Risk‐Sharing or Risk‐Taking? Counterparty Risk, Incentives, and Margins

AuthorFLORIAN HEIDER,MARIE HOEROVA,BRUNO BIAIS
DOIhttp://doi.org/10.1111/jofi.12396
Published date01 August 2016
Date01 August 2016
THE JOURNAL OF FINANCE VOL. LXXI, NO. 4 AUGUST 2016
Risk-Sharing or Risk-Taking? Counterparty Risk,
Incentives, and Margins
BRUNO BIAIS, FLORIAN HEIDER, and MARIE HOEROVA
ABSTRACT
Derivatives activity,motivated by risk-sharing, can breed risk-taking. Bad news about
the risk of an asset underlying a derivative increases protection sellers’ expected
liability and undermines their risk-prevention incentives. This limits risk-sharing,
creates endogenous counterparty risk, and can lead to contagion from news about the
hedged risk to the balance sheet of protection sellers. Margin calls after bad news
can improve protection sellers’ incentives and in turn enhance risk-sharing. Central
clearing can provide insurance against counterparty risk but must be designed to
preserve risk-prevention incentives.
DERIVATIVES ACTIVITY HAS GROWN strongly over the past 15 years. For example,
credit default swaps (CDS), bilateral over-the-counter contracts used to insure
credit risk, alone saw total notional amounts outstanding increase from around
$180 billion in 1998 to a peak of over $60 trillion by mid-2008 (Acharya et al.
(2012)). But the insurance provided by derivatives is effective only if counter-
parties can honor their contractual obligations. When Lehman Brothers filed
for bankruptcy protection in September 2008, for instance, it froze the positions
of more than 900,000 derivative contracts (about 5% of all derivative transac-
tions globally) in which Lehman Brothers was a party (Fleming and Sarkar
(2014)).
The above observations lead to several questions. First, what are the inter-
actions between counterparty risk and derivatives activity? Second, can risk-
sharing via derivatives lead perversely to risk-taking by financial institutions?
And third, how can derivatives activity be made more resilient to risk? This
paper seeks to address these questions. In particular, we explain how deriva-
tives positions affect risk-taking incentives, we show how margin deposits and
clearing arrangements can be designed to mitigate counterparty risk, and we
Biais is with the ToulouseSchool of Economics (CRM/CNRS IDEI). Heider and Hoerova are with
the European Central Bank and CEPR. We would like to thank the Acting Editor (Markus Brun-
nermeier), an Associate Editor, two anonymous referees, our discussants Ulf Axelson, Jonathan
Berk, Sugato Bhattacharyya, Bruce Carlin, Simon Gervais, Artashes Karapetyan, Christine Par-
lour, Alp Simsek, and Lauri Vilmi, as well as numerous seminar and conference participants for
their comments and suggestions. The views expressed do not necessarily reflect those of the Euro-
pean Central Bank or the Eurosystem. Biais gratefully acknowledges the support of the European
Research Council (Grant 295484-TAP). We have read the Journal of Finance’s disclosure policy
and have no conflicts of interest to disclose.
DOI: 10.1111/jofi.12396
1669
1670 The Journal of Finance R
provide new empirical predictions about the extent of derivatives activity in a
given financial environment and the default risk of institutions selling protec-
tion through derivatives.
Our model features risk-averse protection buyers who want to insure against
a common exposure to risk (any idiosyncratic component of risk can be diver-
sified away among protection buyers themselves). To insure the common risk,
protection buyers contact risk-neutral protection sellers whose assets can be
risky, but who are not directly exposed to the risk that buyers want to insure.
Because of limited liability, protection sellers can make insurance payments
only if their assets are sufficiently valuable. The value of a protection seller’s
assets is affected by her actions. Specifically, protection sellers can maintain
the value of their assets, and in turn prevent downside risk, by exerting costly
effort. For example, protection sellers can put in place strong internal risk
management systems (see Ellul and Yerramilli (2013)) and carefully scruti-
nize the quality of potential investments before undertaking them. However,
protection sellers may avoid costly risk-prevention effort by choosing weaker
internal risk controls or by relying on external credit ratings and simple
backward-looking measures of risk. The failure of protection sellers to exert
risk-prevention effort (what we call “risk-taking” ) leads to counterparty risk
for protection buyers. Since financial institutions’ balance sheets and activities
are opaque and complex, a lack of risk-prevention effort is difficult for outsiders
to detect. This creates a moral hazard problem for protection sellers, the key
friction in our model.
Our model builds on two important characteristics of derivatives activity.
First, during the life of a derivative contract, new information about the value of
an underlying asset becomes available. Such news affects the expected payoffs
of the contracting parties: it makes the derivative position an asset for one
party and a liability for the other. Second, derivative exposures, and hence the
associated potential liabilities, can be large. According to the Quarterly Report
on Bank Derivatives Activities by the Office of the Comptroller of the Currency,
total credit exposure from derivatives reached more than $1.5 trillion in 2008.1
The total credit exposure of the top five financial institutions was 2 to 10 times
larger than their risk-based capital.
A key insight of our analysis is that a large derivative exposure undermines
a protection seller’s incentives to exert risk-prevention effort when news makes
the derivative position an expected liability for her. In that case, she bears the
full cost of risk-prevention effort while part of this effort’s benefit accrues to
her counterparty in the form of payments from the derivative contract. This
mechanism is reminiscent of debt overhang (Myers (1977)) but there is an
important difference. In our analysis, the liability arises endogenously in the
1Total credit exposure is the sum total of net current credit exposure (NCCE) and potential
future exposure (PFE). NCCE is the gross positive fair value of derivatives contracts less the
dollar amount of netting benefits. PFE is an estimate of what the current credit exposure could be
over time, based upon a supervisory formula in the risk-based capital rules.

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