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Do investor sentiments drive cryptocurrency prices?

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Listed:
  • Akyildirim, Erdinc
  • Aysan, Ahmet Faruk
  • Cepni, Oguzhan
  • Darendeli, S. Pinar Ceyhan

Abstract

This paper studies the dynamic network connectedness between cryptocurrency returns and sentiments using the novel cryptocurrency-specific MarketPsych sentiment data for 13 cryptocurrencies with the highest market capitalization. The results indicate the dominance of cryptocurrencies with higher market capitalization and information transmission from cryptocurrency returns to sentiments. Our results also show that Bitcoin is losing its dominance to alt-coins in return spillovers while still dominant in sentiment spillovers.

Suggested Citation

  • Akyildirim, Erdinc & Aysan, Ahmet Faruk & Cepni, Oguzhan & Darendeli, S. Pinar Ceyhan, 2021. "Do investor sentiments drive cryptocurrency prices?," Economics Letters, Elsevier, vol. 206(C).
    • Handle: RePEc:eee:ecolet:v:206:y:2021:i:c:s0165176521002573
    DOI: 10.1016/j.econlet.2021.109980
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Aysan, Ahmet Faruk & Unal, Ibrahim Musa, 2021. "A Bibliometric Analysis of Fintech and Blockchain in Islamic Finance," MPRA Paper 109712, University Library of Munich, Germany.
    2. Aysan, Ahmet Faruk & Unal, Ibrahim Musa, 2022. "Fintech, Digitalization, And Blockchain In Inslamic Finance: Retrospective Investigation," MPRA Paper 115399, University Library of Munich, Germany.
    3. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2023. "Predictability of crypto returns: The impact of trading behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    4. Caferra, Rocco, 2022. "Sentiment spillover and price dynamics: Information flow in the cryptocurrency and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    5. Murat Akkaya, 2021. "The Determinants of the Volatility in Cryptocurrency Markets: The Bitcoin Case," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 35(1), pages 87-97.
    6. Xu, Danyang & Hu, Yang & Corbet, Shaen & Goodell, John W., 2023. "Volatility connectedness between global COVOL and major international volatility indices," Finance Research Letters, Elsevier, vol. 56(C).
    7. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2022. "What drives DeFi prices? Investigating the effects of investor attention," Finance Research Letters, Elsevier, vol. 48(C).
    8. Ibrahim Musa Unal & Ahmet Faruk Aysan, 2022. "Fintech, Digitalization, and Blockchain in Islamic Finance: Retrospective Investigation," FinTech, MDPI, vol. 1(4), pages 1-11, November.
    9. Yongzhi Gong & Xiaofei Tang & En-Chung Chang, 2023. "Group norms and policy norms trigger different autonomous motivations for Chinese investors in cryptocurrency investment," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    10. Rubbaniy, Ghulame & Tee, Kienpin & Iren, Perihan & Abdennadher, Sonia, 2022. "Investors’ mood and herd investing: A quantile-on-quantile regression explanation from crypto market," Finance Research Letters, Elsevier, vol. 47(PA).
    11. Oguzhan Cepni & Ahmet Faruk Aysan, 2023. "Coin Specific Sentiments Matter For The Nonfungible Tokens Spillovers: How And When?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(4), pages 637-658, November.
    12. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    13. Kumar Kulbhaskar, Anamika & Subramaniam, Sowmya, 2023. "Breaking news headlines: Impact on trading activity in the cryptocurrency market," Economic Modelling, Elsevier, vol. 126(C).
    14. Ahmet Faruk Aysan & Ibrahim Musa Unal, 2021. "Is Islamic Finance Evolving Into Fintech and Blockchain: A Bibliometric Analysis," Post-Print hal-03351153, HAL.
    15. Li, Chao & Yang, Haijun, 2022. "Will memecoins’ surge trigger a crypto crash? Evidence from the connectedness between leading cryptocurrencies and memecoins," Finance Research Letters, Elsevier, vol. 50(C).

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    More about this item

    Keywords

    Cryptocurrency; Sentiment; Spillovers; TVP-VAR;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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