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The Jolly Ride of International Reserves and Commodity Prices: Evidence from Predictive Models

Author

Listed:
  • Ibrahim D. Raheem

    (School of Economics, University of Kent, Canterbury, UK)

  • Kazeem Isah

    (b Department of Economics, Kogi State University, Anyigba, Nigeria Centre for Econometric and Allied Research, University of Ibadan)

Abstract

This study offers new insight into the dynamics of international reserves (IR). We argue that commodity prices play importance role in the accumulation of IR. We test this hypothesis by specifying a predictive model, in which commodity prices serve as predictors of IR. We essentially examine the extent to which the former predicts the later. Building a dataset for the BRICS nations, we found that a number of interesting results were obtained: first, commodity prices resoundingly predict the level of IR. Second, accounting for asymmetry helps improve the level of predictability.

Suggested Citation

  • Ibrahim D. Raheem & Kazeem Isah, 2019. "The Jolly Ride of International Reserves and Commodity Prices: Evidence from Predictive Models," Working Papers 063, Centre for Econometric and Allied Research, University of Ibadan.
  • Handle: RePEc:cui:wpaper:0063
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    References listed on IDEAS

    as
    1. Cheung, Yin-Wong & Sengupta, Rajeswari, 2011. "Accumulation of reserves and keeping up with the Joneses: The case of LATAM economies," International Review of Economics & Finance, Elsevier, vol. 20(1), pages 19-31, January.
    2. Michael P. Dooley & David Folkerts-Landau & Peter M. Garber, 2005. "An essay on the revived Bretton Woods system," Proceedings, Federal Reserve Bank of San Francisco, issue Feb.
    3. Narayan, Paresh Kumar & Liu, Ruipeng, 2015. "A unit root model for trending time-series energy variables," Energy Economics, Elsevier, vol. 50(C), pages 391-402.
    4. repec:fip:fedgsq:y:2005:i:mar10 is not listed on IDEAS
    5. Lewellen, Jonathan, 2004. "Predicting returns with financial ratios," Journal of Financial Economics, Elsevier, vol. 74(2), pages 209-235, November.
    6. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    7. Narayan, Paresh Kumar & Gupta, Rangan, 2015. "Has oil price predicted stock returns for over a century?," Energy Economics, Elsevier, vol. 48(C), pages 18-23.
    8. Amit Goyal & Ivo Welch, 2003. "Predicting the Equity Premium with Dividend Ratios," Management Science, INFORMS, vol. 49(5), pages 639-654, May.
    9. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Westerlund, Joakim, 2016. "Are Islamic stock returns predictable? A global perspective," Pacific-Basin Finance Journal, Elsevier, vol. 40(PA), pages 210-223.
    10. Diego Bastourre & Jorge Carrera & Javier Ibarlucia, 2009. "What is Driving Reserve Accumulation? A Dynamic Panel Data Approach," Review of International Economics, Wiley Blackwell, vol. 17(4), pages 861-877, September.
    11. Ben S. Bernanke, 2005. "The global saving glut and the U.S. current account deficit," Speech 77, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    International reserves; Commodity prices; Predictive model; and Forecast evaluation;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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