Multiple-step value-at-risk forecasts based on volatility-filtered MIDAS quantile regression: Evidence from major investment assets
Forecasting multiple-step value-at-risk (VaR) consistently across asset classes is hindered by the limited sample size of low-frequency returns and the potential model misspecification when assuming identical return distributions over different holding periods. This paper hence investigates the pred...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
LLC "CPC "Business Perspectives"
2021-09-01
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Series: | Investment Management & Financial Innovations |
Subjects: | |
Online Access: | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/15555/IMFI_2021_03_Chen.pdf |