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Explaining future market return and evaluating market condition with common preferred spread index

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  • Lee, Changju
  • Ku, Seungmo
  • Cho, Poongjin
  • Chang, Woojin

Abstract

We build CPS-index (Common Preferred Spread Index) using the spread return between common and preferred stock pairs, and show that CPS-index has explanatory power for long term market return. Common stocks are more sensitive to the market condition than preferred stocks so that CPS-index tends to oscillate according to market condition. We observe that the future realized market return becomes high when CPS-index is low and vice versa. There is an inverse relationship between CPS-index and the future market return of S&P500 index. The statistical analysis of the regression between CPS-index and future market return shows that CPS-index has a significant power to explain the future realized market return in 21 months or up to 48 months ahead of time. Multivariate regression analysis confirms that the inclusion of CPS-index as an explanatory variable enhances the market predictability. We apply neural network to predict the future market return and observe that CPS-index provides better prediction results in any time horizon longer than twenty seven months.

Suggested Citation

  • Lee, Changju & Ku, Seungmo & Cho, Poongjin & Chang, Woojin, 2019. "Explaining future market return and evaluating market condition with common preferred spread index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 921-934.
    • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:921-934
    DOI: 10.1016/j.physa.2019.03.075
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