Efficiency of the financial markets during the COVID-19 crisis: Time-varying parameters of fractional stable dynamics

被引:9
|
作者
Ammy-Driss, Ayoub [1 ]
Garcin, Matthieu [2 ]
机构
[1] ESILV, F-92916 Paris, France
[2] Leonard de Vinci Pole Univ, Res Ctr, F-92916 Paris, France
关键词
Alpha-stable distribution; Dynamic estimation; Efficient market hypothesis; Financial crisis; Hurst exponent; HURST EXPONENT; DISTRIBUTIONS; DENSITY; RISK; IDENTIFICATION; STABILITY; MOTION; TESTS;
D O I
10.1016/j.physa.2022.128335
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This paper investigates the impact of COVID-19 on financial markets. It focuses on the evolution of the market efficiency, using two efficiency indicators: the Hurst exponent and the memory parameter of a fractional Levy-stable motion. The second approach combines, in the same model of dynamic, an alpha-stable distribution and a dependence structure between price returns. We provide a dynamic estimation method for the two efficiency indicators. This method introduces a free parameter, the discount factor, which we select so as to get the best alpha-stable density forecasts for observed price returns. The application to stock indices during the COVID-19 crisis shows a strong loss of efficiency for US indices. On the opposite, Asian and Australian indices seem less affected and the inefficiency of these markets during the COVID-19 crisis is even questionable.& COPY; 2022 Elsevier B.V. All rights reserved.
引用
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页数:17
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