Sentiments in the cryptocurrency market: an in-depth analysis of influential factors applying ISM-MICMAC and AHP

Diya Sharma et al.

Journal of Capital Markets Studies2024https://doi.org/10.1108/jcms-07-2024-0038article
AJG 1
Weight
0.61

What the paper says

Purpose Cryptocurrency, an emerging asset class, is a virtual form of currency that uses cryptography for security and operates on decentralised networks based on blockchain technology. It offers both challenges and opportunities for investors, particularly in terms of diversification, risk management and potential returns. Considering this, the present study attempts to investigate the sentimental factors influencing cryptocurrency while unravelling the intricate interplay among these factors. Design/methodology/approach To achieve this, interpretive structure modelling (ISM) identifies the hierarchical model of critical sentimental factors, while Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) explores their dependency and driving power. Analytic hierarchy process (AHP) is adopted to rank the drivers. Findings Findings reveal that the pandemic, war, religiosity and economic uncertainty are top-level factors dominantly shaping cryptocurrency trends. Simultaneously, Google Search Trends and Herding emerge as the most dependent factors, influenced by sentiments that emerged from other factors. Practical implications The study unpacks implications, acknowledges limitations and proposes avenues for future research. Originality/value By exploring the interactive interrelationships among identified sentimental factors through ISM-MICMAC analysis and ranking via the AHP, this paper will have a great influence while contributing towards this evolving field.

6 citations

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https://doi.org/https://doi.org/10.1108/jcms-07-2024-0038

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@article{diya2024,
  title        = {{Sentiments in the cryptocurrency market: an in-depth analysis of influential factors applying ISM-MICMAC and AHP}},
  author       = {Diya Sharma et al.},
  journal      = {Journal of Capital Markets Studies},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1108/jcms-07-2024-0038},
}

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Evidence weight

0.61

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.72 × 0.4 = 0.29
M · momentum0.65 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.