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Impacts of interval measurement on studies of economic variability

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  • Ling T. He
  • Chenyi Hu

Abstract

Purpose - The purpose of this study is to investigate the impacts of interval measured data, rather than traditional point data, on economic variability studies. Design/methodology/approach - The study uses interval measured data to forecast the variability of future stock market changes. The variability (interval) forecasts are then compared with point data‐based confidence interval forecasts. Findings - Using interval measured data in stock market variability forecasting can significantly increase forecasting accuracy, compared with using traditional point data. Originality/value - An interval forecast for stock prices essentially consists of predicted levels and a predicted variability which can reduce perceived uncertainty or risk embedded in future investments, and therefore, may influence required returns and capital asset prices.

Suggested Citation

  • Ling T. He & Chenyi Hu, 2007. "Impacts of interval measurement on studies of economic variability," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 8(5), pages 489-507, November.
    • Handle: RePEc:eme:jrfpps:15265940710834771
    DOI: 10.1108/15265940710834771
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    Keywords

    Stock markets; Economic forecasting;

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