Purpose: This study explores the transformative impact of financial technology (fintech) on the global financial services industry, focusing on innovations, regulatory implications, and challenges. The research aims to identify key technological disruptions, examine the regulatory landscape, and highlight opportunities and risks introduced by fintech. Methodology/approach: A Systematic Literature Review (SLR) was conducted using SCOPUS, IEEE Xplore, and ScienceDirect. Following a structured protocol, 153 peer-reviewed articles (2014–2019) were analysed through thematic and meta-analytical approaches. The study adopted an interpretative philosophy and used the PICOC framework to refine search precision and synthesis. Results/findings: The analysis reveals fintech’s disruptive innovations in financing and payment systems, such as peer-to-peer (P2P) lending, crowdfunding, blockchain-enabled transactions, and mobile payments. These services have enhanced financial inclusion, operational efficiency, and customer accessibility. Regulatory frameworks have evolved in parallel, though challenges remain in addressing moral hazard, cybersecurity, and compliance. Geographically, Asia, particularly China and Indonesia, leads fintech research and implementation. Conclusion: Fintech has significantly reshaped financial ecosystems by enabling decentralized financial services, accelerating digital transactions, and fostering inclusivity. However, cybersecurity risks, limited regulatory clarity, and uneven global adoption continue to impede its sustainable integration. Limitations: The study is limited to English-language literature from 2014–2019 and may not capture recent post-pandemic developments or region-specific innovations in Islamic or informal economies. Contribution: This paper contributes a comprehensive synthesis of fintech’s evolution, identifies existing gaps, and offers insights for policymakers, financial institutions, and researchers to foster a balanced, secure, and innovative financial environment.
Decentralized Finance (DeFi) is among the most revolutionary blockchain technology applications that changes how financial systems operate globally by eliminating the middlemen and allowing peer-to-peer transactions via smart contracts. DeFi platforms built on decentralized networks recreate core banking services (e.g., lending, borrowing, trading, and asset management) in a transparent, borderless, and programmable setting. This paper looks at the ways in which DeFi is disrupting conventional banking and the regulation issues that have emerged due to the phenomenon. It discusses the technical foundations of DeFi, its benefits of inclusiveness, efficiency, and innovation and its risks of volatility, security, and systemic vulnerability. Among the major regulatory issues identified in the paper are jurisdictional ambiguity, anti-money laundering (AML) and Know-Your-Customer (KYC) compliance, investor protection, and financial stability. Applications like Uniswap, Aave as well as MakerDAO example opportunities and threats. The same problem has dominated the United States, European Union and the emerging economies, as has been described in the comparison analysis of the response in regulation; tension of stimulation of innovation and protection of the financial structure. Research indicates that although DeFi has a revolutionary potential in relation to open finance, its decentralized form makes it difficult to regulate. It needs to be a middle ground between international coordination, hybrid sandboxes and technology neutral policy to not just promote resilience and consumer protection, but also creativity.
This paper provides a systematic review and synthesis of two converging financial literatures: mortgage-backed securities (MBS) and decentralized finance (DeFi). I trace the evolution of MBS research from the 1970s through the 2008 financial crisis to present day, while examining how blockchain innovations create new possibilities for real estate finance. The methodology combines traditional literature review techniques with bibliometric analysis, utilizing Google Scholar and Google Trends data to document the shifting research landscape and public interest in these topics over time. The findings reveal that while MBS research peaked following the 2008 financial crisis, DeFi and real estate tokenization research show more recent growth trajectories since 2016. The synthesis highlights how blockchain technology offers potential improvements in transparency, transaction costs, and liquidity for real estate markets, while acknowledging significant regulatory and governance challenges. This review contributes to understanding the current state of research at the intersection of traditional real estate finance and emerging blockchain applications, providing a foundation for future empirical investigations.
ABSTRACT This study investigates how overconfident cryptocurrency traders influence the connection between returns and risk premia, proxied by option‐adjusted credit spreads. Using daily data from January 2021 to February 2025, we uncover asymmetry and state dependence: returns decline when spreads widen, particularly during crashes, yet they do not recover when spreads narrow. Equity indices exhibit more balanced co‐movements. The asymmetry strengthens in high‐volatility periods and persists after we control for broad market returns and after we substitute a composite crypto index for individual cryptocurrencies. These findings indicate a distinctive pricing mechanism in cryptocurrency markets shaped by overconfident behaviour and credit‐spread dynamics.
ABSTRACT This study innovatively constructs a global regulatory framework of smart contract technology and environmental, social, and governance (ESG) investment standard in the decentralized finance (DeFi) market based on the analysis of capital inflow/outflow rate, technological innovation index, and financial market openness on DeFi market volatility, liquidity risk, and market stability. The paper establishes a “smart ESG” framework to guide market compliance and sustainable development. The framework stresses the significance of corporate social responsibility (CSR) practice and environmental management in the guidance of financial decision‐making in the DeFi space to promote sustainable development and achieve the win‐win situation of financial activities to society and the environment. Furthermore, based on the BART model (Blockchain Automated Regulatory Tool), the dynamic predictive regulatory (DPR) framework and incentive dynamic governance index (IDGI) model, this study constructs a multi‐level regulatory system to cope with the complex and dynamic DeFi market. The empirical analysis is based on the top 10 economies in the world, and the feasibility of the framework in different market conditions is verified. This study not only enriches the theoretical framework of combining DeFi and ESG but also provides policymakers with feasible regulatory strategies for incorporating CSR and environmental management into the regulatory system to promote the stability and sustainable development of global financial markets.
Junliang Luo, Katrin Tinn, Şengül Duran, Di Wu · 5 authors
Tokenized U.S. Treasuries have emerged as a prominent subclass of real-world assets (RWAs), offering cryptographically secured, yield-bearing instruments issued across multi-chain Web3 infrastructures, with growing significance for transparency, accessibility, and financial inclusion. While the market has expanded rapidly, empirical analyses of transaction-level behaviours remain limited. This paper conducts a quantitative, function-level dissection of U.S. Treasury-backed RWA tokens, including BUIDL, BENJI, and USDY across multi-chain: mostly Ethereum and Layer-2s. Decoded contract calls expose core financial primitives such as issuance, redemption, transfer, and bridging, revealing patterns that distinguish institutional participants from smaller or retail users for the extent and limits of inclusivity in current RWA adoption. To infer address-level economic roles, we introduce a curvature-aware representation learning model. Our method outperforms baseline models in role inference on our collected U.S. Treasury transaction dataset and generalizes to address classification across broader public blockchain transaction datasets. The decoded transaction-level patterns in tokenized U.S. Treasuries across chains surface the degree of retail participation, and the role inference model enables the distinction between institutional treasuries, arbitrage bots, and retail traders based on behavioral patterns, facilitating future more transparent, inclusive, and accountable Web3 finance.
The financial services industry has experienced a fundamental transformation through the strategic adoption of distributed systems architecture, fundamentally altering how institutions design, deploy, and scale their product offerings. Traditional banking infrastructure, characterized by monolithic architectures and centralized processing systems, increasingly struggles to meet contemporary demands for real-time processing, continuous availability, and seamless scalability. Distributed systems address these challenges through horizontal scaling capabilities, enabling institutions to accommodate exponential growth in transaction volumes without proportional infrastructure cost increases. The implementation of distributed computing has enabled comprehensive portfolios of digital-first financial products, including mobile banking platforms, real-time transaction processing systems, AI-driven financial advisory services, intelligent customer support solutions, and advanced fraud detection mechanisms. These systems demonstrate superior resilience through redundancy and fault isolation, achieving exceptional availability levels through multi-region deployment strategies. Future developments in distributed financial systems encompass blockchain integration, decentralized finance protocols, advanced artificial intelligence capabilities, and edge computing with IoT integration. However, implementation presents complex technical challenges, including data consistency maintenance, security considerations, regulatory compliance across multiple jurisdictions, operational complexity, and performance optimization requirements that institutions must carefully navigate to realize distributed computing benefits effectively.
This chapter explores the role of Decentralized Finance (DeFi) in transforming the global financial ecosystem, focusing on its objectives, challenges, and potential. It highlights how DeFi platforms leverage blockchain technology to provide financial services without intermediaries like banks. The chapter identifies gaps in existing literature, particularly around DeFi's long-term sustainability, regulatory challenges, and scalability. Using a systematic literature review, the impact of DeFi on lending, borrowing, insurance, and asset management is analyzed. Findings show that DeFi enhances financial inclusion, transparency, and efficiency, but faces challenges such as regulatory uncertainties, legal issues, security risks, and user experience concerns. The chapter suggests that DeFi has the potential to revolutionize financial services, offering significant implications for academics, society, industry, and researchers.
Cryptocurrencies, powered by blockchain technology, have emerged as a transformative force in global finance, offering alternatives to traditional financial systems by enabling decentralized, secure, and efficient transactions. This paper explores the potential of cryptocurrencies to shape the future of global finance, with a focus on their mainstream adoption, integration with traditional financial systems, and the development of Central Bank Digital Currencies (CBDCs). The paper examines how cryptocurrencies could become more widely accepted by governments, businesses, and consumers, and discusses the role of fintech companies and traditional financial institutions in incorporating these digital assets into existing financial frameworks. Additionally, it analyzes the promise of CBDCs as government-backed alternatives to decentralized cryptocurrencies and the technological advancements required to address scalability and environmental concerns. Despite their potential, cryptocurrencies face significant challenges, including regulatory uncertainty, scalability issues, environmental impact, and public perception. These barriers hinder the widespread adoption of cryptocurrencies, but ongoing innovation, coupled with clearer regulations and public education, could pave the way for broader integration into global finance. This study concludes that while the future of cryptocurrencies holds substantial promise, overcoming these challenges is critical to realizing their potential in transforming financial systems and increasing financial inclusion worldwide. Keywords: Cryptocurrencies, Blokchain Technology, Virtual Finance, Global Finance, Financial System
Central Bank Digital Currencies (CBDCs) represent a critical innovation in the era of Industry 4.0, combining the technological advancements of digital currencies with the regulatory oversight of central banks. Despite increasing interest, gaps remain in understanding how technical design choices influence CBDC integration into financial systems. This study addresses this gap by examining key technical characteristics of CBDCs across three critical dimensions through a systematic literature review: Infrastructure and Functionality, Access and Transfer Mechanisms, and Cross-Border Payments. The Infrastructure and Functionality dimension examines architectural models (one-tier vs. two-tier), and the integration of blockchain and Distributed Ledger Technology (DLT), non-DLT, and hybrid systems, with a focus on how these frameworks impact CBDC performance. The Access and Transfer Mechanisms dimension focuses on access models (token-based vs. account-based) and transfer methods (online vs. offline). The Cross-Border Payments dimension explores interoperability through three potential models: Compatible CBDC Systems, Linking Multiple CBDC Systems, and Single Multi-Currency Systems. By synthesizing insights from ongoing global CBDC projects such as Project Garuda, Project Jura, and e-CNY, this research develops a refined taxonomy that categorizes and maps technical design elements of CBDCs. The findings provide a comprehensive transformative mapping of CBDC’s technical aspects, supporting policymakers, regulators, and developers to navigate implementation challenges and achieve the goals of Industry 4.0. Future studies could further investigate specific use cases to optimize CBDC frameworks.
Proof-of-Stake (PoS) is an energy-efficient consensus where proposer election based on validator stakes causes centralization, especially in stake pools. However, existing reward allocation mechanisms aim to address centralization but increase the risk of Sybil attacks. Therefore, designing a reward allocation mechanism for stake pools that reconciles decentralization and Sybil resilience remains a key challenge. In this paper, we propose Dream-SR, a reward allocation mechanism established with formal function properties. Dream-SR enhances decentralization by imposing reward constraints to limit the dominance of large stake pools. Sybil resilience is ensured by aligning reward allocation with both the economic incentives and the influence, effectively addressing utility-maximizing and influence-maximizing Sybil attacks. Furthermore, we leverage a multi-leader-multi-follower (MLMF) Stackelberg game model to capture the interactions between validators and users regarding commission pricing and stake delegation within stake pools. The game model is used to analyze the impact of the reward allocation mechanism on the strategies of participants and the system equilibrium. Compared with other relevant mechanisms, numerical results reveal that Dream-SR effectively improves decentralization and resilience to Sybil attacks at equilibrium.
Maksym Ivasenko, Сергій Михайлович Фролов, Mykhaylo Heyenko, Nataliia Kolodnenko · 5 authors
This article highlights the results of a study investigating whether the growth of syndicated loan activity among US commercial banks was driven by measurable operational cost savings through blockchain-powered back-office automation. Quarterly data from Q1 2010 to Q4 2024 on syndicated loan stocks, commercial and industrial loans, real GDP, bank assets, and non-interest expenses were obtained from the Federal Reserve System’s FRED database. A dummy variable was applied after 2016 to denote the implementation of the first production-level Distributed Ledger Technology (DLT) pilots. Using the Autoregressive Distributed Lag Model (ARDL) bounds testing approach, evidence of cointegration is found and long-run elasticity is estimated: a steady 1% increase in the volume of syndicated loans reduces the operating expense ratio by 0.147%, which means that almost doubling the volume of loans in the resulting sample leads to approximately 15% structural reduction in the burden on banks’ back offices. The associated error correction model gives a short-run elasticity of –0.276 (i.e., a 1% quarterly shock to loan volume reduces expenses by 0.276 p.p.) and a 47% correction rate to a new equilibrium. Diagnostic tests confirm the absence of sequential correlation and resistance to heteroscedasticity by White’s standard errors. System-wide process improvements were evaluated by examining Hyperledger Fabric’s permissioned channel blockchain, smart contract automation, and multi-signature approval policies, which together simplify Know Your Customer (KYC) document workflows and settlement processes. The findings provide empirical evidence that enterprise DLT platforms deliver significant cost reductions for syndicated loan transactions, with implications for bank, fintech, and regulatory strategies.
The accelerating geopolitical rivalry between major powers has renewed interest in diversifying central bank reserves. Traditionally dominated by the US dollar and gold, global reserve composition is now being reconsidered amid de-dollarization trends and the growing relevance of crypto assets – particularly Bitcoin. This study examines the rationale, risks, and strategic implications of incorporating Bitcoin into sovereign reserve portfolios, with a focus on the financial confrontation between the United States (US) and the People’s Republic of China (China).Adopting an interdisciplinary approach, the paper integrates macroeconomic, legal, and geopolitical analysis. It explores the United States’ gradual institutional accommodation of Bitcoin, culminating in the 2025 establishment of a Strategic Bitcoin Reserve, contrasted with China’s prohibitive stance and promotion of the centralized digital yuan (e-CNY). The study further analyzes the legal instruments, regulatory strategies, and infrastructural controls through which the US exerts influence over crypto markets, including indirect market interventions and custodial frameworks.Findings indicate that, despite high volatility and limited adoption, Bitcoin is increasingly perceived as a strategic hedge by states seeking to reduce dependence on traditional financial hegemony. While its formal inclusion in reserves remains marginal and politically constrained, its symbolic and geopolitical utility is growing – particularly for sanctioned or financially isolated economies.The article concludes that Bitcoin’s role in global finance may expand under specific conditions: market stabilization, regulatory convergence, and persistent geopolitical fragmentation. To support structured evaluation, the paper introduces two novel analytical concepts – the Sovereign Crypto Reserve Readiness Index (SCRRI) and the Bitcoin Reserve Exposure Threshold (BRET), which together provide a framework for assessing both institutional feasibility and risk-adjusted limits for sovereign Bitcoin integration.
Decentralized Finance (DeFi) has become as a world-shattering power in the financial sector, proposing a trustless, permission less, and decentralized substitute to traditional financial systems. This paper attempts to assess the impact of Decentralized Finance on traditional financial markets, emphasizing the benefits, challenges, and regulatory contemplations accompanied its implementation. The data has collected from both primary and secondary sources. This study provides experimental visions of growing impact of Decentralized Finance on investment strategies. From the study, it has been suggested, that even though Decentralized Finance provides better financial inclusion and transparency also it associated with risks related to security, instability, and regulatory uncertainty. The paper accomplishes with recommendations for integrating Decentralized Finance with traditional finance for a stronger and adaptive financial system.
The decentralized finance ecosystem has fundamentally transformed traditional financial paradigms by eliminating intermediaries and enabling permissionless financial services through smart contracts deployed on blockchain networks. However, the explosive expansion has simultaneously exposed critical vulnerabilities in existing quality assurance methodologies, which were originally designed for centralized systems with predictable failure modes and controlled environments. Traditional quality assurance approaches rely heavily on static testing protocols, periodic audits, and human-mediated verification processes that prove fundamentally incompatible with the dynamic, autonomous nature of DeFi ecosystems. The inherent characteristics of DeFi platforms create a unique risk landscape that demands innovative approaches to quality assurance, particularly given the complex interconnected protocol dependencies across major DeFi applications. This article introduces a novel dynamic risk-adaptive quality assurance framework specifically engineered for DeFi platforms that transcends traditional static analysis by implementing a self-adjusting architecture capable of continuously monitoring, evaluating, and responding to emerging threats in real-time. The framework integrates artificial intelligence-driven risk prediction algorithms with behavioral analytics to create a comprehensive defense mechanism that evolves alongside the threat landscape. Through establishing dynamic risk thresholds and implementing automated response protocols, this system represents a paradigm shift toward autonomous, intelligent quality assurance in decentralized financial ecosystems, addressing critical security challenges through four interconnected layers, including data ingestion, AI-driven risk prediction, dynamic threshold management, and automated response mechanisms.
Virtual currencies in general, and Bitcoin in particular, are currently the most used and famous compared to other circulated cryptocurrencies. Bitcoin is considered one of the currencies that has been fully implemented. A cryptocurrency is a decentralized peer-to-peer virtual currency. Exchange operations between users are conducted without resorting to a bank to manage the transactions. This explains one of the major advantages offered by this system: low costs or low transaction fees, which are much lower than those provided by banks in terms of modern and traditional payment methods. To ensure the validity of transactions and the dissemination of this type of money, encryption technology is used.
Title: Systemic Risk Analysis of Synthetic Asset Issuance Protocols in Decentralized Finance (DeFi) Networks Based on Network Analysis and On-Chain Data DBA Candidate, University of Tehran Abstract: This study aims to analyze the systemic risk of synthetic asset issuance protocols within Iranian Decentralized Finance (DeFi) networks. To this end, a network analysis and on-chain data approach was employed to investigate financial interdependencies among key domestic cryptocurrency platforms, including Ramzinex, Nobitex, Bit24, Phintra, and IranExChain. Real-world data from 382,747 transactions spanning from March to December 2024 (Farvardin to Azar 1403 SH) were extracted and modeled as a cross-platform transaction matrix. Network analysis results indicate that the structure of Iran’s decentralized financial ecosystem is scale-free and heterogeneous, and liquidity concentration in two primary nodes (Ramzinex = 0.62, Nobitex = 0.51) significantly increases the probability of financial contagion among protocols. The network propagation model, with transmission coefficients β=0.16\beta = 0.16β=0.16 and γ=0.09\gamma = 0.09γ=0.09, demonstrates that under a scenario of a 30% drop in collateral value, the ratio of infected nodes to the entire network increases. The composite Network Stability Index (NSI), valued at 0.74 under normal conditions and 0.46 under severe shocks, confirms the transition of the system into a fragility phase. Sensitivity and bootstrap analyses recorded an error of 0.038, validating the robustness of the model. Furthermore, results show that the introduction of the digital Rial (Rial Digital Currency) in June 2024 led to a 12% reduction in average systemic risk and enhanced cross-platform stability. Based on the findings, three strategies are proposed to mitigate systemic risk in Iran’s DeFi ecosystem: improving on-chain data transparency, regulating Rial-based collateralization policies, and designing an early warning system based on the SIR model. By combining local on-chain data with international network metrics, this study presents the first comprehensive analytical framework for assessing financial resilience in Iranian synthetic asset protocols. Keywords: Systemic Risk, Synthetic Assets, Decentralized Finance (DeFi), Network Analysis, On-Chain Data, Stability Index, Rial Digital Currency, SIR Model.
Blockchain technology has gained significant traction across the globe, with India emerging as a growing hub for its application. At its core, blockchain is a decentralized, distributed ledger that records transactions across multiple computers. The immutability and transparency of blockchain make it particularly attractive for various industries, especially when integrated with smart contracts. These self-executing contracts, coded onto the blockchain, automatically enforce the terms of an agreement without the need for intermediaries. This chapter explores the significance of blockchain in India, its major applications, advantages, challenges, and future prospects. Blockchain technology holds immense potential to transform India's digital ecosystem.
Stablecoins face an unresolved trilemma of balancing decentralization, stability, and regulatory compliance. We present a hybrid stabilization protocol that combines crypto-collateralized reserves, algorithmic futures contracts, and cross-chain liquidity pools to achieve robust price adherence while preserving user privacy. At its core, the protocol introduces stabilization futures contracts (SFCs), non-collateralized derivatives that programmatically incentivize third-party arbitrageurs to counteract price deviations via adaptor signature atomic swaps. Autonomous AI agents optimize delta hedging across decentralized exchanges (DEXs), while zkSNARKs prove compliance with anti-money laundering (AML) regulations without exposing identities or transaction details. Our cryptographic design reduces cross-chain liquidity concentration (Herfindahl-Hirschman Index: 2,400 vs. 4,900 in single-chain systems) and ensures atomicity under standard cryptographic assumptions. The protocol's layered architecture encompassing incentive-compatible SFCs, AI-driven market making, and zero-knowledge regulatory proofs. It provides a blueprint for next-generation decentralized financial infrastructure.
The stock market is crucial in modern economic systems, facilitating capital allocation and wealth generation. Swap contracts are a fundamental financial tool allowing two parties to exchange cash flows, such as stocks, according to predefined rules over a specified period. These contracts are widely used to manage financial exposure, reduce borrowing costs, speculate on market movements, and optimize financial strategies. Blockchain technology, a decentralized and distributed ledger system, has gained significant traction in recent years. Increasingly, blockchain users are seeking to invest in traditional stocks through blockchain-based mechanisms. In this paper, we propose a protocol for implementing swap contracts on a blockchain, enabling the synthetic representation of real-world stocks. To the best of our knowledge, this work is the first to implement blockchain-based swap contracts. Implementing swap contracts has the potential to facilitate the development of more advanced financial tools that currently do not exist on blockchain networks, such as blockchain-based index funds and Exchange-Traded Funds (ETFs).