July 1st, 2009, 8:47 pm
I got curious when I read your post. From the CMU website:------------46-936 Statistical ArbitrageThis course intends to provide students with concepts and techniques for statistically and econometrically based trading. The course begins with the general principles of arbitrage pricing theory and the statistical nature of the price and volatility fluctuations in financial markets. It introduces the ideas of market neutral strategies, and provides the statistical techniques required for identifying and exploiting pricing inefficiencies. Various statistical strategies will be covered, including pairs trading, cointegration-based trading, data mining, as well as strategies using the information from derivatives markets. We will demonstrate how to search for arbitrage strategies based on intra-day patterns, long-term patterns, multi-equity relationships. At the end we stress that statistical arbitrage is not riskless, and we discuss how to assess the risk, arising from model misspecification and inappropriate estimation. The topics covered are particularly relevant for proprietary trading, such as in the context of hedge funds. ------------and my guess is that they will cover maths that they feel might be useful for stat arb. they don't know real stat arb, else they won't have mentioned cointegration (which is so passe).