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...
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Published in | Journal of Trading Vol. 13; no. 4; pp. 14 - 19 |
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Main Authors | , |
Format | Journal Article Trade Publication Article |
Language | English |
Published |
New York
Pageant Media
01.09.2018
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Subjects | |
Online Access | Get full text |
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Abstract | 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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AbstractList | 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. |
Author | Mozes, Haim A. Steffens, John Launny |
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SubjectTerms | Bankruptcy Earnings per share Economic models Equity Interest rates Investments Short term Stochastic models Stock market indexes Stock prices Treasury bills Valuation Variables Volatility |
Title | Using Fundamental Earnings Factors to Forecast Equity Market Volatility |
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