Jack Manhire
Jack Manhire is the Assistant Dean and Chief of Staff for the School of Innovation and Assistant Vice President for Entrepreneurship and Economic Development at Texas A&M University. He also holds a courtesy appointment at the Bush School for Government & Public Service.
His former positons include Director of Program Development and Senior Lecturer in Law at the Texas A&M University School of Law, National Chair of the Executive Education Program for the Treasury Executive Institute, Chief of Legal Analysis for the IRS Office of Professional Responsibility, Director of Technical Analysis & Guidance for the IRS Taxpayer Advocate Service, and Attorney-Advisor to the IRS National Taxpayer Advocate. Before entering full-time government service, he practiced law privately for over a decade and was Division Chief, Tax Law for the U.S. Coast Guard Auxiliary National Office.
His scholarly work spans multiple disciplines and appears in journals such as the Journal of Mathematical Finance, the University of Pennsylvania Law Review, Acta Physica Polonica A, the Virginia Tax Review, the Iowa Law Review, the Florida Tax Review, the Journal on Policy & Complex Systems, and the Cayman Financial Review. He has also presented at numerous conferences and workshops on topics ranging from legal ethics and implicit bias to theoretical physics and quantitative finance. As a Ph.D. candidate, he was a University Fellow at Yale University where he was an Editor of the Yale Journal of Law & the Humanities, received his J.D. cum laude from Regent University where he was Managing Editor of the Regent University Law Review, and his B.A. magna cum laude from Saint Leo University.
Jack was born in Rahway, New Jersey, and currently lives in College Station, Texas, with his wife and nine children, although older ones are now leaving! He enjoys scotch and cigars with good friends, the intersection of theology and cosmology, anything nautical, and singing really loudly (and slightly off-key) to classic rock on the car radio.
Address: Texas A&M University
School of Innovation
1249 TAMU
College Station, TX 77843-1249
His former positons include Director of Program Development and Senior Lecturer in Law at the Texas A&M University School of Law, National Chair of the Executive Education Program for the Treasury Executive Institute, Chief of Legal Analysis for the IRS Office of Professional Responsibility, Director of Technical Analysis & Guidance for the IRS Taxpayer Advocate Service, and Attorney-Advisor to the IRS National Taxpayer Advocate. Before entering full-time government service, he practiced law privately for over a decade and was Division Chief, Tax Law for the U.S. Coast Guard Auxiliary National Office.
His scholarly work spans multiple disciplines and appears in journals such as the Journal of Mathematical Finance, the University of Pennsylvania Law Review, Acta Physica Polonica A, the Virginia Tax Review, the Iowa Law Review, the Florida Tax Review, the Journal on Policy & Complex Systems, and the Cayman Financial Review. He has also presented at numerous conferences and workshops on topics ranging from legal ethics and implicit bias to theoretical physics and quantitative finance. As a Ph.D. candidate, he was a University Fellow at Yale University where he was an Editor of the Yale Journal of Law & the Humanities, received his J.D. cum laude from Regent University where he was Managing Editor of the Regent University Law Review, and his B.A. magna cum laude from Saint Leo University.
Jack was born in Rahway, New Jersey, and currently lives in College Station, Texas, with his wife and nine children, although older ones are now leaving! He enjoys scotch and cigars with good friends, the intersection of theology and cosmology, anything nautical, and singing really loudly (and slightly off-key) to classic rock on the car radio.
Address: Texas A&M University
School of Innovation
1249 TAMU
College Station, TX 77843-1249
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Papers by Jack Manhire
Yet, it's not meaningful to show merely that extremes exist. If the extreme negative price displacement simply represents a complete market collapse then the assumption becomes trivial. Accordingly, the paper also introduces a method to determine whether price displacements are fixed by non-trivial extremes. This description might have implications for EVT and market risk management in approximating the magnitude of "Black Swan" events. The paper also shows that if one can closely approximate the magnitude of such a rare event, one cannot also predict when the event will occur with any meaningful degree of certainty.
Yet, it's not meaningful to show merely that extremes exist. If the extreme negative price displacement simply represents a complete market collapse then the assumption becomes trivial. Accordingly, the paper also introduces a method to determine whether price displacements are fixed by non-trivial extremes. This description might have implications for EVT and market risk management in approximating the magnitude of "Black Swan" events. The paper also shows that if one can closely approximate the magnitude of such a rare event, one cannot also predict when the event will occur with any meaningful degree of certainty.
This paper begins a conversation about thinking of markets as physical entities with their own laws of price displacement that are consistent with known laws of physical motion. Its thesis is that if one can predict statistical phenomena of a financial asset, such as the probability of the asset experiencing a specific price displacement over a specific time interval, from only the assumption that markets are subject to physical laws, and if the statistical phenomena consistently match historical price data for an asset, then the results suggest that stock markets as systems of information might comply with certain physical laws. We can then, perhaps, feel more secure in concluding that information is indeed physical and other systems of information might also comply with physical laws.
This paper introduces complexity theory—and complexity economics specifically—as an alternative perspective to potentially explain aggregate tax noncompliance at a societal level. Its major premise is that large social systems are more than simply an ordered sum of their parts seeking equilibrium. Instead, social systems are perpetually re-ordering and re-computing themselves in response to the churning mass of novel interactions made by their constituents. The paper’s minor premise is that a collective of taxpayers in any society is subject to the same laws of complex systems, thereby making it almost impossible to model in the traditional, deterministic, equation-based sense. Yet, taxpayer noncompliance is still intelligible if modeled as an iterative process without a single determinant solution. Limitations of complexity theory’s application to taxpayer noncompliance models are also discussed.