Cryptocurrencies and Blockchain
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Peer Co-Movement in Crypto Markets
Peer Co-Movement in Crypto Markets G. Schwenkler and H. Zheng∗ February 4, 2021y Abstract We show that peer linkages induce significant price co-movement in crypto markets in excess of common risk factors and correlated demand shocks. When large abnormal return shocks hit one crypto, its peers experience unusually large abnormal returns of the opposite sign. These effects are primarily concentrated among smaller peers and revert after several weeks, resulting in predictable returns. We develop trading strategies that exploit this rever- sal, and show that they are profitable even after accounting for trading fees and frictions. We establish our results by identifying crypto peers through co-mentions in online news using novel natural language processing technologies. Keywords: Cryptocurrencies, peers, co-movement, competition, natural language pro- cessing. JEL codes: G12, G14, C82. ∗Schwenkler is at the Department of Finance, Santa Clara University Leavey School of Business. Zheng is at the Department of Finance, Boston University Questrom School of Business. Schwenkler is corresponding author. Email: [email protected], web: http://www.gustavo-schwenkler.com. yThis is a revision of a previous paper by the two authors called \Competition or Contagion: Evidence from Cryptocurrency Markets." We are grateful to Jawad Addoum (discussant), Daniele Bianchi (discussant), Will Cong, Tony Cookson, Sanjiv Das, Seoyoung Kim, Andreas Neuhierl, Farzad Saidi, and Antoinette Schoar, seminar participants at Boston University and the Society for Financial Econometrics, and the participants at the 2020 Finance in the Cloud III Virtual Conference, the 2020 MFA Annual Meeting, the 3rd UWA Blockchain, Cryptocurrency and FinTech Conference, and the 2020 INFORMS Annual Meeting for useful comments and suggestions. -
CRYPTONAIRE WEEKLY CRYPTO Investment Journal
CRYPTONAIRE WEEKLY CRYPTO investment journal CONTENTS WEEKLY CRYPTOCURRENCY MARKET ANALYSIS...............................................................................................................5 TOP 10 COINS ........................................................................................................................................................................................6 Top 10 Coins by Total Market Capitalisation ...................................................................................................................6 Top 10 Coins by Percentage Gain (Past 7 Days)...........................................................................................................6 Top 10 Coins added to Exchanges with the Highest Market Capitalisation (Past 30 Days) ..........................7 CRYPTO TRADE OPPORTUNITIES ...............................................................................................................................................9 PRESS RELEASE..................................................................................................................................................................................14 ZUMO BRINGS ITS CRYPTOCURRENCY WALLET TO THE PLATINUM CRYPTO ACADEMY..........................14 INTRODUCTION TO TICAN – MULTI-GATEWAY PAYMENT SYSTEM ......................................................................17 ADVERTISE WITH US........................................................................................................................................................................19 -
CRYPTOCURRENCY: a PRIMER Accept Bitcoin3—Including Amazon.Com, What Is Cryptocurrency? Target, Paypal, Ebay, Dell, and Home
CRYPTOCURRENCY: A PRIMER accept bitcoin3—including Amazon.com, What is cryptocurrency? Target, PayPal, eBay, Dell, and Home Depot—with anywhere from 80,000 to There is no one standard definition of 220,000 transactions occurring per day, cryptocurrency.1 At the most basic level representing over $50 million in estimated cryptocurrency—or digital currency or daily volume.4 virtual currency—is a medium of exchange that functions like money (in Cryptocurrencies allow for increased that it can be exchanged for goods and market efficiencies and reduced services) but, unlike traditional currency, transaction costs. At base, is untethered to, and independent from, cryptocurrency transactions are: national borders, central banks, sovereigns, or fiats. In other words, it . Private—no personal information is exists completely in the virtual world, required to complete a transaction;5 traded on multiple global platforms. These currencies are designed to . Fast—they are settled almost incorporate and exchange digital instantaneously, unlike credit card information through a process made transactions or wire transfers that possible by principles of cryptography, require days; which makes transactions secure and . Irrevocable—because transactions are verifiable. The most well-known settled almost immediately, there are cryptocurrency is bitcoin, which was no resulting chargebacks or possibility created back in 2009 and which still for disputes between buyer and seller; dominates the virtual currency market today.2 . Inexpensive—transaction costs are generally less than 1% if an intermediary is used, rather than the Why do they matter? customary credit card processing fee of roughly 2.5%; and Cryptocurrency is relevant to most . Global—neither buyer nor seller businesses and financial firms. -
Virtual Currencies and Terrorist Financing : Assessing the Risks And
DIRECTORATE GENERAL FOR INTERNAL POLICIES POLICY DEPARTMENT FOR CITIZENS' RIGHTS AND CONSTITUTIONAL AFFAIRS COUNTER-TERRORISM Virtual currencies and terrorist financing: assessing the risks and evaluating responses STUDY Abstract This study, commissioned by the European Parliament’s Policy Department for Citizens’ Rights and Constitutional Affairs at the request of the TERR Committee, explores the terrorist financing (TF) risks of virtual currencies (VCs), including cryptocurrencies such as Bitcoin. It describes the features of VCs that present TF risks, and reviews the open source literature on terrorist use of virtual currencies to understand the current state and likely future manifestation of the risk. It then reviews the regulatory and law enforcement response in the EU and beyond, assessing the effectiveness of measures taken to date. Finally, it provides recommendations for EU policymakers and other relevant stakeholders for ensuring the TF risks of VCs are adequately mitigated. PE 604.970 EN ABOUT THE PUBLICATION This research paper was requested by the European Parliament's Special Committee on Terrorism and was commissioned, overseen and published by the Policy Department for Citizens’ Rights and Constitutional Affairs. Policy Departments provide independent expertise, both in-house and externally, to support European Parliament committees and other parliamentary bodies in shaping legislation and exercising democratic scrutiny over EU external and internal policies. To contact the Policy Department for Citizens’ Rights and Constitutional Affairs or to subscribe to its newsletter please write to: [email protected] RESPONSIBLE RESEARCH ADMINISTRATOR Kristiina MILT Policy Department for Citizens' Rights and Constitutional Affairs European Parliament B-1047 Brussels E-mail: [email protected] AUTHORS Tom KEATINGE, Director of the Centre for Financial Crime and Security Studies, Royal United Services Institute (coordinator) David CARLISLE, Centre for Financial Crime and Security Studies, Royal United Services Institute, etc. -
Blockchain – Operator Opportunities Version 1.0 July 2018
Blockchain – Operator Opportunities Version 1.0 July 2018 About the GSMA The GSMA represents the interests of mobile operators worldwide, uniting more than 750 operators with over 350 companies in the broader mobile ecosystem, including handset and device makers, software companies, equipment providers and internet companies, as well as organisations in adjacent industry sectors. The GSMA also produces the industry-leading MWC events held annually in Barcelona, Los Angeles and Shanghai, as well as the Mobile 360 Series of regional conferences. For more information, please visit the GSMA corporate website at www.gsma.com. Follow the GSMA on Twitter: @GSMA. About the GSMA Internet Group The GSMA Internet Group (IG) is the key working group which researches, analyses and measures the potential opportunities and impacts of new web and internet technologies on mobile operator networks and platforms. We maintain the most up-to-date knowledge base of new internet and web innovations through intelligence gathering of available global research and active participation in key Standards organisations. www.gsma.com/workinggroups Authors: Peter Ajn Vanleeuwen, KPN Douwe van de Ruit, KPN Contributors: Dan Druta, AT&T Axel Nennker, Deutsche Telecom Shamit Bhat, GSMA Rinze Cats, KPN Kaissar Jabr, Monty Holding Page 2 of 36 Table of Contents Blockchain – Operator Opportunities ............................................................................ 1 Version 1.0 ............................................................................................................................... -
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. -
Detecting Roles of Money Laundering in Bitcoin Mixing Transactions: a Goal Modeling and Mining Framework
ORIGINAL RESEARCH published: 06 July 2021 doi: 10.3389/fphy.2021.665399 Detecting Roles of Money Laundering in Bitcoin Mixing Transactions: A Goal Modeling and Mining Framework Mingdong Liu 1, Hu Chen 2 and Jiaqi Yan 3* 1School of Economics and Management, Southeast University, Nanjing, China, 2School of Software Engineering, South China University of Technology, Guangzhou, China, 3School of Information Management, Nanjing University, Nanjing, China Cryptocurrency has become a new venue for money laundering. Bitcoin mixing services deliberately obfuscate the relationship between senders and recipients, making it difficult to trace suspicious money flow. We believe that the key to demystifying the bitcoin mixing services is to discover agents’ roles in the money laundering process. We propose a goal- oriented approach to modeling, discovering, and analyzing different types of roles in the agent-based business process of the bitcoin mixing scenario using historical bitcoin transaction data. It adopts the agents’ goal perspective to study the roles in the bitcoin money laundering process. Moreover, it provides a foundation to discover real- world agents’ roles in bitcoin money laundering scenarios. Edited by: Keywords: goal modeling, money laundering, bitcoin mixing transactions, data analysis, agents’ roles Xiao Fan Liu, City University of Hong Kong, SAR China INTRODUCTION Reviewed by: Daning Hu, Financial crimes not only directly disturb the national financial order and affect social stability Southern University of Science and but also occur with other crimes to provide financial support for various types of organized Technology, China fi Hong-Liang Sun, crimes. Money laundering is a nancial criminal activity, which mainly refers to the processing Nanjing University of Finance and of illegal income by various means to cover up and conceal its source and nature. -
Beauty Is Not in the Eye of the Beholder
Insight Consumer and Wealth Management Digital Assets: Beauty Is Not in the Eye of the Beholder Parsing the Beauty from the Beast. Investment Strategy Group | June 2021 Sharmin Mossavar-Rahmani Chief Investment Officer Investment Strategy Group Goldman Sachs The co-authors give special thanks to: Farshid Asl Managing Director Matheus Dibo Shahz Khatri Vice President Vice President Brett Nelson Managing Director Michael Murdoch Vice President Jakub Duda Shep Moore-Berg Harm Zebregs Vice President Vice President Vice President Shivani Gupta Analyst Oussama Fatri Yousra Zerouali Vice President Analyst ISG material represents the views of ISG in Consumer and Wealth Management (“CWM”) of GS. It is not financial research or a product of GS Global Investment Research (“GIR”) and may vary significantly from those expressed by individual portfolio management teams within CWM, or other groups at Goldman Sachs. 2021 INSIGHT Dear Clients, There has been enormous change in the world of cryptocurrencies and blockchain technology since we first wrote about it in 2017. The number of cryptocurrencies has increased from about 2,000, with a market capitalization of over $200 billion in late 2017, to over 8,000, with a market capitalization of about $1.6 trillion. For context, the market capitalization of global equities is about $110 trillion, that of the S&P 500 stocks is $35 trillion and that of US Treasuries is $22 trillion. Reported trading volume in cryptocurrencies, as represented by the two largest cryptocurrencies by market capitalization, has increased sixfold, from an estimated $6.8 billion per day in late 2017 to $48.6 billion per day in May 2021.1 This data is based on what is called “clean data” from Coin Metrics; the total reported trading volume is significantly higher, but much of it is artificially inflated.2,3 For context, trading volume on US equity exchanges doubled over the same period. -
On the Relationship of Cryptocurrency Price with US Stock and Gold Price Using Copula Models
mathematics Article On the Relationship of Cryptocurrency Price with US Stock and Gold Price Using Copula Models Jong-Min Kim 1 , Seong-Tae Kim 2 and Sangjin Kim 3,* 1 Statistics Discipline, University of Minnesota at Morris, Morris, MN 56267, USA; [email protected] 2 Department of Mathematics, North Carolina A&T State University, Greensboro, NC 27411, USA; [email protected] 3 Department of Management and Information Systems, Dong-A University, Busan 49236, Korea * Correspondence: [email protected] Received: 15 September 2020; Accepted: 20 October 2020; Published: 23 October 2020 Abstract: This paper examines the relationship of the leading financial assets, Bitcoin, Gold, and S&P 500 with GARCH-Dynamic Conditional Correlation (DCC), Nonlinear Asymmetric GARCH DCC (NA-DCC), Gaussian copula-based GARCH-DCC (GC-DCC), and Gaussian copula-based Nonlinear Asymmetric-DCC (GCNA-DCC). Under the high volatility financial situation such as the COVID-19 pandemic occurrence, there exist a computation difficulty to use the traditional DCC method to the selected cryptocurrencies. To solve this limitation, GC-DCC and GCNA-DCC are applied to investigate the time-varying relationship among Bitcoin, Gold, and S&P 500. In terms of log-likelihood, we show that GC-DCC and GCNA-DCC are better models than DCC and NA-DCC to show relationship of Bitcoin with Gold and S&P 500. We also consider the relationships among time-varying conditional correlation with Bitcoin volatility, and S&P 500 volatility by a Gaussian Copula Marginal Regression (GCMR) model. The empirical findings show that S&P 500 and Gold price are statistically significant to Bitcoin in terms of log-return and volatility. -
Optimal Execution in Cryptocurrency Markets
Claremont Colleges Scholarship @ Claremont CMC Senior Theses CMC Student Scholarship 2020 Optimal Execution in Cryptocurrency Markets Ethan Kurz Follow this and additional works at: https://scholarship.claremont.edu/cmc_theses Part of the Finance Commons, and the Mathematics Commons Recommended Citation Kurz, Ethan, "Optimal Execution in Cryptocurrency Markets" (2020). CMC Senior Theses. 2387. https://scholarship.claremont.edu/cmc_theses/2387 This Open Access Senior Thesis is brought to you by Scholarship@Claremont. It has been accepted for inclusion in this collection by an authorized administrator. For more information, please contact [email protected]. Claremont McKenna College Optimal Execution in Cryptocurrency Markets submitted to Professor Benjamin Gillen and Professor Chiu-Yen Kao written by Ethan Kurz Senior Thesis Spring 2020 May 11, 2020 Acknowledgements I would like to thank my family and friends for keeping my spirits up and being a great support system. I would also like to extend my deepest gratitude towards my thesis readers, Professor Benjamin Gillen and Professor Chiu-Yen Kao for their patience and thoughtful guidance throughout this process. Contents 1 Abstract 1 2 Introduction 2 3 Literature Review 6 3.1 Stock Market Microstructure . .6 3.2 Cryptocurrency Market Microstructure . .8 3.3 Microstructure in Almgren-Chriss . 11 4 Almgren-Chriss model 14 4.1 The “Efficient Frontier" . 14 4.2 Optimal Strategies . 14 4.3 Comparative Statics . 15 4.4 NYSE Stock Parameters and Models . 18 5 Empirical Analysis of Cryptocurrency Markets 23 5.1 Choosing Parameters and Modeling . 23 5.2 Comparison of the Markets . 25 5.2.1 Consumer Value Provided by Coinbase . -
IFRS: Accounting for Crypto-Assets
IFRS (#) Accounting for crypto-assets Contents 1. Introduction 1 2. What are crypto-assets? 2 2.1. Cryptocurrencies 3 2.2. Tokens (crypto-assets other than cryptocurrencies) 5 3. Accounting for crypto-assets 10 3.1. Selected activities of standard setters 10 3.2. Special situations 13 3.3. Conclusion 15 4. Supporting details 16 5. Contacts 21 1 Introduction Crypto-assets experienced a breakout year in 2017. Cryptocurrencies, such as bitcoin and ether, have seen their prices surge as the public’s YoYj]f]kk`Ykaf[j]Yk]\$Yf\ÕfYf[aYdeYjc]lhYjla[ahYflk`Yn]l`mk af[j]Ykaf_dqlmjf]\l`]ajYll]flagflgl`]h`]fge]fgf&KaemdlYf]gmkdq$ a wave of new crypto-asset issuance has been sweeping the start-up fundraising world, sparking the interest of regulators in the process. 9[[gmflYflk`Yn]l`mk^YjZ]]ffglYZd]Zql`]ajj]dYlan]YZk]f[]^jge l`YlfYjjYlan]&H]j`Yhk$egklfglYZd]akl`]^Y[ll`Yll`]9mkljYdaYf 9[[gmflaf_KlYf\Yj\k:gYj\ 99K:!`YkkmZeall]\Y\ak[mkkagfhYh]j gfÉ\a_alYd[mjj]f[a]kÊlgl`]Afl]jfYlagfYd9[[gmflaf_KlYf\Yj\k :gYj\ A9K:!$Yf\l`]9[[gmflaf_KlYf\Yj\k:gYj\g^BYhYf 9K:B! `Ykakkm]\Yf]phgkmj]\jY^l^gjhmZda[[gee]flgfY[[gmflaf_^gj “virtual currencies”.1AfY\\alagf$l`]A9K:\ak[mkk]\[]jlYaf^]Ylmj]kg^ ljYfkY[lagfkafngdnaf_\a_alYd[mjj]f[a]k\mjaf_alke]]laf_afBYfmYjq *()0$Yf\oadd\ak[mkkaf^mlmj]o`]l`]jlg[gee]f[]Yj]k]Yj[`hjgb][l in this area.1 L`akYdkg`a_`da_`lkl`]dY[cg^YklYf\Yj\ar]\[jqhlg%Ykk]llYpgfgeq$ o`a[`eYc]kal\a^Õ[mdllg\]l]jeaf]l`]Yhhda[YZadalqg^klYf\Yj\k]ll]jkÌ hmZdak`]\h]jkh][lan]k&>mjl`]jegj]$\m]lgl`]\an]jkalqYf\hY[]g^ affgnYlagfYkkg[aYl]\oal`[jqhlg%Ykk]lk$l`]^Y[lkYf\[aj[meklYf[]k g^]Y[`af\ana\mYd[Yk]oadd\a^^]j$eYcaf_al\a^Õ[mdllg\jYo_]f]jYd [gf[dmkagfkgfl`]Y[[gmflaf_lj]Yle]fl& <]khal]l`]eYjc]lÌkaf[j]Ykaf_dqmj_]flf]]\^gjY[[gmflaf__ma\Yf[]$ l`]j]`Yn]Z]]ffg^gjeYdhjgfgmf[]e]flkgfl`aklgha[lg\Yl]& Afl`akj]hgjl$o]YaelgÕjklZja]Öqafljg\m[][jqhlg[mjj]f[a]kYf\ gl`]jlqh]kg^[jqhlg%Ykk]lk&L`]f$o]\ak[mkkkge]g^l`]j][]fl activities by accounting standard setters in relation to crypto-assets. -
Virtual Currency
Office of Legislative Research Research Report December 12, 2014 2014-R-0290 BITCOINS - VIRTUAL CURRENCY By: Michelle Kirby, Associate Analyst ISSUE BITCOINS The use of bitcoins as virtual currency, the laws that Bitcoin is a form of virtual or digital currency. It is govern it, and other states’ attempts to regulate it. not legal tender and is not backed by any This report updates OLR Report 2014-R-0050. government. Federal agencies such as SUMMARY the U.S. Treasury “Bitcoin” is a form of virtual or digital currency, that Department, the Government Accountability allows financial transactions to be conducted on a Office, the Internal network using computer codes. It is a form of Revenue Service, and the exchange that operates like a currency but does not Congressional Research Services have issued have all the attributes of real currency. guidance on how existing laws apply to virtual There are no federal or state laws that specifically currency activities. govern bitcoins. However, many existing laws apply to A proposed federal law certain virtual currency activities. calls for a five-year moratorium on bitcoin The U.S. Treasury Department’s Financial Crimes regulation. Enforcement Network (FinCEN) has provided guidance New York has proposed indicating that, under federal law, a virtual currency regulation that would, user is not a money transmitter and is therefore not among other things, subject to the registration, reporting, and require firms engaged in virtual currency to have a recordkeeping regulations for money services BitLicense. businesses (MSBs). However, virtual currency California has enacted a administrators and exchangers may be regulated as law that allows the use of money transmitters but should not be considered alternative currency.