Please use this identifier to cite or link to this item: https://openscience.ge/handle/1/2732
Title: Time-Series Forecasting of Bicoin Prices
ბიტკოინის ფასების პროგნოზირება დროითი მწკრივებით
Authors: Gagnidze, Avtandil 
Iavich, Maksim 
გაგნიძე, ავთანდილ 
იავიჩი, მაქსიმ 
Institution: East European University 
Caucasus University 
აღმოსავლეთ ევროპის უნივერსიტეტი 
კავკასიის უნივერსიტეტი 
Keywords: Time Series
Forecasting
Bicoin Prices
დროითი მწკრივები
პროგნოზირება
ბიტკოინის ფასები
Issue Date: 2020
Publisher: აღმოსავლეთ ევროპის უნივერსიტეტი 
East European University 
Source: Collection of Scientific Papers, 2020
სამეცნიერო შრომების კრებული, 2020
Abstract: 
Since 2008, when the cryptocurrency was first introduced under the name Satoshi Nakamoto, more and more people are interested in the «new money» – Bitcoin. Bitcoin is the first cryptocurrency and although many other cryptocurrencies were created and will be created in the future, Bitcoin remains the most popular cryptocurrency to this day. Naturally, along with the rapid growth of information technologies and their applications, many new «computerized» currencies will emerge. Because anyone can buy and sell cryptocurrency (e.g. bitcoin) and, thus, cryptocurrency is a subject of trade, hence cryptocurrency and in particular bitcoin is a product. Naturally, questions arise about the determinants of cryptocurrency price changes. In particular: Are the changes in the prices of cryptocurrency (and in particular Bitcoin) related to the development trends
of the global economy? Are changes in the prices of cryptocurrency (and in particular Bitcoin) related to indicators of the state of the global economy, such as the well-known indices DJII, Nasdaq, S&P 500 and others. Thus it is interesting to see whether it is possible to predict changes in the prices of cryptocurrencies (and in particular Bitcoin) using different methods of time series.
URI: https://openscience.ge/handle/1/2732
https://doi.org/10.48616/eeu-csp-2020-p46
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72-Article Text-116-1-10-20210404.pdfბიტკოინის ფასების პროგნოზირება დროითი მწკრივებით6.12 MBAdobe PDFView/Open
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