Article
Measurement of Risk Based on QR-GARCH-EVT Model
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Abstract
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.
Keywords
Value at Risk, QR-GARACH, EVT, 91B30
Citation
Duan, J. & Zhang, B. (2020). Measurement of risk based on QR-GARCH-EVT model. Applied Mathematics and Nonlinear Sciences, 5(2). https://doi.org/10.2478/amns.2020.2.00025
J. Duan and B. Zhang, “Measurement of risk based on QR-GARCH-EVT model,” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 2, 2020, doi: 10.2478/amns.2020.2.00025.
Duan J, Zhang B. Measurement of risk based on QR-GARCH-EVT model. Applied Mathematics and Nonlinear Sciences. 2020;5(2). doi:10.2478/amns.2020.2.00025.
Duan, J. and Zhang, B. (2020), ‘Measurement of risk based on QR-GARCH-EVT model’, Applied Mathematics and Nonlinear Sciences, 5(2). Available at: https://doi.org/10.2478/amns.2020.2.00025.
Duan, Jun, and Baoshuai Zhang. “Measurement of Risk Based on QR-GARCH-EVT Model.” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 2, 2020. https://doi.org/10.2478/amns.2020.2.00025.
Duan, Jun, and Baoshuai Zhang. “Measurement of Risk Based on QR-GARCH-EVT Model.” Applied Mathematics and Nonlinear Sciences 5, no. 2 (2020). https://doi.org/10.2478/amns.2020.2.00025.
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Published by: Engineering Journals


