We investigate intradaily seasonal patterns on the distribution of high frequency financial returns. Using quantile regression we show the expansions and shrinks of the probability law through the day for three years of 15 minutes sampled stock returns. Returns are more dispersed and less concentrated around the median at the hours near the opening and closing. We provide intradaily value at risk assessments and we show how it adapts to changes of dispersion over the day.
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Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number
2006077.
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
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Hansen, Bruce E, 1994.
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Joan Jasiak & C. Gourieroux, 2006.
"Dynamic Quantile Models,"
Working Papers
2006_4, York University, Department of Economics.
[Downloadable!]
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