This guest post is contributed by Ricardo Fernholz, a professor of economics at Claremont McKenna College. Some of his other work was profiled on this blog here.
The rise of high-frequency trading (HFT) in the U.S. and around the world has been rapid and well-documented in the media. According to a report by the Bank of England, by 2010 HFT accounted for 70% of all trading volume in US equities and 30-40% of all trading volume in European equities. This rapid rise in volume has been accompanied by extraordinary performance among some prominent hedge funds that use these trading techniques. A 2010 report from Barron’s, for example, estimates that Renaissance Technology’s Medallion hedge fund – a quantitative HFT fund – achieved a 62.8% annual compound return in the three years prior to the report.
Despite the growing presence of HFT, little is known about how such trading strategies work and why some appear to consistently achieve high returns. The purpose of this post is to shed some light on these questions and discuss some of the possible implications of the rapid spread of HFT. Although much attention has been given to the potentially destabilizing effects of HFT, the focus here instead is on the basic theory behind such strategies and their implications for the efficiency of markets. How are some HFT funds such as Medallion apparently able to consistently achieve high returns? It is natural to suspect that such excellent performance is perhaps an anomaly or simply the result of taking significant risks that are somehow hidden or obscured. Indeed, this is surely the case sometimes. However, it turns out that there are good reasons to believe that many HFT strategies are in fact able to consistently earn these high returns without being exposed to major risks.


Financial Safety and Fire Safety
This guest post was contributed by engineer27, a longtime reader of and frequent commenter on this blog. (I had exams this past week, which is why I haven’t posted in a while.)
This Thursday, the Senate added two amendments to the Financial Regulation in process that deal with Nationally Recognized Statistical Rating Agencies (NRSROs), which are blamed for being a factor in the financial crisis of 2008. The most widely cited problem with the NRSROs is the inherent conflict of interest which resides in the “issuer pays” model currently in use. However, even supporters of doing something are stymied when trying to envision a workable solution. The two (perhaps contradictory) amendments each try to implement a proposed solution that runs into some of the critiques. The Franken amendment has rating agencies assigned to debt issues by a neutral arbiter; critics maintain that lack of competition may reduce the quality of analysis. The LeMieux amendment removes legal mandates to obtain a NRSRO rating and the preferential treatment those issues currently receive. However, it leaves out details about whose advice agencies and public trusts should seek out instead.
This is not such a difficult problem. We already have an example of a successful private rating agency, whose imprimatur is desired or in some cases required by law, that is paid for by fees on the seller, and has been operating since 1894: Underwriters Laboratory. The UL publishes safety standards for almost 20,000 different types of products, many of which are adopted by other standard-setting organizations like ANSI (American National Standards Institute) and Canada’s IRC (Institute for Research In Construction). Although generally not actually required by federal law, the sale of many types of products in the US would be difficult without UL listing. Also, many local jurisdictions responsible for building and fire codes mandate the use of UL approved products. In all cases, the manufacturer must submit samples and pay fees to UL in order to win approval.
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Tagged financial regulation, rating agencies