We show that any objective risk measurement algorithm mandated by central banks for regulated financial entities will result in more risk being taken on by those financial entities than would otherwise be the case. Furthermore, the risks taken on by the regulated financial entities are far more systemically concentrated than they would have been otherwise, making the entire financial system more fragile. This result leaves three directions for the future of financial regulation: continue regulating by enforcing risk measurement algorithms at the cost of occasional severe crises, regulate more severely and subjectively by fully nationalizing all financial entities, or abolish all central banking regulations including deposit insurance to let risk be determined by the entities themselves and, ultimately, by their depositors through voluntary market transactions rather than by the taxpayers through enforced government participation.
Dr. Philip Z. Maymin is Assistant Professor of Finance and Risk Engineering at NYU-Polytechnic Institute. He is also the founding managing editor of Algorithmic Finance.
He holds a Ph.D. in Finance from the University of Chicago, a Master's in Applied Mathematics from Harvard University, and a Bachelor's in Computer Science from Harvard University. He also holds a J.D. and is an attorney-at-law admitted to practice in California.
He has been a portfolio manager at Long-Term Capital Management, Ellington Management Group, and his own hedge fund, Maymin Capital Management.
He has also been a policy scholar for a free market think tank, a Justice of the Peace, a Congressional candidate, and a columnist for American Banker, the Fairfield County Weekly and LewRockwell.com. He is also an award-winning journalist and the author of Yankee Wake Up, Free Your Inner Yankee, and Yankee Go Home. He was a finalist for the 2010 Bastiat Prize for Online Journalism.
His popular writings have been published in dozens of media outlets ranging from Bloomberg to Forbes to the New York Post to American Banker to regional newspapers, and his research has been profiled in dozens more, including The New York Times, Wall Street Journal, USA Today, Financial Times, Boston Globe, NPR, BBC, Guardian (UK), CNBC, Newsweek Poland, Financial Times Deutschland, and others.
His research on behavioral and algorithmic finance has appeared in Quantitative Finance, North American Journal of Economics and Finance,Journal of Wealth Management, Journal of Applied Finance, and Risk and Decision Analysis, among others, and his textbook Financial Hacking is due to be released by World Scientific in 2012.
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