Work

Cryptocurrency Market Modelling with Heavy-tailed Distributions

Year: 2026

Type: article

Abstract: The dataset comprises daily adjusted closing prices for BNB, ETH, LTC and XRP, obtained from Yahoo Finance using the yfinance Python package. The sample covers the period from 1 January 2018 to 7 November 2026, subject to data availability. To ensure consistency across the four cryptocurrencies, only dates with complete price observations for all assets are retained. The resulting dataset is exported in both CSV and Excel formats for subsequent analysis.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24099437

Authors: MAKATJANE, KATLEHO, ADEBAYO, FATAI, Banthusitse, Sydeny

Institutions: University of the Western Cape, University of Botswana

Language: English

Topic: Complex Systems and Time Series Analysis

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7225757407

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