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Articles 1 - 4 of 4
Full-Text Articles in Business
Regulating Compensation, A. Christine Hurt
Out Of The Black Hole: Regulatory Reform Of The Over-The-Counter Derivatives Market, Michael Greenberger
Out Of The Black Hole: Regulatory Reform Of The Over-The-Counter Derivatives Market, Michael Greenberger
Faculty Scholarship
Unregulated OTC derivatives have been at the heart of recent systemic or near systemic collapses. After each financial crisis, governments worldwide proclaim that the OTC market has to be regulated for transparency, capital adequacy, regulation of intermediaries, self regulation, and strong enforcement of fraud and manipulation. But, aided by the passage of time, Wall Street always deflates those aspirations with aggressive lobbying. The present financial reform regulatory effort may be the only chance to get this issue right before the country devolves into a further financial quagmire with more bankruptcies and more job losses. This paper is a chapter of …
Did We Tame The Beast: Views On The Us Financial Reform Bill, Lawrence G. Baxter
Did We Tame The Beast: Views On The Us Financial Reform Bill, Lawrence G. Baxter
Faculty Scholarship
Prof. Lawrence Baxter takes a microscope to the ‘Dodd-Frank’ Bill (Dodd-Frank Wall Street Reform and Consumer Protection Act, H.R. 4173) finding a veritable ’Micrographia’ of doubt. The Bill was devised to address problems associated with the global financial crisis of 2007-2009. This paper was written in anticipation of the US Financial Reform Bill’s passage through Congress. The legislation has since been enacted as Public Law No. 111-203, signed by President Obama on July 21, 2010.
Could Decision Trees Help Improve Farm Service Agency Lending Decisions?, Benjamin P. Foster, Jozef Zurada, Douglas K. Barney
Could Decision Trees Help Improve Farm Service Agency Lending Decisions?, Benjamin P. Foster, Jozef Zurada, Douglas K. Barney
Faculty Scholarship
This study examines whether a statistically derived decision tree could serve as a means to improve U.S.A. Farm Service Agency lending decisions. The study is a substantial extension and reanalysis of an earlier work by Barney, Graves and Johnson, (1999). Results indicate that a decision tree could be a valuable tool for Farm Service Agency employees in their lending decisions. The decision tree provides as good or better predictive accuracy than neural networks and logistic regression models at reasonable cutoff levels of Type II to Type I costs of lending. The decision tree also meets the transparency criteria for Farm …