By Xinfeng Zhou
Lively fairness administration presents a complete realizing of technical, primary, and financial signs utilized in equities buying and selling. It explores intimately how such signs could be created, conscientiously demonstrated and effectively carried out. packed with practitioner insights derived from years of expertise within the hedge fund undefined, and supported with educational conception, energetic fairness administration offers an in-depth evaluate of uncomplicated monetary options, examines information resources helpful for equities buying and selling, and delves into well known seasonal results and marketplace symptoms. It additionally highlights top practices in version improvement, portfolio development, danger administration, and execution. In combining topical considering with the most recent tendencies, learn, and quantitative frameworks, energetic fairness administration can help either the amateur and the veteran practitioner comprehend the intriguing international of equities buying and selling.
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Additional info for Active Equity Management
Equity hedge funds short individual stocks or indices to hedge market/industry exposure as well as harvest the negative alpha of individual stocks. Most active mutual funds do not use leverage while equity hedge funds routinely use leverage to boost total expected returns. They hedge unwanted risks, which reduces the total risk of the portfolio allowing for the employment of greater leverage. Most active mutual funds do not trade in derivatives. Equity hedge funds have the flexibility to use derivatives to hedge tail risks or to leverage their bets.
They often have more diversified portfolios and actively limit the maximum weight of individual stocks to manage risk. Since systematic quantitative analysis can be applied to all the stocks in the investment universe, it is a simple task to estimate the forecasted returns of thousands of stocks. The accuracy of the forecast in each stock, however, tends to be lower. Portfolio optimization is often used to control risk exposures and to address the uncertainty in forecasts. It is for this reason quantitative portfolio managers tend to hold more stocks in their portfolios, often as high as several hundred.
Although extreme and unreasonable data points are easy to detect and correct, we need to be more careful when we deal with outliers. 27% of all data points in a normal distribution. Nevertheless, such an approach to identify outliers does not apply 54 to most of the financial data since most of the financial data do not follow normal distributions. Instead, financial data tend to have fat tails. Although the daily standard deviation of stock returns is usually less than 4%, it’s not unusual for a stock’s price to rise more than 20% (five standard deviations) because of good news; it is also not unusual for a stock’s price to drop more than 20% because of bad news.