We develop a novel term-structure model for pricing GDP-linked bonds, hypothetical securities with cash-flows indexed to the level of U.S. GDP. For this purpose, we rely on a term-structure model of equity yields estimated using the prices of dividend swaps, which we assume span GDP growth. Our approach provides a novel way of estimating the relative cost of conventional and GDP-linked bonds, as well as measuring more general market-based expectations of (and risks around) GDP growth. Our model predicts that U.S. GDP-linked bonds would typically have yields lower than those on conventional Treasury bonds with the same maturity in our sample from 2010 to 2017. Positive expected future GDP growth lowers the yield on GDP-linked bonds relative to conventional bonds, which typically more than offsets the estimated GDP risk premium demanded by investors for holding GDP risk.

Using a large sample of firms from 43 markets, we find significant time-series variation in firms’ leverage ratios around the world. Industry median leverage ratios and aggregate leverage ratios also change substantially over time. Relative to actual leverage ratios, target leverage ratios estimated from the time-varying target models are much more stable. Variance decomposition shows that leverage instability is largely driven by deviations from the target. A number of firm and market characteristics are related to capital structure instability. We also find evidence consistent with firms using financing activities to adjust their leverage ratios towards the target in global markets.