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Long-term equity anticipation securities and stock market volatility dynamics

机译:长期股权预测证券和股市波动动态

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摘要

Recent empirical findings suggest that the long-run dependence in U.S. stock market volatility is best described by a slowly mean-reverting fractionally integrated process. The present study complements this existing time-series-based evidence by comparing the risk-neutralized option pricing distributions from various ARCH-type formulations. Utilizing a panel data set consisting of newly created exchange traded long-term equity anticipation securities, or leaps, on the Standard and Poor's 500 stock market index with maturity times ranging up to three years, we find that the degree of mean reversion in the volatility process implicit in these prices is best described by a Fractionally Integrated EGARCH (FIEGARCH) model.
机译:最近的经验发现表明,美国股市波动的长期依赖性最好用缓慢均值回复的分数集成过程来描述。本研究通过比较来自各种ARCH型公式的风险中和的期权定价分布,对现有的基于时间序列的证据进行了补充。利用由新创建的交易所交易的长期股票预期证券组成的面板数据集,或者说跃升,在标准普尔500股市指数上的到期时间长达三年,我们发现波动率的均值回复程度这些价格中隐含的过程最好用分数集成EGARCH(FIEGARCH)模型来描述。

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