Extreme events: a study of small oil and gas firms

摘要

The oil and gas industry is subject to different types of risks, many of which have the potential to generate extreme results. Classifying extreme events as global, industry specific and firm specific, we use a Bayesian probability model and the Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) model to evaluate the impact of disclosure of extreme events on returns and return volatilities. The results suggest political events have more of a pronounced effect compared to those classified as economic events. The overall effects are more pronounced at the global and firm-level classifications. At the firm level, extreme economic events have a more significant impact than political extreme events.