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....

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Published inJournal of trading Vol. 11; no. 2; pp. 5 - 10
Main Authors Mozes, Haim A., Steffens, John Launny
Format Journal Article
LanguageEnglish
Published New York Pageant Media 01.04.2016
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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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Cites_doi 10.21314/JOR.2012.237
10.1023/B:RAST.0000028186.44328.3f
10.1016/j.jfineco.2010.02.009
10.1111/j.1540-6261.2008.01393.x
10.1016/j.jbankfin.2013.08.005
10.1108/03074359810765570
10.3905/jpm.1996.409572
10.1257/000282803322157188
10.1257/.41.2.478
10.1002/jae.800
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References Baik B. (bib2) 2006; 35
Brownlees C. (bib3) 2011; 14
bib14
bib13
bib10
bib9
Ali A. (bib1) 1990; 67
bib7
bib8
bib5
bib6
bib4
Mozes H. (bib12)
Hwang L. (bib11) 1996; 1
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  issue: 2
  year: 2011
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  publication-title: Journal of Risk
  doi: 10.21314/JOR.2012.237
  contributor:
    fullname: Brownlees C.
– ident: bib8
  doi: 10.1023/B:RAST.0000028186.44328.3f
– ident: bib5
  doi: 10.1016/j.jfineco.2010.02.009
– ident: bib13
  doi: 10.1111/j.1540-6261.2008.01393.x
– volume: 35
  start-page: 141
  issue: 6
  year: 2006
  ident: bib2
  publication-title: Asia-Pacific Journal of Financial Studies
  contributor:
    fullname: Baik B.
– ident: bib6
  doi: 10.1016/j.jbankfin.2013.08.005
– ident: bib7
  doi: 10.1108/03074359810765570
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  doi: 10.3905/jpm.1996.409572
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  doi: 10.1257/000282803322157188
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  doi: 10.1257/.41.2.478
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  year: 1990
  ident: bib1
  publication-title: Accounting Review
  contributor:
    fullname: Ali A.
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  doi: 10.1002/jae.800
– volume: 1
  start-page: 18
  issue: 1
  year: 1996
  ident: bib11
  publication-title: Journal of Financial Statement Analysis
  contributor:
    fullname: Hwang L.
– ident: bib12
  publication-title: The Journal of Investing
  contributor:
    fullname: Mozes H.
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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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SubjectTerms Bankruptcy
Earnings per share
Equity
Interest rates
Stock prices
Treasury bills
Valuation
Variables
Volatility
Title Using Fundamental Earnings Factors to Forecast Equity Market Volatility
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