Crypto H1 2020 in Review
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Money Laundering Using Cryptocurrency: the Case of Bitcoin!
Athens Journal of Law - Volume 7, Issue 2, April 2021 – Pages 253-264 Money Laundering using Cryptocurrency: The Case of Bitcoin! By Gaspare Jucan Sicignano* The bitcoin, one of the most discussed topics in recent years, is a virtual currency with enormous potential and can be used almost immediately with no intervention from financial institutions. It has spread rapidly over the last few years, and all financial and governmental institutions have warned of the risk of its use for money laundering. The paper focuses on this aspect in order to understand if any purchases of bitcoins, using illicit money, can come under the anti-money laundering criminal law. Keywords: Bitcoin; Money laundering; Italian law; Cryptocurrency. Introduction The bitcoin1 is a virtual, decentralised and partially anonymous currency based on cryptography and peer-to-peer technology2. With bitcoins it is possible to buy any type of good or service securely and rapidly. Transactions need not be authorised by a central entity; rather, they are validated by all users of the platform. The system is totally secure, since it is practically impossible to hack the protocol3. Bitcoin has been much criticised over the last few years; it has quickly become public enemy number one for everything from financing terrorism to drug dealing to money laundering. It has also recently been said that bitcoin would pollute the planet due to the resources required for mining4. This paper will attempt to analyse in depth the relationship between the bitcoin and money laundering in Italian law. It will analyse the warnings issued by authorities in various sectors, as well as the opinions expressed in Italian legal literature regarding the possibility of committing money laundering and self- laundering crimes in various operations carried out using virtual currency. -
Retirement Strategy Fund 2060 Description Plan 3S DCP & JRA
Retirement Strategy Fund 2060 June 30, 2020 Note: Numbers may not always add up due to rounding. % Invested For Each Plan Description Plan 3s DCP & JRA ACTIVIA PROPERTIES INC REIT 0.0137% 0.0137% AEON REIT INVESTMENT CORP REIT 0.0195% 0.0195% ALEXANDER + BALDWIN INC REIT 0.0118% 0.0118% ALEXANDRIA REAL ESTATE EQUIT REIT USD.01 0.0585% 0.0585% ALLIANCEBERNSTEIN GOVT STIF SSC FUND 64BA AGIS 587 0.0329% 0.0329% ALLIED PROPERTIES REAL ESTAT REIT 0.0219% 0.0219% AMERICAN CAMPUS COMMUNITIES REIT USD.01 0.0277% 0.0277% AMERICAN HOMES 4 RENT A REIT USD.01 0.0396% 0.0396% AMERICOLD REALTY TRUST REIT USD.01 0.0427% 0.0427% ARMADA HOFFLER PROPERTIES IN REIT USD.01 0.0124% 0.0124% AROUNDTOWN SA COMMON STOCK EUR.01 0.0248% 0.0248% ASSURA PLC REIT GBP.1 0.0319% 0.0319% AUSTRALIAN DOLLAR 0.0061% 0.0061% AZRIELI GROUP LTD COMMON STOCK ILS.1 0.0101% 0.0101% BLUEROCK RESIDENTIAL GROWTH REIT USD.01 0.0102% 0.0102% BOSTON PROPERTIES INC REIT USD.01 0.0580% 0.0580% BRAZILIAN REAL 0.0000% 0.0000% BRIXMOR PROPERTY GROUP INC REIT USD.01 0.0418% 0.0418% CA IMMOBILIEN ANLAGEN AG COMMON STOCK 0.0191% 0.0191% CAMDEN PROPERTY TRUST REIT USD.01 0.0394% 0.0394% CANADIAN DOLLAR 0.0005% 0.0005% CAPITALAND COMMERCIAL TRUST REIT 0.0228% 0.0228% CIFI HOLDINGS GROUP CO LTD COMMON STOCK HKD.1 0.0105% 0.0105% CITY DEVELOPMENTS LTD COMMON STOCK 0.0129% 0.0129% CK ASSET HOLDINGS LTD COMMON STOCK HKD1.0 0.0378% 0.0378% COMFORIA RESIDENTIAL REIT IN REIT 0.0328% 0.0328% COUSINS PROPERTIES INC REIT USD1.0 0.0403% 0.0403% CUBESMART REIT USD.01 0.0359% 0.0359% DAIWA OFFICE INVESTMENT -
Is Bitcoin Really Untethered?
THE JOURNAL OF FINANCE • VOL. LXXV, NO. 4 • AUGUST 2020 Is Bitcoin Really Untethered? JOHN M. GRIFFIN and AMIN SHAMS∗ ABSTRACT This paper investigates whether Tether, a digital currency pegged to the U.S. dollar, influenced Bitcoin and other cryptocurrency prices during the 2017 boom. Using al- gorithms to analyze blockchain data, we find that purchases with Tether are timed following market downturns and result in sizable increases in Bitcoin prices. The flow is attributable to one entity, clusters below round prices, induces asymmetric auto- correlations in Bitcoin, and suggests insufficient Tether reserves before month-ends. Rather than demand from cash investors, these patterns are most consistent with the supply-based hypothesis of unbacked digital money inflating cryptocurrency prices. INNOVATION, EXCESSIVE SPECULATION, AND DUBIOUS behavior are often closely linked. Periods of extreme price increases followed by implosion, commonly known as “bubbles,” are often associated with legitimate inventions, technolo- gies, or opportunities. However, they can be carried to excess. In particu- lar, financial bubbles often coincide with the belief that a rapid gain can be ∗John M. Griffin is at the McCombs School of Business, University of Texas at Austin. Amin Shams is at the Fisher College of Business, Ohio State University. Helpful comments were received from Stefan Nagel (the editor); an associate editor; two anonymous referees; Cesare Fracassi; Sam Kruger; Shaun MaGruder; Gregor Matvos; Nikolai Roussanov; Clemens Sialm; and seminar and conference -
Does the Hashrate Affect the Bitcoin Price?
Journal of Risk and Financial Management Article Does the Hashrate Affect the Bitcoin Price? Dean Fantazzini 1,* and Nikita Kolodin 2 1 Moscow School of Economics, Moscow State University, Leninskie Gory, 1, Building 61, Moscow 119992, Russia 2 Higher School of Economics, Moscow 109028, Russia; [email protected] * Correspondence: [email protected]; Tel.: +7-4955105267; Fax: +7-4955105256 Received: 30 September 2020; Accepted: 27 October 2020; Published: 30 October 2020 Abstract: This paper investigates the relationship between the bitcoin price and the hashrate by disentangling the effects of the energy efficiency of the bitcoin mining equipment, bitcoin halving, and of structural breaks on the price dynamics. For this purpose, we propose a methodology based on exponential smoothing to model the dynamics of the Bitcoin network energy efficiency. We consider either directly the hashrate or the bitcoin cost-of-production model (CPM) as a proxy for the hashrate, to take any nonlinearity into account. In the first examined subsample (01/08/2016–04/12/2017), the hashrate and the CPMs were never significant, while a significant cointegration relationship was found in the second subsample (11/12/2017–24/02/2020). The empirical evidence shows that it is better to consider the hashrate directly rather than its proxy represented by the CPM when modeling its relationship with the bitcoin price. Moreover, the causality is always unidirectional going from the bitcoin price to the hashrate (or its proxies), with lags ranging from one week up to six weeks later. These findings are consistent with a large literature in energy economics, which showed that oil and gas returns affect the purchase of the drilling rigs with a delay of up to three months, whereas the impact of changes in the rig count on oil and gas returns is limited or not significant. -
Swiss Asset Management Study 2020 an Overview of Swiss Asset Management
1 Inhaltsverzeichnis Inhaltsverzeichnis Swiss Asset Management Study 2020 An Overview of Swiss Asset Management Editors Jürg Fausch, Thomas Ankenbrand Institute of Financial Services Zug IFZ www.hslu.ch/ifz 1 Table of Contents Swiss Asset Management Study 2020 Table of Contents Preface 2 Executive Summary 3 1. Definition & Framework of Asset Management 5 2. The Swiss Asset Management Environment 12 3. Asset Management – An International Perspective 39 4. Asset Management Companies in Switzerland 47 5. Active versus Passive Investing – A Differentiated View on a Heated Debate 69 6. Conclusion & Outlook 77 7. Factsheets of Asset Management Companies in Switzerland 78 Authors 108 References 109 Appendix 120 2 Swiss Asset Management Study 2020 Preface The asset management industry is a growing segment of the Swiss financial center and offers a differentiating value proposition relative to private banking and wealth management. The strong expertise in asset manage- ment is highly relevant for Switzerland since it helps to diversify and complete the Swiss financial center. In this regard, the Asset Management Association Switzerland has the goal to further establish Switzerland as a leading provider of high quality asset management services and products domestically and abroad. In this context, the following study provides a comprehensive overview of the current status and various develop- ments in the Swiss asset management industry and consists of two parts. The first part starts with Chapter 1 in which a definition of asset management is provided and the methodological framework of the study is outlined. Chapter 2 gives an overview of the environment and discusses the political/legal, economic, social and technolog- ical developments relevant for the asset management industry. -
A Cryptocurrency Spectrum Short Analysis
Journal of Risk and Financial Management Review A Cryptocurrency Spectrum Short Analysis 1 2 3 Mircea Constantin S, cheau , Simona Liliana Crăciunescu , Iulia Brici and Monica Violeta Achim 3,* 1 Faculty of Automation, Computers and Electronics, University of Craiova, 200585 Craiova, Romania; [email protected] 2 Simona Liliana Crăciunescu, The Bucharest University of Economic Studies, 010374 Bucharest, Romania; [email protected] 3 Faculty of Economics and Business Administration, Babes, -Bolyai University, 400591 Cluj-Napoca, Romania; [email protected] * Correspondence: [email protected] Received: 30 June 2020; Accepted: 11 August 2020; Published: 17 August 2020 Abstract: Technological development brings about economic changes that affect most citizens, both in developed and undeveloped countries. The implementation of blockchain technologies that bring cryptocurrencies into the economy and everyday life also induce risks. Authorities are continuously concerned about ensuring balance, which is, among other things, a prudent attitude. Achieving this goal sometimes requires the development of standards and regulations applicable at the national or global level. This paper attempts to dive deeper into the worldwide operations, related to cryptocurrencies, as part of a general phenomenon, and also expose some of the intersections with cybercrime. Without impeding creativity, implementing suggested proposals must comply with the rules in effect and provide sufficient flexibility for adapting and integrating them. Different segments need to align or reposition, as alteration is only allowed in a positive way. Adopting cryptocurrency decisions should be unitary, based on standard policies. Keywords: cryptocurrencies; fraud; algorithms; correlations; impact; risks; regulation; blockchain 1. Introduction In the area of influence of computer science, the terms undergo rapid mutations, both in sense and interpretability. -
The Bitcoin Trading Ecosystem
ArcaneReport(PrintReady).qxp 21/07/2021 14:43 Page 1 THE INSTITUTIONAL CRYPTO CURRENCY EXCHANGE INSIDE FRONT COVER: BLANK ArcaneReport(PrintReady).qxp 21/07/2021 14:43 Page 3 The Bitcoin Trading Ecosystem Arcane Research LMAX Digital Arcane Research is a part of Arcane Crypto, bringing LMAX Digital is the leading institutional spot data-driven analysis and research to the cryptocurrency exchange, run by the LMAX Group, cryptocurrency space. After launch in August 2019, which also operates several leading FCA regulated Arcane Research has become a trusted brand, trading venues for FX, metals and indices. Based on helping clients strengthen their credibility and proven, proprietary technology from LMAX Group, visibility through research reports and analysis. In LMAX Digital allows global institutions to acquire, addition, we regularly publish reports, weekly market trade and hold the most liquid digital assets, Bitcoin, updates and articles to educate and share insights. Ethereum, Litecoin, Bitcoin Cash and XRP, safely and securely. Arcane Crypto develops and invests in projects, focusing on bitcoin and digital assets. Arcane Trading with all the largest institutions globally, operates a portfolio of businesses, spanning the LMAX Digital is a primary price discovery venue, value chain for digital nance. As a group, Arcane streaming real-time market data to the industry’s deliver services targeting payments, investment, and leading indices and analytics platforms, enhancing trading, in addition to a media and research leg. the quality of market information available to investors and enabling a credible overview of the Arcane has the ambition to become a leading player spot crypto currency market. in the digital assets space by growing the existing businesses, invest in cutting edge projects, and LMAX Digital is regulated by the Gibraltar Financial through acquisitions and consolidation. -
Bitcoin and Cryptocurrencies Law Enforcement Investigative Guide
2018-46528652 Regional Organized Crime Information Center Special Research Report Bitcoin and Cryptocurrencies Law Enforcement Investigative Guide Ref # 8091-4ee9-ae43-3d3759fc46fb 2018-46528652 Regional Organized Crime Information Center Special Research Report Bitcoin and Cryptocurrencies Law Enforcement Investigative Guide verybody’s heard about Bitcoin by now. How the value of this new virtual currency wildly swings with the latest industry news or even rumors. Criminals use Bitcoin for money laundering and other Enefarious activities because they think it can’t be traced and can be used with anonymity. How speculators are making millions dealing in this trend or fad that seems more like fanciful digital technology than real paper money or currency. Some critics call Bitcoin a scam in and of itself, a new high-tech vehicle for bilking the masses. But what are the facts? What exactly is Bitcoin and how is it regulated? How can criminal investigators track its usage and use transactions as evidence of money laundering or other financial crimes? Is Bitcoin itself fraudulent? Ref # 8091-4ee9-ae43-3d3759fc46fb 2018-46528652 Bitcoin Basics Law Enforcement Needs to Know About Cryptocurrencies aw enforcement will need to gain at least a basic Bitcoins was determined by its creator (a person Lunderstanding of cyptocurrencies because or entity known only as Satoshi Nakamoto) and criminals are using cryptocurrencies to launder money is controlled by its inherent formula or algorithm. and make transactions contrary to law, many of them The total possible number of Bitcoins is 21 million, believing that cryptocurrencies cannot be tracked or estimated to be reached in the year 2140. -
List of British Entities That Are No Longer Authorised to Provide Services in Spain As from 1 January 2021
LIST OF BRITISH ENTITIES THAT ARE NO LONGER AUTHORISED TO PROVIDE SERVICES IN SPAIN AS FROM 1 JANUARY 2021 Below is the list of entities and collective investment schemes that are no longer authorised to provide services in Spain as from 1 January 20211 grouped into five categories: Collective Investment Schemes domiciled in the United Kingdom and marketed in Spain Collective Investment Schemes domiciled in the European Union, managed by UK management companies, and marketed in Spain Entities operating from the United Kingdom under the freedom to provide services regime UK entities operating through a branch in Spain UK entities operating through an agent in Spain ---------------------- The list of entities shown below is for information purposes only and includes a non- exhaustive list of entities that are no longer authorised to provide services in accordance with this document. To ascertain whether or not an entity is authorised, consult the "Registration files” section of the CNMV website. 1 Article 13(3) of Spanish Royal Decree-Law 38/2020: "The authorisation or registration initially granted by the competent UK authority to the entities referred to in subparagraph 1 will remain valid on a provisional basis, until 30 June 2021, in order to carry on the necessary activities for an orderly termination or transfer of the contracts, concluded prior to 1 January 2021, to entities duly authorised to provide financial services in Spain, under the contractual terms and conditions envisaged”. List of entities and collective investment -
Transparent and Collaborative Proof-Of-Work Consensus
StrongChain: Transparent and Collaborative Proof-of-Work Consensus Pawel Szalachowski, Daniël Reijsbergen, and Ivan Homoliak, Singapore University of Technology and Design (SUTD); Siwei Sun, Institute of Information Engineering and DCS Center, Chinese Academy of Sciences https://www.usenix.org/conference/usenixsecurity19/presentation/szalachowski This paper is included in the Proceedings of the 28th USENIX Security Symposium. August 14–16, 2019 • Santa Clara, CA, USA 978-1-939133-06-9 Open access to the Proceedings of the 28th USENIX Security Symposium is sponsored by USENIX. StrongChain: Transparent and Collaborative Proof-of-Work Consensus Pawel Szalachowski1 Daniel¨ Reijsbergen1 Ivan Homoliak1 Siwei Sun2;∗ 1Singapore University of Technology and Design (SUTD) 2Institute of Information Engineering and DCS Center, Chinese Academy of Sciences Abstract a cryptographically-protected append-only list [2] is intro- duced. This list consists of transactions grouped into blocks Bitcoin is the most successful cryptocurrency so far. This and is usually referred to as a blockchain. Every active pro- is mainly due to its novel consensus algorithm, which is tocol participant (called a miner) collects transactions sent based on proof-of-work combined with a cryptographically- by users and tries to solve a computationally-hard puzzle in protected data structure and a rewarding scheme that incen- order to be able to write to the blockchain (the process of tivizes nodes to participate. However, despite its unprece- solving the puzzle is called mining). When a valid solution dented success Bitcoin suffers from many inefficiencies. For is found, it is disseminated along with the transactions that instance, Bitcoin’s consensus mechanism has been proved to the miner wishes to append. -
Regulating Storage Overhead in Existing Pow-Based Blockchains
Regulating Storage Overhead in Existing PoW-based Blockchains Frederik Armknecht Jens-Matthias Bohli* University of Mannheim Mannheim University of Applied Sciences Germany Germany [email protected] [email protected] Ghassan O. Karame Wenting Li NEC Laboratories Europe NEC Laboratories Europe Germany Germany [email protected] [email protected] ABSTRACT so far. This resulted in a sharp variance in the number of Proof of Work (PoW) blockchains regulate the frequency and blockchain replicas over time. Namely, during the early years security of extensions to the blockchain in a decentralized of PoW blockchains, every miner was also a \full-node" and manner by adjusting the difficulty in the network. However, stored a full copy of the blockchain. As a result, the blockchain analogous decentralized measures to regulate the replica- witnessed an unprecedented level of replication (>200,000 tion level of the associated transactions and blocks data are replica) until early 2014 [14, 15]. Nowadays, the current completely missing so far. We argue that such measures are difficulty level of PoW mining is prohibitively high enough required as well. On the one hand, the smaller the number that miners do not have incentives to operate solo. Instead, of replicas, the higher the vulnerability of the system against joining a mining pool emerges as an attractive option for compromises and DoS-attacks. On the other hand, the larger miners to receive a portion of the block reward on a consistent the number of replicas, the higher the storage overhead, and basis. Here, workers do not connect directly to the blockchain; the higher the operational blockchain cost are. -
Exploring the Interconnectedness of Cryptocurrencies Using Correlation Networks
Exploring the Interconnectedness of Cryptocurrencies using Correlation Networks Andrew Burnie UCL Computer Science Doctoral Student at The Alan Turing Institute [email protected] Conference Paper presented at The Cryptocurrency Research Conference 2018, 24 May 2018, Anglia Ruskin University Lord Ashcroft International Business School Centre for Financial Research, Cambridge, UK. Abstract Correlation networks were used to detect characteristics which, although fixed over time, have an important influence on the evolution of prices over time. Potentially important features were identified using the websites and whitepapers of cryptocurrencies with the largest userbases. These were assessed using two datasets to enhance robustness: one with fourteen cryptocurrencies beginning from 9 November 2017, and a subset with nine cryptocurrencies starting 9 September 2016, both ending 6 March 2018. Separately analysing the subset of cryptocurrencies raised the number of data points from 115 to 537, and improved robustness to changes in relationships over time. Excluding USD Tether, the results showed a positive association between different cryptocurrencies that was statistically significant. Robust, strong positive associations were observed for six cryptocurrencies where one was a fork of the other; Bitcoin / Bitcoin Cash was an exception. There was evidence for the existence of a group of cryptocurrencies particularly associated with Cardano, and a separate group correlated with Ethereum. The data was not consistent with a token’s functionality or creation mechanism being the dominant determinants of the evolution of prices over time but did suggest that factors other than speculation contributed to the price. Keywords: Correlation Networks; Interconnectedness; Contagion; Speculation 1 1. Introduction The year 2017 saw the start of a rapid diversification in cryptocurrencies.