This paper provides an optimal filtering methodology in discretely observed continuous-time jump-diffusion models. Although the filtering problem has received little attention, it is useful for estimating latent states, forecasting volatility and returns, computing model diagnostics such as...

We study returns on over-the-counter stocks and find that these returns are extremely negative on average. The distribution of OTC stock returns is highly positively skewed: while many of the stocks in our sample become worthless, a few do extremely well. We investigate whether this negative...