Estimating downside risk in stock returns under structural breaks

Matthew Hood, Farooq Malik

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


We show with simulations that inducing structural breaks in the volatility of returns causes non-normality by significantly increasing kurtosis. We endogenously detect significant structural breaks in the volatility of US stock returns and incorporate this information to estimate Value-at-Risk (VaR) to measure the downside risk. Out-of-sample performance results indicate that our proposed model, which incorporates both time varying volatility and structural breaks in volatility, produces more accurate VaR forecasts than several benchmark methods. We highlight the economic importance of our results by calculating the daily capital charges using the Basel Accords.

Original languageEnglish (US)
Pages (from-to)102-112
Number of pages11
JournalInternational Review of Economics and Finance
StatePublished - Nov 2018
Externally publishedYes


  • Structural breaks
  • Volatility

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics


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