Title : Fourier Nonlinear Quantile Unit Root Test of Purchasing Power Parity in Cryptocurrencies


Authors : Gour Gobinda Goswami1 & Tapas Kumar Saha


Journal Title: Applied Economics Letters Volume Number: 31 Publication Year : 2022 Issue Number: 4
Index: scopus Ranking: Q3 ISSN: 13504851, 14664 Publisher Name: Taylor and Francis
Pages : 312-322
Funding Information:
Funding Source : Self
Other Information:
Direct Sustainable Development Goals :
SDG9 Industry, Innovation & Infrastructure
Indirect Sustainable Development Goals :
SDG9 Industry, Innovation & Infrastructure
Sustainable Development Sub Goals :
Upgrade infrastructure and retrofit industries to make them sustainable
Enhance scientific research & technological capacity
Impact statement: The primary purpose of this article is to conduct the Fourier Nonlinear Unit Root Test to check Purchasing Power Parity (PPP) for seven cryptocurrencies traded in seventeen countries from 2010 to 2021. The unit root test supports the PPP hypothesis when we use each cryptocurrency separately for all the countries. However, the PPP hypothesis is strongly supported when we pool them together by country and cryptocurrency. This finding aligns with the power-of-test issue in the PPP for regular PPP testing, which also holds for cryptocurrencies. Collaboration: Other Keywords: Cryptocurrency; PPP; Fourier Nonlinear Quantile Unit Root Test; Bitcoin