Zuzana Rakovská – Masaryk University, Faculty of Economics and Administration, Lipova 41a, 602 00 Brno, Czech Republic

 

DOI: https://doi.org/10.31410/ITEMA.2019.241

 

3rd International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2019 – Bratislava, Slovakia, October 24, 2019, CONFERENCE PROCEEDINGS published by the Association of Economists and Managers of the Balkans, Belgrade; Printed by: SKRIPTA International, Belgrade, ISBN 978-86-80194-23-3, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2019

 

 

Abstract

This paper examines the factors that affect the sentiment towards bitcoin of the given population
– their beliefs about the future development of investors’ interest in bitcoin in two weeks, one
month, and one-quarter period ahead. To do so, it employs data from a unique longitudinal survey,
which was conducted in six waves during the period from September to December 2018 on a balanced
sample of 141 university students. The variety of factors are considered in the study, such as the collection
of socio-demographic factors, expectations about dynamics of popular currency pairs, the degree
of financial knowledge, respondents overconfidence or the technology acceptance factor. Using the ordered
probit for panel data, this study found the support for the above mentioned factors at least in the
one studied horizon. Moreover, it was shown that respondents evaluate also the past returns of Bitcoin
when shaping their beliefs.

 

Keywords

Sentiment, Cryptocurrencies, Economic Expectations, Longitudinal Survey.


References

Bukovina, J., & Martiček, M. (2016). Sentiment and bitcoin volatility (No. 2016-58). Mendel
University in Brno, Faculty of Business and Economics.
Greene, W. (2012). H.(2012): Econometric Analysis.
Henry, C. S., Huynh, K. P., & Nicholls, G. (2018). Bitcoin awareness and usage in Canada. Journal
of Digital Banking, 2(4), 311-337.
Kim, Y. B., Lee, J., Park, N., Choo, J., Kim, J. H., & Kim, C. H. (2017). When Bitcoin encounters
information in an online forum: Using text mining to analyse user opinions and predict
value fluctuation. PloS one, 12(5), e0177630.
Kristoufek, L. (2013). BitCoin meets Google Trends and Wikipedia: Quantifying the relationship
between phenomena of the Internet era. Scientific reports, 3, 3415.
Kristoufek, L. (2015). What are the main drivers of the Bitcoin price? Evidence from wavelet
coherence analysis. PloS one, 10(4), e0123923.
Mai, F., Shan, Z., Bai, Q., Wang, X., & Chiang, R. H. (2018). How does social media impact Bitcoin
value? A test of the silent majority hypothesis. Journal of Management Information
Systems, 35(1), 19-52.
Nicholls, G. (2017, September). Bitcoin awareness and usage in Canada. In Canadian Stata Users’
Group Meetings 2017 (No. 08). Stata Users Group.
Schuh, S., & Shy, O. (2016). US consumers’ adoption and use of Bitcoin and other virtual currencies.
In DeNederlandsche bank, Conference entitled “Retail payments: mapping out the
road ahead.
Stix, H. (2019). Ownership and purchase intention of crypto-assets–survey results (No. 226).

 

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