This paper studies multiscale stochastic volatility models of financial asset returns. It specifies two components in the log-volatility process and allows for leverage/asymmetric effects from both components while return innovation terms follow a heavy/fat tailed Student t distribution. The two...

In this paper, we examine the idea that a general model of consumption should allow for the direct effect of government expenditures in a two-good permanent-income model. We show, given an assumed preference specification, that there is a cointegration restriction implied by an intraperiod...

Organizations seek to differentiate themselves in the marketplace by deploying information technology (IT) to develop dynamic IT capabilities and resist competitors’ attempts to imitate or improve these capabilities. While this strategy has been justified on the grounds that dynamic IT...

We examine the theoretical, empirical, and public policy implications of the proportion of females in the establishment. Arrow's model of heterogeneous employer discrimination provides predictions that are tested. Empirical results indicate support for the theory using establishment data, but a...

In response to the widespread availability of illegal contraband, the federal and five provincial governments in Canada implemented a 40-60% reduction to cigarette excise taxes in February 1994. We exploit this unique and discrete policy shock by estimating the effects of cigarette taxes on...

This paper studies the functional of the path of a diffusion in which volatility switches between two states: high and low. For this two-state Markov-chain model, we derive a closed-form expression for the distribution function for the time spent in the high volatility state by guessing the form...

The objective of this study is to identify factors that help build an IT reputation, and to evaluate whether markets value a firm's ability to develop and sustain its IT reputation. Building on IT strategic leadership and IT business value literature, we argue that a similarity in the background...