Aspetti economici e regolamentari delle «cripto-attività» (Economic and Regulatory Aspects of Crypto-Assets)

Gola, Carlo; Caponera, Andrea

doi:10.2139/ssrn.3432976

Cited by 6 publications

(7 citation statements)

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“…12 This paper does not cover an analysis of risks and policy implications associated with crypto-assets such as Bitcoin, but only the environmental impact of the underlying DLT. For an overview of policy issues of crypto-assets, see: Gola, C., and Caponera, A. (2019); on recent market developments, see IMF -GFSR (2021).…”

Section: Dlt and Consensus Mechanismsmentioning

confidence: 99%

“…79 See: Basel Committee on Banking Supervision (2021). 80 For a more granular taxonomy of crypto-assets and related accounting and prudential standards, see: Gola & Caponera (2019). 81 Tokenized traditional assets must be digital representations of traditional assets using cryptography, DLT or similar technology rather than recording ownership through the account of a central securities depository (CSD) or custodian.…”

Section: Dlt Environmental Policiesmentioning

confidence: 99%

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Addressing the Sustainability of Distributed Ledger Technology

Gola

Sedlmeir

2022

SSRN Journal

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Section: Dlt and Consensus Mechanismsmentioning

confidence: 99%

Section: Dlt Environmental Policiesmentioning

confidence: 99%

Addressing the Sustainability of Distributed Ledger Technology

Gola

Sedlmeir

2022

SSRN Journal

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“…Mixers are noncustodial cryptocurrency wallets with the additional function of “mixing” cryptocurrency to conceal the exact origin. A crypto wallet is a service that stores and safeguards cryptocurrency on behalf of customers (Gola et al , 2019). In September 2021, there were at least 84 wallets that differed in functionalities and fees (CryptoWisser, 2021).…”

Section: Stylized Facts Of Cryptolaundering Techniquesmentioning

confidence: 99%

The comparative analysis of regulations in the Italian Republic and the Russian Federation against cryptolaundering techniques

Bahamazava

Reznik²

2022

JMLC

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Purpose In the age of DarkNetMarkets proliferation, combatting money laundering has become even more complicated. Constantly evolving technologies add a new layer of difficulty to already intricated schemes of hiding the cryptocurrency’s origin. Considering the latest development of cryptocurrency- and blockchain-related use cases, this study aims to scrutinize Italian and Russian antimoney laundering regulations to understand their preparedness for a new era of laundering possibilities. Design/methodology/approach One of the most recommended ways to buy and sell cryptocurrencies for illegal drug trade on DarkNet was discovered using machine learning, i.e. natural language processing and topic modeling. This study compares how current Italian and Russian laws address this technique. Findings Despite differences in cryptocurrency regulation, both the Italian Republic and the Russian Federation fall behind on preventing cryptolaundering. Originality/value The main contributions of this paper: consideration of noncustodial wallet projects and nonfungible token platforms through the lens of money laundering opportunities, comparison of Italian and Russian antimoney laundering regulations related to cryptocurrency, empirical analysis of the preferred method of trading/exchanging cryptocurrency for DarkNet illegal trade using machine learning techniques and the assessment of how Italian and Russian regulations address these money laundering methods.

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“…As first large-scale applications of crypto-tokens embraced the financial sector, most legal actions and reports largely focus on the latter. There are reports from European Institutions, the European Supervisory Authorities [8,9], the Financial Stability Board [12], the UK Financial Conduct Authority [11,15] and other institutions, as well as contracted private and academic stakeholders [13,19]. Most detailed analyses of crypto-assets are performed to determine the applicability of financial services law 9 .…”

Section: Tokensmentioning

confidence: 99%