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Economic policy uncertainty and cryptocurrencies

Chiara Oldani, Giovanni S. F. Bruno and Marcello Signorelli
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Giovanni S. F. Bruno: Bocconi University

Eurasian Economic Review, 2024, vol. 14, issue 3, No 7, 709-728

Abstract: Abstract The paper focuses on the relationship between cryptocurrencies and economic policy uncertainty (EPU) shocks by adopting robust econometric techniques. Results on monthly data from 2016 to 2022 confirm that the volumes of cryptos are stationary, and the short- and long-run impacts of uncertainty shocks are significantly positive, and, in most cases, begin to show already in the first six months after the shock. When uncertainty significantly prevails, investors increase their demand for cryptos. The ARDL(12,11) specifications for Bitcoin show a significant increase in volumes of around 1% occurring over a year after a unit increase in economic policy indices. Conclusions from the findings are related to supervision, and monitoring of markets and financial stability.

Keywords: Autoregressive distributed lag model; Cryptocurrency; Economic policy uncertainty; Financial stability; Financial regulation (search for similar items in EconPapers)
JEL-codes: C22 E6 G18 O38 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s40822-024-00271-1

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