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Neoclassical finance, behavioral finance and noise traders: Assessment of gold–oil markets

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  • Ftiti, Zied
  • Fatnassi, Ibrahim
  • Tiwari, Aviral Kumar

Abstract

This article investigates the relationship between oil and gold price movements. We use the wavelet approach to analyze the time and frequency of this relationship. Results show that oil and gold markets have a high level of co-movement during periods of crisis. Furthermore, results suggest that directional causality is explained through the sources of oil shocks. Oil precautionary demand shocks drive fluctuations in the gold market for a short time, whereas the causality direction is reversed for a medium timeframe. However, in the case of oil aggregate demand-side shocks, we show that variables have anti-cyclical effects on each other.

Suggested Citation

  • Ftiti, Zied & Fatnassi, Ibrahim & Tiwari, Aviral Kumar, 2016. "Neoclassical finance, behavioral finance and noise traders: Assessment of gold–oil markets," Finance Research Letters, Elsevier, vol. 17(C), pages 33-40.
    • Handle: RePEc:eee:finlet:v:17:y:2016:i:c:p:33-40
    DOI: 10.1016/j.frl.2016.01.002
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    Cited by:

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    3. Youssef, Manel & Mokni, Khaled, 2021. "Oil-gold nexus: Evidence from regime switching-quantile regression approach," Resources Policy, Elsevier, vol. 73(C).
    4. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Oduyemi, Gabriel O., 2021. "How COVID-19 upturns the hedging potentials of gold against oil and stock markets risks: Nonlinear evidences through threshold regression and markov-regime switching models," Resources Policy, Elsevier, vol. 70(C).
    5. Ghulam Mujtaba & Asima Siddique & Nader Naifar & Syed Jawad Hussain Shahzad, 2024. "Hedge and safe haven role of commodities for the US and Chinese equity markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2381-2414, April.
    6. Cui, Xin & Sensoy, Ahmet & Nguyen, Duc Khuong & Yao, Shouyu & Wu, Yiyao, 2022. "Positive information shocks, investor behavior and stock price crash risk," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 493-518.
    7. Li, Tong & Chen, Hui & Liu, Wei & Yu, Guang & Yu, Yongtian, 2023. "Understanding the role of social media sentiment in identifying irrational herding behavior in the stock market," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 163-179.
    8. Salisu, Afees A. & Adediran, Idris, 2020. "Gold as a hedge against oil shocks: Evidence from new datasets for oil shocks," Resources Policy, Elsevier, vol. 66(C).
    9. Gaies, Brahim & Nakhli, Mohamed Sahbi & Ayadi, Rim & Sahut, Jean-Michel, 2022. "Exploring the causal links between investor sentiment and financial instability: A dynamic macro-financial analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 290-303.
    10. Miroslava Zavadska & Lucía Morales & Joseph Coughlan, 2018. "The Lead–Lag Relationship between Oil Futures and Spot Prices—A Literature Review," IJFS, MDPI, vol. 6(4), pages 1-22, October.
    11. Bouzgarrou, Houssam & Ftiti, Zied & Louhichi, Waël & Yousfi, Mohamed, 2023. "What can we learn about the market reaction to macroeconomic surprise? Evidence from the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 64(C).
    12. Arfaoui, Nadia & Yousaf, Imran & Jareño, Francisco, 2023. "Return and volatility connectedness between gold and energy markets: Evidence from the pre- and post-COVID vaccination phases," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 617-634.
    13. Luo, Xingguo & Qin, Shihua, 2017. "Oil price uncertainty and Chinese stock returns: New evidence from the oil volatility index," Finance Research Letters, Elsevier, vol. 20(C), pages 29-34.
    14. Chu, Gang & Zhang, Wei & Sun, Guofeng & Zhang, Xiaotao, 2019. "A new online portfolio selection algorithm based on Kalman Filter and anti-correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    15. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2020. "The hedging effectiveness of industrial metals against different oil shocks: Evidence from the four newly developed oil shocks datasets," Resources Policy, Elsevier, vol. 69(C).

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    More about this item

    Keywords

    Wavelet; Causality; Sources of oil shock; Precautionary demand; Aggregate demand; Safe haven;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • F30 - International Economics - - International Finance - - - General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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