Regulatory Capital Arbitrage and the Potential Competitive Impact of Basel II in the Market for Residential Mortgages

U.S. banking regulators have proposed a bifurcated system of capital regulation where the largest, internationally active banking organizations would be subject to significantly more risk sensitive regulatory capital requirements than are currently in place, while most others would remain subject to the current rules. The proposed new capital regime has the potential to affect the competitive landscape among banking institutions, particularly in the area of residential mortgage lending. We analyze the potential competitive effects of the proposed, bifurcated regulatory capital system on competition in the residential mortgage market from the perspective of the theory of regulatory capital arbitrage. We then apply the theory and available evidence to perform some benchmark calculations that suggest a significant, potential shift of market share and income to the largest banking institutions in the mortgage market.

Resurrecting Lochner: A Defense of Unprincipled Judicial Activism

Lochner v. New York, 198 U.S. 45 (1905), stands as one of theSupreme Court's most reviled decisions. We challenge the criticalconsensus against Lochner and provide a defense, albeit a contingentdefense, of "unprincipled" judicial activism. To do so, we developa game-theoretic model of judicial–legislative interaction.We use the model to compare outcomes generated in a system oflegislative supremacy to outcomes generated in a system in whichjudicial review is provided by a legally unprincipled, activistjudiciary. We show that judicial review, even when providedby an activist, politicized judiciary, can promote importantconstitutional values and improve legislative quality relativeto a deferential judiciary. In doing so, we identify an important"passive" component to the effect that judicial review has onlegislatures and on legislation. Finally, we demonstrate thatthe addition of other institutions and constraints on judicialbehavior amplify the beneficial effects that judicial reviewprovides to the legislative process.     

Insolvent trading and voluntary administration in Australia: economic winners and losers?

Australian directors who incur debts while their companies are insolvent can be pursued by the corporate regulator for compensation when their companies fail. Under the Australian insolvent trading laws, directors no longer experience ‘true’ limited liability, and as expected, they adjust their behaviour as a result. Identifying director's rational behaviour in an insolvent trading world is difficult as there are no formal economic models of director decision-making under Australian current corporate law. In this paper, we develop such a model primarily for private companies. We incorporate the threat of insolvent trading as well as director's tactical use of voluntary administration to avoid insolvent trading litigation. We show that neither a combination of insolvent trading or voluntary administration can simultaneously ensure creditors-best outcomes, eliminate insolvent trading and reduce director underinvestment.     

Predicting credit card fraud with Sarbanes‐Oxley assessments and Fama‐French risk factors

This research developed and tested machine learning models to predict significant credit card fraud in corporate systems using Sarbanes‐Oxley (SOX) reports, news reports of breaches and Fama‐French risk factors (FF). Exploratory analysis found that SOX information predicted several types of security breaches, with the strongest performance in predicting credit card fraud. A systematic tuning of hyperparamters for a suite of machine learning models, starting with a random forest, an extremely‐randomized forest, a random grid of gradient boosting machines (GBMs), a random grid of deep neural nets, a fixed grid of general linear models where assembled into two trained stacked ensemble models optimized for F1 performance; an ensemble that contained all the models, and an ensemble containing just the best performing model from each algorithm class. Tuned GBMs performed best under all conditions. Without FF, models yielded an AUC of 99.3% and closeness of the training and validation matrices confirm that the model is robust. The most important predictors were firm specific, as would be expected, since control weaknesses vary at the firm level. Audit firm fees were the most important non‐firm‐specific predictors. Adding FF to the model rendered perfect prediction (100%) in the trained confusion matrix and AUC of 99.8%. The most important predictors of credit card fraud were the FF coefficient for the High book‐to‐market ratio Minus Low factor. The second most influential variable was the year of reporting, and third most important was the Fama‐French 3‐factor model R² – together these described most of the variance in credit card fraud occurrence. In all cases the four major SOX specific opinions rendered by auditors and the signed SOX report had little predictive influence.     

Volunteering time decisions: a multi‐factor experimental study

Non‐profit organizations often seek volunteers to help staff a fundraising event. In the present research, an experimental study assessed volunteering time decisions for a fundraising event following manipulations of opportunity cost valence, opportunity cost avoidability and question order involving donating time and donating money. Opportunity costs represent foregone alternatives sacrificed (e.g. working) when engaging in an activity (e.g. volunteering), with valence of the opportunity cost indicating the appeal (positive or negative) of the foregone alternative and avoidability of the opportunity cost suggesting how easy it would be to forgo the alternative. Prospective donors are often asked to consider both volunteering time and contributing money, and these two questions posed to individuals can be varied in terms of order. The results of the experiment revealed that individuals intended to volunteer the most time when an opportunity cost was negative and avoidable. The lowest time donation intentions occurred when an opportunity cost was positive and less avoidable with individuals also being asked about donating money prior to being asked to donate time. The results highlighted the importance to non‐profit firms of considering opportunity costs potential volunteers face and suggested care in structuring the order of questions involving time and money posed to those individuals. Copyright © 2011 John Wiley & Sons, Ltd.     

Finance and growth in Africa: The broken link

While bank liabilities in Sub-Saharan Africa are found to follow (but not lead) economic growth, the link between bank credit and growth is altogether absent.     

An experimental study of blind proficiency tests in forensic science

We conducted a series of sender?Creceiver experiments to study the consequences of implementing a regime of blind proficiency tests in forensic science to reduce error rates and improve the criminal justice system. Senders are our surrogate for forensic laboratories and receivers, for the judge or jury. Our experimental surrogate (random audits with a penalty) for blind proficiency tests reduced sender error rates by as much as 46% depending on the level of experimentally induced bias. When penalties improve information quality, receiver error rates fell by as much as 26% depending on the level of the sender bias. We also find that the penalty must be large relative to the payoff to induce the reduction in errors. Our results suggest that a regime of blind proficiency testing has the potential to reduce forensic science errors.