Decentralized finance (DeFi) is one of the most promising technologies currently developing on blockchain infrastructure.It offers an innovative approach to providing financial services, allowing transactions to be conducted without the involvement of traditional financial intermediaries, such as banks or payment systems.This is achieved through the use of decentralized protocols and smart contracts that automatically execute the terms of agreements.Such decentralization can have a significant impact on international trade, creating new opportunities for businesses and reducing the costs of international operations.The main advantages of using DeFi in international trade include reducing transaction costs, speeding up payment processing, and ensuring transparency in transactions.By eliminating the need for intermediaries, businesses can conduct payments directly with each other, which significantly shortens transaction processing time and minimizes commission fees.This is particularly important in the context of the global economy, where the speed and efficiency of financial transactions are critical to the success of companies in international markets.Moreover, decentralized finance can promote financial inclusion by providing access to financial services in regions with weak banking infrastructure.For small and medium-sized enterprises in developing countries, DeFi opens up opportunities to enter global markets without the need to rely on traditional banking institutions, which are often inaccessible or too expensive for these businesses.In such cases, DeFi becomes an important tool for stimulating economic growth and promoting international trade in these regions.However, despite the significant advantages of DeFi, several challenges limit its widespread adoption in international trade.The main ones include legal
The popularity of decentralized finance has drawn attention to liquidity mining (LM). In LM, a user deposits her cryptocurrencies into liquidity pools to provide liquidity for exchanges and earn yields. Different liquidity pools offer varying yields and require different pairs of cryptocurrencies. A user can exchange a cryptocurrency for another with some exchange costs. Thus, an LM solution consists of exchange transactions and deposit transactions, guaranteeing (1) each exchange transaction must exchange one cryptocurrency for another at a specific rate (i.e., the exchange constraint); (2) the amounts of cryptocurrencies deposited in a liquidity pool must exceed the required threshold (i.e., the minimum constraint); (3) each deposit transaction must deposit a specific pair of cryptocurrencies at a certain rate in a liquidity pool (i.e., the deposit constraint); and (4) the cryptocurrencies used in the solution do not exceed the cryptocurrencies that the user has (i.e., the budget constraint). Selecting the most profitable LM solution is challenging due to the vast number of candidate solutions. To address this challenge, we define the yield maximization liquidity mining (YMLM) problem. Given a set of liquidity pools, a set of the user's cryptocurrencies, a set of exchange rates, and an evaluation function, YMLM aims to find an LM solution with maximal yields, satisfying the minimum, exchange, deposit, and budget constraints. We prove that YMLM is NP-hard and cannot be solved by algorithms with constant approximation ratios. To tackle YMLM, we propose two algorithms, namely YMLM\_GD and YMLM\_SK, with parameterized approximation ratios. Extensive experiments on both real and synthetic datasets show that our approaches outperform the baselines in yields.
The financial sector is going through a major transformation and evolution with the emergence of Decentralized Finance (DeFi). It is a modern concept that is reshaping the traditional financial landscape and thus changing traditional financial structures. This research delves into the term “Decentralized Finance” by exploring its various advantages, associated challenges, and future patterns and trends. Leveraging blockchain technology, DeFi offers new financial services without intermediaries that in turn enhance financial inclusion, autonomy, and economic empowerment of individuals, though this also entails enormous risks and challenges, including vulnerability to smart contract vulnerabilities, regulatory uncertainty, and market volatility. This research also attempts, through a systematic literature review, to identify the most significant opportunities for DeFi, such as democratized access to financial services, lower transaction fees, and increased liquidity. Additionally, this research highlights the key challenges facing the development of DeFi, such as limitations on its ability to handle large transactions, concerns about user data protection, and the need to adhere to regulatory standards. The paper concludes with a view and insights into the future of DeFi, emphasizing the importance of regulatory clarity, technological innovation, and community governance in shaping the trajectory of DeFi. This analysis contributes to gaining a deeper understanding of the potential and capabilities of DeFi, and provides stakeholders with indispensable insights to navigate the dynamics of DeFi.
This paper intends to examine the existence of riba elements (interest) in the products of cryptocurrency exchange companies locally in Malaysia and the international. Two of the chosen international cryptocurrency exchange companies, namely Huobi and KuCoin, and one local company, Luno Malaysia Sdn. Bhd., were analyzed based on their websites and applications. It was found that riba exist in the products offered by international cryptocurrency exchange companies, specifically crypto loans, and lending. Meanwhile, the local one does not offer a product that generates riba. It can be concluded the two products that generate riba seem to be mirroring foreign exchange trading, which comprises leverage and margin in loans and lending. Hence, it is suggested not to subscribe to lending and loans products offered by international cryptocurrency exchange companies. This study implies for Muslim investors, who deal with cryptocurrency. It is recommended to do future research on awareness of riba in the products of cryptocurrency exchanges among Muslim investors.
Digitalization has fundamentally changed the global economy and will continue to do so. This study investigates how the US Federal Reserve and US Treasury may work together to use decentralized finance (DeFi) systems to promote economic growth in local communities. The study looks into the potential for transformation and the difficulties in incorporating DeFi into conventional financial institutions. Research shows that the use of cash as a means of payment is widely expected to decline in the future. As a result, the public’s ability to make transactions using central bank money may decline rapidly. This study's goals are to solve economic issues, promote innovation, and increase financial efficiency. The use of in-depth interviews, theme analysis, case studies, stakeholder perspectives, comparative analysis, and document analysis is suggested as part of a qualitative research methodology. The goal of these approaches is to offer a sophisticated comprehension of the dynamics of collaboration and the consequences of DeFi integration in the context of the Federal Reserve-Treasury relationship. Important data sources that are necessary to answer the research question are indicated, such as US Treasury statistics, Federal Reserve publications, DeFi platforms, and International Monetary Fund economic indicators. Informed decision-making and policy formation may pave the way for a more inclusive and efficient financial ecosystem, which will eventually drive regional economic growth in the United States and promote monetary sovereignty for the aforementioned monetary entities. This can be achieved by investigating creative collaboration tactics between the Federal Reserve and the US Treasury.
An Pham Ngoc Nguyen, Martin Crane, Thomas Conlon, Marija Bezbradica
Herding behavior has become a familiar phenomenon to investors, with potential dangers of both undervaluing and overvaluing assets, while also threatening market stability. This study contributes to the literature on herding behavior by using a recent dataset, covering the most impactful events of recent years. To our knowledge, this is the first study examining herding behavior across three different types of investment vehicle and also the first study observing herding at a community (subset) level. Specifically, we first explore this phenomenon in each separate type of investment vehicle, namely stocks, US ETFs and cryptocurrencies, using the Cross-Sectional Absolute Deviation model. We find mostly similar herding patterns for stocks and US ETFs. Subsequently, the same experiment is implemented on a combination of all three investment vehicles. For a deeper investigation, we adopt graph-based techniques including the Minimum Spanning Tree and Louvain community detection to partition the combination into smaller subsets to detect herding behavior for each subset. We find that herding behavior exists at all times across all types of investment vehicle at a subset level, although perhaps not at the superset level, and that this herding behavior tends to stem from specific events that solely impact that subset of assets. Lastly, we explore herding by examining the financial contagion effects between these types of investment vehicle. Results show that US ETFs not only have a tendency to propagate similar trading behaviors in stocks and especially cryptocurrencies but also show self-reinforcing herding behavior, acting as drivers of their own trends.
This paper presents new techniques for private billing in systems for privacy-preserving online advertising. In particular, we show how an ad exchange can use an e-cash scheme to bill advertisers for ad impressions without learning which client saw which ad: The exchange issues electronic coins to advertisers, advertisers pay publishers (via clients) for ad impressions, and publishers unlinkably redeem coins with the exchange. To implement this proposal, we design a new divisible e-cash scheme that uses modern zero-knowledge proofs to reduce the ad exchange's computational costs by roughly 250x compared to the previous state-of-the-art. With our new e-cash scheme, our private-billing infrastructure adds little overhead to existing private ad-retargeting systems: less than 63 ms of latency, negligible client computation, less than 3.2 KB of client communication, and a combined server operating cost (advertisers, publishers, and exchange) of less than 1% of ad spend, an over 5x savings compared to the previous state-of-the-art.
Abstract Decentralized finance (DeFi) has emerged to offer traditional financial services such as lending, borrowing, and trading without intermediaries (e.g., banks). DeFi transactions are typically executed using a special digital class of contracts called smart contracts. These contracts are self-executing and hard-coded directly on a blockchain. We observe the emergence of a new class of voluntary audits that evaluate the integrity of these contracts. Using a hand-coded sample of about 8,500 smart contract audit reports, we provide some of the first evidence showing that (1) these audits are pervasive, (2) the audit firm market is composed of new technical audit firms, (3) the scope of these audits can span a variety of contract features, (4) the audit inputs and outputs differ substantively from those of conventional financial audits, and (5) the market reacts positively to the release of these audit reports, suggesting that these reports are value-relevant. These findings highlight the demand for novel assurance services driven by blockchain technology.
The emergence of decentralized finance (DeFi) has transformed traditional financial systems by leveraging blockchain technology to offer decentralized solutions for trading and liquidity provision. Within the CORE Chain ecosystem, the COREDAO VIP token plays a pivotal role in facilitating liquidity pooling and automated trading across various COREDAO-based tokens. This research investigates the impact of COREDAO VIP token within decentralized exchanges (DEX) such as ICECREAMSWAP, LFGSWAP, SHADOWSWAP, and ARCHERSWAP. By analyzing its integration into these platforms, the study explores how COREDAOVIP enhances liquidity management, reduces slippage, and supports automated trading strategies. Key aspects examined include the token's utility, governance implications, and its influence on trading dynamics within the COREDAO ecosystem. Through comprehensive analysis and empirical insights, this research aims to provide a nuanced understanding of COREDAOVIP token's role in advancing decentralized finance practices and its implications for future blockchain-based financial ecosystems.
Omoshola S. Owolabi, Prince C. Uche, Nathaniel T. Adeniken, Emmanuel Hinneh · 5 authors
This research examines the integration of decentralized finance (DeFi) in supply chain finance and its potential to revolutionize traditional financial systems. The study aims to provide an understanding of how DeFi can overcome the limitations of traditional supply chain finance methods and create new opportunities for businesses. The research starts by discussing the challenges faced by supply chain finance and introduces DeFi as a solution. Using blockchain technology and smart contracts, DeFi enables a transparent and trustworthy system for real-time tracking of financial transactions and assets, this transparency reduces the risk of fraud and enhances decision-making. The study explores how DeFi can streamline and automate various supply chain finance processes, such as invoice factoring, trade finance, and payments, using smart contracts and decentralized applications. However, there are challenges and limitations that need to be addressed for successful implementation. The implications of DeFi for the US financial system, including risks to traditional institutions and regulatory considerations, are also discussed. The research proposes potential solutions and prospects for DeFi in supply chain finance. Additionally, the research examines the potential impact of DeFi on the US economy and job market, highlighting the emergence of new job roles and skills. The study concludes by providing key findings and recommendations for stakeholders, including companies, policymakers, and researchers. The integration of DeFi in supply chain finance offers an opportunity to transform financial operations and relationships within the supply chain. Collaboration, innovation, and strategic efforts from all stakeholders are crucial for realizing the potential of DeFi. The US should take a proactive approach by developing regulatory frameworks, fostering research and development, promoting partnerships, and investing in education and talent development to position itself as a global leader in supply chain finance innovation.
Dr Heena Dhingra -, Dr Anant Deshmukh -, Ashish V. Mundafale
The Sustainable Development Goals (SDGs) are the critical goals for every country in the world. A stable global financial system is needed these days to satisfy its duty to boost private capital mobilization to achieve sustainable development and steady economic growth. However, several obstacles limiting such financial mobilization have been identified by scholars, practitioners, and standard setters. In recent times digital transformation and advancement, specifically in the finance sector, include a wide range of technological developments, and applications such as blockchain, the Internet of things, big data, and artificial intelligence are promised to enhance performance in the financial sector. The potential of digital applications in the finance sector to resolve critical obstacles in financing for inclusive and sustainable growth becomes evident. Financial inclusion is indisputably one of the most significant processes towards achieving the Sustainable Development Goals and FinTech is one of the best methods for these goals to be accomplished. The Fintech industry in India is rapidly expanding and the purpose of this paper is to discuss issues such as fintech drivers, shortcomings of traditional financial services, and the role of technological advancement. The paper also addresses issues relating to fintech investment and disturbance. Financial technology faces challenges such as investment management, customer management, and regulation. The paper examines the evolution of fintech in the banking sector over time. But as we are aware a country like India lacks proper infrastructure and management and the objectives of banking can’t not be attained easily. All the issues and challenges faced by the government and financial institutions have been discussed in this paper along with the important and different strategies adopted by them. The study is based on secondary data and a literature review. India has surpassed the global fintech adoption rate to promote financial transactions with the help of technology. Demonetisation and implementation of the GST (goods and services tax) have also played a major role in the adoption of financial technologies among the masses. Also, the announcement made by the government in 2017 to decrease the amount of paper currency in circulation has elevated its awareness. Blockchain is another financial technology that is being used in the industry. Out of the total “fintech” technologies, blockchain was developed for finance which is directly connected to financial institutions. The main aim of Blockchain in financial services is decentralization where we do not trust a third party to execute transactions. It includes services such as transferring funds between banks and companies. While trading in capital markets, innovative electronic trading platforms facilitate online trade and real-time transfers. Trading networks allow investors to observe the trading behavior of their peers and expert traders and to follow their investment strategies on currency exchange and capital markets. These platforms require either very little or no knowledge about financial markets. An automated financial advisor provides financial advice or online investment management with moderate minimal human intervention.
Togzhan Barakbayeva, Soroush Farokhnia, Amir Kafshdar Goharshady, Markus Gufler · 5 authors
Cardano is a blockchain protocol based on proof-of-stake and an extended UTXO model which also supportsarbitrary smart contracts. Its primary currency, Ada, is cur-rently one of the global top ten cryptocurrencies with amarket cap of more than 16 billion USD. In Cardano, newblocks are produced by stake pools. Any holder of Ada candelegate their stake to a pool. The underlying proof-of-stakeconsensus protocol is Ouroboros Praos, which divides time intoa number of epochs and each epoch into a number of slots, eachcorresponding to one second. In each slot, leaders are randomlyselected to produce and add new blocks to the blockchain, withtheir selection probability being proportional to their stake.Each block can contain a sequence of transactions and blockproduction is rewarded in two ways: (i) transaction fees and(ii) monetary expansion. The producers have no control over(ii), but can optimize (i) by choosing which transactions toinclude in their blocks. Thus, they are incentivized to maximizethe total transaction fees.In this work, we consider the natural optimization problemof forming a block with maximum transaction fees givena set of unmined Cardano transactions. We show that byexploiting the sparsity of interrelations between transactions,i.e. the small treedepth of dependency-conflict graphs, it ispossible to obtain a polynomial-time algorithm that outputsoptimal blocks. We implemented our algorithm in a freeand open-source tool called Pixiu. Using Pixiu, we provideextensive experimental results over real-world transaction dataon the Cardano blockchain demonstrating that our approachincreases the block producers’ revenue by almost 1,357.82USD/day = 495,604.3 USD/year.
Rug pulls in Solana have caused significant damage to users interacting with Decentralized Finance (DeFi). A rug pull occurs when developers exploit users' trust and drain liquidity from token pools on Decentralized Exchanges (DEXs), leaving users with worthless tokens. Although rug pulls in Ethereum and Binance Smart Chain (BSC) have gained attention recently, analysis of rug pulls in Solana remains largely under-explored. In this paper, we introduce SolRPDS (Solana Rug Pull Dataset), the first public rug pull dataset derived from Solana's transactions. We examine approximately four years of DeFi data (2021-2024) that covers suspected and confirmed tokens exhibiting rug pull patterns. The dataset, derived from 3.69 billion transactions, consists of 62,895 suspicious liquidity pools. The data is annotated for inactivity states, which is a key indicator, and includes several detailed liquidity activities such as additions, removals, and last interaction as well as other attributes such as inactivity periods and withdrawn token amounts, to help identify suspicious behavior. Our preliminary analysis reveals clear distinctions between legitimate and fraudulent liquidity pools and we found that 22,195 tokens in the dataset exhibit rug pull patterns during the examined period. SolRPDS can support a wide range of future research on rug pulls including the development of data-driven and heuristic-based solutions for real-time rug pull detection and mitigation.
Blockchains implement decentralized monetary systems and applications. Recent advancements enable what we call tethering a blockchain to a primary blockchain, securing the tethered chain by nodes that post primary-chain tokens as collateral. The collateral ensures nodes behave as intended, until they withdraw it. Unlike a Proof of Stake blockchain which uses its own token as collateral, using primary-chain tokens shields the tethered chain from the volatility of its own token. State-of-the-art tethered blockchains either rely on centralization, or make extreme assumptions: that all communication is synchronous, that operators remain correct even post-withdrawal, or that withdrawals can be indefinitely delayed by tethered-chain failures. We prove that with partial synchrony, there is no solution to the problem. However, under the standard assumptions that communication with the primary chain is synchronous and communication among the tethered chain nodes is partially synchronous, there is a solution. We present a tethered-chain protocol called Aegis. Aegis uses references from its blocks to primary blocks to define committees, checkpoints on the primary chain to perpetuate decisions, and resets to establish new committees when previous ones become obsolete. It ensures safety at all times and rapid progress when latency among Aegis nodes is low.
This thesis explores the transformation of traditional banks into centralized digital banking systems as a strategic response to the burgeoning challenges posed by decentralized finance (DeFi) technologies such as blockchain and cryptocurrencies. As these technologies disrupt traditional financial paradigms, offering more direct, efficient, and transparent financial services, traditional banks face increasing pressure to adapt and evolve. This work argues for the necessity and feasibility of centralized digital banking as a comprehensive countermeasure to DeFi. Through a detailed examination of current banking challenges, including inefficiencies in customer service, transaction processing, and compliance, the thesis proposes a model of banking that leverages centralization and digitalization to address these issues. The proposed model not only enhances operational efficiency and customer engagement but also fortifies the banks’ competitive edge in a digital economy. Furthermore, the thesis discusses the long-term implications of such transformations, predicting that centralized digital banks will not only coexist with DeFi platforms but may also lead the financial services industry by adopting innovative technologies that drive customer satisfaction and operational excellence. Recommendations are provided for both banks and policymakers to foster an environment conducive to the development of robust, secure, and customer-focused digital banking services. In summary, this thesis affirms that centralized digital banking is not merely a defensive strategy against the rise of DeFi but a forward-looking approach that will define the future of banking.
Ngozi Samuel Uzougbo, Chinonso Gladys Ikegwu, Adefolake Olachi Adewusi
Decentralized Finance (DeFi) has emerged as a disruptive force in the financial industry, offering innovative solutions such as smart contracts, decentralized exchanges, and lending protocols. However, the regulatory landscape for DeFi remains uncertain and fragmented, posing challenges and opportunities for its development and adoption. This abstract provides an overview of the regulatory frameworks for DeFi, highlighting key challenges and opportunities. The regulatory landscape for DeFi is complex and varies significantly across jurisdictions. While some countries have embraced DeFi and blockchain technology, others have adopted a cautious approach, citing concerns such as money laundering, consumer protection, and financial stability. The lack of a harmonized regulatory framework has created uncertainty for DeFi projects and users, hindering mainstream adoption. One of the key challenges facing DeFi is the lack of clarity regarding regulatory compliance. DeFi projects often operate in a decentralized and borderless manner, making it difficult to determine which regulations apply. This ambiguity has led to regulatory scrutiny and enforcement actions in some cases, highlighting the need for clear and comprehensive regulatory guidelines. Despite these challenges, there are also significant opportunities for DeFi to thrive within a regulated framework. Regulatory clarity can provide legitimacy and credibility to the DeFi industry, attracting institutional investors and mainstream users. Moreover, regulations can help protect consumers and ensure the integrity of DeFi protocols, fostering trust and confidence in the ecosystem. To address the challenges and leverage the opportunities, stakeholders in the DeFi ecosystem, including regulators, policymakers, developers, and users, must collaborate to develop a balanced regulatory framework. This framework should prioritize innovation while addressing concerns related to security, privacy, and financial stability. By working together, the DeFi industry can navigate the regulatory landscape and unlock the full potential of decentralized finance for global financial inclusion and economic empowerment.
The decentralized anonymous cryptocurrency is a new kind of technology that can be used for many purposes such as transferring money and investing. However, they do not have a legal entity that is in charge monitoring its uses. Its extraordinary rise raises critical questions such as, should we regulate it or ban it? Since its purposes have been converted from an anonymous payment system to a tool that is used in illegal actions and undermining financial standards. This paper seeks CC regulation options. Plus, it attempts to lay out the various risks they pose and benefits they bring with the technology they use (blockchain). The objective is to investigate which approach will be more reasonable for the country’s conditions. The regulators will try to convince CC service providers to obey rules and operate under official standards, while banners restrict the new instrument’s integration with the financial system. The study relied on the descriptive approach to achieve its objectives. The recent literature and publications of the most important related bodies around the world were reviewed. Findings reveal that it is too early for CCs to be considered legal tender. Moreover, both approaches could be adopted according to the country’s conditions. Plus, alternatives may have their say. Some suggestions are made for local agencies and investors.
This paper explores the theoretical challenges posed by cryptocurrencies to central bank monetary supply management. With the rise of cryptocurrencies like Bitcoin, traditional monetary systems and financial regulatory frameworks face unprecedented disruptions. Through literature review and theoretical analysis, this study systematically examines the fundamental characteristics and operational mechanisms of cryptocurrencies, and their potential impact on monetary policy. The analysis delves into the decentralization of cryptocurrencies and its challenge to the central bank's monopoly on currency issuance. Additionally, it evaluates how the anonymity and cross-border liquidity of cryptocurrencies disrupt monetary policy transmission, particularly in controlling money supply and interest rates. The study also reviews the regulatory policies of various countries and regions, assessing their effectiveness and limitations. The conclusion highlights that cryptocurrency present multifaceted challenges to central bank monetary supply management, affecting the efficacy of monetary policy, financial stability, and the adaptability of regulatory frameworks. To address these challenges, central banks must innovate in policy tools and regulatory measures, and enhance international cooperation to manage cross-border financial risks posed by cryptocurrencies. This research provides a theoretical foundation for understanding the impact of cryptocurrencies on traditional monetary systems and offers valuable insights for policymakers.
Max Beinke, Jan Heinrich Beinke, Eduard Anton, Frank Teuteberg
Abstract Recently, the looming bankruptcy of Credit Suisse, which ultimately led to its merger with UBS, has intensified the discussion surrounding the need for more transparent and democratic financial markets. Decentralized finance (DeFi) represents a departure from traditional financial intermediation by leveraging blockchain technology and smart contracts. Despite its growing importance, limited research has been conducted on the business models of DeFi services. This study aims to address this gap by examining the business models of various DeFi services, identifying key drivers of innovation, differentiation, and value creation. Using a rigorous taxonomy development framework, we identify 12 dimensions and 47 characteristics that operationalize business models in DeFi. Our findings contribute to a better understanding of the transformation of financial services through blockchain technology and provide valuable insights for DeFi entrepreneurs, investors, and policymakers.
Total value locked (TVL) is widely used to measure the size and popularity of decentralized finance (DeFi). However, TVL can be easily manipulated and inflated through "double counting" activities such as wrapping and leveraging. As existing methodologies addressing double counting are inconsistent and flawed, we propose a new framework, termed "total value redeemable (TVR)", to assess the true underlying value of DeFi. Our formal analysis reveals how DeFi's complex network spreads financial contagion via derivative tokens, increasing TVL's sensitivity to external shocks. To quantify double counting, we construct the DeFi multiplier, which mirrors the money multiplier in traditional finance (TradFi). This measurement reveals substantial double counting in DeFi, finding that the gap between TVL and TVR reached \$139.87 billion during the peak of DeFi activity on December 2, 2021, with a TVL-to-TVR ratio of approximately 2. We conduct sensitivity tests to evaluate the stability of TVL compared to TVR, demonstrating the former's significantly higher level of instability than the latter, especially during market downturns: A 25% decline in the price of Ether (ETH) leads to a \$1 billion greater non-linear decrease in TVL compared to TVR via the liquidations triggered by derivative tokens. We also document that the DeFi money multiplier is positively correlated with crypto market indicators and negatively correlated with macroeconomic indicators. Overall, our findings suggest that TVR is more reliable and stable than TVL.
Krzysztof Gogol, Christian Killer, Malte Schlosser, Thomas Bocek · 6 authors
Decentralized Finance (DeFi) refers to financial services that are not necessarily related to crypto-currencies. By employing blockchain for security and integrity, DeFi creates new possibilities that attract retail and institution users, including central banks. Given its novel applications and sophisticated designs, the distinction between DeFi services and understanding the risk involved is often complex. This work systematically presents the major categories of DeFi protocols that cover over 90\% of total value locked (TVL) in DeFi. It establishes a structured methodology to differentiate between DeFi protocols based on their design and architecture. Every DeFi protocol is classified into one of three groups: liquidity pools, pegged and synthetic tokens, and aggregator protocols, followed by risk analysis. In particular, we classify stablecoins, liquid staking tokens, and bridged (wrapped) assets as pegged tokens resembling similar risks. The full risk exposure of DeFi users is derived not only from the DeFi protocol design but also from how it is used and with which tokens.
Abstract The paper analyzes the cryptocurrency ecosystem at both the aggregate and individual levels to understand the factors that impact future volatility. The study uses high-frequency panel data from 2020 to 2022 to examine the relationship between several market volatility drivers, such as daily leverage, signed volatility and jumps. Several known autoregressive model specifications are estimated over different market regimes, and results are compared to equity data as a reference benchmark of a more mature asset class. The panel estimations show that the positive market returns at the high-frequency level increase price volatility, contrary to what is expected from the classical financial literature. We attributed this effect to the price dynamics over the last year of the dataset (2022) by repeating the estimation on different time spans. Moreover, the positive signed volatility and negative daily leverage positively impact the cryptocurrencies’ future volatility, unlike what emerges from the same study on a cross-section of stocks. This result signals a structural difference in a nascent cryptocurrency market that has to mature yet. Further individual-level analysis confirms the findings of the panel analysis and highlights that these effects are statistically significant and commonly shared among many components in the selected universe.
The intricate interplay between the realm of Decentralized Finance (DeFi) and the well-established domain of traditional banking constitutes a captivating narrative of convergence, divergence, and potential collaboration. This paper embarks on a comprehensive exploration of the multifaceted interactions between these two financial landscapes, seeking to decipher whether they are destined for convergence or if their collision is inevitable. Decentralized Finance, or DeFi, represents a paradigm shift in the financial sector. Empowered by blockchain technology and smart contracts, DeFi platforms offer innovative solutions for lending, borrowing, trading, and more. Meanwhile, traditional banking, with its longstanding institutional framework, has served as the cornerstone of financial services. However, the emergence of DeFi has challenged the established norms, questioning the necessity of intermediaries and centralization. The convergence hypothesis suggests a future where DeFi and traditional banking coalesce, fusing the innovation and accessibility of DeFi with the stability and regulatory oversight of traditional banking. This path envisions traditional financial institutions adopting DeFi technologies to streamline operations and enhance efficiency, ultimately benefiting consumers with faster, cheaper, and more inclusive services. Conversely, the collision theory posits that the inherent differences between DeFi and traditional banking—decentralization vs. centralization, innovation vs. regulation—will lead to clashes that hinder harmonious integration. Regulatory challenges, legal uncertainties surrounding smart contracts, and the potential for market disruptions loom as potential roadblocks to a seamless union. Amid these dynamics, the concept of a symbiotic relationship emerges—a scenario where DeFi and traditional banking coexist while maintaining their distinct attributes. This balance allows for innovation to thrive within the parameters of regulatory compliance, offering consumers a spectrum of financial services catering to diverse preferences. In conclusion, the relationship between DeFi and traditional banking is neither singularly convergent nor inevitably divergent. Rather, it navigates a spectrum of possibilities, shaped by regulatory developments, technological advancements, and market demands. As the financial landscape continues to evolve, this exploration aims to shed light on the potential trajectories of these two worlds and the nuanced interactions that will shape the future of finance.
We explore the adoption of graph representation learning (GRL) algorithms to investigate similarities across services offered by Decentralized Finance (DeFi) protocols. Following existing literature, we use Ethereum transaction data to identify the DeFi building blocks. These are sets of protocol-specific smart contracts that are utilized in combination within single transactions and encapsulate the logic to conduct specific financial services such as swapping or lending cryptoassets. We propose a method to categorize these blocks into clusters based on their smart contract attributes and the graph structure of their smart contract calls. We employ GRL to create embedding vectors from building blocks and agglomerative models for clustering them. To evaluate whether they are effectively grouped in clusters of similar functionalities, we associate them with eight financial functionality categories and use this information as the target label. We find that in the best-case scenario purity reaches .888. We use additional information to associate the building blocks with protocol-specific target labels, obtaining comparable purity (.864) but higher V-Measure (.571); we discuss plausible explanations for this difference. In summary, this method helps categorize existing financial products offered by DeFi protocols, and can effectively automatize the detection of similar DeFi services, especially within protocols.