Oil is perceived as a good diversification tool for stock markets. To fully understand this potential, we propose a new empirical methodology that combines generalized autoregressive score copula functions with high frequency data and allows us to capture and forecast the conditional...

This study is motivated by the development of credit-related instruments and signals of stock price movements of large banks during the recent financial crisis. What is common to most of the empirical studies in this field is that they concentrate on modeling the conditional mean. However,...

Die Bedeutung von Derivaten für Anleger auf Finanzmärkten nimmt zu. Gleichzeitig wird es immer wichtiger, bei der Entscheidung über Kauf und Verkauf derartiger Titel die Unsicherheit der zukünftigen Preisentwicklung zu berücksichtigen. Die Annahmen, die den bei der Analyse derartiger...

This paper examines the joint time series of the S&P500 index and its options with a two-factor Hawkes jump-diffusion model that captures jump propagation (i.e., the phenomenon in which the strike of one jump substantially raises the probability for more to follow). The propagation effect...