Uniswap and the Rise of the Decentralized Exchange

Lo, Yuen C; Medda, Francesca

doi:10.2139/ssrn.3715398

Cited by 16 publications

(8 citation statements)

References 32 publications

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“…Moreover, smart contracts platforms such as Ethereum [49] enable DApps and Decentralized Finance (DeFi) solutions offering financial instruments in a decentralized way without middlemen. DeFi solutions in the Fintech sector include decentralized exchanges [50], lending and borrowing [51], derivatives [52], and stable coins [53]. DeFi tools could be integrated into CI 4.0 to decentralize the traditional financial ecosystem of the industry and offer innovative solutions for funding, transacting, lending, borrowing, and trading tokenized assets.…”

Section: Project Lifecycle Data Classification For Bcdtsmentioning

confidence: 99%

Project Data Categorization, Adoption Factors, and Non-Functional Requirements for Blockchain Based Digital Twins in the Construction Industry 4.0

Teisserenc

Sepasgozar

2021

Buildings

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As key technologies of the fourth industrial revolution, blockchain and digital twins have great potential to enhance collaboration, data sharing, efficiency, and sustainability in the construction industry. Blockchain can improve data integrity and enhance trust in the data value chain throughout the entire lifecycle of projects. This paper aims to develop a novel theoretical framework for the adoption of environmentally sustainable blockchain-based digital twins (BCDT) for Construction Industry (CI) 4.0. The paper identifies which key data from construction projects lifecycle should be anchored in BCDTs to benefit CI 4.0 and the environment. The paper also identifies key factors and non-functional requirements necessary for the adoption of BCDTs in a decentralized and sustainable CI 4.0. At first, a content analysis of the literature allowed the identification of which data from projects lifecycle would benefit from blockchain technology (BCT) adoption and what the key factors and non-functional requirements necessary for the adoption of BCDT in the CI4.0 are. Furthermore, the analysis of structured interviews and online survey permitted to firstly validate the hypotheses raised from the literature and to offer a novel framework for BCDT of CI 4.0 in the context of the circular economy (CE). The findings are that (1) the key project lifecycle data relevant for BCDTs relate to the BIM dimensions (3D, 4D, 5D, 6D, 7D, and 8D) and a new dimension called the contractual dimension (cD) is also proposed. (2) Ecosystems of BCDTs should embrace a novel form of collaboration that is decentralized and presented as Level 4 maturity for BCDTs. This new level of maturity leverages distributed blockchain networks to enhance collaboration, processes automation with smart contracts, and data sharing within a decentralized data value chain. Finally (3), the main non-functional requirements for BCDTs are security, privacy, interoperability, data ownership, data integrity, and the decentralization and scalability of data storage. With the proposed framework including the BCDT dimensions, the Maturity Level 4, and the key non-functional requirements, this paper provides the building blocks for industry practitioners to adopt BCDTs. This is promising for CI 4.0 to embrace a paradigm shift towards decentralized ecosystems of united BCDTs where trust, collaboration, data sharing, information security, efficiency, and sustainability are improved throughout the lifecycle of projects and within a decentralized CE (DCE).

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Section: Project Lifecycle Data Classification For Bcdtsmentioning

confidence: 99%

Project Data Categorization, Adoption Factors, and Non-Functional Requirements for Blockchain Based Digital Twins in the Construction Industry 4.0

Teisserenc

Sepasgozar

2021

Buildings

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“…It is capable of searching every possible route of the listed tokens and finding the maximum profit route. The authors [39] introduced an automated market marker that aims to bridge the gap between on-chain transactions and trust-based decentralized exchanges by applying ARDL and VAR on Uniswap V2 exchange containing 154 days of Ether-Tether trading data. The model is robust and reserves the ratio of Ether and USDT, which moves towards the model equilibrium at 99.9% statistical significance.…”

Section: Publication Overviewmentioning

confidence: 99%

Promise of AI in Defi, A Literary Analysis

Sadman¹,

Rahman²,

Gupta³

2021

Preprint

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Decentralized Finance (DeFi) is an emerging and revolutionizing field with notable uncertainties of reliability to be used on a mass scale. On the other hand, Artificial Intelligence (AI) has proved to be a crucial helping tool in numerous domains. In this study, we present a systematic review of the utility of AI in Defi in terms of impact, reliability, and security and conduct exhaustive analysis. We further conclude from our extensive literature review that we can identify possible new research opportunities in AI to bridge the gap of trust between peers and make the integration of DeFi more agile in the near future.

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“…It is capable of searching every possible route of the listed tokens and finding the maximum profit route. [47] introduced an automated market marker that aims to bridge the gap between on-chain transactions and trust-based decentralized exchanges by applying ARDL and VAR on Uniswap V2 exchange containing 154 days of Ether-Tether trading data. The model is robust and reserves the ratio of Ether and USDT, which moves towards the model equilibrium at 99.9% statistical significance.…”

Section: Publication Overviewmentioning

confidence: 99%