Blockchain and Cryptocurrencies
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Blockchain and Cryptocurrencies • Saralees Nadarajah, Stephen Chan, JeffreyZhang Yuanyuan Chu and Blockchain and Cryptocurrencies Edited by Saralees Nadarajah, Stephen Chan, Jeffrey Chu and Yuanyuan Zhang Printed Edition of the Special Issue Published in Journal of Risk and Financial Management www.mdpi.com/journal/jrfm Blockchain and Cryptocurrencies Blockchain and Cryptocurrencies Editors Saralees Nadarajah Stephen Chan Jeffrey Chu Yuanyuan Zhang MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade • Manchester • Tokyo • Cluj • Tianjin Editors Saralees Nadarajah Stephen Chan Jeffrey Chu School of Mathematics, Department of Mathematics Department of Statistics, University of Manchester and Statistics, Universidad Carlos III de Madrid UK American University of Sharjah Spain UAE Yuanyuan Zhang School of Mathematics, University of Manchester UK Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Journal of Risk and Financial Management (ISSN 1911-8074) (available at: https://www.mdpi.com/ journal/jrfm/special issues/Blockchain). For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Article Number, Page Range. ISBN 978-3-03943-533-3 (Hbk) ISBN 978-3-03943-534-0 (PDF) c 2020 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. Contents About the Editors .............................................. vii Stephen Chan, Jeffrey Chu, Yuanyuan Zhang and Saralees Nadarajah Blockchain and Cryptocurrencies Reprinted from: J. Risk Financial Manag. 2020, 13, 227, doi:10.3390/jrfm13100227 .......... 1 Nader Trabelsi Are There Any Volatility Spill-Over Effects among Cryptocurrencies and Widely Traded Asset Classes? Reprinted from: J. Risk Financial Manag. 2018, 11, 66, doi:10.3390/jrfm11040066 .......... 5 Toan Luu Duc Huynh Spillover Risks on Cryptocurrency Markets: A Look from VAR-SVAR Granger Causality and Student’s-t Copulas Reprinted from: J. Risk Financial Manag. 2019, 12, 52, doi:10.3390/jrfm12020052 .......... 23 Nikolaos A. Kyriazis A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets Reprinted from: J. Risk Financial Manag. 2019, 12, 67, doi:10.3390/jrfm12020067 .......... 43 Ziaul Haque Munim, Mohammad Hassan Shakil and Ilan Alon Next-Day Bitcoin Price Forecast Reprinted from: J. Risk Financial Manag. 2019, 12, 103, doi:10.3390/jrfm12020103 .......... 61 Paulo Ferreira and Eder´ Pereira Contagion Effect in Cryptocurrency Market Reprinted from: J. Risk Financial Manag. 2019, 12, 115, doi:10.3390/jrfm12030115 .......... 77 Nikolaos A. Kyriazis and Paraskevi Prassa Which Cryptocurrencies Are Mostly Traded in Distressed Times? Reprinted from: J. Risk Financial Manag. 2019, 12, 135, doi:10.3390/jrfm12030135 .......... 85 Yuanyuan Zhang, Stephen Chan, Jeffrey Chu and Hana Sulieman On the Market Efficiency and Liquidity of High-FrequencyCryptocurrencies in a Bull and Bear Market Reprinted from: J. Risk Financial Manag. 2020, 13, 8, doi:10.3390/jrfm13010008 ........... 97 Mircea Constantin S, cheau, Simona Liliana Cr˘aciunescu, Iulia Brici and Monica Violeta Achim A Cryptocurrency Spectrum Short Analysis Reprinted from: J. Risk Financial Manag. 2020, 13, 184, doi:10.3390/jrfm13080184 ..........111 Ahmed Ibrahim, Rasha Kashef, Menglu Li, Esteban Valencia and Eric Huang Bitcoin Network Mechanics: Forecasting the BTC Closing Price Using Vector Auto-Regression Models Based on Endogenous and Exogenous Feature Variables Reprinted from: J. Risk Financial Manag. 2020, 13, 189, doi:10.3390/jrfm13090189 ..........127 v About the Editors Saralees Nadarajah is a Senior Lecturer at the School of Mathematics, University of Manchester, UK. His research interests include climate modeling, extreme value theory, distribution theory, information theory, sampling and experimental designs, and reliability. He is an author/co-author of four books and has over 600 papers published or accepted. He has held positions in Florida, California, and Nebraska. Stephen Chan was awarded the EPSRC Doctoral Prize Fellowship in 2016 at the University of Manchester, UK. His research areas include extreme value analysis and distribution theory in analyzing financial commodities data and cryptocurrency data. He co-developed and co-wrote an R package, entitled ’VaRES’, for computing value at risk and expected shortfall. He is a co-author of the book Extreme Events in Finance: A Handbook of Extreme Value Theory and its Applications. Jeffrey Chu is an assistant professor at Universidad Carlos III de Madrid, Spain. He holds a PhD in Financial Mathematics from the University of Manchester UK, where he also undertook postdoctoral research funded by the U.S. Army Research Laboratory. His current research interests cover statistical modeling and distribution theory, graphs and networks, and cryptocurrencies, and financial technology. Yuanyuan Zhang is a Data Scientist at the Centre for Epidemiology at the University of Manchester. Her research interests are focused on statistical methods and distribution theory, with applications to cryptocurrencies, and big data. Among some of her accomplishments are publications as an author and guest editor of leading journals, such as Computational Statistics and Data Analysis and the Journal of Risk and Financial Management; and winning the Institute of Mathematical Statistics (IMS) New Researcher Travel Award 2019. vii Journal of Risk and Financial Management Editorial Blockchain and Cryptocurrencies Stephen Chan 1,*, Jeffrey Chu 2, Yuanyuan Zhang 3 and Saralees Nadarajah 3 1 Department of Mathematics and Statistics, American University of Sharjah, Sharjah 26666, UAE 2 School of Statistics, Renmin University of China, No. 59 Zhongguancun Street, Haidian District, Beijing 100872, China; jeff[email protected] 3 School of Mathematics, University of Manchester, Manchester M13 9PL, UK; [email protected] (Y.Z.); [email protected] (S.N.) * Correspondence: [email protected] Received: 24 September 2020; Accepted: 24 September 2020; Published: 26 September 2020 Abstract: Cryptocurrencies are essentially digital currencies that use blockchain technology and cryptography to facilitate secure and anonymous transactions. Many institutions and countries are starting to understand and implement the idea of cryptocurrencies in their business models. With this recent surge in interest, we believe that now is the time to start studying these areas as a key piece of financial technology. The aim of this Special Issue is to provide a collection of papers from leading experts in the area of blockchain and cryptocurrencies. The topics covered in this Special Issue includes the economics, financial analysis and risk management with cryptocurrencies. Keywords: Blockchain; Cryptocurrencies; Digital Currencies; Risk management; Bitcoin; Financial analysis Blockchain and cryptocurrencies have recently captured the interest of academics and those in industry. Cryptocurrencies are essentially digital currencies that use blockchain technology and cryptography to facilitate secure and anonymous transactions. The cryptocurrency market is worth over USD 500 billion. Many institutions and countries are starting to understand and implement the idea of cryptocurrencies in their business models. The aim of this Special Issue is to provide a collection of papers from leading experts in the area of blockchain and cryptocurrencies. This volume includes a wide variety of theoretical and empirical contributions that address a range of issues and topics related to blockchain and cryptocurrencies. Short abstracts of the articles in this Special Issue are presented below: Trabelsi (2018) investigates the connectedness of the cryptocurrency markets, with other traditional currencies, stock market indices, and commodities using the spill over index approach. The results show no significant spillover effects between the cryptocurrencies and other financial markets. This suggests that cryptocurrencies pose no danger to the stability of financial systems and is seen as an independent financial instrument. Luu Duc Huynh (2019) analyses the spillover risks among cryptocurrency markets using the VAR (Vector Autoregressive Model)-SVAR (Structural Vector Autoregressive Model) Granger causality and Student’s-t Copulas. The results show that Ethereum is likely to be the independent coin in this market, while Bitcoin tends to be the spillover effect recipient. Furthermore, the study sheds light on investigating the contagion risks among cryptocurrencies by employing Student’s-t Copulas for modelling the joint distribution. The result suggests that all coins negatively change in terms of extreme value and the investors are advised to pay more attention to ‘bad news’ and moving patterns in order to make timely decisions. Kyriazis (2019) provides a systematic survey on whether the pricing behavior of cryptocurrencies is predictable, through centering the investigation on the Efficient Market Hypothesis. It is