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Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India

Author

Listed:
  • Rabeh Khalfaoui

    (ICN Business School)

  • Hemachandra Padhan
  • Aviral Kumar Tiwari

    (Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School)

  • Shawkat Hammoudeh

    (Bennett S. LeBow College of Business - Department of Economics and International Business - Drexel University)

Abstract

This study investigates the multi-scale lead-lag nexuses between money demand and each of real GDP, interest rate, exchange rate, oil prices, inflation-defining CPI for the third largest global oil consumer, India, using the monthly data ranging from 1994 M1 to 2017 M11. A special focus is placed on the effect of changes in oil prices and inflation-defining CPI on money demand. The paper uses the wavelet coherency and the partial wavelet coherency techniques to achieve the goals. The univariate empirical analysis reveals that during the whole sample period, the demand for money, GDP, interest rate, and exchange rate show the same pattern in terms of wavelet power spectra, suggesting weak volatility levels across the time-frequency plane. The bivariate analysis indicates that the partial wavelet coherent empirical results underscore the presence of either a unidirectional or a bidirectional causal relationship between money demand and the underlining oil and macroeconomic variables. In particular, in terms of the wavelet coherency results, money demand exhibits the greatest interdependency with real GDP across the time-frequency domain, underscoring the importance of the transaction demand for money, while it has a much lower interdependency with interest rate, exchange rate and oil prices, giving lower importance to speculative demand for money and monetary stability perhaps due to financial innovations.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Rabeh Khalfaoui & Hemachandra Padhan & Aviral Kumar Tiwari & Shawkat Hammoudeh, 2020. "Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India," Post-Print hal-03797587, HAL.
    • Handle: RePEc:hal:journl:hal-03797587
    DOI: 10.1016/j.resourpol.2020.101743
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    Cited by:

    1. Nusair, Salah A. & Olson, Dennis & Al-Khasawneh, Jamal A., 2024. "Asymmetric effects of economic policy uncertainty on demand for money in developed countries," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    2. Razi, Ummara & Cheong, Calvin W.H. & Shams, Syed & Sarker, Tapan & Sharif, Arshian & Afshan, Sahar, 2025. "Assessing the turbulence: Wavelet coherence and causality analysis of energy price volatility and exchange rate instability," Energy, Elsevier, vol. 331(C).
    3. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
    4. Doğan, Buhari & Trabelsi, Nader & Tiwari, Aviral Kumar & Ghosh, Sudeshna, 2023. "Dynamic dependence and causality between crude oil, green bonds, commodities, geopolitical risks, and policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 36-62.
    5. Chelghoum, Amirouche & Boumimez, Fayçal & Alsamara, Mouyad, 2023. "Asymmetric effects of oil price shocks on the demand for money in Algeria," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 1-11.
    6. Ijaz Younis & Himani Gupta & Waheed Ullah Shah & Arshian Sharif & Xuan Tang, 2024. "The Effects of Economic Uncertainty and Trade Policy Uncertainty on Industry-Specific Stock Markets Equity," Computational Economics, Springer;Society for Computational Economics, vol. 64(5), pages 2909-2933, November.
    7. Malika Neifar & Niazi Kammoun, 2022. "Revisit of Tunisia s Money Demand Function: What About Oil Price and Exchange Rate Effects?," International Journal of Economics and Financial Issues, Econjournals, vol. 12(5), pages 106-116, September.
    8. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara, 2021. "The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels," Resources Policy, Elsevier, vol. 73(C).
    9. Mhd Ruslan, Siti Marsila & Mokhtar, Kasypi, 2021. "Stock market volatility on shipping stock prices: GARCH models approach," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).

    More about this item

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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