This paper examines the market maturation hypothesis in cryptocurrency markets through a three-stage analysis of the evolution of tail risk in Bitcoin (BTC) and Ethereum (ETH). Using daily closing prices from January 2015 to February 2026 for BTC (n = 4058) and November 2017 to February 2026 for ETH (n = 3015), we employ 365-day rolling windowsâreflecting the continuous 24/7 operation of cryptocurrency marketsâto trace the temporal dynamics of Value-at-Risk (VaR), Conditional Value-at-Risk (CVaR), and Maximum Drawdown (MDD). The empirical strategy combines (i) NeweyâWest trend tests on rolling risk metrics, (ii) regime-conditional analysis across market states (Bull, Bear, or Neutral) and volatility regimes (high/low uncertainty), and (iii) exceedance correlation analysis to capture asymmetric BTCâETH tail dependence. The results are consistent with the market maturation hypothesis: all ten trend coefficients across both assets are statistically significant (p < 0.001), with linear time trends explaining up to 46.8% (BTC VaR1%) and 67.5% (ETH VaR1%) of variation in rolling tail risk. Sub-period comparisons confirm economically meaningful declinesâBTC VaR1% fell by 22.0% and ETH VaR1% by 26.6% between the early and late subsamples. However, maturation is markedly asymmetric across uncertainty regimes: tail-risk reductions concentrate in low-uncertainty periods, whereas BTC MDD in high-uncertainty regimes shows no significant improvement (+1.0%, p = 0.176). Excess correlation analysis reveals a persistent and widening downside asymmetry (Ďâ = 0.847 vs. Ď+ = 0.246 at the 90th percentile), with late-period upper-tail correlation turning negative (Ď+ = â0.175 at the 95th percentile), implying that portfolio diversification within the cryptocurrency asset class remains illusory during market stress. These findings carry direct implications for institutional risk management, stress-testing frameworks, and prudential regulation of digital assets.
This research paper provides an exhaustive and multi-dimensional analysis of the relationship between financial literacy and the investment behaviors of the teenage demographic (ages 13â19). In the contemporary era, characterized by the "fintech revolution" and the ubiquitous nature of digital assets, traditional barriers to entry in financial markets have largely disintegrated. Consequently, adolescents are now engaging with highly complex and volatile financial instruments, including fractional equities, cryptocurrencies, and non-fungible tokens (NFTs), often before they have attained a basic understanding of economic principles. This study identifies a critical "literacy-participation gap" that exposes young investors to unprecedented risks. Utilizing a qualitative-descriptive meta-synthesis, the paper integrates perspectives from behavioral economics, social learning theory, and adolescent neurobiology to evaluate how varying levels of financial knowledge influence risk perception, asset selection, and long-term financial health. The findings suggest that while high levels of financial literacy correlate with diversified portfolios and risk-mitigation strategies, the "gamified" architecture of modern trading platforms and the influence of social media "finfluencers" often override rational decisionmaking processes. The paper concludes with an urgent call for a paradigm shift in financial pedagogy, advocating for the integration of digital media literacy and behavioral psychology into standard secondary education to foster a more resilient generation of investors.
This paper examines the transformations in finances in the developing markets such as India due to digital money, decentralized finance (DeFi), and blockchain technology. It pays attention to what makes people desire to access such services, what dangers they believe they pose, and how prepared the governmental regulation is (Davis, 1989; Schueffel, 2016). The researchers completed the survey which questioned 420 Indian retail shoppers and fiscal experts about digital finance. They then analyzed the data using Partial Least Squares Structural Equation Modelling (PLS -SEM). They discovered that individuals tend to move to such services when they believe that it is useful, easy to utilize, reputable and with adequate regulation. People fear to take risks and will be less willing to use them (Venkatesh & Davis, 2000; Zhang et al., 2022). The actual use can also be predicted by the intention to use, and individuals who are knowledgeable of contemporary trends, including DeFi, tokenisation, and central bank digital currencies (CBDCs), are even more eager to use useful services (Rogers, 2003; Auer et al., 2022). These findings provide practical suggestions to regulators and banks interested in promoting sound innovation and broader adoption of digital and blockchain finance in India.
The rapid expansion of the digital ecosystem has introduced pressing challenges surrounding identity, authenticity, trust, and transparency. The ease with which digital content can be duplicated often undermines creators, whose works are distributed without consent or fair compensation. Blockchain technology offers a transformative solution through its decentralized, transparent, and tamper-resistant structure. Among its innovations, non-fungible tokens (NFTs) provide a mechanism to verify the authenticity and ownership of unique digital assets. This study explores the transformative potential of NFTs in strengthening digital ownership and authenticity while identifying critical challenges such as market concentration, interoperability limitations, and security vulnerabilities within public NFT platforms. Employing the extreme programming (XP) methodology, this research proposes a secure framework for NFT creation outside public marketplaces to enhance the protection of smart contracts and user accounts. The findings demonstrate that this approach grants usersâ greater control, minimizes exposure to platform-level risks, and promotes trust in decentralized asset management. Overall, this study underscores NFTsâ pivotal role in reshaping digital ownership models and highlights the need for continued innovation to ensure security, transparency, and equitable value distribution in the evolving digital economy.
Purpose: Cyber fraud and money laundering are growing threats to the integrity of operations in the Nigerian banking sector, which undercuts the confidence of customers. This study examined the influence of FinTech solutions specifically smart contracts and cryptographic security on fraud prevention in Nigerian deposit money banks (DMBs), in view of the increasing incidence of cyber fraud and money laundering in the sector. Methodology: The study adopted a quantitative research design, underpinned by the Technology Acceptance Model (TAM), agency theory, and control theory. A cross-sectional survey was conducted on 312 management and IT employees drawn from five selected DMBs in Lagos State. Data collected were analyzed using descriptive statistics and multiple regression analysis. Results and conclusion: The findings revealed that smart contracts have a positive and statistically significant effect on the prevention of cyber fraud (r = 0.408, p < 0.001), while cryptographic security exerts a strong and significant influence on the prevention of money laundering (r = 0.433, p < 0.001). The study concluded that these FinTech solutions are effective tools for enhancing fraud prevention and improving the security architecture of Nigerian banks. Implication of findings: The study implies that deposit money banks should prioritize investment in FinTech innovations, while regulatory authorities should establish supportive frameworks to facilitate their adoption, thereby strengthening financial security and restoring customer confidence in the banking system.
ABSTRACT The global financial system has undergone a profound transformation in recent years, driven by rapid advancements in financial technology and the emergence of digital currencies. Digital currencies, including cryptocurrencies, stablecoins, and Central Bank Digital Currencies (CBDCs), are reshaping the traditional banking landscape by introducing faster, more efficient, and cost-effective methods of conducting financial transactions. These innovations have significantly altered the way individuals and institutions interact with financial systems, reducing reliance on physical cash and traditional intermediaries. This research study aims to analyze the impact of digital currencies on traditional banking institutions, with a particular focus on operational efficiency, customer behavior, and institutional adaptability. The study is based on both primary and secondary data. Primary data has been collected through structured questionnaires targeting a diverse group of respondents, while secondary data has been gathered from reliable sources such as RBI reports, research journals, and industry publications. The research evaluates key factors such as awareness, adoption patterns, perceived benefits, and challenges associated with digital currency usage. The findings of the study indicate that digital currencies enhance transaction speed, reduce operational costs, and improve customer experience by offering convenient and secure financial services. However, the study also highlights significant challenges, including cybersecurity risks, regulatory uncertainty, lack of standardization, and limited awareness among certain segments of the population. Furthermore, traditional banks face increasing competition from fintech firms and decentralized financial platforms, compelling them to innovate and adapt their business models. The study concludes that digital currencies have the potential to significantly transform traditional banking institutions into more efficient, transparent, and customer-centric systems. However, successful integration requires robust regulatory frameworks, technological infrastructure, and enhanced financial literacy among users to ensure sustainable growth and stability in the financial ecosystem. Index Terms: Digital Currencies, Cryptocurrencies, Stablecoins, Central Bank Digital Currencies (CBDCs), Traditional Banking, FinTech, Operational Efficiency, Customer Behavior, Institutional Adaptability, Transaction Speed, Cost Reduction, Cybersecurity, Regulatory Frameworks, Financial Literacy, Decentralized Finance (DeFi).
This analysis examines the role of crypto-assets, particularly Bitcoin, in an investment portfolio. The crypto-asset market, with its rather rapid growth, has begun to attract the interest of a broad range of investors, and despite the uncertainties still existing in the legal framework regulating the sector, international experience shows that the involvement of institutional structures is also growing. The study investigates the impact of including Bitcoin â the largest crypto-asset â within a portfolio of traditional investment assets, focusing on the dynamics of portfolio risk-return indicators to reveal the investment potential of cryptocurrencies. Correlations with other assets were considered, and the possibility of constructing a Markovitz portfolio by including cryptocurrency in a traditional portfolio was considered. Within the framework of portfolio analysis, three scenarios were discussed to see the impact of cryptocurrency inclusion on the portfolio's risk-return indicators, Sharpe ratio. The results of the study generally confirm the hypothesis that cryptocurrencies can serve as a tool to enhance portfolio performance when included in a limited proportion.
Samar Alsulaimani, Yasmin Alamoudi, Ming Zhao, Farookh Hussain
Abstract With blockchain technology, digital asset ownership and governance paradigms have undergone profound changes. Decentralised Autonomous Organisations (DAOs) and fractional non-fungible tokens (F-NFTs) have emerged as pivotal mechanisms for managing shared digital assets that are secure, transparent, and participatory. In many existing F-NFT implementations, initial fractionalisation and trading are emphasised. However, subsequent lifecycle governance, including metadata evolution, share redistribution, and retirement, is handled off-chain or via ad-hoc arrangements, which creates operational and accountability gaps. Therefore, a governance framework based on DAO is proposed for F-NFT management in this paper. A fractionalized asset is governed by rules, quorum thresholds, and life-cycle transitions embedded in smart contracts on the blockchain. These contracts automatically execute token-weighted, proposal-driven outcomes without human intervention. In this paper, âintelligenceâ refers to rule-based automation and verifiable state transitions encoded in smart contracts, rather than machine-learning-based decision-making. Digital assets are managed through a proposal-driven governance mechanism that decentralises authority, automates decision-making, and maintains transparency. There are three primary categories of proposals embedded in the system: (i) updating metadata to adapt to the underlying digital assets, (ii) redistributing fractional ownership in accordance with evolving stakeholder agreements, and (iii) retiring assets to dissolve ownership and legally distribute value. The DAO enforces ownership rules securely and verifiably through smart contracts and token-based governance, mitigating centralisation and fraud. The study provides empirical insights into the viability of the framework for co-owned digital asset ecosystems by evaluating its operational performance and scalability and discussing the implications for governance effectiveness. Based on our findings, DAO-enabled F-NFTs present an innovative mechanism for collaborative ownership in a transparent, democratic, and tamper-proof blockchain environment. As a result of the paper, a contribution is made to the governance and management of F-NFTs in digital asset ecosystems through presenting the framework conceptually and practically.
Cryptocurrency is a peer-to-peer and decentralised network-based currency. After the introduction in 2009, it faced criticism and favouritism and is still developing and reshaping. So far, it is being evaluated from many aspects like financial, economic, social, political and legal. The legal aspect plays a significant role in implementing any new technology. In the context of the regulation of cryptocurrency, its market is under constant flux, and regulatory authorities engage in monitoring its trade across borders. Fintech services are ironically bridging the gaps in cryptocurrency-related financial and investment services offered by blockchain. This study highlights the cryptocurrency movement across the world, acceptance, analysing the factors that affect its transaction. Scenarios have been explained in brief under the shadow, understanding the regulatory possibilities in Pakistan and the reasons creating hurdles for cryptocurrency regulation.
This paper examines the public perceptions of decentralized finance (DeFi) in regulatory uncertainty in Pakistan. Although the current literature mainly focuses on the technical architecture, governance, and the efficiency of DeFi, there has been little literature on how it is socially perceived in emerging economies where its legal status is not well defined. This research is based on the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Institutional Trust Theory as its foundation of study, and it is a qualitative study. Data was gathered by conducting semistructured interviews with ten 10 participants from Karachi, who include students and working professionals from diverse occupational backgrounds. Thematic study shows six themes: Awareness of Decentralized Finance, regulatory uncertainty, perceived risk, financial literacy, perceived benefits, and institutional trust. The result shows that people have awareness but not deep knowledge; they also know the benefits, such as transparency and efficiency, but regulatory uncertainty shapes the perception of people. Regulatory uncertainty enhances perceived risk and ensures the presence of dependency on governmental approval as a legitimizing condition. The perceived usefulness in itself did not give confidence because of the lack of legal protection. The research provides empirical data on Pakistan and illustrates that regulatory clarity and institutional trust are the two key factors that determine social acceptance of decentralized financial innovation in emerging economies.
The rapid convergence of artificial intelligence and decentralized finance is creating a new class of autonomous digital actors capable of participating in market coordination, governance processes, and economic value creation with limited human intervention. This study develops a conceptual framework for examining the economic, organizational, and governance implications of autonomous artificial intelligence agents in decentralized finance. The findings reveal that artificial intelligence agents are evolving beyond simple automation tools and increasingly function as autonomous institutional actors that influence market behavior, community formation, and decentralized governance. The analysis identifies four major application domainsâtrading and analytics, development infrastructure, meme and sentiment formation, and entertainment and virtual influenceâeach characterized by distinct mechanisms of value creation and stakeholder engagement. The study further demonstrates that governance outcomes depend on the interaction between agent autonomy and the distribution of decision-making authority, creating important trade-offs among efficiency, transparency, accountability, and innovation. The findings also indicate that symbolic value, community participation, and cultural narratives have become major drivers of market capitalization, often exceeding the importance of functional utility. While autonomous agents offer opportunities to reduce coordination costs and improve information processing, they simultaneously generate new challenges related to algorithmic opacity, regulatory uncertainty, security vulnerabilities, and governance concentration. By integrating insights from transaction cost economics, principal-agent theory, bounded rationality, and socio-technical systems perspectives, this study provides a multidisciplinary framework for understanding the institutional transformation occurring at the intersection of artificial intelligence and decentralized finance. The study contributes to emerging debates on digital governance and offers directions for future research on the design, regulation, and governance of autonomous financial systems.
The emergence of decentralized Web3 architectures fundamentally disrupts traditional territorial monetary sovereignty, thereby challenging the constitutional mandate of state-controlled currency. This study examines the normative collision between algorithmic decentralization and state-centric monetary frameworks under the Indonesian Constitution. Employing a doctrinal legal methodology through statutory, conceptual, and functional comparative approaches, this research analyzes the central bank digital currency as a critical constitutional defense mechanism. The findings indicate that the Financial Sector Omnibus Law positions the digital fiat as a sovereign instrument to restore macroeconomic control against transnational private stablecoins. Furthermore, balancing anti-money laundering obligations with constitutional privacy rights explicitly requires a regulation-by-design architecture, specifically implementing tiered anonymity. The institutionalization of digital fiat necessitates precise legal agency attribution within permissioned smart contracts to prevent algorithmic immunity. Ultimately, this regulatory integration represents a manifestation of digital constitutionalism, renegotiating the cyberspace social contract to ensure monetary stability while proportionally protecting all fundamental civic rights.
Blockchain technology and decentralised finance (DeFi) are reshaping financial services by eliminating intermediaries, automating transactions through smart contracts, and expanding global access to capital. Initially designed for cryptocurrencies, blockchain has evolved into a transformative ecosystem that optimises resource management and democratises finance. This study explores the impact of blockchain and DeFi on financial services, focusing on adoption opportunities and challenges. It addresses key gaps in the literature, particularly platform interoperability, security in decentralised environments, and adoption in emerging markets. Using the PRISMA 2020 methodology, the research ensures a rigorous selection and critical evaluation of scientific articles to identify trends, barriers, and potential developments. Findings indicate that blockchain and DeFi can enhance financial inclusion, improve transparency, and strengthen decentralisation. However, they also present challenges such as regulatory uncertainty, technical complexity, and security risks. Overcoming these obstacles requires innovative solutions and strategic collaboration among governments, financial institutions, and technology developers. By shedding light on these dynamics, the study contributes to a deeper understanding of how blockchain and DeFi can reshape financial services, paving the way for a more inclusive, efficient, and secure financial ecosystem.
Abstract: The global payments landscape is undergoing a structural transformation driven by the convergence of Digital Finance (DF) technologies and Artificial Intelligence (AI). This integration marks a shift from isolated digital payment systems toward interconnected, intelligent, and highly automated financial infrastructures. AI functions as the core intelligence layer across digital rails - including Distributed Ledger Technology (DLT), Central Bank Digital Currencies (CBDCs), stable coins, and mobile networks - optimizing payment routing, enabling real - time fraud detection, and automating compliance obligations such as AML / KYC. The result is enhanced straight-through processing rates exceeding 99%, reduced cross - border transaction frictions, improved liquidity management, and democratized access to enterprise - grade payment capabilities through API - enabled FinTech platforms. However, rapid adoption introduces new systemic challenges, including algorithmic bias, data privacy vulnerabilities, explains ability concerns, and heightened third - party concentration risks. Emerging regulatory frameworks increasingly emphasize transparency, governance, and explainable AI (XAI), as evidenced in supervisory innovations such as the BIS Project Noor. While digital - AI convergence improves efficiency and fosters financial inclusion, uneven technological capacity risks widening the digital divide without deliberate inclusive design and shared digital infrastructure. This study synthesizes global trends, technological architectures, governance models, and strategic imperatives underpinning AI - enabled payment ecosystems. It highlights a future defined by programmable finance, real - time cross - border rails, intelligent automation, and collaborative regulatory innovation - establishing the foundations for secure, ethical, and scalable digital financial systems worldwide. Keywords: Digital Finance, Artificial Intelligence, Global Payment Systems, Block Chain, Distributed Ledger Technology, Cross - Border Payments, CBDCs, AI Governance, Explainable AI (XAI), Regtech, Straight - Through Processing, Financial Inclusion, Programmable Money, Fintech Infrastructure
This article reviews how blockchain-native finance is reshaping financial intermediation and how the next wave of digital finance is likely to be influenced by large language models (LLMs) and quantum finance research. Building on recent work on decentralized finance, blockchain implementation, supply chain finance, and emerging FinTech architectures, the study develops an integrated analytical framework that connects three layers of change: programmable settlement, intelligent decision support, and frontier computational finance. Rather than treating DeFi, blockchain-based supply chain finance, LLM applications, and quantum finance as isolated topics, the review shows that they form a continuous innovation trajectory with shared challenges in governance, interoperability, data quality, risk modeling, and institutional trust. The paper synthesizes prior findings, compares major technical and managerial mechanisms, and proposes a research agenda for resilient, explainable, and regulation-aware financial innovation. The results suggest that blockchain creates a credible record and execution layer, LLMs expand interpretive and operational intelligence, and quantum finance may eventually widen the solution space for complex risk-pricing and portfolio problems. The article concludes with practical implications for platform designers, regulators, and industry managers.
State payment systems today play a central role in accelerating economic transactions, ensuring transparency in budget fund movements, and digitizing financial services provided to citizens. From this perspective, DeFi â decentralized financeâemerged as a new architecture compared to traditional banking infrastructure and belongs to the category of technological solutions applicable in state payment systems. The core idea of DeFi is to replace intermediaries with code, automate transactions through smart contracts, and operate on open blockchain infrastructure.[1]..
Blockchain technology and smart contracts are revolutionizing legal and commercial transactions worldwide. These innovations enhance efficiency, automation, and security in contract execution while reducing reliance on intermediaries. However, their adoption presents legal challenges related to enforceability, regulatory oversight, and dispute resolution. This research examines the UAE's legal framework governing blockchain and smart contracts, analysing their recognition under contract and commercial law, as well as the roles of key regulatory UAE authorities, including the Securities and Commodities Authority (âSCAâ) and the Virtual Assets Regulatory Authority (âVARAâ).
Ziqiao Kong, Wanxu Xia, Chong Wang, Yi LU ¡ 9 authors
Smart contracts govern billions of dollars in decentralized finance (DeFi), yet automated vulnerability detection remains challenging because many vulnerabilities are tightly coupled with project-specific business logic. We observe that recurring vulnerabilities across diverse DeFi business models often share the same underlying economic mechanisms, which we term DeFi semantics, and that capturing these shared abstractions can enable more systematic auditing. Building on this insight, we propose Knowdit, a knowledge-driven, agentic workflow for smart contract vulnerability detection. Knowdit first constructs an auditing knowledge graph from historical human audit reports, linking fine-grained DeFi semantics with recurring vulnerability patterns. Given a new project, a multi-agent pipeline leverages this knowledge through an iterative loop of specification generation, Proof-of-Concept (PoC) synthesis, PoC execution, and finding reflection, driven by a shared repository index. We evaluate Knowdit on 11 recent Code4rena projects with 84 ground-truth vulnerabilities. Knowdit detects all 21 high-severity and 90% of medium-severity vulnerabilities without false positives, fully covering eight projects, significantly outperforming all baselines. Applied to seven real-world projects, Knowdit further discovers 9 high- and 36 medium-severity previously unknown vulnerabilities, securing millions in liquidity and proving its outstanding performance.
Purpose This article examines the possible impact of blockchains on over-the-counter (OTC) derivatives markets. The article highlights the advantages as well as the risks and challenges of this technology, thereby contributing to the literature on blockchain adoption. Design/methodology/approach This article reviews existing innovation and financial literature, followed by a conceptual, theoretical part where the impact of the distributed ledger technology on OTC derivative markets is explained. Findings Blockchain technology and smart contracts enable process innovation for OTC derivatives markets, given that they could lead to enhanced automation and fewer manual errors. Yet, some barriers have to be overcome for DLT to be widely adopted. Research limitations/implications Because there has not been empirical data available regarding the usage of this technology, no empirical analyses could have been performed. Practical implications The paper provides a phased implementation framework for DLT adoption in OTC derivatives markets and identifies critical success factors at each stage of adoption. Originality/value This article makes a significant contribution to the literature by explaining the ways in which blockchain technology facilitates process innovation. Furthermore, it enhances the body of research on disruptive technologies and offers valuable insights into how regulatory frameworks can foster innovation.
Smart contracts are self-executing digital agreements deployed on blockchain platforms that automate business processes with transparency and security. While they eliminate the need for intermediaries, their major limitation lies in their static logic, which lacks adaptability to dynamic conditions such as supply chain disruptions, market fluctuations, or contract breaches. This rigidity often leads to inefficiencies, delays, and financial losses in real-world applications. To address this challenge, we propose a hybrid framework called SmartGPO, which integrates Graph Neural Networks with Proximal Policy Optimization. The research aims to enhance the adaptability and intelligence of smart contracts by combining structural awareness and decision-making capabilities. The proposed system models the contract environment as a graph, where nodes represent entities and edges denote their interactions. GNNs generate relational embeddings, which are then used by the PPO agent to learn optimal contract execution policies through reward-driven training. SmartGPO achieves superior performance in dynamic contract workflows, with an execution success rate of 98.4 % and a decision-making accuracy of 98.1 %, outperforming traditional and standalone models. The framework also demonstrates improved gas cost reduction and faster processing time. Future enhancements include integrating multi-agent learning, real-time oracle connectivity, and legal compliance layers to further improve security, scalability, and trust. This research marks a step forward in developing intelligent, adaptive smart contracts for real-world blockchain applications.
Semaria Eva Elita Girsang, Shaumiwaty, Muhammad Noval Aryansah, Mario Putra Sanjaya ¡ 5 authors
The development of blockchain technology has driven the emergence of Non Fungible Tokens (NFTs) as unique digital assets traded through specialized marketplaces, forming a new digital economic ecosystem. Despite the rapid growth of the NFTs market, issues such as price volatility, the dominance of speculative activities, and uncertainty regarding long-term economic value remain insufficiently understood in academic studies. This research aims to analyze the role of NFTs marketplaces in shaping the economic value of digital assets, identify the factors influencing NFTs price dynamics, and evaluate the economic implications of the NFTs market for creators, investors, and marketplace platforms. This study employs an empirical quantitative approach by utilizing NFTs transaction data obtained from the OpenSea API, NonFungible.com, and CryptoSlam. The variables analyzed include NFTs prices, trading volume, liquidity, creator reputation, rarity score, and asset category. Data analysis is conducted using statistical and econometric methods to identify price determinants and market dynamics. The results indicate that NFTs values are significantly influenced by scarcity levels, creator reputation, asset utility, and the visibility provided by marketplaces. Marketplaces play a crucial role in shaping liquidity and market expectations, but they also contribute to increased volatility and speculative tendencies. This study concludes that the NFTs market has the potential to generate real economic value, yet it continues to face risks related to speculation and instability. These findings contribute theoretically to the digital economics literature and provide practical implications for the development of a more sustainable NFTs ecosystem.
The article examines the nature and multidimensional classification of digital financial assets (DFAs) as an emerging element of the modern financial system. It demonstrates that the rapid expansion of tokenisation has created a new class of instruments that combine the legal features of conventional financial rights with the technological advantages of distributed ledgers. Internationally, DFAs represent tokenised claims on cash flows, equity, debt, or other assets recorded in distributed or hybrid registers. In Russia, DFAs operate within permissioned information systems (OIS) and are mainly used for short-term debt issuance serving corporate and banking funding needs. The purpose of the research is to provide a holistic understanding of DFAs and to propose a multi-axis classification based on their economic function, underlying asset, holderâs rights, and circulation regime. The study employs analytical and comparative-legal methods, referencing international standards (MiCA, FATF) and industry datasets (DeFiLlama, RWA.xyz) together with official statistics of the Bank of Russia (ORFR). The findings refine the economic and legal definition of DFAs and highlight global and national market trends. It is concluded that the proposed classification enhances data comparability and provides a methodological framework for risk and performance analysis of DFAs. The results may serve as a foundation for the development of regulatory calibration and for aligning Russian market practices with international approaches.
In the zestful domain of blockchain technology, non-fungible tokens (NFTs) have embellished a seminal procedure for setting up digital asset holding. This paper proposes a novel framework for multi-chain NFTs, wherein a single smart contract is deployed across multiple blockchain networks, prolonging the alike contract address to clinch congruous and lone NFT adjuncts. The launching burn-and-mint contraption eases coherent NFT conducts beyond divergent chains, magnifying user trail while conserving safety, solidity, and derivation. By examining the effects of this scheme, the challenges of achieving interoperability among blockchain systems are identified, and potential solutions are proposed to facilitate ethical digital asset management. This work presents prospects of multi-chain NFTs to augment liquidity in the digital asset mart, presenting the latest opportunities for creators, collations, and capitalists. Furthermore, the approach of these NFTs in aiding upheld initiatives, like endowing climate projects and tokenizing actual assets, is inspected. The discovery grant to the proceeding discourse on blockchain upheaval, providing perceptions into the evolution of NFT technology and its pivotal role in elevating economic insertion and overseeing expedient usage.
This research article examines how distributed ledger technology (DLT) can enhance modern-day economies and the mechanisms that enable this emerging technology to sustain them in the long term. The mission of this study is to educate a diverse group of economic leaders, encompassing government agencies and private companies, about DLT and its potential to shape the future. This study analyzes secondary qualitative data to show that DLT can enhance and sustain economies in multiple ways, specifically through the three pillars of modern-day economies: central banks, commercial banks, and land registry systems. More specifically, the architectural mechanisms of DLT reduce moral hazard arising from centralized economic authorities, increase the efficiency of financial services and money movements, and lower the costs of financial services that can be passed on to consumers. Further benefits include the creation of new jobs, new industries, a new asset class, and renewed industries through the adoption of this new infrastructure, thereby expanding markets by building strong foundations for economies to grow through immutable land records, and building trustless networks worldwide.