About Cryptocurrency: A Comprehensive Academic Review
Ratnavalli Srinivasa, Sathvika Samanab , Naralasetti Srilathac , Pranathi Channad.
aAssistant Professor, BBA Department, Koneru Lakshmaiah Educational Foundation, Vaddesawaram-522502, Andhra Pradesh, India.
bStudent, BBA Department, Koneru Lakshmaiah Educational Foundation, Vaddesawaram-522502, Andhra Pradesh, India.
CStudent, BBA Department, Koneru Lakshmaiah Educational Foundation, Vaddesawaram-522502, Andhra Pradesh, India.
dStudent, BBA Department, Koneru Lakshmaiah Educational Foundation, Vaddesawaram-522502, Andhra Pradesh, India.
ABSTRACT
Cryptocurrency, a decentralized digital asset enabled by blockchain technology, has transformed global finance by introducing novel mechanisms for value exchange, security, and governance. This comprehensive academic review synthesizes current knowledge across multiple dimensions: the technical foundations of cryptocurrencies (including distributed ledger technologies, cryptographic primitives, and consensus mechanisms), economic and financial implications (market behavior, monetary policy interactions, speculation, and investment risk), legal and regulatory frameworks (jurisdictional approaches, taxation, anti-money laundering measures, and consumer protection), as well as societal and ethical concerns (environmental impact, privacy, financial inclusion, and potential for illicit use). Drawing on recent empirical studies, case analyses, and theoretical models, the review highlights both the transformative potential of cryptocurrencies to democratize access to financial services and foster innovation, and the significant challenges—such as scalability, volatility, regulatory uncertainty, and energy consumption—that could inhibit or slow their integration. The paper concludes with a discussion of future research directions, including evolving consensus innovations (e.g. proof-of-stake, sharding), central bank digital currencies (CBDCs), and frameworks for balancing innovation with systemic risk mitigation.
KEYWORDS
Cryptocurrency, probabilistic forecasting, value-at-risk, expected shortfall, volatility, risk management, threat modeling, fintech, blockchain
