Moutsinga, Claude Rodrigue BambePindza, EdsonMare, Eben2023-04-242023-04-242022-10-01Moutsinga, C.R.B., Pindza, E., Mare, E. 2022, 'Numerical simulations of cryptocurrency asset flow fractional differential equations', Applied Mathematics & Information Sciences, vol. 16, no. 5, pp. 761-771, doi : 10.18576/amis/160510.1935-0090 (print)2325-0399 (online)10.18576/amis/160510http://hdl.handle.net/2263/90423The cryptocurrency market has grown exponentially since its inception in 2009. Asset price movements in this emerging market have been the subject of several research studies aimed at explaining their patterns. This article proposes a robust fractional time spectral method for studying a three-dimensional fractional differential equation which describes the flow and stability of cryptocurrency assets. The method relies on the fractional spectral integration matrix operator. We demonstrate the efficiency of the numerical method with comparison to existing methods.en© 2022 NSP Natural Sciences Publishing Cor. This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Applied Mathematics and Information Sciences following peer review. The definitive publisher-authenticated version: Moutsinga, C.R.B., Pindza, E., Mare, E. 2022, 'Numerical simulations of cryptocurrency asset flow fractional differential equations', Applied Mathematics & Information Sciences, vol. 16, no. 5, pp. 761-771, doi : 10.18576/amis/160510 is available online at: http://www.naturalspublishing.com/show.asp?JorID=1&pgid=0.CryptocurrencyChebyshev polynomialFractional integralSpectral methodPostprint Article