Abstract: This paper employs high frequency transactions data on the world’s oldest and most extensive centralized peer-to-peer Bitcoin market, which enables trade in the currencies of more than 135 countries. It presents an algorithm that allows, with high probability, the detection of “crypto vehicle transactions” in which crypto currency is used to move capital across borders or facilitate domestic transactions. In contrast to previous work which has used “on-chain” data, this paper’s approach enables one to investigate parts of the vastly...
(read more)