Statistical arbitrage is a strategy used in finance to make money by identifying and exploiting pricing imperfections in the market. It involves using statistical models and analysis techniques to find discrepancies in the prices of related securities. Traders then take advantage of these discrepancies by buying undervalued securities and selling overvalued ones. The aim is to profit from the price adjustments that occur when the market corrects itself.
Full definition
• White Oak Equity Partners acquired a minority interest in Blueshift Asset Management, a Red Bank, N.J. - based quantitative investment firm focused
on statistical arbitrage and high - frequency trading strategies.
If iShares ETFs lagged on a risk adjusted basis, then there would be arbitrage (or as I said, at
least statistical arbitrage) and countless ways to make money.
Strategies adopted in a multi-strategy fund may include, but are not limited to, convertible bond arbitrage, equity long / short,
statistical arbitrage and merger arbitrage.
They also investigate
a statistical arbitrage (pair trading) strategy exploiting a regression - based prediction of the trend in the gap between VIX and VSTOXX during the last six months of 2012.
The most prevalent in the managed futures industry is
statistical arbitrage.
[Traders use a variety of different strategies to generate alpha in their portfolios, ranging from value investing to
statistical arbitrage.
The leveraged, inverse, and commodity groups of exchange - traded funds have become very popular products for use in
the statistical arbitrage and investing communities.
Statistical arbitrage, gamma scalping and volatility arbitrage — few people know about these obscenely lucrative hedge fund strategies, but they aren't as complex as they sound.