Information and Insurer Financial Strength Ratings: Do Short Sellers Anticipate Ratings Changes?

Published date01 June 2016
AuthorAndre Liebenberg,Benjamin M. Blau,Chip Wade
Date01 June 2016
DOIhttp://doi.org/10.1111/jori.12063
INFORMATION AND INSURER FINANCIAL STRENGTH
RATINGS:DOSHORT SELLERS ANTICIPATE RATINGS
CHANGES?
Chip Wade
Andre Liebenberg
Benjamin M. Blau
ABSTRACT
Ratings of financial institutions have been shown to provide informational
value as stock prices generally decrease in response to ratings downgrades.
Moreover, insurer’s stock prices have been observed to decrease 2 days prior
to downgrades, suggesting that informed trading occurs during the
predowngrade period. This study examines the trading activity of short
sellers surrounding insurer financial strength ratings. We show that short
selling is abnormally high during the predowngrade period—indicating that
short sellers can predict rating downgrades. Interestingly, we find that
predowngrade short selling is driven by stocks of insurers with the most
transparent balance sheets. This result suggests that while short sellers can
predict rating downgrades generally, the opaqueness of an insurer’s assets
and liabilities can inhibit informed trading during the predowngrade period.
INTRODUCTION
Research regarding the insolvency risk of financial institutions has received
considerable attention, with good reason due to recent insolvencies in financial
institutions. Doherty and Phillips (2002) argue that insurers attempt to market their
financial strength (IFS) ratings as a signal of the firm’s financial strength. Pottier and
Sommer (1999) suggest that investors use these ratings to measure the risk of insurers,
while Parekh (2006) suggests that insurers with ratings above some specified
threshold are more popular than other insurers. Halek and Eckles (2010) find that
stock prices of insurance companies tend to move in the direction of ratings changes,
particularly for unfavorable changes, thus indicating that ratings provide informa-
tional value to the market. Further, Halek and Eckles (2010) show that returns during
the 2 days prior to downgrades are significantly negative, suggesting that the market
Chip Wade is at the Mississippi State University, 312 McCool Hall, MS 39762. Wade can be
contacted via e-mail: CWade@cobilan.msstate.edu. Andre Liebenberg is at the Department of
Finance, University of Mississippi, Oxford, MS. Benjamin M. Blau is at the Department of
Economics and Finance, Utah State University, Logan, UT.
© 2015 The Journal of Risk and Insurance. Vol. 83, No. 2, 475–500 (2016).
DOI: 10.1111/jori.12063
475
begins to move as informed investors begin to trade before the announcement of the
downgrade is made public.
The objective of this study is to examine a subset of arguably informed traders—short
sellers—around IFS ratings announcements. Specifically, we test whether the price
reaction precipitated by ratings downgrades, upgrades, and affirmed ratings are
anticipated by short sellers. Prior work generally finds that short-selling activity
contains information about future price movements as current short-selling activity
relates inversely to subsequent stock returns (Diamond and Verrecchia, 1987;
Senchack and Starks, 1993; Aitken et al., 1998; Desai et al., 2002; Boehmer, Jones, and
Zhang, 2008; Diether, Lee, and Werner, 2009). However, observing a negative relation
between short selling and subsequent returns is not tantamount to finding that short
sellers are privately informed, per se. In fact, Engelberg, Reed, and Ringgenberg (2012)
show that the negative relation between daily short selling and next-day returns is
driven by the ability of short sellers to process information that is already public.
The level of private information contained in short selling has been recently debated.
Some research indicates that short sellers are consistently able to predict negative
announcements, such as earnings announcements and analyst recommendations
(Christophe, Ferri, and Angel, 2004; Christophe, Ferri, and Hsieh, 2010). However,
other studies have shown that short-selling activity is not abnormally high prior to
negative news events as short sellers are generally reactive as opposed to being
proactive prior to firm-specific announcements (Daske, Richardson, and Tuna, 2005;
Blau and Pinegar, 2012; Blau and Wade, 2012; Engelberg, Reed, and Ringgenberg,
2012).
While our study is motivated by this debate in these foregoing studies, examining the
trades by short sellers around IFS rating announcements is particularly appealing for
two reasons. First, while insurers are often rated on an annual or quarterly basis, IFS
ratings are not usually announced on a fixed calendar date and are therefore less
predictable than other types of announcements such as earnings or analysts’
recommendations. Second, ratings are focused on insurance companies that vary in
their level of transparency as their asset and liability structure is focused in different
lines of insurance business and differs in the level of uncertainty (Ross, 1989; Baranoff
and Sager, 2002; Zhang, Cox, and Van Ness, 2009). The cross-sectional variation in
transparency of insurer liabilities and assets may adversely affect the ability of short
sellers to correctly predict upcoming ratings because of uncertainty in properly
evaluating the insurance company. Thus, the insurance industry and specifically IFS
rating announcements provide a robust framework for testing whether short sellers
trade on private information or have a superior ability to process already-public
information.
Using a sample of 165 A.M. Best ratings announcements between January 1, 2005 and
December 31, 2006, we test whether short selling is unusually high in the period
directly prior to IFS rating announcements. Our tests show abnormally high short
selling prior to downgrades, after controlling for other factors that might affect the
level of short selling. In additional tests, we find abnormally low short selling in the
days prior to the ratings upgrades and relatively normal short selling in the days prior
to announcements when ratings are affirmed (no change). Combined with our results
476 THE JOURNAL OF RISK AND INSURANCE

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