Jun Deng, Huifeng Pan, Shuyu Zhang, Bin Zou
No abstract is available for this record.
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Jun Deng, Huifeng Pan, Shuyu Zhang, Bin Zou
No abstract is available for this record.
Frida Gustafsson, Elias Bengtsson
No abstract is available for this record.
Ruozhou Liu, Shanfeng Wan
No abstract is available for this record.
Usman W. Chohan
No abstract is available for this record.
Carol Alexander, Arben Imeraj
No abstract is available for this record.
Tolga ULUSOY, Mehmet Yunus Çelik
No abstract is available for this record.
Murat AKBALIK, Melis Zeren, Ömer Sarıgül
No abstract is available for this record.
I. Kopytin, A. Maslennikov, S. Zhukov
No abstract is available for this record.
Asma Salman
No abstract is available for this record.
David Suda, Luke Spiteri
No abstract is available for this record.
Authors unavailable
Cryptocurrency marked its presence with the inception of bitcoin in the year 2009. Bitcoin was created as a medium for peer to peer exchange. Cryptocurrency can be defined as money in digital form which can be used for exchange of goods and services. The cryptocurrency was designed to discover a type of currency which is not government regulated or in simpler terms currency whose demand and supply cannot be regulated by authorities. Cryptocurrency use cryptography to generate and allocate currency. The process of cryptography requires different verification of transactions without involving any king of centralized authority. To verify that no currency unit is spent twice, transaction verification authenticates the amount of transaction as well as the ownership of the currency. This step by step process is known as mining. The transaction record of cryptocurrency is stored in a ledger called blockchain. Blockchain can be defined as a distributed ledger which forms the basis for cryptocurrency market but its implication is not restricted to only cryptocurrency, blockchain technology can be used in financial services, supply chain management, government documentation. Mining algorithms in most of the cryptocurrency are public. Cryptocurrency presence was not felt only because of its concept but the controversies associated with it like the money laundering and terrorism activities being funded through its mechanism. The cryptocurrency market has shown turbulent with significant growth as well as downfalls. Since the main purpose of cryptocurrency was to replace real currency the question arises whether it has been able to impact the value of real currency in any significant way or not. This research aims at studying the correlation between cryptocurrencies namely Bitcoin, Bitcoin Cash, Neo, Ripple, Ethereum, Tron, Litecoin, Dash, Monero, IOTA and real currencies namely Australian dollar, Canadian dollar, Euro, Pound sterling, Japanese yen, Chinese yuan and commodities namely gold, silver keeping united states dollar as base for all conversions.
Efe Çağlar Çağlı
No abstract is available for this record.
Klaus Grobys, Niranjan Sapkota
No abstract is available for this record.
Meltem Gürünlü
No abstract is available for this record.
David R. Espinoza-Licona, Felipe A. Pérez-Sosa
El bitcoin es el medio de cambio más reconocido en la actualidad, representa una alternativa potencial a las monedas fiduciarias actuales. En el presente trabajo se analizará el comportamiento del precio para determinar si existe una burbuja especulativa originada por factores irracionales mediante un análisis de estabilidad paramétrica de la serie de tiempo de las cotizaciones de esta criptomoneda. Se demuestra que existe un cambio estructural durante 2017 y 2018, que ocasionó que la relación entre precio del bitcoin y el tiempo se modificara, la evidencia estadística confirma la formación de una burbuja especulativa durante dicho periodo.
Antonios Nikolaos Kalyvas, Panayiotis Papakyriakou, Αθανάσιος Σάκκας, Andrew Urquhart
No abstract is available for this record.
Kuselo Ntsika Ntsaluba
In this study, a methodology is presented where a hybrid system combining an evolutionary algorithm with artificial neural networks (ANNs) is designed to make weekly directional change forecasts on the USD by inferring a prediction using closing spot rates of three currency pairs: EUR/USD, GBP/USD and CHF/USD. The forecasts made by the genetically trained ANN are compared to those made by a new variation of the simple moving average (MA) trading strategy, tailored to the methodology, as well as a random model. The same process is then repeated for the three major cryptocurrencies namely: BTC/USD, ETH/USD and XRP/USD. The overall prediction accuracy, uptrend and downtrend prediction accuracy is analyzed for all three methods within the fiat currency as well as the cryptocurrency contexts. The best models are then evaluated in terms of their ability to convert predictive accuracy to a profitable investment given an initial investment. The best model was found to be the hybrid model on the basis of overall prediction accuracy and accrued returns.
Ze Shen, Qing Wan, David J. Leatham, Shen, Ze · 6 authors
Agribusiness
Andrea Falk Lind, Lykke Øverland Bergsli
Volatilitet er en av de viktigste risikokarakteristikkene til en finansiell aktiva. Nylig har interessen for Bitcoin økt, men til tross for Bitcoins høye volatilitet er forskning på dette feltet begrenset. Vi studerer derfor hvordan volatiliteten til Bitcoin påvirkes av volatiliteten og avkastningen til valutaer, aksjemarkedet, gull og sølv. Videre undersøker vi påvirkningen fra rentekunngjøringer fra sentralbanker. I vår studie bruker vi den logaritmiske HAR-modellen. Resultatene indikerer at verken valutaer, aksjemarkedet eller edle metaller kan forklare volatiliteten til Bitcoin. Videre finner vi ikke noe bevis for at rentekunngjøringer har en systematisk innflytelse på volatiliteten til Bitcoin. Dette indikerer at Bitcoin er en unik aktivaklasse uten tilknytning til tradisjonelle finansmarkeder.
Eduardo Sánchez, José Á. Olivas, Francisco P. Romero
No abstract is available for this record.
Hui-Pei Cheng, Kuang‐Chieh Yen
No abstract is available for this record.
Aghalibayli, Narmin
Bitcoin şifreli, elektronik bir paradır. Ulusal banka veya tek bir gözetmen olmadan başka bir faktöre gerek kalmaksızın dağıtılmış bir defter üzerinden müşteriden müşteriye gönderilebilen ve merkezi olmayan bir dijital para birimidir. Bu incelemede Ham Petrol, Euro/Dolar kurunun ve Altın'ın Bitcoin üzerindeki etkisi incelenmiştir. Gelişmiş para standartlarını ve kriptografik para formlarını yönlendiren genel fikir kullanılmış ve ayrıca diğer temel dijital para standartlarının bir kısmı değerlendirilmiştir. 2016-2018 dönemine ait 151 haftalık veriler baz alınarak Bitcoin ile Altın, Ham Petrol ve Avro'nun ilişkisini incelemek amacıyla Vektör Otoregresif Modeli kullanılmış ve Granger nedensellik testi ile de değişkenler arasındaki ilişkinin yönü tespit edilmiştir. Yapılan analiz sonucunda Bitcoin'in hem petrol fiyatı hem de altın fiyatı değişkenlerinden etkilendiği, her iki değişkendeki fiyat artışlarının da Bitcoin fiyatlarında artışa neden olduğu tespit edilmiştir. \n \n-------------------- \nBitcoin is cryptographic, electronic money. It is a decentralized digital currency without a national bank or a single overseer that can be sent from client to client on the distributed ledger, arranged without the requirement for another factor. In this examination, Crude Oil, Euro/Dollar exchange rate and Gold's impact on Bitcoin has been studied. The general idea driving advanced monetary standards and cryptographic forms of money has been used, and also a portion of the other essential digital monetary standards has been assessed. The Vector Autoregressive Model was used to investigate the relationship between Bitcoin and Gold, Crude Oil and Euro/Dollar exchange rate based on 151-week data of 2016-2018 period, and the direction of the relationship between the variables was determined by Granger causality test. The findings of the analysis show that Bitcoin was affected by both Crude Oil Price and Gold Price variables, and price increases in both variables cause increase in Bitcoin prices.
John Taskinsoy
No abstract is available for this record.
Haifa Amairi, Boushra El Haj Hassan, Ahlem Zantour
No abstract is available for this record.