This paper uses a panel of 24184 UK firms over the period 1993-2003 to study the extent to which the sensitivity of investment to cash flow differs at firms facing different levels of internal and external financial constraints. Our results suggest that when the sample is split on the basis of...

This paper analyses how firms’ capital-labour ratio is affected by cash flow, leverage, and collateral, and how this effect differs at firms more and less likely to face financing constraints using a rich UK firm-level data set. It is common in the literature to examine the impact of financial...

Using a panel of 79,841 Chinese firms over the period 2000-2007, we examine the extent to which liquidity constraints affect firms. assets growth. We find that state owned enterprises are not affected, while the availability of internal finance represents a binding constraint for the growth of...

We use a panel of 9381 UK firms to study the links between firms’ global engagement status and their financial health. We estimate inventory investment equations augmented with a financial composition variable, and interpret the sensitivity of inventory investment to the latter as a measure of...

Cummins et al. (2006) construct a new measure of fundamentals, and show that the positive cash flow effects typically found in investment-Q models disappear when traditional Q is replaced with their new measure. Their results are not robust to small changes in their specification or in the...

We investigate the empirical linkages between sales uncertainty and firms’ inventory investment behavior while controlling for firms’ financial strength. Using large panels of manufacturing firms from several European countries we find that higher sales uncertainty leads to larger stocks of...

We construct a dynamic monopolistic competition model with heterogeneous firms to study the links between firms’ earnings volatility, the degree of financial constraints that they face, their survival probabilities, and their export market participation decisions. Our model predicts that more...