Size Anomalies in U.S. Bank Stock Returns

AuthorPRIYANK GANDHI,HANNO LUSTIG
Published date01 April 2015
Date01 April 2015
DOIhttp://doi.org/10.1111/jofi.12235
THE JOURNAL OF FINANCE VOL. LXX, NO. 2 APRIL 2015
Size Anomalies in U.S. Bank Stock Returns
PRIYANK GANDHI and HANNO LUSTIG
ABSTRACT
The largest commercial bank stocks, ranked by total size of the balance sheet, have
significantly lower risk-adjusted returns than small- and medium-sized bank stocks,
even though large banks are significantly more levered. Weuncover a size factor in the
component of bank returns that is orthogonal to the standard risk factors, including
small minus big, which has the right covariance with bank returns to explain the
average risk-adjusted returns. This factor measures size-dependent exposure to bank-
specific tail risk. These findings are consistent with government guarantees that
protect shareholders of large banks, but not small banks, in disaster states.
BANKS ARE DIFFERENT FROM NONFINANCIAL FIRMS in many ways. One of the most
salient distinctions is that banks are subject to bank runs during banking
panics and crises, not just by depositors, but also by other creditors (see Gor-
ton and Metrick (2012)andDufe(2010)). Because financial crises are high
marginal utility states for the average investor, the expected return on bank
stocks should be especially sensitive to variation in the anticipated financial
disaster recovery rates of bank shareholders related to bank size, the regu-
latory regime, implicit government guarantees, and other characteristics. For
example, if a bank is deemed too big to fail, the expected return on its stock is
lower in equilibrium than that of smaller banks holding the exact same assets
in their portfolio because the government absorbs some of the large bank’s tail
risk. We find evidence that the pricing of bank-specific tail risk in the stock
market depends on all of these bank characteristics.
To explore the asset pricing implications of financial disasters, our paper
studies historical bank stock returns in the United States. We find that there
Gandhi is with Mendoza College of Business, University of Notre Dame and Lustig is with
Anderson School of Management, University of California at Los Angeles. The authors thank the
Editors, Cam Harvey and Ken Singleton, as well as the Associate Editor and several referees for
excellent suggestions. The authors also thank Viral Acharya, Martin Bodenstein, Markus Brun-
nermeier, John Campbell, John Cochrane, Ron Feldman, Cesare Fracassi, Etienne Gagnon, Mark
Garmaise, Amit Goyal, Mark Grinblatt, Jennifer Huang, John Krainer, Arvind Krishnamurthy,
David Laibson, Jonathan Parker, Lasse Pedersen, Andrea Raffo, Richard Roll, Jan Schneider,
Martin Schneider, Clemens Sialm, Skander Vandenheuvel, Rob Vishny, and Baolian Wang for
many for detailed and helpful comments, as well as seminar participants at University of Texas
at Austin, Chicago Booth, New York University Stern, Harvard Economics, the Federal Reserve
Board of Governors, the Federal Reserve Bank of San Francisco, the Society for Economic Dynam-
ics 2010 Annual Meeting in Montreal, and the 2010 Stanford Institute for Theoretical Economics
for detailed and helpful comments.
DOI: 10.1111/jofi.12235
733
734 The Journal of Finance R
is a size effect in bank stock returns that is different from the market capital-
ization effects that have been documented in nonfinancial stock returns (see
Banz (1981) and many others). All else equal, a 100% increase in a bank’s book
value lowers its annual return by 2.23% per annum. For nonfinancial stocks,
there is no similar relation between book value and returns (Berk (1997)).
These return differences cannot be imputed to differences in standard risk
exposure. A long position in the stock portfolio of the largest commercial banks,
measured by deciles of total book value, and a short position in the stock
portfolio of the smallest banks underperforms an equally risky portfolio of all
(nonbank) stocks and bonds by more than 7% per annum. The average alphas
are small but positive for commercial banks in the first five deciles and then
decrease for the largest banks in the top three deciles.
Small banks differ from large banks in many ways, but these differences
should not lead to differences in average risk-adjusted returns on bank port-
folios unless there is bank-specific tail risk that is priced but not spanned by
the traded returns on other stocks in the sample. We find evidence of such a
risk factor in bank stock returns: the second principal component of the risk-
adjusted returns on size-sorted portfolios of commercial banks is a size factor
that has exactly the right covariance with the portfolio returns to account for
most of this pricing anomaly. By construction, this size factor is orthogonal to
the stock and bond risk factors.
This highly levered size portfolio, determined by the second principal com-
ponent, which goes long in small bank stocks and short in large bank stocks,
loses an average of 41 cents during National Bureau of Economic Research
(NBER) recessions per dollar invested at the start, after hedging out exposure
to standard stock and bond risk. We attribute the cyclical banking size factor
in the data to size-dependent differences in the perceived shareholder recovery
rates on these bank portfolios during financial disasters.
In a version of the Barro (2006), Rietz (1988), and Longstaff and Piazzesi
(2004) asset pricing model with a time-varying probability of rare events, de-
veloped by Gabaix (2012), Wachter (2013), and Gourio (2008), financial disas-
ters that disproportionately impact bank cash flows contribute an additional
bank-specific risk factor. These rare events are priced into the expected returns
on portfolios of banks, but are not fully spanned by the returns on other assets
in a small sample. A general equilibrium version of our model can match the
average alphas in a sample without disasters if the financial disaster recovery
rate is 35 cents higher for large banks, in line with the failure rate of banks in
the lowest decile during the latest crisis.
Historically, the probability of a financial disaster increases during reces-
sions. Because of the size-contingent nature of the recovery rate for bank stock-
holders in the case of a financial disaster, the variation in the probability of
a financial disaster generates a common business cycle factor in the normal
risk-adjusted returns of size-sorted bank stock portfolios; the loadings of bank
stock portfolio returns on this size factor are determined by the recovery rates
and hence by size. Small banks have positive loadings while large banks have
Size Anomalies in U.S. Bank Stock Returns 735
negative loadings. As the probability of a financial disaster increases, the ex-
pected return gap between small and large banks grows.
In the United States, shareholder recovery rates for banks depend on size.
During financial disasters, large banks fare much better, even though they are
more levered than their smaller counterparts. A total of 30% of publicly traded
commercial banks in the first size decile were delisted in 2009 but there were
no delistings in the last decile.
Why study the effect of bailouts on bank equity? The anticipation of future
bailouts of bondholders and other creditors always benefits shareholders (see
Kareken and Wallace (1978)) ex ante. Furthermore, during a crisis, there may
be massive uncertainty about the resolution regime, especially for large finan-
cial institutions. As a result, government guarantees will inevitably tend to
benefit shareholders ex post as well. Clearly, the U.S. government and regu-
lators are willing to let small banks fail, but not large banks. Acharya and
Yorulmazer (2008) point out that bailouts may be ex post efficient if a suffi-
ciently large fraction of banks is impacted. Of course, ex ante, one could have
expected that the government would wipe out shareholders of large financial
institutions in the case of a bailout. Our evidence suggests that this is not what
market participants expect.
Government guarantees essentially grant stockholders of large banks a menu
of path-dependent put options that can only be exercised after large declines
in a broad index of stocks. This essentially reduces the negative co-skewness
of large bank stock returns, but not of small banks. In our sample, large bank
stock returns are indeed less negatively skewed and feature less co-skewness,
even though the Harvey and Siddique (2000) skewness factors constructed from
nonfinancial stocks cannot fully account for the variation in average returns
on size-sorted bank portfolios.
Toback out the implicit financial tail risk premium or discount charged by the
shareholders of commercial banks, we multiply the loadings on the size factor
by its risk price. The implicit insurance provided against financial disaster
risk lowers the expected equity return for the largest U.S. commercial banks
by 1.97%, but the additional exposure to bank-specific tail risk increases the
expected return on the smallest bank stocks by 2.85%, compared to a portfolio
of nonbank stocks and bonds with the same standard risk characteristics. The
largest banks have an average market capitalization of $140 billion in 2005
dollars. For the largest commercial banks, this amounts to an annual savings of
$2.76 billion per bank. The market imposes large financial tail risk “subsidies”
(“taxes”) on large (small) bank stocks compared to a portfolio of stocks and
bonds with the same observed risk profile. There is direct evidence from option
markets to support this conclusion: Kelly, Lustig, and Nieuwerburgh (2011)
find that out-of-the-money put options on large banks were cheap during the
crisis.
The pricing of financial tail risk depends not only on bank size. We relate
the financial disaster premium of banks to the regulatory regime. Commercial
banks, which have access to the discount window and benefit from deposit
insurance, and government-sponsored enterprises (GSEs), which benefit from

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