See http://hal.inria.fr/inria-00479824/en/ for a slightly more elaborate version.

A rapidly growing literature has documented important improvements in volatility measurement and forecasting performance through the use of realized volatilities constructed from high-frequency returns coupled with relatively simple reduced-form time series modeling procedures. Building on...

This paper, first, empirically investigates European emission allowance (EUA) prices and, second, evaluates emission trading as a policy measure. Applying combined jump GARCH models yields strong evidence of conditional jump behavior. This implies that EUA prices are subject to unexpected...

Credit spreads are large, volatile and countercyclical, and recent empirical work suggests that risk premia, not expected credit losses, are responsible for these features. Building on the idea that corporate debt, while safe in ordinary recessions, is exposed to economic depressions, this paper...

Robustified rank tests, applying a robust scale estimator, are investigated for reliable and fast shift detection in time series. The tests show good power for sufficiently large shifts, low false detection rates for Gaussian noise and high robustness against outliers. Wilcoxon scores in...

Abrupt shifts in the level of a time series represent important information and should be preserved in statistical signal extraction. We investigate rules for detecting level shifts that are resistant to outliers and which work with only a short time delay. The properties of robustified versions...