Unlocking the Mysteries of Dark Pools Cryptocurrency Series, Part 4
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Bitcoin Tumbles As Miners Face Crackdown - the Buttonwood Tree Bitcoin Tumbles As Miners Face Crackdown
6/8/2021 Bitcoin Tumbles as Miners Face Crackdown - The Buttonwood Tree Bitcoin Tumbles as Miners Face Crackdown By Haley Cafarella - June 1, 2021 Bitcoin tumbles as Crypto miners face crackdown from China. Cryptocurrency miners, including HashCow and BTC.TOP, have halted all or part of their China operations. This comes after Beijing intensified a crackdown on bitcoin mining and trading. Beijing intends to hammer digital currencies amid heightened global regulatory scrutiny. This marks the first time China’s cabinet has targeted virtual currency mining, which is a sizable business in the world’s second-biggest economy. Some estimates say China accounts for as much as 70 percent of the world’s crypto supply. Cryptocurrency exchange Huobi suspended both crypto-mining and some trading services to new clients from China. The plan is that China will instead focus on overseas businesses. BTC.TOP, a crypto mining pool, also announced the suspension of its China business citing regulatory risks. On top of that, crypto miner HashCow said it would halt buying new bitcoin mining rigs. Crypto miners use specially-designed computer equipment, or rigs, to verify virtual coin transactions. READ MORE: Sustainable Mineral Exploration Powers Electric Vehicle Revolution This process produces newly minted crypto currencies like bitcoin. “Crypto mining consumes a lot of energy, which runs counter to China’s carbon neutrality goals,” said Chen Jiahe, chief investment officer of Beijing-based family office Novem Arcae Technologies. Additionally, he said this is part of China’s goal of curbing speculative crypto trading. As result, bitcoin has taken a beating in the stock market. -
Impact on Financial Markets of Dark Pools, Large Investor, and HFT
Impact on Financial Markets of Dark Pools, Large Investor, and HFT Shin Nishioka1, Kiyoshi Izumi1, Wataru Matsumoto2, Takashi Shimada1, Hiroki Sakaji1, and Hiroyasu Matushima1 1 Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, Japan 2 Nomura Securities Co., Ltd.? [email protected] Abstract. In this research, we expanded an artificial market model in- cluding the lit market, the dark pools, the large investor, and the market maker (HFT). Using the model, we investigated their influences on the market efficiency and liquidity. We found that dark pools may improve the market efficiency if their usage rate were under some threshold. Es- pecially, It is desirable that the main users of the dark pool are large investors. A certain kind of HFT such as the market making strategy may provide the market liquidity if their usage rate were under some threshold. Keywords: Artificial Market · Dark pool · Large investor. 1 Introduction Dark pools, private financial forums for trading securities, are becoming widely used in finance especially by institutional investors [15]. Dark pools allow in- vestors to trade without showing their orders to anyone else. One of the main advantages of dark pools is their function to significantly reduce the market impact of large orders. Large investors have to constantly struggle with the problem that the market price moves adversely when they buy or sell large blocks of securities. Such market impacts are considered as trading costs for large investors. Hiding the information of large orders in dark pools may decrease market impacts. Moreover, from the viewpoint of a whole market, dark pools may stabilize financial markets by reducing market impacts[7]. -
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 -
Cryptocurrency: the Economics of Money and Selected Policy Issues
Cryptocurrency: The Economics of Money and Selected Policy Issues Updated April 9, 2020 Congressional Research Service https://crsreports.congress.gov R45427 SUMMARY R45427 Cryptocurrency: The Economics of Money and April 9, 2020 Selected Policy Issues David W. Perkins Cryptocurrencies are digital money in electronic payment systems that generally do not require Specialist in government backing or the involvement of an intermediary, such as a bank. Instead, users of the Macroeconomic Policy system validate payments using certain protocols. Since the 2008 invention of the first cryptocurrency, Bitcoin, cryptocurrencies have proliferated. In recent years, they experienced a rapid increase and subsequent decrease in value. One estimate found that, as of March 2020, there were more than 5,100 different cryptocurrencies worth about $231 billion. Given this rapid growth and volatility, cryptocurrencies have drawn the attention of the public and policymakers. A particularly notable feature of cryptocurrencies is their potential to act as an alternative form of money. Historically, money has either had intrinsic value or derived value from government decree. Using money electronically generally has involved using the private ledgers and systems of at least one trusted intermediary. Cryptocurrencies, by contrast, generally employ user agreement, a network of users, and cryptographic protocols to achieve valid transfers of value. Cryptocurrency users typically use a pseudonymous address to identify each other and a passcode or private key to make changes to a public ledger in order to transfer value between accounts. Other computers in the network validate these transfers. Through this use of blockchain technology, cryptocurrency systems protect their public ledgers of accounts against manipulation, so that users can only send cryptocurrency to which they have access, thus allowing users to make valid transfers without a centralized, trusted intermediary. -
Blockchain & Cryptocurrency Regulation
Blockchain & Cryptocurrency Regulation Third Edition Contributing Editor: Josias N. Dewey Global Legal Insights Blockchain & Cryptocurrency Regulation 2021, Third Edition Contributing Editor: Josias N. Dewey Published by Global Legal Group GLOBAL LEGAL INSIGHTS – BLOCKCHAIN & CRYPTOCURRENCY REGULATION 2021, THIRD EDITION Contributing Editor Josias N. Dewey, Holland & Knight LLP Head of Production Suzie Levy Senior Editor Sam Friend Sub Editor Megan Hylton Consulting Group Publisher Rory Smith Chief Media Officer Fraser Allan We are extremely grateful for all contributions to this edition. Special thanks are reserved for Josias N. Dewey of Holland & Knight LLP for all of his assistance. Published by Global Legal Group Ltd. 59 Tanner Street, London SE1 3PL, United Kingdom Tel: +44 207 367 0720 / URL: www.glgroup.co.uk Copyright © 2020 Global Legal Group Ltd. All rights reserved No photocopying ISBN 978-1-83918-077-4 ISSN 2631-2999 This publication is for general information purposes only. It does not purport to provide comprehensive full legal or other advice. Global Legal Group Ltd. and the contributors accept no responsibility for losses that may arise from reliance upon information contained in this publication. This publication is intended to give an indication of legal issues upon which you may need advice. Full legal advice should be taken from a qualified professional when dealing with specific situations. The information contained herein is accurate as of the date of publication. Printed and bound by TJ International, Trecerus Industrial Estate, Padstow, Cornwall, PL28 8RW October 2020 PREFACE nother year has passed and virtual currency and other blockchain-based digital assets continue to attract the attention of policymakers across the globe. -
A Pecking Order of Trading Venues
Journal of Financial Economics 124 (2017) 503–534 Contents lists available at ScienceDirect Journal of Financial Economics journal homepage: www.elsevier.com/locate/jfec R Shades of darkness: A pecking order of trading venues ∗ Albert J. Menkveld a, Bart Zhou Yueshen b, Haoxiang Zhu c, a Vrije Universiteit Amsterdam and Tinbergen Institute, De Boelelaan 1105, Amsterdam 1081 HV, Netherlands b INSEAD, Boulevard de Constance, 77300 Fontainebleau, France c MIT Sloan School of Management and NBER, 100 Main Street E62-623, Cambridge, MA 02142, USA a r t i c l e i n f o a b s t r a c t Article history: We characterize the dynamic fragmentation of U.S. equity markets using a unique data Received 16 September 2015 set that disaggregates dark transactions by venue types. The “pecking order” hypothesis Revised 13 June 2016 of trading venues states that investors “sort” various venue types, putting low-cost-low- Accepted 22 June 2016 immediacy venues on top and high-cost-high-immediacy venues at the bottom. Hence, Available online 8 March 2017 midpoint dark pools on top, non-midpoint dark pools in the middle, and lit markets at the JEL classification: bottom. As predicted, following VIX shocks, macroeconomic news, and firms’ earnings sur- G12 prises, changes in venue market shares become progressively more positive (or less nega- G14 tive) down the pecking order. We further document heterogeneity across dark venue types G18 and stock size groups. D47 Published by Elsevier B.V. Keywords: Dark pool Pecking order Fragmentation 1. Introduction R For helpful comments and suggestions, we thank Bill Schwert (ed- A salient trend in global equity markets over the last itor), an anonymous referee, Mark van Achter, Jim Angel, Matthijs decade is the rapid expansion of off-exchange, or “dark” Breugem, Adrian Buss, Sabrina Buti, Hui Chen, Jean-Edourd Colliard, Ca- role Comerton-Forde, John Core, Bernard Dumas, Thierry Foucault, Frank trading venues. -
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. -
Coinbase Explores Crypto ETF (9/6) Coinbase Spoke to Asset Manager Blackrock About Creating a Crypto ETF, Business Insider Reports
Crypto Week in Review (9/1-9/7) Goldman Sachs CFO Denies Crypto Strategy Shift (9/6) GS CFO Marty Chavez addressed claims from an unsubstantiated report earlier this week that the firm may be delaying previous plans to open a crypto trading desk, calling the report “fake news”. Coinbase Explores Crypto ETF (9/6) Coinbase spoke to asset manager BlackRock about creating a crypto ETF, Business Insider reports. While the current status of the discussions is unclear, BlackRock is said to have “no interest in being a crypto fund issuer,” and SEC approval in the near term remains uncertain. Looking ahead, the Wednesday confirmation of Trump nominee Elad Roisman has the potential to tip the scales towards a more favorable cryptoasset approach. Twitter CEO Comments on Blockchain (9/5) Twitter CEO Jack Dorsey, speaking in a congressional hearing, indicated that blockchain technology could prove useful for “distributed trust and distributed enforcement.” The platform, given its struggles with how best to address fraud, harassment, and other misuse, could be a prime testing ground for decentralized identity solutions. Ripio Facilitates Peer-to-Peer Loans (9/5) Ripio began to facilitate blockchain powered peer-to-peer loans, available to wallet users in Argentina, Mexico, and Brazil. The loans, which utilize the Ripple Credit Network (RCN) token, are funded in RCN and dispensed to users in fiat through a network of local partners. Since all details of the loan and payments are recorded on the Ethereum blockchain, the solution could contribute to wider access to credit for the unbanked. IBM’s Payment Protocol Out of Beta (9/4) Blockchain World Wire, a global blockchain based payments network by IBM, is out of beta, CoinDesk reports. -
An Investigative Study of Cryptocurrency Abuses in the Dark Web
Cybercriminal Minds: An investigative study of cryptocurrency abuses in the Dark Web Seunghyeon Leeyz Changhoon Yoonz Heedo Kangy Yeonkeun Kimy Yongdae Kimy Dongsu Hany Sooel Sony Seungwon Shinyz yKAIST zS2W LAB Inc. {seunghyeon, kangheedo, yeonk, yongdaek, dhan.ee, sl.son, claude}@kaist.ac.kr {cy}@s2wlab.com Abstract—The Dark Web is notorious for being a major known as one of the major drug trading sites [13], [22], and distribution channel of harmful content as well as unlawful goods. WannaCry malware, one of the most notorious ransomware, Perpetrators have also used cryptocurrencies to conduct illicit has actively used the Dark Web to operate C&C servers [50]. financial transactions while hiding their identities. The limited Cryptocurrency also presents a similar situation. Apart from coverage and outdated data of the Dark Web in previous studies a centralized server, cryptocurrencies (e.g., Bitcoin [58] and motivated us to conduct an in-depth investigative study to under- Ethereum [72]) enable people to conduct peer-to-peer trades stand how perpetrators abuse cryptocurrencies in the Dark Web. We designed and implemented MFScope, a new framework which without central authorities, and thus it is hard to identify collects Dark Web data, extracts cryptocurrency information, and trading peers. analyzes their usage characteristics on the Dark Web. Specifically, Similar to the case of the Dark Web, cryptocurrencies MFScope collected more than 27 million dark webpages and also provide benefits to our society in that they can redesign extracted around 10 million unique cryptocurrency addresses for Bitcoin, Ethereum, and Monero. It then classified their usages to financial trading mechanisms and thus motivate new business identify trades of illicit goods and traced cryptocurrency money models, but are also adopted in financial crimes (e.g., money flows, to reveal black money operations on the Dark Web. -
Dark Pools and High Frequency Trading for Dummies
Dark Pools & High Frequency Trading by Jay Vaananen Dark Pools & High Frequency Trading For Dummies® Published by: John Wiley & Sons, Ltd., The Atrium, Southern Gate, Chichester, www.wiley.com This edition first published 2015 © 2015 John Wiley & Sons, Ltd, Chichester, West Sussex. Registered office John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or trans- mitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by the UK Copyright, Designs and Patents Act 1988, without the prior permission of the publisher. Wiley publishes in a variety of print and electronic formats and by print-on-demand. Some material included with standard print versions of this book may not be included in e-books or in print-on-demand. If this book refers to media such as a CD or DVD that is not included in the version you purchased, you may download this material at http://booksupport.wiley.com. For more information about Wiley products, visit www.wiley.com. Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book are trade names, service marks, trademarks or registered trademarks of their respective owners. The publisher is not associated with any product or vendor men- tioned in this book. -
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. -
First Crypto Index in Hong Kong
First crypto index in Hong Kong Index Review 2021 Q1 1 Market Overview 2 Historical Crypto Market Capitalization (free-floated) & Bitcoin Price (Dec 2018 - Mar 2021) 2021 Q1 Market Cap Bitcoin Price The total Market Cap and Bitcoin price kept the upward trend during this quarter. Source: CoinMarketCap as of 31/03/2021 HKT 3 Crypto market overview Top 10 Cryptos No Name Market Cap Price % Change* 2021 Q1 1 Bitcoin $1,099,939,890,804 $58,917.69 104.28% 2 Ethereum $212,788,788,571 $1,846.03 145.61% 9,000 + Crypto Currencies 3 Binance Coin $48,125,603,373 $311.43 716.54% 4 Tether $40,681,086,817 $1.00 0.00% 131 Billion USD Daily Volume 5 Cardano $38,763,410,938 $1.21 557.47% 6 Polkadot $31,495,837,002 $34.07 369.93% 7 XRP $25,737,663,165 $0.57 167.62% 1.88 Trillion USD Market Cap 8 Uniswap $14,871,243,021 $28.49 588.16% 9 Litecoin $13,129,004,499 $196.68 51.91% 10 THETA $12,977,378,293 $12.98 711.25% Source: CoinMarketCap as of 31/03/2021 HKT • % Change since the end of last quarter 4 Crypto market overview 2020 Q4 2020 Q3 9,000 + Crypto Currencies (+11.1%) 8,100 + Crypto Currencies 131 Billion USD Daily Volume (-29.1%) 185 Billion USD Daily Volume 1.88 Trillion USD Market Cap (+147%) 762 Billion USD Market Cap Compared with last review, total market cap rose by 147%, while the daily volume cooled down by 29.1%.