【Author】 Almaqableh, Laith Wallace, Damien Pereira, Vijay Ramiah, Vikash Wood, Geoffrey Veron, Jose Francisco Moosa, Imad Watson, Alastair

【Source】INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

【影响因子】18.958

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】Following the rampant increase in Bitcoin prices, there has been a proliferation of cryptocurrencies, which have become a major way of doing business across national boundaries. This paper investigates the link between cryptocurrency markets and drug trafficking activities. More specifically, we explore the impact of the announcement of 24 major drug busts on the systematic risk and return of the world cryptocurrency market. We deploy an event study methodology to estimate the abnormal returns associated with drug trafficking activities in the cryptocurrency market. We find that the relationship between the two is quite strong in the case of some cryptocurrencies, albeit weaker in others. However, we show that drug bust news tends to create uncertainty, and accordingly impart risk into cryptocurrency markets. This study confirms the predictions of convenience theories of crime as to the relative attractiveness of cryptocurrencies to criminals, and the extent to which not only general, but also their own future interests, sacrificed readily on the altar of accessibility. We highlight how when social and regulatory foundations are weak, criminal behaviour may overwhelm virtual spaces, marginalizing more orthodox businesses, no matter how altruistic the intentions of their founders.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Drug bust; Cryptocurrency; Systematic risk; Abnormal returns

【发表时间】2023

【收录时间】2023-08-10

【文献类型】 实证数据

【DOI】 10.1016/j.ijinfomgt.2022.102488

【Author】 Zhang, Dingxuan Sun, Yuying Duan, Hongbo Hong, Yongmiao Wang, Shouyang

【Source】INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS

【影响因子】8.235

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】This paper proposes a novel two-stage VMD-based multi-scale regression to analyze various cryptocurrency at-tributes that are still unclear in the existing literature. In the first stage, Variational Mode Decomposition (VMD) is used to decompose the cryptocurrency prices into low, medium and high frequency modes with different attributes. In the second stage, the VMD-based multi-scale regression is proposed for these modes with selected explanatory variables. Using the proposed framework, we focus on analyzing the multiple attributes of daily Bitcoin price data as a case study. Empirical results indicate that the low-frequency mode has specific currency or long-term investment characteristics, unlike the short/medium-term investment attributes for the medium-frequency mode, while the high-frequency mode represents some speculation. Some events merely affect a single frequency mode, but others impact all frequency modes. The results of events analysis based on VMD could enhance the identification of the multiple attributes of Bitcoin. Our findings are insightful for future regulation and management of virtual currencies.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrency; Multiple attributes; Variational mode decomposition; Multi-scale regression

【发表时间】2023

【收录时间】2023-08-10

【文献类型】 实证数据

【DOI】 10.1016/j.irfa.2023.102700

【Author】 Yi, Eojin Yang, Biao Jeong, Minhyuk Sohn, Sungbin Ahn, Kwangwon

【Source】SCIENTIFIC REPORTS

【影响因子】4.996

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】This study examines whether the Bitcoin market satisfies the (weak-form) efficient market hypothesis using a quantum harmonic oscillator, which provides the state-specific probability density functions that capture the superimposed Gaussian and non-Gaussian states of the log return distribution. Contrasting the mixed evidence from a variance ratio test, the high probability allocated to the ground state suggests a near-efficient Bitcoin market. Findings imply that as Bitcoin evolves into an efficient market, speculators might encounter difficulty in exploiting profitable trading strategies. Furthermore, when policymakers initiate tight regulations to control the market, they should closely monitor market efficiency as an index of price distortion.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2023

【收录时间】2023-08-10

【文献类型】 实证数据

【DOI】 10.1038/s41598-023-31618-4

【Author】 Lee, Suhyeon Kim, Seungjoo

【Source】ICT EXPRESS

【影响因子】4.754

【主题类别】

区块链技术-核心技术-挖矿策略

【Abstract】Bitcoin's core security requires honest participants to control at least 51% of the total hash power. However, it has been shown that several techniques can exploit the fair mining in the Bitcoin network. This study focuses on selfish mining, which is based on the idea, "keeping blocks secret." Herein, we analyze selfish mining regarding competition between mining pools. We emphasize that mining-related information is shared between mining pools and participants. Based on shared information about selfish mining, we have developed an effective and practical counter strategy.& COPY; 2022 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Mining pool; Security analysis; Selfish mining; Proof-of-Work

【发表时间】2023

【收录时间】2023-08-10

【文献类型】 实证数据

【DOI】 10.1016/j.icte.2022.03.003

【Author】 Brenner, Garrett Baza, Mohamed Rasheed, Amar Lalouani, Wassila Badr, Mahmoud Alshahrani, Hani

【Source】JOURNAL OF GRID COMPUTING CCF-C

【影响因子】4.674

【主题类别】

区块链应用-实体经济-交通领域

【Abstract】With the advancement in IoT technology, its applications have been widely adopted in different domains to enable smart applications to facilitate users' lives. One aspect is the parking issue which has become a serious issue, especially in crowded cities due to a growing shortage of locations for operators to park their vehicles and a growing number of parking lots and facilities constructed to compensate. Meanwhile, homeowners and landowners leave vacant spaces that could be utilized by the enlarging population of motorists if they weren't on private property. In this paper, we propose a Decentralized Parking system, DPark, built on top of Blockchain technology. After spot owners register their spots' information on the Blockchain, drivers can explore owner-registered parking spots within their area that fit their needs in regard to availability, price, and location, and then book a desired spot for the price listed by the spot owner. Most importantly, all of these exchanges occur through Blockchain transactions. Blockchain provides transparency, security, and resistance to single-failure attacks. Spot owners are able to make profits from their unused space, drivers are able to find cheap and local parking, and the environment benefits from less construction of ordinary public and private parking solutions. DPark is then implemented on two different Blockchains, namely Ethereum and Hyperledger Fabric. Extensive simulations are conducted to evaluate the performance of DPark by considering the different transactions sent by drivers/spot owners at scale. Our results indicate that Hyperledger Fabric outperforms Ethereum in terms of latency and throughput, especially when the total number of transactions increases significantly. Hyperledger Fabric has demonstrated scalability up to 20,000 total transactions with high throughput of around 150 transactions per second and negligible latency. Ethereum had lower throughput of around 20 transactions per second while also exhibiting linear growth in latency relative to total transactions. Thus, these results highlight the benefit of choosing a permissioned Blockchain instead of a public Blockchain.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Smart private parking system; Security; Ethereum; Hyperledger fabric

【发表时间】2023

【收录时间】2023-08-10

【文献类型】 实验仿真

【DOI】 10.1007/s10723-023-09677-8

【Author】 Tomacheski, Clynton Milanes, Anolan Urrutia, Sebastian

【Source】INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH

【影响因子】3.610

【主题类别】

区块链治理-技术治理-异常/非法交易识别

【Abstract】This work considers a combinatorial optimization problem in graphs, the nilcatenation problem, and investigates its potential application for detecting money laundering activities in cryptocurrency networks. The nilcatenation problem consists of finding a set of arcs that can be removed from an arc-weighted directed graph without changing the balance of any vertex. The balance of a vertex is defined as the difference between the sum of the weights of outgoing and incoming arcs. We propose a 0/1 integer linear programming formulation and a local branching algorithm. The approaches are computationally evaluated and compared using three sets of test instances, two of them generated from Bitcoin's testnet and mainnet networks. An experiment on the testnet showed that it is possible to retrieve a nilcatenation artificially introduced with fake bitcoin transactions. Experiments on the mainnet showed that it is possible to find large nilcatenations, possibly indicating money laundering activities.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】nilcatenation; local branching; integer programming; cryptocurrency; Bitcoin; blockchain; money laundering

【发表时间】2023

【收录时间】2023-08-10

【文献类型】 实证数据

【DOI】 10.1111/itor.13353

【Author】 Hong, Hui Zhang, Cheng

【Source】INTERNATIONAL REVIEW OF ECONOMICS & FINANCE

【影响因子】3.399

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】Carbon dioxide emissions pose a severe threat to the global eco-system and human health, yet at the same time the exponential growth of Bitcoin trading, unsustainable mode of current economic development, and the low efficient energy usage have become burgeoning issues in emerging market economies. By applying advanced econometric techniques, this research empirically tests the dynamic impacts of Bitcoin trading, economic growth, and energy use on CO2 emissions in the top 20 Bitcoin-trading emerging market economies from 2013 to 2020, highlighting results on the existence of cross-section dependence, slope heterogeneity, and unit roots in the panel data. Moreover, Bitcoin trading, economic growth, and energy use have a significantly positive effect on CO2 emissions from a long-term perspective. Findings further show that CO2 emissions have a bi-causal correlation with all three determinants. Relevant implications are offered as follows. For academic researchers, cross-section dependence and slope heterogeneity are important considerations, and ignoring them would lead to significantly biased inferences. Emerging market governments should introduce eco-friendly technology for Bitcoin trading, modify the present extensive mode of economic growth, and guard against unsustainable energy consumption.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Bitcoin trading; Economic growth; Energy use; CO 2 emissions; Emerging market economies

【发表时间】2023

【收录时间】2023-08-10

【文献类型】 实证数据

【DOI】 10.1016/j.iref.2023.06.003

【Author】 Zhang, Shuyu Zhang, Dunli Zheng, Jianming Aerts, Walter Xu, Dandan

【Source】ACCOUNTING AND FINANCE

【影响因子】2.473

【主题类别】

区块链治理-市场治理-欺诈犯罪

【Abstract】In July 2020, the Chinese government warned that the Plus Token was a Ponzi scheme based on blockchain. More than 200 million investors were involved in this scam. We investigate how investors' search behaviour is associated with their decision making. We find that the bitcoin bag of words Baidu index is positively and significantly related to bitcoins transferred to Plus Token addresses, suggesting that public prominence of searches about bitcoin and blockchain tends to be related to investor decisions regarding the Plus Token project.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; cryptocurrency; Plus Token; Ponzi; search engine

【发表时间】2023

【收录时间】2023-08-10

【文献类型】 实证数据

【DOI】 10.1111/acfi.13128

【Author】 Wu, Gabriel Shui Tang Leung, Pak Ho

【Source】ECONOMICS LETTERS

【影响因子】1.469

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】This study shows empirically how Tether, the largest asset-backed stablecoins, magnifies the volatility spillover from crypto assets to money market instruments through its reserve adjustments. Our finding supports the need of strengthening the disclosure by and liquidity management of stablecoins.& COPY; 2023 Elsevier B.V. All rights reserved.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Crypto assets; Money market; Stablecoins; Spillover

【发表时间】2023

【收录时间】2023-08-10

【文献类型】 实证数据

【DOI】 10.1016/j.econlet.2023.111213