Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/1767
Title: Forecasting Cryptocurrency Investment Return Using Time Series and Monte Carlo Simulation
Authors: Zornić, Nikola 
Marković, Aleksandar 
Čavoški, Sava
Keywords: time series;simulation;return on investment;Monte Carlo simulation;model;cryptocurrency
Issue Date: 2018
Publisher: Fac Organization And Informatics, Univ Zagreb, Varazdin
Abstract: Cryptocurrencies are attracting significant amount of attention. Everything started with Bitcoin and built up to the situation where we have over 1500 cryptocurrencies. One can say that cryptocurrency market is the new stock market. This market is still highly volatile, but decentralized, open, and widely accessible. In this paper we will use time series analysis and Monte Carlo simulation for forecasting cryptocurrencies' return for selected time period. With huge price oscillations present it is hard to provide precise return predictions, but any step towards analysing cryptocurrencies adds to understanding the market.
URI: https://rfos.fon.bg.ac.rs/handle/123456789/1767
ISSN: 1847-2001
Appears in Collections:Radovi istraživača / Researchers’ publications

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