Mutual Fund Holdings of Credit Default Swaps: Liquidity, Yield, and Risk

Date01 April 2021
AuthorJITAO OU,WEI JIANG,ZHONGYAN ZHU
DOIhttp://doi.org/10.1111/jofi.12996
Published date01 April 2021
THE JOURNAL OF FINANCE VOL. LXXVI, NO. 2 APRIL 2021
Mutual Fund Holdings of Credit Default Swaps:
Liquidity, Yield, and Risk
WEI JIANG, JITAO OU, and ZHONGYAN ZHU*
ABSTRACT
This study analyzes the motivations for and consequences of funds’ credit default
swap (CDS) investments using mutual funds’ quarterly holdings from pre- to postf‌i-
nancial crisis. Funds invest in CDS when facing unpredictable liquidity needs. Funds
sell more in reference entities when the CDS is liquid relative to the underlying bonds
and buy more when the CDS-bond basis is more negative. To enhance yield, funds en-
gage in negative basis trading and sell CDS with the highest spreads within rating
categories, and with spreads higher than those of their bond portfolios. Funds with
superior portfolio returns also demonstrate more skill in CDS trading.
CREDIT DEFAULT SWAPS (CDS) GREW from a small market in the early 2000s
to a $62 trillion global market (in terms of notional amount) by 2007, the year
prior to the f‌inancial crisis (Jarrow (2011)). Despite the popularity of CDS as
a synthetic security to gain or hedge credit exposure, there has been little
empirical research on how institutional investors, an important class of end
users, employ and benef‌it from CDS contracts. Not only do mutual funds act
as both long- and short-term investors, but their trades arise from a variety of
motives, including liquidity management, speculating on private information,
and searching for yield. Mutual funds therefore provide a rich setting in which
*Wei Jiang is at Finance and Economics Division, Columbia Business School. Jitao Ou is at
the Department of Mathematics, Hong Kong Baptist University. Zhongyan Zhu is at the Depart-
ment of Banking and Finance, Monash Business School. We thank TaylorBegley, Martin Oehmke,
George Aragon, Rich Evans, Tim Riley, Ronald Sverdlove, Lorne N. Switze, Suresh Sundaresan,
Adam Zawadowski, two anonymous referees, the Associate Editor, and the Editor for valuable
comments and suggestions. We benef‌ited from discussions with seminar and conference partici-
pants at AIM Investment Conference (at Austin), Australian National, Columbia, Drexel, Monash,
Lehigh, University of Technology Sydney, the Second Annual Conference on Regulation of Finan-
cial Markets (at the SEC), FIRS, MFA,WFA, and the Financial Institutions, Regulation and Corpo-
rate Governance Conference. Zhu acknowledges the generous f‌inancial support from the Research
Grants Council (RGC490712) Hong Kong and Monash University. Zhu also thanks the excellent
research assistance of a group of over 20 college and graduate students at CUHK, especially Wu
Rui, Maggie Jingwei Lai, and Silvia Mei Ngan Wong. The authors do not have potential conf‌licts
of interest to disclose as def‌ined in The Journal of Finance’s disclosure policy.
Correspondence: Zhongyan Zhu, Department of Banking and Finance, Monash Business
School, Monash University,900 Dandenong Road, Caulf‌ield East Victoria 3145, Australia; e-mail:
zhongyan.zhu@monash.edu.
DOI: 10.1111/jof‌i.12996
© 2020 the American Finance Association
537
538 The Journal of Finance®
to test the interaction between the bond and CDS markets and the derivatives
investment strategies of institutional investors more broadly.
Using a detailed and comprehensive data set of mutual fund quarterly posi-
tions in CDS from 2006 to 2012, a period spanning the pre- and postf‌inancial
crisis eras, in this study we present a comprehensive set of empirical tests
on the motivations for and consequences of CDS investment by mutual funds.
A data overview shows that mutual funds are signif‌icant end users of CDS,
with total CDS positions outstanding ranging from 10.7 to 84.0 billion dollars
annually. As a group, mutual funds are net sellers of CDS, which the total sell-
ing notional amount during the sample period exceeded the buying notional
amount by about 50%.
Such involvement of mutual funds in the CDS market may appear curious
at f‌irst glance because CDS contracts represent “redundant” securities in that
their payoffs could be replicated by underlying securities in a perfect capital
market. For example, the credit exposure and payoff from selling CDS could be
replicated by a long position in the underlying bond. We show that with f‌inan-
cial market frictions and existing incentive structures, CDS contracts serve
multiple objectives that would be diff‌icult to achieve by trading in the under-
lying securities alone.
The f‌irst distinct motive for using CDS that we study is liquidity manage-
ment. CDS contracts require less capital and afford more liquidity to create
the same return prof‌ile as buying or selling a comparable bond from the same
issuer. Recent theory (notably Oehmke and Zawadowski (2015)) indicates that
these features make CDS contracts particularly appealing to investors with
short-horizon capital and a directional view of the credit risk of the reference
entity. Moreover, investors with long-horizon capital but no strong directional
view can employ a “negative basis trade,” whereby the investor takes a long
position in both the CDS and the underlying bonds, to capture the typically
negative spread between those positions that compensates the investor for the
illiquidity of bonds.
Our results support the theoretical predictions above. Though CDS and their
underlying bonds could be viewed as substitutes in taking long or short posi-
tions in credit exposure, mutual funds with less predictable funding f‌lows (and
hence more liquidity needs) and with longer-duration bond holdings (and hence
less liquidity realized from naturally maturing securities) are more likely to in-
vest in the CDS market. The economic magnitude of this relation is sizable: a
one-standard-deviation increase in the volatility of funding f‌lows increases the
propensity of CDS selling or buying by mutual funds by about 38% to 39%.
The relative liquidity of bonds and CDS contracts also plays a signif‌icant role.
While more liquidity on the CDS side (proxied by the number of distinct CDS
contracts on the same reference entity) encourages CDS buying and selling, it
has a larger impact on selling: a one-standard-deviation increase in CDS liq-
uidity more than doubles the likelihood of CDS selling and increases the odds
of CDS buying by 26%.
The second CDS motive we analyze is yield enhancement. CDS contracts al-
low funds to take levered risk in high-spread reference entities and thus juice
Mutual Fund Holdings of Credit Default Swaps 539
up portfolio yields without increasing the perceived risk of the portfolio com-
mensurately, due to the generally lower transparency of derivative positions
compared to long portfolios in the underlying securities.1By selling CDS con-
tracts on reference entities with credit spreads that are signif‌icantly higher
than the credit spreads of either the bond portfolio or the CDS buying posi-
tions, mutual funds gain higher yields relative to the yield of their portfolio of
bonds, in the absence of major credit events. Building on the f‌inding in prior
literature (e.g., Becker and Ivashina (2015)) that institutional investors favor
bonds with the highest yields within a given credit rating category, we expect
a similar pattern in CDS selling by mutual funds.
Consistent with this prediction, we f‌ind that mutual funds generally sell
(buy) CDS with high (low) credit spreads. The average difference peaked at
over 1,000 bps during the f‌inancial crisis and remained around 150 bps postcri-
sis. The average CDS spread which a mutual fund sells is close to 100 basis
points higher than the average credit spreads of the rest of the same fund’s
portfolio. Without taking the full credit risk in a “negative basis trade,” funds
that take long positions in both bonds and CDS earn the premium in the bond
yield in excess of the CDS spread due to the relative illiquidity of the bond
(Bongaerts, de Jong, and Driessen (2011), Oehmke and Zawadowski (2015)).
A one-standard-deviation decrease in the CDS-bond basis almost triples the
odds of a negative basis trading. Finally, mutual funds’ CDS selling is heavily
skewed toward reference entities that command the highest yields within a
given credit range, such as investment grade. The empirical frequencies of all
CDS sell positions that fall into the f‌irst, second, third, and fourth quartiles
are 9%, 12%, 25%, and 54%, respectively, rejecting the null hypothesis of no
yield-chasing, which would result in an even distribution across all quartiles.
Given that investing in derivatives is a hallmark of sophisticated strate-
gies, it is natural to ask whether the CDS positions are informed, and to what
extent they contribute to fund performance. Our analyses show that, overall,
CDS-using funds tend to have better performance, as measured by the sim-
ple market-adjusted alphas or as benchmarked against a full 10-factor (Bai,
Bali, and Wen (2019)) model. However, the intensity of CDS investment does
not seem to contribute positively to portfolio performance. While evidence is
weak that CDS trading is informed in the full sample, CDS selling by “skilled”
funds (funds that fall into the top quartile in terms of 10-factor alpha) exhibits
superior timing during and after the f‌inancial crisis.
The incremental yield earned from selling CDS comes at the cost of “hidden
tail risk” that is similar to selling disaster insurance and that is usually not
fully captured by the benchmark in real time (Rajan (2006)). Since the true
performance can only be assessed over a period that is much longer than the
1Several features of CDS make proper risk assessment by outsiders diff‌icult. First, derivatives,
including CDS, are not included in most processed holdings databases. Second, before the SEC
specif‌ied the rules for cash collateral segregation for CDS short positions in 2012, there was no
clear metric to gauge the leverage gained by CDS. Finally, because most CDS positions are initi-
ated at close to zero market value, they do not immediately affect risk metrics that are weighted
by market value.

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