Motivated by features of low latency data in finance we study in detail discrete-valued Levy processes as the basis of price processes for high frequency econometrics.  An important case of this is a Skellam process, which is the difference of two independent Poisson processes.  We propose a...

Motivated by features of low latency data in financial econometrics we study in detail integervalued Lévy processes as the basis of price processes for high frequency econometrics. We propose using models built out of the difference of two subordinators. We apply these models in practice to low...

We investigate the intraday dependence pattern between tick data of stock price changes using a new time-varying model for discrete copulas. We let parameters of both the marginal models and the copula vary over time using an observation driven autoregressive updating scheme based on the score...

The Poisson distribution has been widely used for modelling rater agreement using loglinear models. Mostly in all life or social science researches, subjects are being classified into categories by rater, interviewers or observers and most of these tables indicate that the cell counts are...

We adapt the heterogeneous firm trade models of Helpman, Melitz, and Rubinstein (2008) and Lawless (2010) to analyze extensive and intensive trade margins using state-level exports to foreign nations. Our theoretical analysis provides definitive predictions for the effects of changes in fixed...

Count data are primarily categorised as cross-sectional, time series, and panel. Over the past decade,Poisson and Negative Binomial (NB) models have been used widely to analyse cross-sectional and timeseries count data, and random effect and fixed effect Poisson and NB models have been used to...