收益风险序列测度的实际应用

A. Clare, S. Glover, James Seaton, Peter N. Smith, Stephen H. Thomas
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摘要

在《退休杂志》2020年夏季刊的《衡量回报风险序列》中,作者安德鲁·克莱尔(卡斯商学院)、西蒙·格洛弗(ITI集团)、詹姆斯·西顿(索伦特系统投资策略公司)、彼得·史密斯(约克大学)和斯蒂芬·托马斯(卡斯商学院)证明,投资回报的时间——而不仅仅是数量——对投资者的退休收入前景至关重要。临近退休日期的重大损失比在退休前或退休后发生的损失更具破坏性。像目标日期基金(tdf)这样的流行投资工具并没有防范序列风险,因此投资者需要一种不同的策略。作者发现,简单的股票/债券资产配置结合股票部分的趋势跟踪策略(根据当前市场趋势在股票和政府债券之间转换资产)大大降低了序列风险,并最大限度地减少了退休人员耗尽资金或每年需要从储蓄中提取较少资金的可能性。作者还提供了一些方法来衡量不同的投资策略对序列风险的保护程度。主题:波动性度量,仅限下行度量,性能度量
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Practical Applications of Measuring Sequence of Returns Risk
In Measuring Sequence of Returns Risk from the Summer 2020 issue of The Journal of Retirement, authors Andrew Clare (of Cass Business School), Simon Glover (of ITI Group), James Seaton (of Solent Systematic Investment Strategies), Peter Smith (of the University of York), and Stephen Thomas(of Cass Business School) demonstrate that the timing–not just the amount–of investment returns can be vitally important to investors’ retirement income prospects. Major losses right around one’s retirement date are much more damaging than those that happen long before or after retirement. Popular investment vehicles like target-date funds (TDFs) have not protected against sequence risk, so investors need a different strategy. The authors find that a simple stock/bond asset allocation combined with a trend-following strategy for the stock portion (switching assets between stocks and government bonds, based on current market trends) greatly reduces sequence risk and minimizes the chances that retirees will run out of money or need to withdraw less from savings each year. The authors also offer ways to measure how well different investment strategies protect against sequence risk. TOPICS: Volatility measures, downside-only measures, performance measurement
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