Über diesen Artikel
Online veröffentlicht: 20. Aug. 2020
Seitenbereich: 473 - 482
Eingereicht: 28. Nov. 2019
Akzeptiert: 01. Feb. 2020
DOI: https://doi.org/10.2478/amns.2020.2.00025
Schlüsselwörter
© 2020 Jun Duan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
This paper described the volatility characteristic of the rate of return of financial asset by using QR-GARCH model, through introducing EVT model and constructing the extreme risk measure model based on QR-GARCH-EVT. In this paper, HS300 index data test was applied to show that under 5% significance level, and QR-GARCH-EVT model can effectively measure the risk value of the sample, but under 1% significance level. QR-GARCH-EVT model will underestimate the risk value of the sample to a certain degree, but generally speaking, compared with other models, the risk value measured by QR-GARCH-EVT model has a higher accuracy to enhance effectiveness.