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Sovereign credit spreads

Journal of Banking & Finance 2013 37(11), 4217-4225
The paper develops a structural credit risk model to study sovereign credit risk and the dynamics of sovereign credit spreads. The model features endogenous default and recovery rates that both depend on the interaction between domestic output fluctuations and global macroeconomic conditions. We show that sovereigns choose to default at higher levels of economic output once global macroeconomic conditions are bad. This yields to default rates and credit spreads that are substantially higher compared to normal times. We derive closed-form expressions for sovereign debt values and default times and focus on the dynamics of sovereign credit spreads. As opposed to standard theories of sovereign debt, this paper’s structural model generates much richer default patterns and non-linearities through regime-shifts in the global macroeconomic environment. Moreover, changes in the global environment reveal the interconnectedness of the financial system.

Cash-flow shortage as an endogenous bankruptcy reason

Journal of Banking & Finance 2005 29(6), 1509-1534
This paper develops a simple model for a leveraged firm and endogenizes the firm’s bankruptcy point by assuming that equity issuance is costly. Equity-issuance costs reflect the difficulties in issuing new equity for firms that are close to financial distress. The resulting model captures cash-flow shortage as a reason to go bankrupt, though the equity value is positive. I analyze the optimal bankruptcy point as well as corporate bond prices and yield spreads for various levels of equity-issuance costs in order to study the impact of different liquidity constraints. Finally, I discuss the consequences on optimal capital structure.

Is recovery risk priced?

Journal of Banking & Finance 2014 40, 257-270
Recovery risk to explain corporate debt premia has not received much attention so far, most likely due to the difficulties around decomposing the expected loss. We exploit the fact that differently-ranking debt instruments of the same issuer face identical default risk but different default-conditional recovery rates. This allows us to isolate implied recovery under the T-forward measure without any of the rigid assumptions employed by prior studies. We find a pronounced systematic component in recovery rates for which investors should receive a premium. Comparisons to physical realizations show that the premium is quite time-stable and similar for different debt seniorities.

Measuring Liquidity in Bond Markets

Review of Financial Studies 2016 29(5), 1170-1219
In the literature, there is no consensus on a common approach to measure bond liquidity. This paper is the first to comprehensively compare all commonly employed liquidity measures based on intraday and daily data for the U.S. corporate bond market. We find that high-frequency measures based on intraday data are very strongly correlated, implying that previous results should be robust regarding the chosen measure. Most low-frequency proxies based on daily data generally also measure transaction costs well. However, three proxies clearly take the lead: Corwin and Schultz's (2012) high-low spread estimator, Roll's (1984) measure, and Hasbrouck's (2009) Gibbs measure.

Investment timing, liquidity, and agency costs of debt

Journal of Corporate Finance 2010 16(2), 243-258 open access
This paper examines the effect of debt and liquidity on corporate investment in a continuous-time framework. We show that stockholder–bondholder agency conflicts cause investment thresholds to be U-shaped in leverage and decreasing in liquidity. In the absence of tax effects, we derive the optimal level of liquid funds that eliminates agency costs by implementing the first-best investment policy for a given capital structure. In a second step we generalize the framework by introducing a tax advantage of debt, and we show that an interior solution for liquidity and capital structure optimally trades off tax benefits and agency costs of debt.

Equilibrium Price Dynamics of Emission Permits

Journal of Financial and Quantitative Analysis 2018 53(4), 1653-1678
This article presents a stochastic equilibrium model for environmental markets that allows us to study the characteristic properties of emission permit prices induced by the design of today’s cap-and-trade systems. We characterize emission permits as highly nonlinear contingent claims on economy-wide emissions and reveal their hybrid nature between investment and consumption assets. Our model makes predictions about the dynamics and volatility structure of emission permit prices, the forward price curve, and the implications for option pricing in this market. Empirical evidence from existing emissions markets shows that the model explains the stylized facts of emission permit prices and related derivatives.

Managing renewable energy production risk

Journal of Banking & Finance 2018 97, 1-19
The growing share of renewables paired with their intermittent nature introduces significant new challenges for market participants along the value-chain in power markets. Taking the view of an owner of such a physical renewable asset we showcase the management of the associated stochastic production risks in Germany, one of the most dynamic electricity markets and the largest producer of renewable energy in the EU-28. We find that unhedged renewable portfolios are very risky and existing vanilla derivatives are poor hedges. New exotic quantity-related weather contracts proposed by major energy exchanges (EEX) show a lot of potential but are still very illiquid. Their hedging performance is heavily driven by the market wide renewable generation portfolio which, in its current state, favors specific regions. In the long-run price-related derivatives will transform into more useful hedging instruments due to the growing importance of renewables in the formation of wholesale market prices.

Limits to arbitrage and the term structure of bond illiquidity premiums

Journal of Banking & Finance 2015 57, 143-159
Theoretical models suggest that the relation of speculators’ capital and market liquidity is highly nonlinear. Changes in capital only marginally affect liquidity when capital is available abundantly, but have a large effect when capital is scarce. In this paper, we confirm this relation within a regime-switching model using three broad measures of German bond market liquidity. We then analyze how the term structure of illiquidity premiums of German agency bonds is related to intermediaries’ capital and foreign flows. Illiquidity premiums are related to both variables only in the stress regime. The effect of intermediaries’ capital is most strongly pronounced at the short end of the term structure. In contrast, flows into and out of the illiquid bond market segment constitute a level effect as they are related to illiquidity premiums of all maturities.

An Empirical Comparison of Forward‐rate and Spot‐rate Models for Valuing Interest‐rate Options

Journal of Finance 1999 54(1), 269-305
Our main goal is to investigate the question of which interest‐rate options valuation models are better suited to support the management of interest‐rate risk. We use the German market to test seven spot‐rate and forward‐rate models with one and two factors for interest‐rate warrants for the period from 1990 to 1993. We identify a one‐factor forward‐rate model and two spot‐rate models with two factors that are not significantly outperformed by any of the other four models. Further rankings are possible if additional criteria are applied.

Measuring Liquidity in Bond Markets

Review of Financial Studies 2016 29(5), 1170-1219
In the literature, there is no consensus on a common approach to measure bond liquidity. This paper is the first to comprehensively compare all commonly employed liquidity measures based on intraday and daily data for the U.S. corporate bond market. We find that high-frequency measures based on intraday data are very strongly correlated, implying that previous results should be robust regarding the chosen measure. Most low-frequency proxies based on daily data generally also measure transaction costs well. However, three proxies clearly take the lead: Corwin and Schultz's (2012) high-low spread estimator, Roll's (1984) measure, and Hasbrouck's (2009) Gibbs measure.