The question we address is whether mandated disclosure about dispersion of non-financial asset values can provide information relevant to assessing firm risk. Using a sample of Canadian oil and gas (O&G) firms between 2004 and 2011, we find that the difference between the disclosed 10th and 50th...

This paper examines how oil and gas companies' reserves growth affects their share price returns. In particular, we examine three issues affecting the relation between reserves changes and oil and gas firm returns. First, we examine if investors value reserves replacement because of exploration...

This paper examines how oil and gas companies’ reserves growth affects their share price returns. In particular we examine three issues affecting the relation between reserves changes and oil and gas firm returns. First, we examine if investors value reserves replacement as a result of...

Oil and gas reserves are the most important assets of oil and gas companies. A source of confusion for investors in oil companies, is that reserves quantities and values are uncertain estimates. Reserves are typically classified according to probabilities of recovery from underground reservoirs....

The aim of this study is to determine the effects of discovering oil on the performance of a small open economy, in this case the Falkland Islands. Using an event study approach and the return on one of the Falkland Islands´ main companies, the results suggest that the discovery of oil has...

We introduce a multivariate multiplicative error model which is driven by componentspecific observation driven dynamics as well as a common latent autoregressive factor. The model is designed to explicitly account for (information driven) common factor dynamics as well as idiosyncratic effects...

We examine the relationship between CEO ownership and stock market performance. Firms in which the CEO voluntarily holds a considerable share of outstanding stocks outperform the market by more than 10% p.a. after controlling for traditional risk factors. The effect is most pronounced in firms...

In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...

A small strand of recent literature is occupied with identifying simultaneity in multiple equation systems through autoregressive conditional heteroscedasticity. Since this approach assumes that the structural innovations are uncorrelated, any contemporaneous connection of the endogenous...