利用基本盈利因素预测股票市场波动

Haim A. Mozes, John Launny Steffens
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引用次数: 1

摘要

本文介绍了一个使用基本面因素预测未来波动性的模型,这些基本面因素包括市场估值偏离其预测值的程度、负收益公司报告的损失、预计收益增长率和国库券利率。主要结果是,相对于仅由过去波动性实现提供的解释,基本面因素为预测波动性提供了显著的增量解释能力。当VIX指数处于中等水平而非极端水平时,基本面因素的解释力最强,因此不存在波动性长期均值回归的预期。此外,当模型预测VIX上升时,基本面因素的解释力最大。本研究的总体结论是,对未来波动率的预测应纳入基本面因素。
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Using Fundamental Earnings Factors to Forecast Equity Market Volatility
This article introduces a model for forecasting future volatility using fundamental factors, including the extent to which the market’s valuation deviates from its predicted value, the losses reported by companies with negative earnings, projected earnings growth rates, and Treasury bill rates. The main result is that fundamental factors provide significant incremental explanatory power for predicting volatility relative to that provided by past volatility realizations alone. The explanatory power of fundamental factors is greatest when the VIX Index is at moderate rather than extreme levels so there is no expectation of long-term mean reversion for volatility. In addition, the explanatory power of fundamental factors is greatest when the model forecasts an increase in VIX. The overall conclusion of this study is that forecasts of future volatility should incorporate fundamental factors.
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