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Do Firms Use Derivatives to Reduce their Dependence on External Capital Markets?

Review of Finance 2002 6(2), 163-187 open access
This study investigates if the use of derivatives by corporations is likely to affect their financing strategies. I find a strong positive relation between the minimum revenue guaranteed by hedging and investment expenditure. This result implies that hedging increases the likelihood that investments can be financed internally. I also find that firms tend to finance their investment expenditures externally rather than internally. If external capital is more costly than internal capital it would clearly be in a firm's interestto reduce its dependence on external capital. Consistent with this result, Ifind that the median firm that does not hedge finances 100% of its investment expenditures externally, while the median firm that hedges finances only 86% of investments externally. JEL classification codes: G32

Hold-up and the use of performance-sensitive debt

Journal of Financial Intermediation 2016 26, 47-67 open access
We examine whether performance-sensitive debt (PSD) is used to reduce hold-up problems in long-term lending relationships. We find that the use of PSD is more common in the presence of a long-term lending relationship and if the borrower has fewer financing alternatives available. In syndicated deals, however, the presence of a relationship lead arranger reduces the use of PSD because a lead arranger has little incentive to hold-up a client. Further supporting the hypothesis that hold-up concerns motivate the use of PSD, we find a substitution effect between the use of PSD and the tightness of financial covenants.

The Global Distribution of Economic Activity: Nature, History, and the Role of Trade1

Quarterly Journal of Economics 2018 133(1), 357-406 open access
We explore the role of natural characteristics in determining the worldwide spatial distribution of economic activity, as proxied by lights at night, observed across 240,000 grid cells. A parsimonious set of 24 physical geography attributes explains 47% of worldwide variation and 35% of within-country variation in lights. We divide geographic characteristics into two groups, those primarily important for agriculture and those primarily important for trade, and confront a puzzle. In examining within-country variation in lights, among countries that developed early, agricultural variables incrementally explain over 6 times as much variation in lights as do trade variables, while among late developing countries the ratio is only about 1.5, even though the latter group is far more dependent on agriculture. Correspondingly, the marginal effects of agricultural variables as a group on lights are larger in absolute value, and those for trade smaller, for early developers than for late developers. We show that this apparent puzzle is explained by persistence and the differential timing of technological shocks in the two sets of countries. For early developers, structural transformation due to rising agricultural productivity began when transport costs were still high, so cities were localized in agricultural regions. When transport costs fell, these agglomerations persisted. In late-developing countries, transport costs fell before structural transformation. To exploit urban scale economies, manufacturing agglomerated in relatively few, often coastal, locations. Consistent with this explanation, countries that developed earlier are more spatially equal in their distribution of education and economic activity than late developers.

Financial Constraints, Competition, and Hedging in Industry Equilibrium

Journal of Finance 2007 62(5), 2445-2473 open access
ABSTRACT We analyze the hedging decisions of firms, within an equilibrium setting that allows us to examine how a firm's hedging choice depends on the hedging choices of its competitors. Within this equilibrium some firms hedge while others do not, even though all firms are ex ante identical. The fraction of firms that hedge depends on industry characteristics, such as the number of firms in the industry, the elasticity of demand, and the convexity of production costs. Consistent with prior empirical findings, the model predicts that there is more heterogeneity in the decision to hedge in the most competitive industries.