In this study we examine the persistence of a firm's ability to differentiate itself from its peers and stand out in a crowd of competitors through IT innovation. By using cross-sectional data set of large US firms from 1997-2004, our empirical evidence shows that prior IT innovation experience...

This paper considers Value at Risk measures constructed under a discrete mixture of normal distribution on the innovations with time-varying volatility, or MN-GARCH, model. We adopt an approach based on the continuous empirical characteristic function to estimate the param eters of the model...

This paper extends the stochastic conditional duration model by imposing mixtures of bivariate normal distributions on the innovations of the observation and latent equations of the duration process. This extension allows the model not only to capture the asymmetric behavior of the expected...

In this paper, we propose the use of static and dynamic copulas to study the leverage effect in the S&P 500 index. Copula models can conveniently separate the leverage effect from the marginal distributions of the return and its volatility. Daily volatility is proxied by a measure of realized...

We examine the ability of the simple linear-quadratic model under rational expectations to explain dynamic behaviour of aggregate Canadian imports. In contrast to authors of previous studies who examine dynamic behaviour using the LQ model, we estimate the structural parameters using the Euler...

This paper examines determinants of the proportion of females in the establishment as this variable can affect the male- female wage gap in an important way. Our search for the determinants is guided by two views of the labour market, namely discrimination and coincidence of needs between firms...

This paper investigates whether there are variants of the permanent income model that are consistent with seasonally unadjusted quarterly postwar Canadian data. The analysis is based on a misspecification-test equation which nests the standard permanent income model. The results obtained are...

This paper proposes a new time-deformation model for stock returns sampled in transaction time and directed by a generalized duration process. Stochastic volatility in this model is driven by an observed duration process and a latent autoregressive process. Parameter estimation in the model is...