Price Shocks of Bitcoin and Correlation to Other Cryptocurrency

Total Page:16

File Type:pdf, Size:1020Kb

Price Shocks of Bitcoin and Correlation to Other Cryptocurrency Price shocks of Bitcoin and correlation to other cryptocurrency Master Thesis Student name: Marko Jelčić ANR:929706 SNR:2016639 November 2018 Supervisor: dr. Ole Wilms Second reader: dr. Fatemeh Hosseini Tash Abstract The purpose of this study is to examine how the correlation between Bitcoin and other cryptocurrencies changes after Bitcoin price shocks that happened in 2017 and early 2018, when the market experienced a great increase and introduced cryptocurrency to the broader public. Using time series data of returns and using 14-day rolling correlations between Bitcoin and nine other cryptocurrencies, the empirical research will focus on correlation shifts. Quantitative analysis was performed on correlations between cryptocurrencies during the aforementioned period, generalized autoregressive conditional heteroskedasticity analysis was performed as well as a thorough analysis on structural breaks in correlation levels between Bitcoin and other cryptocurrencies. Main hypothesis of the thesis is that correlation levels rise after Bitcoin experiences a price shock. The results indicate that the correlation coefficient shifts after every Bitcoin price shock, but not necessarily in an upwards direction. These results have implications on using Bitcoin and other cryptocurrencies in a portfolio and creating a cryptocurrency portfolio itself, especially concerning diversification possibilities in a portfolio consisting of cryptocurrencies alone. After a structural break happens, the portfolio should be readjusted accordingly, whether it was made of different types of assets or cryptocurrencies alone. Keywords: Bitcoin, cryptocurrency, correlation, diversification, price shocks 1 Contents Abstract ......................................................................................................................................................... 1 1. Introduction ........................................................................................................................................... 3 2. Literature Review .................................................................................................................................. 7 2.1. Bitcoin ............................................................................................................................................. 10 2.2. Currency .......................................................................................................................................... 11 2.3. Legality ........................................................................................................................................... 13 2.4. Transactions .................................................................................................................................... 13 2.5. Dominance ...................................................................................................................................... 14 2.6. Usage as a payment ......................................................................................................................... 14 3. Alternative cryptocurrencies ............................................................................................................... 15 4.1. Ether ............................................................................................................................................ 19 4.2. Litecoin ....................................................................................................................................... 20 4.3. Ripple .......................................................................................................................................... 21 4.4. Dash ............................................................................................................................................ 22 4.5. Monero ........................................................................................................................................ 23 4.6. Stellar .......................................................................................................................................... 24 4.7. NEO ............................................................................................................................................ 25 4.8. NEM ............................................................................................................................................ 26 4.9. Bytecoin ...................................................................................................................................... 27 5. Empirical research .............................................................................................................................. 28 5.1. ARCH and GARCH models ........................................................................................................... 28 5.2. Correlation studies and methodology ............................................................................................. 30 5.3. Structural Break test Methodology ................................................................................................. 33 5.3.1. Bitcoin Price Shocks ................................................................................................................... 35 5.3.2. Break dates for the hypothesis .................................................................................................... 36 5.4. Empirical testing ............................................................................................................................. 37 6. Conclusion .......................................................................................................................................... 44 7. References ........................................................................................................................................... 46 8. Appendix ............................................................................................................................................. 47 2 1. Introduction The aim of this thesis is to provide a background on the cryptocurrency market as a whole and investigate how the correlations between cryptocurrencies act before and after price shocks. Correlation analysis is important because it shows how the currencies act together in such a new and volatile market. This analysis is also important for understanding the volatility of alternative cryptocurrency and how does it tie into Bitcoin, which in a broader scope of things also provides an analysis on a possibility of a cryptocurrency portfolio. Diversification possibilities are weakened if strong correlation between cryptocurrencies persist so this analysis would provide an answer whether extreme cases of Bitcoin price volatility affect them. Cryptocurrencies, or as the European Central Bank (2015) called them, Virtual currency schemes created a whole new payment system by itself, along with many new subjects that create and act in the cryptocurrency market. As in most markets, the inventors are the most important actors, since they develop the technology behind the cryptocurrency. These individuals are usually programmers and computer scientist, as it takes considerable technical prowess to create such powerful systems. Once these units are created, they need to be generated. The volume of these currencies is either predetermined or simply depends on the demand. In centralized cryptocurrency systems, issuers can issue more cryptocurrency, dictate rules of usage and control the supply. In decentralized cryptocurrency systems, miners create new units of currency, by generating new units as a reward for validating a set of transactions and adding them to the payment ledger to avoid double spending, in other words, marking each unit that has been used in a transaction in order to avoid malicious behavior. For a market to work, it needs users, which accumulate and spend their cryptocurrency units on goods and services, or simply accumulate them as a storage of wealth. 3 Number of users who accumulated cryptocurrency, during the mentioned period far surpasses the volume of purchases with vendors that are expected for that volume. According to the Cambridge business school study (2017), number of active cryptocurrency users is between 2.9 million and 5.8 million. On the other hand, number of wallets open in Coinbase1, according to their website is currently over 20 million. This information is highly indicative of the cause of the extreme market growth cryptocurrencies experienced. Most of the people see cryptocurrencies as an investment rather than a payment vehicle. To keep units of cryptocurrency, users have wallets, which are commonly divided into two commonly used categories. Cold wallets, which are usually hardware based and located offline on a physical piece of hardware, usually an USB drive. These types of wallets are deemed safer because of lowered risk of theft. Hot wallets are based online, stored on different types of software, which keeps users’ currency in one place. Exchanges exist in order to provide users with options of trading for their currencies either with a fiat currency, such as US dollars, Euros, Renmimbi or Yen, or with another cryptocurrency. Most popular exchanges include Binance, Bitfinex, Kraken etc. Volume of trading on Binance, which accounts for more than 20% of the exchange market share, can reach over 500 million US dollars a day. A wide range of payment options is usually
Recommended publications
  • An Empirical Investigation of Volatility Dynamics in the Cryptocurrency Market
    This is a repository copy of An empirical investigation of volatility dynamics in the cryptocurrency market. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/147457/ Version: Accepted Version Article: Katsiampa, P. orcid.org/0000-0003-0477-6503 (2019) An empirical investigation of volatility dynamics in the cryptocurrency market. Research in International Business and Finance. ISSN 0275-5319 https://doi.org/10.1016/j.ribaf.2019.06.004 Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). Reuse This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) licence. This licence only allows you to download this work and share it with others as long as you credit the authors, but you can’t change the article in any way or use it commercially. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ An empirical investigation of volatility dynamics in the cryptocurrency market Abstract: By employing an asymmetric Diagonal BEKK model, this paper examines volatility dynamics of five major cryptocurrencies, namely Bitcoin, Ether, Ripple, Litecoin, and Stellar Lumen. It is shown that the conditional variances of all the five cryptocurrencies are significantly affected by both previous squared errors and past conditional volatility.
    [Show full text]
  • In Re Bitconnect Securities Litigation 18-CV-80086-Third Amended Class Action Complaint
    Case 9:18-cv-80086-DMM Document 48 Entered on FLSD Docket 07/03/2018 Page 1 of 64 UNITED STATES DISTRICT COURT SOUTHERN DISTRICT OF FLORIDA WEST PALM BEACH DIVISION IN RE BITCONNECT SECURITIES LITIGATION Lead Case No.: 9:18-cv-80086-DMM CLASS ACTION JURY TRIAL DEMANDED THIRD AMENDED CLASS ACTION COMPLAINT Respectfully submitted, SILVER MILLER LEVI & KORSINSKY, LLP 11780 W. Sample Road EDUARD KORSINSKY Coral Springs, Florida 33065 E-mail: [email protected] Telephone: (954) 516-6000 30 Broad Street, 24th Floor DAVID C. SILVER New York, New York 10004 Florida Bar No. 572764 Telephone: (212) 363-7500 E-mail: [email protected] Facsimile: (212) 636-7171 JASON S. MILLER Florida Bar No. 072206 DONALD J. ENRIGHT E-mail: [email protected] E-mail: [email protected] ELIZABETH K. TRIPODI E-mail: [email protected] JOHN A. CARRIEL E-mail: [email protected] LEVI & KORSINSKY, LLP 1101 30th Street, N.W., Suite 115 Washington, DC 20007 Telephone: (202) 524-4290 Facsimile: (202) 333-2121 Co-Lead Counsel for Plaintiffs Case 9:18-cv-80086-DMM Document 48 Entered on FLSD Docket 07/03/2018 Page 2 of 64 Lead Case No.: 9:18-cv-80086-DMM TABLE OF CONTENTS Page NATURE OF THE ACTION ..........................................................................................................1 JURISDICTION AND VENUE ......................................................................................................8 PARTIES AND RELEVANT NON-PARTIES ..............................................................................8 I. PLAINTIFFS ...........................................................................................................8
    [Show full text]
  • A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets
    Journal of Risk and Financial Management Review A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets Nikolaos A. Kyriazis Department of Economics, University of Thessaly, 38333 Volos, Greece; [email protected] Abstract: This study is an integrated survey of GARCH methodologies applications on 67 empirical papers that focus on cryptocurrencies. More sophisticated GARCH models are found to better explain the fluctuations in the volatility of cryptocurrencies. The main characteristics and the optimal approaches for modeling returns and volatility of cryptocurrencies are under scrutiny. Moreover, emphasis is placed on interconnectedness and hedging and/or diversifying abilities, measurement of profit-making and risk, efficiency and herding behavior. This leads to fruitful results and sheds light on a broad spectrum of aspects. In-depth analysis is provided of the speculative character of digital currencies and the possibility of improvement of the risk–return trade-off in investors’ portfolios. Overall, it is found that the inclusion of Bitcoin in portfolios with conventional assets could significantly improve the risk–return trade-off of investors’ decisions. Results on whether Bitcoin resembles gold are split. The same is true about whether Bitcoins volatility presents larger reactions to positive or negative shocks. Cryptocurrency markets are found not to be efficient. This study provides a roadmap for researchers and investors as well as authorities. Keywords: decentralized cryptocurrency; Bitcoin; survey; volatility modelling Citation: Kyriazis, Nikolaos A. 2021. A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets. Journal of Risk and 1. Introduction Financial Management 14: 293. The continuing evolution of cryptocurrency markets and exchanges during the last few https://doi.org/10.3390/jrfm years has aroused sparkling interest amid academic researchers, monetary policymakers, 14070293 regulators, investors and the financial press.
    [Show full text]
  • How Global Is the Cryptocurrency Market?
    How Global Is The Cryptocurrency Market? Gina C. Pieters Trinity University, Economics Department, San Antonio, Texas, USA University of Cambridge, Judge Business School|Cambridge Centre for Alternative Finance, UK Abstract Despite the size and global reach of crypto-markets we dont know how much individual countries have invested in cryptos (market exposure), what share of the market individual countries account for (market power), or how those two measures are related. Movements originating in high market power countries will impact high exposure countries, representing a new channel for financial contagion. This paper constructs multiple estimates of exposure and power, using purchases by state-issued currencies and including adjustments to account for the purchase of cryptocurrencies by other cryptocurrencies. All measures find that the market is highly concentrated in just three currencies|the US dollar, the South Korean Won, and the Japanese Yen account for over 90% of all crypto transactions. Market expo- sure and market power cannot be explained by economic size, income, financial openness, domestic stock market size, or internet access. This analysis also reveals that a country's Bitcoin market share is not representative of a country's crypto-market share: a warning for regulators or researchers focused exclusively on Bitcoin markets. Keywords: Bitcoin; Cryptocurrencies; International Asset Market. JEL Codes: E50, F20, F33, G15 Email address: [email protected] ( Gina C. Pieters) 1. Introduction The FSB's initial assessment is that crypto-assets do not pose risks to global financial stability at this time. This is in part because they are small relative to the financial system. Even at their recent peak, their combined global market value was less than 1% of global GDP.
    [Show full text]
  • Persistence in the Cryptocurrency Market
    1703 Discussion Papers Deutsches Institut für Wirtschaftsforschung 2017 Persistence in the Cryptocurrency Market Guglielmo Maria Caporale, Luis Gil-Alana and Alex Plastun Opinions expressed in this paper are those of the author(s) and do not necessarily reflect views of the institute. IMPRESSUM © DIW Berlin, 2017 DIW Berlin German Institute for Economic Research Mohrenstr. 58 10117 Berlin Tel. +49 (30) 897 89-0 Fax +49 (30) 897 89-200 http://www.diw.de ISSN electronic edition 1619-4535 Papers can be downloaded free of charge from the DIW Berlin website: http://www.diw.de/discussionpapers Discussion Papers of DIW Berlin are indexed in RePEc and SSRN: http://ideas.repec.org/s/diw/diwwpp.html http://www.ssrn.com/link/DIW-Berlin-German-Inst-Econ-Res.html Persistence in the Cryptocurrency Market Guglielmo Maria Caporale* Brunel University London, CESifo and DIW Berlin Luis Gil-Alana** University of Navarra Alex Plastun*** Sumy State University December 2017 Abstract This paper examines persistence in the cryptocurrency market. Two different long- memory methods (R/S analysis and fractional integration) are used to analyse it in the case of the four main cryptocurrencies (BitCoin, LiteCoin, Ripple, Dash) over the sample period 2013-2017. The findings indicate that this market exhibits persistence (there is a positive correlation between its past and future values), and that its degree changes over time. Such predictability represents evidence of market inefficiency: trend trading strategies can be used to generate abnormal profits in the cryptocurrency market. Keywords: Crypto Currency, BitCoin, Persistence, Long Memory, R/S Analysis, Fractional Integration JEL Classification: C22, G12 *Corresponding author.
    [Show full text]
  • Initial Coin Offerings the Frontier of Financing
    Initial Coin Offerings The Frontier of Financing February 2018 Initial coin offerings (ICOs) are a new fundraising model whereby a venture issues a new cryptocurrency to raise capital. ICOs offer both benefits and risks. This paper provides general background information on initial coin offerings, while our forthcoming companion report, ICOs: Defining Characteristics and Taxonomy of Crypto Coins and Tokens, delves into the technical elements and characteristics of initial coin offerings. What is an ICO? An ICO is a means of crowdfunding startups, whereby the venture issues a new crypto token1, specific to its own protocol or network, to investors in exchange for capital—typically an established cryptocurrency like ether or bitcoin. Startups use the raised capital for future expenses associated with developing their business. A typical ICO works as follows: a white paper outlining the project’s objectives and purpose is released to the public and a new crypto token is created on a platform such as Ethereum. Network participants settle on the tokens value through different auction models which play out during the fundraising process. Most ICOs function by having investors transfer funds (typically ether or bitcoin) to a smart contract that safeguards the capital and automatically redistributes an equivalent value in the new crypto asset in the future based upon pre-determined conditions. Some firms using ICOs have raised millions of dollars seconds after opening bidding, illustrating both the frenzied market and the reach of the technology. ICOs leverage crypto and smart contract technologies to replace venture capital (VC) and other funding models with more direct, automated, and decentralized solutions for participants to fund and then benefit from the development of a crypto network.
    [Show full text]
  • The Rise and Fall of Cryptocurrencies
    The Rise and Fall of Cryptocurrencies Amir Feder∗ Neil Gandal Berglas School of Economics Berglas School of Economics Tel Aviv University, Israel Tel Aviv University, Israel [email protected] [email protected] JT Hamrick Tyler Moore Tandy School of Computer Science Tandy School of Computer Science The University of Tulsa, USA The University of Tulsa, USA [email protected] [email protected] Marie Vasek Department of Computer Science University of New Mexico, USA [email protected] July 30, 2018 Abstract Since Bitcoin's introduction in 2009, interest in cryptocurrencies has soared. One manifestation of this interest has been the explosion of newly created coins. This paper examines the dynamics of coin creation, competition and destruction in the cryptocurrency industry. In order to conduct the analysis, we develop a methodology to identify peaks in prices and trade volume, as well as when coins are abandoned and subsequently \resurrected". We study trading activity associated with 1 082 coins over a nearly five-year period. We present evidence that the more frequently traded coins experience the biggest price rises. They are also much less likely to be abandoned, that is, to experience a drop in average trading volume to below 1% of a prior peak value. Overall, we find that 44% of publicly-traded coins are abandoned, at least temporarily. 71% of abandoned coins are later resurrected, leaving 18% of coins to fail permanently. We then examine the association between entry and exit and other key variables such as price, volume, and market capitalization in order to analyze and provide intuition underpinning the fundamentals in this market.
    [Show full text]
  • Cryptocurrencies As a New Global Financial Asset
    Cryptocurrencies As a New Global Financial Asset Gina Pieters Trinity University, Economics Dept, 1 Trinity Place, San Antonio, Texas, 78212, USA. University College London - Centre for Blockchain Technology, Malet Place, London WC1E 6BT UK Abstract The distribution of the crypto-market across economies has received little attention despite the markets substantial size. I show that the distribution of fiat currencies across Bitcoin does not correspond to the distribution across the crypto-market in general, with some economies investing considerably more (or considerably less) in non-Bitcoin cryptos. Because cryptos represent their own medium of exchange I derive three different measures of fiat market shares: Direct, Purchase, and Implicit. All three measures find that while cryptos may be globally traded, the crypto-market is highly concentrated in just three economies| the US dollar, the South Korean Won, and the Japanese Yen account for over 90% of all crypto transactions. Fiat shares in the crypto market cannot be explained by size of the corresponding stock market, economic size, income, financial openness, or digital access. Some currencies with large exposures to the crypto-market have only a small market-share which may represent either increased diversification away from home-bias, a new route for financial contagion, or both. 1. Introduction The crypto-market|consisting of cryptocurrencies, cryptotokens, and cryptoassets|is a completely digital, online market that has the potential to financially connect economies around the world. Cryptos|the most famous of which is Bitcoin|have no physically trade- able form. Unlike traditional currencies or assets, are usually unlinked to a physical location or market, and therefore they are not susceptible to the economic health of any single econ- omy.
    [Show full text]
  • Imitation-Driven Cultural Collapse
    1 Imitation-driven Cultural Collapse a,* a,* 2 Salva Duran-Nebreda and Sergi Valverde a 3 Evolution of Technology Lab, Institute of Evolutionary Biology (UPF-CSIC), Passeig de la Barceloneta, E-08003, 4 Barcelona. * 5 [email protected]; [email protected] 6 ABSTRACT A unique feature of human society is its ever-increasing diversity and complexity. Although individuals can generate meaningful variation, they can never create the whole cultural and technological knowledge sustaining a society on their own. Instead, social transmission of innovations accounts for most of the accumulated human knowledge. The natural cycle of cumulative culture entails fluctuations in the diversity of artifacts and behaviours, with sudden declines unfolding in particular domains. Cultural collapses have been attributed to exogenous causes. Here, we define a theoretical framework to explain endogenous cultural collapses, driven by an exploration-reinforcement imbalance. This is demonstrated by the historical market crash of the 7 Atari Video Console System in 1983, the cryptocurrency crash of 2018 and the production of memes in online communities. We identify universal features of endogenous cultural collapses operating at different scales, including changes in the distribution of component usage, higher compressibility of the cultural history, marked decreases in complexity and the boom-and-bust dynamics of diversity. The loss of information is robust and independent of specific system details. Our framework suggests how future endogenous collapses can be mitigated by stronger self-policing, reduced costs to innovation and increased transparency of cost-benefit trade-offs. 8 Introduction 9 Comparative studies between humans and other animals emphasize the unique aspects of human learning, including their 1,2 10 capacity for high-fidelity copying .
    [Show full text]
  • The University of Tulsa the Graduate School Price
    THEUNIVERSITYOFTULSA THE GRADUATE SCHOOL PRICE MANIPULATION IN THE CRYPTOCURRENCY ECOSYSTEM by JT Hamrick A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Discipline of Computer Science The Graduate School The University of Tulsa 2020 THEUNIVERSITYOFTULSA THE GRADUATE SCHOOL PRICE MANIPULATION IN THE CRYPTOCURRENCY ECOSYSTEM by JT Hamrick A DISSERTATION APPROVED FOR THE DISCIPLINE OF COMPUTER SCIENCE By Dissertation Committee Tyler Moore, Chair Mauricio Papa John Hale Neil Gandal Nicolas Christin ii ABSTRACT JT Hamrick (Doctor of Philosophy in Computer Science) PRICE MANIPULATION IN THE CRYPTOCURRENCY ECOSYSTEM Directed by Tyler Moore 164 pp., Chapter 10: Conclusions (355 words) In the recent past the cryptocurrency ecosystem has seen explosive growth. What was once a small market, made popular with the introduction of Bitcoin in 2009, has now grown to a pseudo-financial system with a market capitalization of over 230 billion USD. Many of the cryptocurrencies available have been built with security in mind, utilizing a public ledger as well as safe-guards against counterfeiting. One might be led to believe that the public nature of cryptocurrencies would make them an infrequent target for criminal activity. However, that is not entirely the case. Many of the services utilized by the cryptocurrency ecosystem are centralized utilities that store transactions in databases that, while partially made public through data endpoints, are not attached to the blockchain. This dissertation leverages public data, typically through off-chain utilities, to study cybercriminal activities. First, the impact that distributed denial-of-services attacks have on the Bitcoin ecosystem was investigated by examining trading activity on the Mt.
    [Show full text]
  • Crowdfunding Capital in the Age of Blockchain-Based Tokens
    St. John's Law Review Volume 92 Number 4 Volume 92, Winter 2018, Number 4 Article 5 Crowdfunding Capital in the Age of Blockchain-Based Tokens Patricia H. Lee Follow this and additional works at: https://scholarship.law.stjohns.edu/lawreview This Article is brought to you for free and open access by the Journals at St. John's Law Scholarship Repository. It has been accepted for inclusion in St. John's Law Review by an authorized editor of St. John's Law Scholarship Repository. For more information, please contact [email protected]. CROWDFUNDING CAPITAL IN THE AGE OF BLOCKCHAIN-BASED TOKENS PATRICIA H. LEE † INTRODUCTION Less than three years ago, the Securities and Exchange Commission (“SEC”) adopted investment crowdfunding regulations (“Reg. CF”) to facilitate small companies’ efforts to raise capital and jumpstart employment. 1 Reg. CF provides companies 2 with potentially one of the most disruptive transformations in capital markets. 3 Its potential has been lauded as a possible vehicle to democratize capital formation and † Patricia H. Lee, Associate Professor of Law and Director, Entrepreneurship and Innovation Initiatives, Saint Louis University School of Law; J.D., Northwestern Pritzker School of Law, and B.A., Northwestern University Weinberg College of Arts and Sciences. Former Corporate and Securities Counsel for a DOW 30 company. Additionally, the author wishes to thank Saint Louis University School of Law, Dean William Johnson and Associate Deans Marcia McCormick and Anders Walker for the generous support which made this research
    [Show full text]
  • Widespread Fraud Found in Cryptocurrency Offerings
    Investor Alert: Cryptocurrencies WIDESPREAD FRAUD FOUND IN CRYPTOCURRENCY OFFERINGS April 10, 2018 In response to a sharp increase in the number of cryptocurrency investment opportunities being marketed to Texans, the Enforcement TSSB Cryptocurrency Division of the Texas State Securities Board (TSSB) conducted a four- Enforcement Actions week investigation of securities offerings tied to virtual currencies. • Dec. 20: USI-Tech Starting Dec. 18, 2017, the Enforcement Division began investigating promoters of cryptocurrency investments who appeared to be illegally • Jan. 4: BitConnect and fraudulently using online advertisements, social media, and other public solicitations to attract Texas investors. • Jan. 24: R2B Coin Attorneys and investigators opened 32 investigations over the course • Feb. 3: DavorCoin of four weeks. Not surprisingly, 19 of the companies claimed they would in some way use Bitcoin – the most widely known • Feb. 15: Investors in cryptocurrency and online transaction system – by accepting it as an Crypto investment, trading it, or investing in businesses and technologies involving bitcoin. • March 5: LeadInvest Among the findings in the 32 investigations: • April 5: Freedom Financial Club Inc., Mark • No promoters were registered to sell securities in Texas, a violation J. Moncher, et al. of the Texas Securities Act; • 30 promoters were broadly using websites, social media, and online advertising to market to Texans; • Seven promoters were offering securities tied to a new cryptocurrency; 1 Investor Alert: Cryptocurrencies • At least five promoters all but ignored investing risks by guaranteeing returns, some as high as 40% per month; 60 TSSB Cryptocurrency • Only 11 promoters provided potential investors with a physical Investigations – So Far address; • At least six promoters were actively recruiting sales agents Since the start of the state without verifying they were registered with the Securities fiscal year on Sept.
    [Show full text]