Moore's Law versus Murphy's Law: Algorithmic Trading and Its Discontents
Financial markets have undergone a remarkable transformation over the past two decades due to advances in technology. These advances include faster and cheaper computers, greater connectivity among market participants, and perhaps most important of all, more sophisticated trading algorithms. The benefits of such financial technology are evident: lower transactions costs, faster executions, and greater volume of trades. However, like any technology, trading technology has unintended consequences. In this paper, we review key innovations in trading technology starting with portfolio optimization in the 1950s and ending with high-frequency trading in the late 2000s, as well as opportunities, challenges, and economic incentives that accompanied these developments. We also discuss potential threats to financial stability created or facilitated by algorithmic trading and propose "Financial Regulation 2.0," a set of design principles for bringing the current financial regulatory framework into the Digital Age.
Volume (Year): 27 (2013)
Issue (Month): 2 (Spring)
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- Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011.
"Does Algorithmic Trading Improve Liquidity?,"
Journal of Finance,
American Finance Association, vol. 66(1), pages 1-33, 02.
- Hendershott, Terrence & Jones, Charles M. & Menkveld, Albert J., 2008. "Does algorithmic trading improve liquidity?," CFS Working Paper Series 2008/41, Center for Financial Studies (CFS).
- Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
- Lo, Andrew W. (Andrew Wen-Chuan) & MacKinlay, Archie Craig, 1955-., 1989. "When are contrarian profits due to stock market overreaction?," Working papers 3008-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Andrew W. Lo & A. Craig MacKinlay, 1989. "When are Contrarian Profits Due to Stock Market Overreaction?," NBER Working Papers 2977, National Bureau of Economic Research, Inc.
- Umlauf, Steven R., 1993. "Transaction taxes and the behavior of the Swedish stock market," Journal of Financial Economics, Elsevier, vol. 33(2), pages 227-240, April.
- Gorton, Gary & Metrick, Andrew, 2012. "Securitized banking and the run on repo," Journal of Financial Economics, Elsevier, vol. 104(3), pages 425-451.
- Gary Gorton & Andrew Metrick, 2010. "Securitized Banking and the Run on Repo," NBER Chapters, in: Market Institutions and Financial Market Risk National Bureau of Economic Research, Inc.
- Gary Gorton & Andrew Metrick, 2009. "Securitized Banking and the Run on Repo," Yale School of Management Working Papers amz2358, Yale School of Management, revised 01 Sep 2009.
- Gary B. Gorton & Andrew Metrick, 2009. "Securitized Banking and the Run on Repo," NBER Working Papers 15223, National Bureau of Economic Research, Inc.
- Rosenberg, Barr, 1974. "Extra-Market Components of Covariance in Security Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 9(02), pages 263-274, March. Full references (including those not matched with items on IDEAS)