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.
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.
This chapter considers the future of currency in light of recent developments in artificial intelligence (AI). It is now possible to put a reasonably sensible brain into every piece of money. We ask, what will intelligent money do to markets, society, and people? We first consider the ongoing digitalisation of payment and the use of blockchains in the non-fungible token space. Then we review recent advances in AI. We then discuss how these two developments come together to create “smart money” – money that has goals. Finally, we conclude with an assessment of the broader implications of smart money and how it may alter our interactions in markets and elsewhere in society.
This article explores the symbiosis of Industry 5.0 technologies and regulatory mechanisms that radically transform the interaction between the banking sector and public governance with a perspective extending to 2045. The research identifies key mechanisms of mutual influence between advanced technologies (artificial intelligence, distributed ledgers, quantum computing) and regulatory processes that define the evolution of banks from traditional financial intermediaries into integrated ecosystems of socio-economic development. The theoretical novelty of the study lies in substantiating the concept of «hybrid financial entities», in which technological infrastructure and regulatory processes function as inseparable components of a unified self-adapting system based on principles of proactive compliance and algorithmic trust. The paper demonstrates that the transformation of public governance models in the financial sector is moving from hierarchical structures towards platform solutions («Government as a Platform», GaaP), creating preconditions for regulatory landscape fragmentation and the formation of «regulatory microclimates». The integration of ESG principles into banking regulation redefines the very nature of financial intermediation, transforming banks into institutions of sustainable development. Special attention is paid to ensuring «digital sovereignty» and «safe degradation» of financial systems in conditions of geopolitical instability and risks of global conflicts. The study proposes a methodological table of banking institutions’ characteristics within four scenarios of financial system evolution: «Technological Hegemony», «Regulatory Revenge», «Decentralised Autonomy», and «Hybrid Convergence». The paper argues that the most probable scenario for banking sector evolution by 2045 is «Hybrid Convergence», characterised by a multi-level financial system where centralised and decentralised elements, state regulation and market self-regulation coexist within a unified ecosystem.
The PISTIS project, funded by the EU, aims to develop a federated platform for secure, trusted, and controlled data trading. By integrating Distributed Ledger Technologies (DLTs) and non-fungible tokens (NFTs), PISTIS enables seamless data management, peer-to-peer transfers, on-chain contracts, and systematic data valuation. It establishes a decentralized ecosystem governed by a cloud-based infrastructure and peer-to-peer connected local resources, allowing stakeholders to manage and monetize their data assets securely. The PISTIS Monetary Ledger, leveraging the IOTA protocol, ensures scalable, feeless, and efficient financial transactions, while the Digital DLT FIAT Wallet facilitates stable fiat-to-token exchanges. Additionally, the NFT Generator enables data tokenization, promoting a transparent and value-driven data economy. This paper outlines the aforementioned parts of the platform’s functional and nonfunctional requirements, system architecture, and future developments.
This paper investigates the global awareness and understanding of Decentralized Finance (DeFi) by analyzing the perceptions of diverse demographic groups. Using a qualitative methodology based on interviews with blockchain professionals and users from multiple countries, this study identifies knowledge gaps, regional differences, and educational factors impacting DeFi adoption. The findings indicate that while awareness is increasing in technologically advanced regions, substantial educational and infrastructural barriers persist in developing countries. Participants shared varied experiences ranging from comprehensive DeFi usage to initial confusion regarding its core concepts, highlighting the uneven distribution of blockchain literacy. Moreover, cultural perceptions, local economic conditions, and trust in traditional financial systems significantly influence the degree of DeFi adoption. Key factors such as language accessibility, availability of localized content, community engagement, and government stance on digital assets also contribute to shaping user attitudes. This paper contributes to the growing body of literature on DeFi by offering practical insights into how global awareness initiatives can support equitable adoption and engagement with decentralized financial systems. It further emphasizes the importance of coordinated efforts between industry stakeholders, educators, and regulators to design scalable and inclusive educational programs that address global disparities in DeFi comprehension and foster informed participation in the decentralized financial landscape.
Lending protocols have transformed the Decentralized Finance (DeFi) ecosystem, driving innovation while also introducing new risks. This study develops a machine learning framework to predict user behavior and assess factors influencing changes in health ratios within the Compound V2 protocol. By analyzing user historical data, position metrics, and market conditions, we propose machine learning-based models to predict whether users will adjust their positions or face liquidation. We find that Random Forest and XGBoost models excel in predicting these outcomes, with features like collateral values, historical risk exposure, and asset composition playing significant roles. Additionally, panel regression models reveal insights into health ratio dynamics over time and across asset types, as well as user sophistication. These findings offer a better understanding of user behavior, highlighting opportunities for improved risk modeling and adaptive strategies in DeFi lending.
Hong Qu, Krzysztof Gogol, Florian Grötschla, Claudio J. Tessone
Decentralized Finance (DeFi) lending enables permissionless borrowing via smart contracts. However, it faces challenges in optimizing interest rates, mitigating bad debt, and improving capital efficiency. Rule-based interest-rate models struggle to adapt to dynamic market conditions, leading to inefficiencies. This work applies Offline Reinforcement Learning (RL) to optimize interest rate adjustments in DeFi lending protocols. Using historical data from Aave protocol, we evaluate three RL approaches: Conservative Q-Learning (CQL), Behavior Cloning (BC), and TD3 with Behavior Cloning (TD3-BC). TD3-BC demonstrates superior performance in balancing utilization, capital stability, and risk, outperforming existing models. It adapts effectively to historical stress events like the May 2021 crash and the March 2023 USDC depeg, showcasing potential for automated, real-time governance.
This article explores the potential of Web3 and decentralized applications (dApps) to revolutionize digital banking. It explores how blockchain technology transforms traditional banking through distributed ledger systems that enhance transparency, security, and user autonomy. The technical architecture of Web3 banking solutions is detailed, including blockchain networks, smart contracts, and emerging applications like decentralized lending protocols, cross-border payment systems, and asset tokenization. While these technologies address significant limitations in conventional banking systems, such as excessive fees, settlement delays, and centralized control, challenges persist in regulatory compliance, scalability, interoperability, and user experience. The integration of artificial intelligence and quantum-resistant cryptography represents promising developments that could further enhance decentralized financial systems. As the blockchain ecosystem matures, financial institutions that embrace these technologies stand to gain competitive advantages through operational efficiencies and enhanced customer value.
As markets have digitized, the number of tradable products has skyrocketed. Algorithmically constructed portfolios of these assets now dominate public and private markets, resulting in a combinatorial explosion of tradable assets. In this paper, we provide a simple means to compute market clearing prices for semi-fungible assets which have a partial ordering between them. Such assets are increasingly found in traditional markets (bonds, commodities, ETFs), private markets (private credit, compute markets), and in decentralized finance. We formulate the market clearing problem as an optimization problem over a directed acyclic graph that represents participant preferences. Subsequently, we use convex duality to efficiently estimate market clearing prices, which correspond to particular dual variables. We then describe dominant strategy incentive compatible payment and allocation rules for clearing these markets. We conclude with examples of how this framework can construct prices for a variety of algorithmically constructed, semi-fungible portfolios of practical importance.
ABSTRACT The article argues that the European Central Bank's (ECB) regulatory stance toward cryptocurrencies was underpinned by efforts to preserve legitimacy and monetary sovereignty. Triangulating a content analysis on the ECB's policy statements on cryptocurrencies, examination of European macroeconomic data, and price dynamic analysis of Bitcoin from 2014 to 2025, this article traces an evolution in the ECB's regulatory stance toward cryptocurrencies through two phases that inadvertently abetted cryptocurrency adoption: neutralization (2018–2019) and cooptation (2020‐present). From 2018 to 2019, the ECB assumed a hostile stance toward cryptocurrencies, attempting to neutralize its influence. However, its market‐oriented approach to regulation created a lack of controls over cryptocurrencies and a deregulation of payment processing that enabled their expansion. By 2020, the ECB shifted toward tolerance and even cooptation when unsuccessful policy attempts to contain economic precarity amid the pandemic subsequently incentivized household adoption of cryptocurrencies which, still unregulated, gained notoriety as a prospective alternative source of income. During this period, the shift to digital payments, global isomorphic pressures from the SEC's history with cryptocurrencies, and global currency competition against the Euro energized the ECB's aspirations for a digital Euro, for which it sought to coopt cryptocurrency stablecoin designs and popularity to secure public legitimacy.
The relevance of the article is due to the fact that there is currently an increasing need for an independent financial ecosystem that provides capital owners with full control over their money due to the fact that it is the development of a financial system based on modern technologies in power and financial relations. The subject of the research is the use of financial services based on the use of blockchain and a platform approach. The purpose of the work is to identify the problems, risks, advantages and disadvantages of decentralized finance (DeFi). The analysis of the current state of decentralized finance is carried out and the mechanisms of their functioning are investigated. It has been established that the DeFi ecosystem, which uses a multi-level structure and freely combines blocks and protocols, is implemented by decentralized autonomous organizations that ensure the interaction of participants and decision-making mechanisms. Potential applications of the DeFi ecosystem have been identified, covering the provision and receipt of loans, banking services, and profit optimization. The key problems of decentralized financing have been identified, including a high risk of user error; low productivity; the possibility of third-party interference; difficulties in using tokens with different capitalization levels; imperfect functioning of programs; insufficient cybersecurity; significant volatility. The advantages and development trends of centralized financing are highlighted: fast access and openness; autonomy; relatively high profitability; savings on resources and time. It is concluded that decentralized financing has both advantages and disadvantages.
Hongzhe Wen, Songbai Li, Ronald Siu Man Lau, Jamie Zhang
With market capitalization exceeding USD250 billion by mid-2025, stablecoins have evolved from a crypto-focused innovation into a vital component of the global monetary structure. This paper identifies the characteristics of stablecoins from an analytical perspective and investigates the role of stablecoins in forming a hybrid monetary ecosystem where public (fiat, CBDC) and private (USDC, USDT, DAI) monies coexist. Through a number of econometric analysis models, we find that stablecoins maintain strong peg stability, while each type exhibiting distinctive responses to market variables such as trading volume and capitalization depending on the mechanisms behind. We also introduce a hybrid system design that proposes a two-layer structure, which private stablecoin issuers are backed by central bank reserves, ensuring uniformity, security, and programmability. This model takes advantages of both decentralized finance and payment innovation, while utilizing the Federal Reserve's institutional trust. A case study on the SVB-USDC de-peg event in 2023 illustrates how such a hybrid system could have prevented panic-induced instability through transparent reserves, secured liquidity, and interoperable assets. Through examination of the Dybvig model and simulation, we conclude that a hybrid monetary model not only enhances financial inclusivity, scalability, and dollar utility in digital ecosystems, but it also strengthens systemic resilience, offering a credible blueprint for future digital dollar architectures.
Blockchain technology is increasingly recognized for its ability to provide robust security in digital systems, offering transparent, immutable, and decentralized solutions. Within the current blockchain framework, Non-Fungible Tokens (NFTs) are utilized primarily for representing unique digital assets in transactions. However, NFTs face limitations in financial contexts, particularly as they are unsuitable for use as collateral. This is due to their nonfungible nature, which makes them difficult to value consistently and exchange uniformly compared to traditional assets. To overcome these challenges, the proposed system aims to innovate by integrating NFTs into the banking sector. This system enhances the utility of NFTs by employing them in secure financial transactions, leveraging the Proof of Stake (PoS) algorithm to record each transaction on the blockchain. PoS provides a more energy-efficient and scalable solution compared to Proof of Work (PoW), making it well-suited for the high demands of financial systems. By implementing NFTs within this framework, the proposed system not only secures transactions but also expands the potential applications of NFTs beyond digital collectibles. This integration could revolutionize the way digital assets are handled in banking, offering new opportunities for financial innovation and asset management.
Maninder Singh, William Bjorndahl, Gagangeet Singh Aujla, Joseph Camp
In the era of continuously increasing demand for bandwidth and revolutionary wireless technologies, efficient spectrum management is essential. This paper proposes a novel multi-tier tokenization approach for dynamic spectrum management. Leveraging the concept of heterogeneous tokenization of spectrum bands, we develop a decentralized framework based on blockchain technology that enables the sharing of spectrum among users. The spectrum space is represented by multi-planes, the first plane consists of unique spectrum bands converted into NFTs for long-term allocations, while the second plane involves subdividing these NFT spectrum bands for short-term usage by retail users through fungible tokens. The fungible tokens are dynamically traded and mapped using particle swarm optimization (PSO) to manage demand and supply. The paper presents formal models of the involved entities and algorithms for creating multi-tier tokens, dynamic token trading and demand-supply mapping using PSO. To enhance privacy, a zero-knowledge proof (ZKP) based approach is employed for user authentication. The proposed framework offers a secure, transparent, and scalable solution for spectrum management, addressing the limitations of traditional centralized approaches. Simulation results demonstrate the effectiveness of the framework in dynamic spectrum access, while providing privacy-aware and scalable solutions suitable for future wireless networks, including 6G.
Ratih Fitria Putri, Robert Marbun, Wulandari Harjanti
The rapid development of cryptocurrency investment has raised concerns regarding its impact on economic stability, particularly in emerging markets. This study employs a qualitative approach through literature review and library research to analyze the risks associated with cryptocurrency investments and their implications for financial stability. This research identifies key risk factors, including market volatility, regulatory uncertainty, cybersecurity threats, and financial system disruptions by examining existing scholarly works, regulatory frameworks, and market trends. The findings indicate that cryptocurrency investments offer opportunities for financial inclusion and economic diversification but also pose significant risks to economic stability due to price fluctuations and speculative behavior. Furthermore, the lack of a unified regulatory framework across different countries exacerbates these risks, leading to potential financial instability in emerging economies. The study highlights the necessity of regulatory intervention and policy formulation to mitigate these risks while harnessing the benefits of cryptocurrency investments. Governments and financial institutions in emerging markets must establish robust risk management strategies and regulatory frameworks to balance innovation and financial stability. This research contributes to the academic discourse by providing a comprehensive understanding of the relationship between cryptocurrency investments and economic stability in emerging markets. Future research should focus on empirical case studies to further explore the long-term effects of cryptocurrency investments on financial stability.
Market making serves as a cornerstone function in financial markets by ensuring continuous liquidity through the provision of bid and ask quotes across various asset classes. This scholarly examination traces the evolution of market making from its historical origins to its contemporary algorithmic manifestations, exploring the fundamental principles that govern spread mechanics, inventory management, and regulatory considerations. The analysis evaluates market makers' critical functions in liquidity provision, price discovery, volatility reduction, and transaction cost efficiency. Risk management strategies—encompassing hedging techniques, adverse selection mitigation, operational safeguards, and stress testing protocols—are examined in detail. Technological developments, particularly the rise of high-frequency trading, artificial intelligence applications, and decentralized finance models, have transformed market making practices while introducing new challenges for market resilience. The increasing complexity of market structures, coupled with evolving regulatory frameworks, continues to reshape market making strategies across traditional and emerging financial ecosystems.
Ichsan Kurniawan, Made Sudiarta, Luh Mei Wahyuni, Ida Ayu Ketut Sumawidari · 7 authors
The rise of Decentralized Finance (DeFi) represents a transformative shift in the global financial landscape, challenging traditional financial models and offering new possibilities for a more inclusive and efficient financial system. This study aims to explore the opportunities and challenges that DeFi poses to the conventional financial sector, focusing on its impact on banking, credit systems, investments, and payment systems. A mixed-methods approach was employed, including secondary data analysis, expert interviews, and first-hand experience with DeFi protocols such as lending, borrowing, and arbitrage. The findings highlight the significant potential of DeFi in creating alternative financial models that can increase financial inclusion, enhance access to capital, and reduce transaction costs. Recent data indicates that the Total Value Locked (TVL) in DeFi platforms has surged to over $50 billion as of January 2025, reflecting growing adoption. Additionally, daily transaction volumes across major DeFi platforms have reached approximately $10 billion, with active users exceeding 4 million globally. However, the research also identifies critical challenges, including regulatory uncertainty, security vulnerabilities, and the complexity of DeFi platforms, which pose barriers to mainstream adoption. This paper contributes to the understanding of how DeFi can reshape the financial ecosystem, offering insights into its future potential, the risks involved, and the steps required to address the existing challenges. Furthermore, it underscores the need for ongoing research into the regulatory aspects of DeFi and its collaboration with traditional financial institutions.
The emergence of Decentralized Finance (DeFi) has introduced a paradigm shift in global financial intermediation, challenging traditional banking systems with transparent, algorithm-driven, and blockchain-based financial services. As institutional investors and banks navigate increasingly complex cross-jurisdictional regulatory environments, DeFi presents an opportunity to reimagine asset securitization through decentralized, programmable frameworks. This paper explores the integration of DeFi protocols into institutional asset securitization, focusing on how smart contracts, tokenization, and decentralized liquidity pools can streamline processes, enhance transparency, and reduce reliance on intermediaries across disparate legal and regulatory jurisdictions. At a broader level, the study outlines the limitations of conventional securitization—such as opacity, time lags, and fragmentation—especially in multinational banking ecosystems. It then narrows in on how DeFi tools like automated market makers (AMMs), decentralized exchanges (DEXs), and overcollateralized lending protocols can be adapted to structure, issue, and trade tokenized asset-backed securities (ABS). Particular attention is paid to the challenges of legal enforceability, compliance, and interoperability between blockchain platforms and regulatory frameworks. Case scenarios and pilot initiatives are analyzed to demonstrate the feasibility of decentralized securitization in cross-border finance, including synthetic credit instruments and on-chain risk analytics. The paper further examines how oracles and compliance layers (e.g., KYC/AML-integrated smart contracts) can reconcile DeFi's permissionless nature with institutional governance standards. The findings support a hybrid finance future, where regulated entities harness DeFi infrastructure for secure, compliant, and efficient asset securitization. Policy recommendations are offered to foster collaboration between regulators, financial institutions, and protocol developers in building trust-minimized, scalable, and cross-jurisdictionally aligned financial ecosystems.
Abstract The rise of Decentralized Finance (DeFi) is revolutionizing the financial sector by leveraging blockchain technology to offer alternatives to traditional banking, lending, and investment mechanisms. By eliminating intermediaries, DeFi facilitates peer-to-peer transactions through smart contracts and decentralized applications (dApps), enhancing efficiency, transparency, and financial inclusion. This paper explores the fundamental components of DeFi, including decentralized exchanges (DEXs), lending platforms, stablecoins, and yield farming, while assessing their implications for conventional financial institutions. Despite its rapid growth, DeFi presents several challenges, including regulatory uncertainty, security vulnerabilities, smart contract risks, and liquidity constraints. The absence of centralized oversight raises concerns regarding compliance, fraud, and investor protection. Moreover, the volatility of digital assets and reliance on algorithmic protocols introduce financial stability risks. Through case studies and market analysis, this study evaluates whether DeFi can complement or disrupt traditional financial systems. While DeFi offers significant innovation and democratization of financial services, its long-term sustainability depends on regulatory developments, technological advancements, and mainstream adoption. By addressing existing limitations, DeFi has the potential to reshape financial intermediation, bridging the gap between decentralized and traditional finance in the evolving digital economy. Keywords: Decentralized Finance, Blockchain, Smart Contracts, Financial Intermediation, Banking Disruption, FinTech, Regulatory Challenges .
The rapid evolution of Decentralized Finance (DeFi) has introduced innovative financial services, offering accessibility, efficiency, and transparency. However, the integration of DeFi into global capital markets presents systemic risks, including liquidity shocks, smart contract vulnerabilities, and regulatory arbitrage. This review explores the intersection of DeFi protocols with systemic risk frameworks to enhance capital market stability and regulatory oversight. By analyzing risk assessment methodologies, stress-testing mechanisms, and governance models, the study highlights strategies for mitigating financial contagion and ensuring market resilience. Furthermore, it examines regulatory approaches, such as real-time compliance monitoring and cross-border coordination, to bridge the gap between decentralized ecosystems and traditional financial regulations. Through case studies and empirical data, this paper underscores the importance of integrating robust risk frameworks with DeFi innovations to foster sustainable financial markets. The findings contribute to ongoing discussions on balancing financial innovation with risk management, providing insights for policymakers, regulators, and industry stakeholders navigating the evolving landscape of digital finance.
The rapid evolution of blockchain technology and decentralized finance (DeFi) has significantly disrupted traditional financial services globally. DeFi, by leveraging blockchain, enables financial services without relying on traditional intermediaries such as banks, creating a more inclusive, efficient, and transparent financial ecosystem. The chapter explores blockchain and DeFi's impact on the Indian financial services sector. The purpose is to identify how these technologies are transforming financial products, services, and regulations in India while addressing key issues like financial inclusion, security, and scalability. The research methodology involves a qualitative approach, including an analysis of secondary data, case studies of Indian blockchain startups. The study will also provide insights into the regulatory and institutional changes required to support this transformation. In conclusion, while blockchain and DeFi offer significant promise for the Indian financial sector, their adoption requires overcoming technological, regulatory, and cultural barriers.
Decentralized finance (DeFi) lending platforms often require over-collateralization, excluding users without substantial crypto holdings. This paper introduces LFG, a novel DeFi protocol that leverages on-chain social profiles and tokenized reputation to assess creditworthiness. By integrating Ethereum smart contracts with Layer-2 solutions (Ethereum, Polygon), decentralized storage (IPFS) and zero-knowledge proofs, LFG enables undercollateralized loans while preserving privacy. We present a technical architecture, analyze security risks, and compare LFGs with traditional models using quantitative metrics. The results show a 40% reduction in collateral requirements for users with high reputation scores on the chain.