The Technology and Economic Determinants of Cryptocurrency Exchange Rates: The Case of Bitcoin

Decision Support Systems, 2017, 95, 49-60

35 Pages Posted: 27 Oct 2014 Last revised: 29 May 2019

See all articles by Xin Li

Xin Li

City University of Hong Kong (CityU) - Department of Information Systems

Chong (Alex) Wang

City University of Hong Kong

Date Written: October 15, 2014

Abstract

Cryptocurrencies, such as Bitcoin, have ignited intense discussions. Despite receiving extensive public attention, theoretical understanding is limited regarding the value of blockchain-based cryptocurrencies, as expressed in their exchange rates against traditional currencies. In this paper, we conduct a theory-driven empirical study of the Bitcoin exchange rate (against USD) determination, taking into consideration both technology and economic factors. To address co-integration in a mix of stationary and non-stationary time series, we use the autoregressive distributed lag (ARDL) model with a bounds test in the estimation. Meanwhile, to detect potential structural changes, we estimate our empirical model on two periods separated by the closure of Mt. Gox (one of the largest Bitcoin exchange markets). According to our analysis, in the short term, the Bitcoin exchange rate adjusts to changes in economic fundamentals and market conditions. The long-term Bitcoin exchange rate is more sensitive to economic fundamentals and less sensitive to technological factors after Mt. Gox closed. We also identify a significant impact of mining technology and a decreasing significance of mining difficulty in the Bitcoin exchange price determination.

Keywords: Bitcoin; Exchange rate; Error correction model; Dual perspective; Technology-related factor; Mining technology

Suggested Citation

Li, Xin and Wang, Chong, The Technology and Economic Determinants of Cryptocurrency Exchange Rates: The Case of Bitcoin (October 15, 2014). Decision Support Systems, 2017, 95, 49-60, Available at SSRN: https://ssrn.com/abstract=2515233 or http://dx.doi.org/10.2139/ssrn.2515233

Xin Li (Contact Author)

City University of Hong Kong (CityU) - Department of Information Systems ( email )

83 Tat Chee Avenue
Kowloon
Hong Kong

Chong Wang

City University of Hong Kong ( email )

Information Systems, College of Business
City Univercity of Hong Kong
Kowloon
Hong Kong

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