By: |
Francois-Éric Racicot (Département des sciences administratives, Université du Québec (Outaouais) et LRSP);
Raymond Théoret (Département de stratégie des affaires, Université du Québec (Montréal));
Alain Coen (Département de stratégie des affaires, Université du Québec (Montréal)) |
Abstract: |
A very promising literature has been recently devoted to the modeling of
ultra-high-frequency (UHF) data. Our first aim is to develop an empirical
application of Autoregressive Conditional Duration GARCH models and the
realized volatility to forecast future volatilities on irregularly spaced
data. We also compare the out sample performances of ACD GARCH models with the
realized volatility method. We propose a procedure to take into account the
time deformation and show how to use these models for computing daily VaR. |
Keywords: |
Realized volatility, Ultra High Frequency GARCH, time deformation, financial markets, Daily VaR. |
JEL: |
C22 C53 G14 |
Date: |
2006–07–06 |
URL: |
http://d.repec.org/n?u=RePEc:pqs:wpaper:152006&r=rmg |