Forecasting Value-at-Risk Using High-Frequency Information
in the prediction of quantiles of daily Standard&Poor’s 500 (S&P 500) returns we consider how to use high-frequency 5-minute data. We examine methods that incorporate the high frequency information either indirectly, through combining forecasts (using forecasts generated from returns...
Main Authors: | Huiyu Huang, Tae-Hwy Lee |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2013-06-01
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Series: | Econometrics |
Subjects: | |
Online Access: | http://www.mdpi.com/2225-1146/1/1/127 |
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