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Sagot :
The answer is Statistical Arbitrage.
Statistical arbitrage is a computationally intensive approach to algorithmically trading financial market assets such as equities and commodities.
It is also called Stat Arb.
In other words, Statistical arbitrage is a group of trading strategies employing large, diverse portfolios that are traded on a very short-term basis.
Hedge funds, mutual funds, and proprietary trading firms build, test, and implement trading strategies based on statistical arbitrage.
It is known as a deeply quantitative, analytical approach to trading, stat arb aims to reduce exposure to beta as much as possible. Where beta is market risk.
Hence, Statistical Arbitrage uses quantitative techniques, and often automated trading systems, to seek out many temporary misalignments among securities.
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