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Faceless Returns

机译:不露面的回报

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摘要

On a recent Friday afternoon, Andrew Ang sits in a drab conference room on the seventh floor of BlackRocks midtown Manhattan headquarters and seems exasperated by the recent debate raging over "smart beta," the investment craze he has helped spread. It's the practice of training computers to screen broad market-cap-based indexes for "factors" like low P/Es and 12-month price momentum, in an effort to improve returns. The strategy, which is sometimes called "strategic beta," has reached investment-fad status among financial firms, with $620 billion devoted to it in more than 600 exchange-traded products. In just the past 24 hours, Vanguard founder Jack Bogle has railed against it, saying smart beta "makes claims that are beyond its ability to fill." Even smart-beta pioneer Rob Arnott, whose firm's investment strategies are used to manage $179 billion, is now worrying that smart beta could go "horribly wrong."
机译:在最近的一个星期五下午,安德鲁·昂(Andrew Ang)坐在曼哈顿中城贝莱德(BlackRocks)曼哈顿中城总部七楼的一间会议室里,似乎对最近围绕“智能beta”的激烈争论感到愤怒,这是他帮助传播的投资热潮。训练计算机的方法是筛选基于市值的广泛指数,以查找“市盈率”低和12个月价格动能的“因素”,以期提高回报。该策略有时被称为“战略贝塔”,已在金融公司中达到了投资时尚的地位,在600多种交易所交易产品中投入了6,200亿美元。在过去的24小时内,先锋创始人杰克·博格(Jack Bogle)对此表示反对,称智能beta版“提出了超出其能力范围的声明”。即使是智能测试版的先驱罗伯·阿诺特(Rob Arnott),其公司的投资策略通常用于管理1,790亿美元,现在也担心智能测试版可能会“严重错误”。

著录项

  • 来源
    《Forbes》 |2017年第7期|148-152|共5页
  • 作者

    NATHAN VARDI;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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