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To engage in volatility arbitrage, a trader must first forecast the underlying's future realized volatility. This is typically done by computing the historical daily returns for the underlying for a given past sample such as 252 days (the typical number of trading days in a year for the US stock market).
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There are two key factors to keep in mind -- quality and price. Imagine buying a home, or a car, or even a pair of shoes. You probably won't just.
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In practice, maintaining a zero delta is very complex because there are risks associated with re-hedging on large movements in the underlying stock's price, and research indicates portfolios tend to have lower cash flows if re-hedged too frequently. [1] Delta hedging may be accomplished by trading underlying securities of the portfolio.
The pairs trade helps to hedge sector- and market-risk. For example, if the whole market crashes, and the two stocks plummet along with it, the trade should result in a gain on the short position and a negating loss on the long position, leaving the profit close to zero in spite of the large move.
Because of the large number of stocks involved, the high portfolio turnover and the fairly small size of the effects one is trying to capture, the strategy is often implemented in an automated fashion and great attention is placed on reducing trading costs. [2] Statistical arbitrage has become a major force at both hedge funds and investment banks.
The $69 billion Millennium Management hedge fund employs a simple yet effective trading strategy to make sure it almost always makes money in the stock market: cut losing stock positions as ...