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The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis

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  • Wei Yanfeng

    (Graduate School of Social Sciences, Hiroshima University, JAPAN)

Abstract

This paper investigates the dynamic relationships between oil prices and the Japanese economy from a frequency domain perspective. Both the frequency domain causality test of Breitung and Candelon (2006) and the frequency dependent regression method developed by Ashley and Verbrugge (2009) are deployed in this research. The frequency dependent regression analysis indicates that nonlinear relationships exist between oil prices and the variables such as industrial production and consumer price index at the low frequencies, while the nonlinear associations at the high frequencies are merely detected between oil prices and unemployment rates. The results of the frequency domain causality tests suggest that oil prices have significant predictive power for industrial production, consumer price index and unemployment rates at the low frequencies. In addition, oil prices can predict industrial production and unemployment rates at some higher frequencies.

Suggested Citation

  • Wei Yanfeng, 2013. "The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 57-67, May.
    • Handle: RePEc:bap:journl:130205
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    References listed on IDEAS

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    Cited by:

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    2. Dervis Kirikkaleli & Fusun Celebi Boz & Melike Torun, 2024. "Do Economic and Financial Stabilities Matter for Political Stability in Estonia?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15202-15217, September.
    3. Cleiton Guollo Taufemback, 2023. "Asymptotic Behavior of Temporal Aggregation in Mixed‐Frequency Datasets," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 894-909, August.
    4. Ciner, Cetin, 2015. "Are equities good inflation hedges? A frequency domain perspective," Review of Financial Economics, Elsevier, vol. 24(C), pages 12-17.
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    6. Saffet Akdağ & İlker Kiliç & Hakan Yildirim, 2019. "Does VIX scare stocks of tourism companies?," Letters in Spatial and Resource Sciences, Springer, vol. 12(3), pages 215-232, December.
    7. Saffet AKDAĞ & Ali DERAN & Ömer İSKENDEROĞLU, 2020. "Is PMI a Leading Indicator: Case of TurkeyAbstract: In this study, the causal relationships of the Purchasing Managers Index (PMI) with various financial factors are examined. As a result of the analy," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
    8. Cetin Ciner, 2015. "Are equities good inflation hedges? A frequency domain perspective," Review of Financial Economics, John Wiley & Sons, vol. 24(1), pages 12-17, January.
    9. İskenderoglu Ömer & Akdag Saffet, 2020. "Comparison of the Effect of Vix Fear Index on Stock Exchange Indices of Developed and Developing Countries: the G20 Case," South East European Journal of Economics and Business, Sciendo, vol. 15(1), pages 105-121, June.

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    More about this item

    Keywords

    Oil price; Frequency dependent regression; Frequency domain causality;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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