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首页> 外文期刊>Journal of Mathematical Finance >Smart Beta Portfolio Optimization
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Smart Beta Portfolio Optimization

机译:智能Beta产品组合优化

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Traditionally, portfolio managers have been discouraged from timing the market, for example, equity managers have been forced to adhere strictly to a benchmark with static or relatively stable components, such as the S&P 500 or the Russell 3000. This means that the portfolio’s exposures to all risk factors should mimic as closely as the corresponding exposures of the benchmark. The main risk factor, of course, is the market itself. Effectively, a long-only portfolio would be constrained to have a beta of 1. More recently, however, managers have been given greater discretion to adjust their portfolio’s risk exposures (especially, the beta of their portfolio) dynamically to match the manager’s beliefs about future performance of the risk factors themselves. This freedom translates into the manager’s ability to adjust the portfolio’s beta dynamically. These strategies have come to be known as smart beta strategies. Adjusting beta dynamically amounts to attempting to “time” the market; that is, to increase exposure when one anticipates that the market will rise, and to decrease it when one anticipates that the market will fall.
机译:传统上,不鼓励投资组合经理选择时机,例如,股票经理被迫严格遵循包含静态或相对稳定组件(例如S&P 500或Russell 3000)的基准。这意味着投资组合的风险敞口所有风险因素都应与基准的相应风险敞口尽可能相似。当然,主要风险因素是市场本身。实际上,一个多头投资组合的贝塔系数应被限制为1。但是,最近,经理们被赋予了更大的酌处权,可以动态地调整其投资组合的风险敞口(尤其是其投资组合的贝塔系数),以与经理的信念保持一致。风险因素本身的未来表现。这种自由意味着经理可以动态调整投资组合的beta。这些策略已被称为智能Beta策略。动态调整贝塔值等于试图“计时”市场;也就是说,当人们预期市场将上升时增加风险敞口,而当人们预期市场将下降时减少风险敞口。

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