
handle: 10889/10894
We compare the performance of two parametric methods with one non parametric for day-to-day Value-at-Risk models for 63 stocks traded in NYSE or NASDAQ for three different sample sizes and two significance levels. We find that Historical Simulation is more accurate, but also more dependent on its past VaR violations than GARCH and Variance Covariance model.
GARCH, 330, 332.6, Variance-covariance, Kupiec’s unconditional coverage test, Historical simulation, Έλεγχος ανεξαρτησίας του Christoffersen, Μήτρα διακύμανσης-συνδιακύμανσης, Christoffersen’s independence test, Μεικτός έλεγχος του Christoffersen, Christoffersen’s joint test, Έλεγχος του Kupiec, Έλεγχος ανεξαρτησίας του Haas, Μεικτός έλεγχος του Kupiec, Mixed Kupiec test, Independence test by Haas, Ιστορική προσομοίωση
GARCH, 330, 332.6, Variance-covariance, Kupiec’s unconditional coverage test, Historical simulation, Έλεγχος ανεξαρτησίας του Christoffersen, Μήτρα διακύμανσης-συνδιακύμανσης, Christoffersen’s independence test, Μεικτός έλεγχος του Christoffersen, Christoffersen’s joint test, Έλεγχος του Kupiec, Έλεγχος ανεξαρτησίας του Haas, Μεικτός έλεγχος του Kupiec, Mixed Kupiec test, Independence test by Haas, Ιστορική προσομοίωση
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