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Review
| Published: April 12, 2025
The Psychology Behind Cryptocurrency Investments and Speculation: A Systematic Review
Assistant Professor, Pt. Sundarlal Sharma (Open) University, Chhattisgarh, Bilaspur
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DIP: 18.01.009.20251302
DOI: 10.25215/1302.009
ABSTRACT
Cryptocurrencies have revolutionized the financial landscape, offering decentralized, transparent systems with immense potential. However, their high volatility, speculation, and lack of regulation present unique challenges for investors. This systematic review explores the psychological factors driving cryptocurrency investments and speculative behavior. By synthesizing existing literature, it identifies key cognitive biases, emotional drivers, and social dynamics influencing investor decisions. Cognitive biases such as overconfidence, anchoring, and loss aversion often lead investors to underestimate risks and overestimate rewards. Emotional triggers, including fear of missing out (FOMO) and anxiety during market fluctuations, exacerbate irrational decision-making. Herd behavior, amplified by social media platforms, contributes to speculative bubbles and volatility. Additionally, the role of information overload and confirmation bias in shaping investment strategies is examined. The findings emphasize the interplay between behavioral finance and social psychology in explaining investor behavior. Regulatory frameworks, financial education, and behavioral interventions emerge as critical tools to mitigate the adverse effects of speculative trading. The review underscores the need for interdisciplinary approaches, including neuroscientific and cultural analyses, to better understand the evolving cryptocurrency market. It concludes by highlighting future research directions, such as longitudinal studies and cross-cultural comparisons, to address existing knowledge gaps. This study offers valuable insights for investors, policymakers, and researchers, fostering informed decision-making and sustainable practices in the digital asset ecosystem.
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2025, Lakra, A.
Received: April 02, 2025; Revision Received: April 09, 2025; Accepted: April 12, 2025
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.009.20251302
10.25215/1302.009
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Published in Volume 13, Issue 2, April-June, 2025
