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 inJournal of Trading Vol. 13; no. 4; pp. 14 - 19
Main Authors Mozes, Haim A., Steffens, John Launny
Format Journal Article Trade Publication Article
LanguageEnglish
Published New York Pageant Media 01.09.2018
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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.
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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Snippet This article introduces a model for forecasting future volatility using fundamental factors, including the extent to which the market’s valuation deviates from...
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StartPage 14
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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