This article examines the contribution of hedging to firm value and the cost of hedging in a unified framework. Optimal hedging and firm value are explicitly linked to firm risk, the type of debt covenants and the relative priority of the hedging contract. It is shown that in some cases hedging is possible only if the counterparty to the forward contract also holds a significant portion of the debt. Also, the spread in the hedging contract reduces the optimal amount of hedging to less than the minimum-variance hedge ratio. Among other results this article elucidates why some firms hedge using forward contracts while other firms hedge in the futures markets, as well as why higher priority forward contracts are more efficient hedging vehicles.

Richard A. Brealey, Ian A. Cooper, Evi Kaplanis; What is the International Dimension of International Finance?, European Finance Review, Volume 3, Issue 1,

This study documents the fact that large dividend increases are followed by a significant increase in leverage, consistent with management increasing the dividend to use up excess debt capacity. However, the leverage increase is not captured by a standard partial adjustment model of leverage. Nor does it reflect variables known to be related to dividend increases, such as firm maturity, investment, and risk. Instead, the dividend increase signals a complex change in the way firms adjust to their leverage target, but it does not signal a change in the target.

The literature on international equity holdings distinguishes between home bias (overweighting of home stocks) and foreign bias (relative underweighting for more “distant” countries). The two biases can be integrated into one distance-based model. We define pure home bias as the excess of home bias relative to this model, and find pure home bias only in emerging markets. Countries with high tax rates and low credit standing have higher pure home bias, and more development comes with lower distance aversion. Methodologically, the choice of portfolio bias measure matters. We find the best measure to be a covariance-based measure relative to the world average.