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Arc length tests for comparing the dynamics between GARCH processes

Ferebee Tunno and Javier Muñoz Ruiz

Vol. 18 (2025), No. 3, 459–471
Abstract

We present an arc length test that compares the conditional volatility structures between independent, stationary GARCH processes. A wide variety of simulations are conducted that reveal the power and error of this test to be reasonable and robust with some exceptions. An application involving the daily returns from four major penny cryptocurrencies is presented as well. The years 2020 and 2021 are considered, but since the daily closing prices in 2021 behave very differently from those in 2020, the two years are treated separately.

Keywords
conditional volatility, arc length, GARCH, cryptocurrency
Mathematical Subject Classification
Primary: 60G10
Milestones
Received: 23 June 2023
Revised: 6 January 2024
Accepted: 12 January 2024
Published: 28 April 2025

Communicated by Robert B. Lund
Authors
Ferebee Tunno
Department of Mathematics and Statistics
Arkansas State University
Jonesboro, AR
United States
Javier Muñoz Ruiz
Department of Mathematics and Statistics
Arkansas State University
Jonesboro, AR
United States