effect that spreads the effect of a mortgage foreclosure from one property to surrounding properties. Through numerical analysis, we demonstrate the effect of subprime mortgage originations to the risk of prime mortgages. Finally, we offer empirical support for our model by examining the spatial variation in MSA prime mortgage default rates and the level of subprime mortgage activity.     

Forced Development and Urban Land Prices

This paper examines the distortions in property markets resulting from government actions to alleviate externalities associated with vacant lots. Using an equilibrium based real option model, the analysis indicates that announcement of a program of forced development may actually delay market-based development. By incorporating externalities associated with vacant lots into the model, the analysis indicates that owners of neighboring developed property benefit suggesting such programs will be politically popular.     

Credit Risk and the Term Structure of Lease Rates: A Reduced Form Approach

Previous research either assumes default free leases or leases subject to default risk using a structural approach. However, structural credit risk models suffer from a common criticism that the firm’s asset value process is unobservable. We develop a reduced form credit risk model for leases that avoids making assumptions regarding unobservable asset valuation processes. Furthermore, we assume a correlated market and credit risk that provides us with a simple analytic formula for valuing defaultable lease contracts. Numerical analysis reveals that tenant credit risk can have a substantial impact on the term structure of leases. Finally, we use the model to demonstrate the implied lease term structure for a set of retail and financial firms in the Fall of 2000.

Servicers and Mortgage‐Backed Securities Default: Theory and Evidence

We study conflicting incentives of the master and special servicers in handling troubled loans in a Commercial Mortgage‐Backed Securities deal and how the frictions between the interests of the two servicers might be diminished if the master and special servicing rights are held by the same firm. We show that concentrating both servicing rights in one firm reduces the likelihood that a defaulted loan terminates in foreclosure.