Annualized Volatility

Andreas Steiner
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Abstract

In this research note, we compare S&P 500 volatility figures calculated with the popular “square-root-n rule” to volatility figures derived from time-aggregated daily returns and try to reconcile the differences with popular time-series models featuring serial correlation in returns or volatilities. We show that the deviations from the square-root-n rule cannot be explained with serial correlation in returns, rather with a GARCH model. We conclude that volatility figures annualized with the square-root-n rule should not be interpreted as accurate estimates for true annual volatility. The square-root-n rule is also not suitable to standardize volatility figures for reporting purposes.
年化波动
在本研究报告中,我们将标准普尔500指数的波动率数据与从时间累计日收益中得出的波动率数据进行了比较,并试图调和与流行的时间序列模型之间的差异,这些模型在收益或波动率方面具有序列相关性。我们表明,偏离平方根n规则不能用收益的序列相关性来解释,而是用GARCH模型来解释。我们得出的结论是,用平方根n规则年化的波动率数字不应被解释为对真实年波动率的准确估计。平方根n规则也不适合用于报告目的的波动性数字标准化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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