We study the impact of the macroeconomic environment on business exit in a world where acquisition and bankruptcy are co-determined. We estimate competing risk hazard regression models using data on UK quoted firms spanning a 38-year period that witnessed several business cycles. We find that the processes determining bankruptcies and acquisitions depend on the macroeconomic environment. In particular, macroeconomic instability has opposing effects on bankruptcy hazard and acquisition hazard, raising the former and lowering the latter. While bankruptcy hazard is counter-cyclical and acquisition hazard pro-cyclical, the US business cycle is a better predictor than the UK cycle itself. Copyright (c) The London School of Economics and Political Science 2008.

We bring to light a significant aspect of firm level heterogeneity over the business cycle. Analysing the responsiveness of firm growth (quoted UK companies) to aggregate shocks, we find that the effects of aggregate shocks are more pronounced for firms in the middle range of growth. Rapidly growing and rapidly declining firms are less sensitive to aggregate shocks than firms in the interior of the growth range. This is consistent with the fact that the higher moments of the distribution of firm growth rates have significant cyclical patterns. These findings throw new light on growth of firms as well as on business cycle dynamics.

Emerging countries are held to be subject to more frequent and more pronounced external and internal shocks than their developed counter-parts. This suggests that key variables pertaining to their markets, including their exchange rates, will be marked by greater likelihood of extreme observations and large fluctuations. We focus on the hypothesis that compared to developed country exchange rates, emerging country exchange rates will be more pronouncedly heavy-tailed. We find support for the hypothesis using recently proposed robust tail index estimation methods which, in particular, perform well under heavy-tailed dependent GARCH processes that are often used for modeling exchange rates. According to the estimation results obtained in the paper, variances may be infinite for several emerging country exchange rates. Tail index values ζ = p ∈ (2.6, 2.8) appear to be at the dividing boundary between the two sets of countries: while the moments of order p ∈ (2.6, 2.8) are finite for most of the developed country exchange rates, they may be (or are) infinite for most of the emerging country exchange rates. We also study the impact of the on-going financial and economic crisis, and find that heavy-tailedness properties of most exchange rates did not change significantly with the onset of the crisis. At the same time, some foreign exchange markets have experienced structural changes in their heavy-tailedness properties during the crisis.