A Signaling Theory of Derivatives-Based Hedging

59 Pages Posted: 1 Feb 2016 Last revised: 18 Nov 2022

See all articles by Fernando Anjos

Fernando Anjos

Nova School of Business and Economics

Adam Winegar

BI Norwegian Business School

Date Written: November 15, 2022

Abstract

This paper argues that hedging with derivatives can be an effective way for firms to overcome frictions associated with informational asymmetries. We develop a simple model where firms face financial price risk and, in addition, are privately informed about true output (e.g., expected amount of commodity to be produced). For a high-output firm needing to raise external funds from uninformed investors, hedging not only reduces expected financial distress costs but also credibly conveys that the firm is high-output, which minimizes financing costs and facilitates investment. Hedging helps in overcoming the informational asymmetry because it is costly for low-output firms to mimic, since mimicking would entail exposure to the basis risk associated with output mismatch. We show that in some cases signaling incentives cause high-output firms to depart from the hedging strategy that minimizes expected costs of financial distress. In such cases, high-output firms generally tend to over-hedge relative to their natural exposure. Finally, we show that in the presence of signaling concerns only high-output firms trade non-linear derivatives.

Keywords: hedging, risk management, derivatives, signaling

JEL Classification: G32, D82

Suggested Citation

Anjos, Fernando and Winegar, Adam, A Signaling Theory of Derivatives-Based Hedging (November 15, 2022). Paris December 2017 Finance Meeting EUROFIDAI - AFFI, Available at SSRN: https://ssrn.com/abstract=2725270 or http://dx.doi.org/10.2139/ssrn.2725270

Fernando Anjos

Nova School of Business and Economics ( email )

Campus de Carcavelos
Rua da Holanda, 1
Carcavelos, 2775-405
Portugal

HOME PAGE: http://sites.google.com/site/fernandoanjossite/

Adam Winegar (Contact Author)

BI Norwegian Business School ( email )

Nydalsveien 37
Oslo, 0442
Norway

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