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A multi-factor predictive model for oil-US stock nexus with persistence, endogeneity and conditional heteroscedasticity effects

Author

Listed:
  • Afees A. Salisu

    () (Centre for Econometric and Allied Research, University of Ibadan)

  • Raymond Swaray

    () (Economics Subject Group, University of Hull Business, University of Hull, Cottingham Road, UK)

  • Tirimisyu F. Oloko

    () (Centre for Econometric and Allied Research, University of Ibadan)

Abstract

In this study, we extend the single-predictor model for US stock market developed by Narayan and Gupta (2014) to capture more important predictors of the market. Our analyses are conducted in three distinct ways. First, we test whether oil price will produce better forecast accuracy in the multiple-factor model than in the single-factor model. Secondly, we also test the plausibility of making generalization about the predictive model for oil-US stocks on the basis of large cap stocks. Thirdly, we employ the recently developed Feasible Quasi Generalized Least Squares (FQGLS) estimator by Westerlund and Narayan (2014) in order to capture the inherent persistence, endogeneity and heteroscedasticity effects in the predictors. Our results reveal that oil price renders better forecast performance in the multiple-factor predictive model than in the single-factor variants for both in-sample and out-of-sample forecasts. Also, we find that generalizing the predictability of oil-US stock market with large cap may lead to misleading inferences. In addition, it may be necessary to pre-test the predictors for persistence, endogeneity and conditional heteroscedasticity particularly when modeling with high frequency series. Our results are robust to different forecast measures and forecast horizons.

Suggested Citation

  • Afees A. Salisu & Raymond Swaray & Tirimisyu F. Oloko, 2017. "A multi-factor predictive model for oil-US stock nexus with persistence, endogeneity and conditional heteroscedasticity effects," Working Papers 024, Centre for Econometric and Allied Research, University of Ibadan.
  • Handle: RePEc:cui:wpaper:0024
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    References listed on IDEAS

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    Cited by:

    1. Afees A. Salisu & Umar B. Ndako, 2017. "A new look at the stock price-exchange rate nexus," Working Papers 031, Centre for Econometric and Allied Research, University of Ibadan.
    2. Afees A. Salisu & Oluwatomisinn Oyewole & Ismail O. Fasanya, 2017. "Modelling Return and Volatility Spillovers in Global Foreign Exchange Markets," Working Papers 030, Centre for Econometric and Allied Research, University of Ibadan.

    More about this item

    Keywords

    WTI Oil price; US large cap; US Small cap; Inflation; Output; Forecast evaluation;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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