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Moving Average Timing Strategy from a Volatility Perspective: Evidence of the Taiwan Stock Market

机译:从波动性的角度来看平均时序策略:台湾股市的证据

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摘要

We apply the approach of [5] by examining whether the portfolios based on the trend-following strategy delivers abnormal returns. Sorted by volatility in previous year, portfolios are traded by following moving average timing strategy to examine their investment performance within the sample period from 1996-2011 for companies listed in the Taiwan stock market. We find that the moving average timing strategy outperforms the buy-and-hold strategy. The CAPM and the Fama-French three-factor models can explain the abnormal returns of the moving average timing strategy. Furthermore, the performance 10-day moving average timing strategy outperforms other timing strategies based on 20-, 50-, 100-and 200-day moving average across volatility quintiles. That means higher volatility quintile portfolios with 10-day moving average timing strategy tend to have better performance than those portfolios with longer days of moving average timing strategy.
机译:我们通过检查基于趋势后策略的投资组合是否提供异常回报来应用[5]的方法。 在上一年的波动中排序,投资组合通过遵循移动平均时序策略来审查其在台湾股市上市的公司的示例期内的投资业绩。 我们发现移动平均时序策略优于买入和保持策略。 CAPM和FAMA-FREAM三因素模型可以解释移动平均时序策略的异常回报。 此外,性能10日移动平均时序策略基于横跨波动素型的20-,50,100和200日移动平均线性优于其他定时策略。 这意味着具有10天移动平均时序策略的较高的波动速度投资组合往往比移动平均时序策略较长的积分比这些组合更好的性能。

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