Spectral Analysis for Comparing Bitcoin to Currencies and Assets

Maria Chiara Pocelli, Manuel L. Esquível, Nadezhda P. Krasii

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
38 Downloads (Pure)

Abstract

We present an analysis on variability Bitcoin characteristics that help to quantitatively differentiate Bitcoin from the state-owned traditional currencies and the asset Gold. We provide a detailed study on returns of exchange rates—against the Swiss Franc—of several traditional currencies together with Bitcoin and Gold; for that purpose, we define a distance between currencies by means of the spectral densities of the ARMA models of the returns of the exchange rates, and we present the computed matrix of the distances between the chosen currencies. A statistical analysis of these matrix distances is further proposed, which shows that the distance between Bitcoin and any other currency or Gold is not comparable to any of the distances between currencies or between currencies and Gold and not involving Bitcoin. This result shows that Bitcoin is essentially different from the traditional currencies and from Gold, at least in what concerns the structure of its variance and auto-covariances.

Original languageEnglish
Article number1775
Number of pages21
JournalMathematics
Volume11
Issue number8
DOIs
Publication statusPublished - 7 Apr 2023

Keywords

  • ARMA modelling
  • bitcoin
  • distance between power spectral densities
  • exchange rate
  • gold
  • simulation-based testing
  • state-backed currencies

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