Computing equilibria of GEI by relocalization on a Grassmann manifold

An algorithm is described to compute equilibria of the general economic model with incomplete asset markets, that is, of GEI. The algorithm is based on the existence of a route of zeros of a homotopy whose domain includes the price simplex and a Grassmann Manifold. This route is followed, in effect, by localizing and following diffeomorphic pieces in Euclidean space, and by relocalizing as is necessary.     

Hidden risks of hedge accounting in financial institutions: A study of Franklin Savings Association

The hedge accounting standards for financial institutions stipulated in SFAS No. 80 impose ambiguous guidelines whose enforcement can produce detrimental effects on the financial condition of institutions. Combining these standards with the interpretive authority of regulatory agencies can subject institutions to regulatory risk-the risk of an adverse regulatory ruling resulting from disparate interpretations of the accounting standards. The accounting regulations specified in SFAS No. 80 permit financial institutions to defer derivative-contract losses over the life of the underlying asset or liability. If the hedge designation is misused, however, the capital position of the institution may potentially be misstated prior to maturity of the derivative contracts. Further, when a hedging program goes awry, the current hedge accounting standards may actually encourage the shift to what is actually a speculation program by permitting a larger asset base on which to “earn back” a portion of the hedging losses. Thus, institutional programs initially designed to mitigate interest-rate risk can instead become risk-increasing, separate profit centers. Events leading to the RTC conservatorship of Franklin Savings Association are used to illustrate the opportunities and regulatory threats inherent in hedge accounting. Subsequent analysis indicates that similar ordeals could be avoided by a clarification of hedge accounting standards, the consistent application of standards by regulators, or by increasing capital requirements for those institutions that use derivatives as separate profit centers as opposed to hedging risk exposures.     

Statistical inference on regression with spatial dependence

Central limit theorems are developed for instrumental variables estimates of linear and semiparametric partly linear regression models for spatial data. General forms of spatial dependence and heterogeneity in explanatory variables and unobservable disturbances are permitted. We discuss estimation of the variance matrix, including estimates that are robust to disturbance heteroscedasticity and/or dependence. A Monte Carlo study of finite-sample performance is included. In an empirical example, the estimates and robust and non-robust standard errors are computed from Indian regional data, following tests for spatial correlation in disturbances, and nonparametric regression fitting. Some final comments discuss modifications and extensions.     

A study of biotechnology start-ups undergoing leadership change: Antecedents of change and endogenous performance consequences

One of the most important decisions that a new biotechnology firm faces is whether to replace its founding CEO, who often has been involved with the invention of the firm's core technology, with a more professional manager, who has broader commercialization skills to help the firm to grow into a viable business. In this paper, we argue that leadership change away from the founding CEO is influenced strongly by the interests of key stakeholders and that the endogeneity inherent in the change (or non-change) influences firm performance. As the context surrounding decision-making changes from pre-patent to post-IPO, key stakeholders often may not view what is best for the firm and best for self-interest in the same way. Using data on change in leadership at 135 U.S. biotechnology equipment firms, we find evidence that the context in which decisions are being made influences which of the various competing interests will take precedence. The results further confirm the importance of controlling for endogeneity in decision-making when examining firm performance.     

What is a strategic acquisition? Decision modeling in support of foreclosed housing redevelopment

This paper describes and develops a model for calculating location-based strategic values of foreclosed properties considered for acquisition and redevelopment by community development corporations (CDCs). A property’s strategic value refers to its proximity to site-specific neighborhood amenities and disamenities (e.g. schools, public transit, distressed properties), given the relative importance of that proximity to CDC organizational and community objectives. We operationalize the concept of strategic value, and apply this concept to a salient public sector decision problem. Using data and value assessments from a CDC engaged in foreclosed housing redevelopment, we compute measures of strategic value for a set of acquisition candidates. We show that strategic values can differ in systematic ways depending on the types of amenities and disamenities identified as relevant for CDC acquisition decisions, the relative importance assigned to those amenities and disamenities, and the utility maximization objectives of the CDC. We conclude by proposing a multi-criteria decision model for foreclosed housing acquisition and redevelopment which incorporates a theory of residential housing impacts for which strategic value measures are a special case.