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The economic value of volatility timing using a range-based volatility model

机译:使用基于范围的波动率模型的波动时机的经济价值

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摘要

There is growing interest in utilizing the range data of asset prices to study the role of volatility in financial markets. In this paper, a new range-based volatility model was used to examine the economic value of volatility timing in a mean-variance framework. We compared its performance with a return-based dynamic volatility model in both in-sample and out-of-sample volatility timing strategies. For a risk-averse investor, it was shown that the predictable ability captured by the dynamic volatility models is economically significant, and that a range-based volatility model performs better than a return-based one.
机译:人们越来越关注利用资产价格的范围数据来研究波动在金融市场中的作用。在本文中,基于均值-方差框架的新的基于范围的波动率模型用于检验波动时间的经济价值。我们在样本内和样本外波动率定时策略中将其性能与基于收益的动态波动率模型进行了比较。对于规避风险的投资者而言,事实表明,动态波动率模型所捕获的可预测能力在经济上具有重要意义,并且基于范围的波动率模型的表现要优于基于收益率的波动率模型。

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