ssrn-id945977
TRANSCRIPT
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Abstract
We examine the extent to which investment opportunities and/or mispricing motivates equity
issuance decisions and contributes to low post-issue stock returns. Using a methodology
developed in Rhodes-Kropf, Robinson, and Viswanathan (2005) to decompose market-to-book
ratios into misvaluation and growth option components, we find that issuing firms are both
overvalued and have greater growth opportunities relative to a comparison sample of non-issuing
firms. Issuing firms with greater growth opportunities invest more aggressively in capital
expenditures and R&D after the SEO, but do not experience lower post-issue abnormal stock
returns. In contrast, issuing firms with greater mispricing tend to decrease long-term debt and/or
increase cash holdings, and do earn lower post-issue abnormal returns. Our findings are more
consistent with behavioral explanations for post-issue stock price underperformance.
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1. Introduction
It is well-documented that firms conducting seasoned equity offerings (SEOs) experience
significant stock price run-ups in the year prior to the offering and low stock returns over the
subsequent three to five years. Two alternative explanations of this pattern in returns have
appeared in the literature. The behavioral view is that the pre-issuance run-up reflects investor
overreaction to recent trends in performance, that managers are motivated to issue equity when
firms are overvalued, and that investors are slow to recognize and incorporate information
conveyed by SEO announcements.1
More recently, real investment-based rational explanations have emerged. Carlson,
Fisher, and Giammarino (2006), using a real options approach, posits that the pre-issue run-up
reflects growth options moving into the money, that managers issue equity in order to invest in
these growth options, and that lower post-issue returns reflect a decrease in firm risk as risky
growth options are converted into less risky assets in place. Li, Livdan, and Zhang (2008), using
a Q-theoretic framework, argues that firms issue equity to finance investment projects induced
by low discount rates, and because of decreasing returns to scale, the increased investment leads
to lower marginal product of capital and thereby lower expected returns, which explains the post-
SEO underperformance. Both of the rational theories predict that firms increase investment after
SEOs and that there is a negative relation between investment level and post-issue stock returns.2
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In this paper, we provide evidence on these alternative explanations using a methodology
developed in Rhodes-Kropf, Robinson, and Viswanathan (2005, hereafter RKRV) that
decomposes pre-issue market-to-book (M/B) ratios into misvaluation and growth option
components. Previous research has documented that SEO firms have higher than average
market-to-book ratios. HighM/Bratios can be viewed both as a sign of overvaluation, consistent
with the behavioral view, or as a sign of high growth options, consistent with the investment-
based rational theories. By decomposing issuing firmM/Bratios, we are able to provide sharper
tests of competing predictions as well as evidence on the possibility that both explanations
contribute to the observed pattern in performance.
The RKRV methodology uses an accounting multiples approach to break M/Bratios into
three components: firm-specific error, time-series sector error, and long-run value-to-book.3
Thefirm-specific errorcomponent measures firm-specific deviations from valuations implied by
current sector (industry) accounting multiples, and is intended to capture the extent to which the
firm is misvalued relative to its contemporaneous industry peers. The time-series sector error
component measures valuation deviations when contemporaneous sector accounting multiples
differ from long-run sector multiples. This component is used as a measure of whether the
sector, or possibly the entire market, is overvalued. The long-run value-to-book component
measures the value implied by long-run sector accounting multiples relative to book value; it is
used as a proxy for growth opportunities
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Two aspects of the RKRV methodology affect our empirical testing strategy. First,
although estimating industry misvaluation is essential to the research question investigated by
RKRV, the time-series sector error component is less informative about the hypotheses we
investigate.4 For this reason, and because of econometric issues that we discuss in the paper, our
tests of the behavioral view focus on potential misvaluation as reflected in thefirm-specific error
component ofM/B.5Second, there are potential model misspecification concerns that can make it
difficult to draw clear inferences from our findings. For example, a firm with highfirm-specific
error may not be overvalued, but instead may simply have greater growth opportunities than
other firms in its industry. Thus, an important part of our empirical testing strategy aims at
providing evidence on the extent to which the firm-specific error and long-run value-to-book
components reflect misvaluation and growth options, respectively, and can thereby serve as
useful metrics in our analysis of post-issue stock price performance.
Our empirical analysis proceeds in three steps. First, for a sample of 4325 seasoned
equity offerings over the 1970 to 2004 time period, we show that all three components of M/B,
on average, are significantly larger for issuing firms than for a comparison sample of non-issuing
firms. This finding suggests that SEO decisions may be motivated by either high levels of
misvaluation, high levels of growth opportunities, or both.
Second, to provide evidence on the usefulness of the RKRV methodology as well as
provide insight on managerial motives for issuing equity we examine the relation between the
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be positively related to the pre-issue level of growth options and uncorrelated with the level of
misvaluation. To the extent that thefirm-specific errorcomponent ofM/Breflects misvaluation,
there should be no relation between this error term and post-issue investment. Similarly, to the
extent that the long-run value-to-bookcomponent reflects the level of growth options, we should
expect to observe a positive relation between this growth option component and post-issue
investment.
To investigate post-issue investment, we follow the approach in Kim and Weisbach
(2006) and examine post-SEO changes (over horizons of 1 to 4 years) in seven accounting
variables that likely capture the use of issue proceeds: capital expenditures, R&D, total assets,
debt-reduction, cash, acquisitions and inventory.6 We regress the changes in these accounting
variables on the components of theM/Bratio while controlling for the amount of primary capital
raised in the SEO, other sources of funds generated within the firm, firm size, and fixed effects
for year and industry. This analysis yields the following results:
Post-issue investment in capital expenditures and R&D is positively related to the
long-run value-to-book component, and unrelated to the firm-specific error
component ofM/B.
Debt reduction is positively related to the firm-specific error component and
negatively related to the long-run value-to-bookcomponent ofM/B.
P i h i h i i i i l l d h fi ifi
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These findings suggest that firms with high levels of growth options invest more in real assets,
whereas firms with high valuation errors are more likely to pay down debt and/or stockpile cash.
This evidence is consistent with results from earlier studies (Graham and Harvey (2001), Kim
and Weisbach (2006), Elliot, Koeter-Kant, and Warr (2007), and DellaVigna and Pollet (2008))
suggesting that equity issue decisions are motivated by both misvaluation and financing needs.
The evidence is also consistent with the interpretation of the firm-specific error and long-run
value-to-bookcomponents ofM/Bas measures of misvaluation and growth options, respectively,
and thus paves the way for our examination of the alternative explanations of low post-issue
stock price performance.
Our last set of tests focus on the relation between post-issue stock price performance and
pre-issue components ofM/B. Behavioral theory predicts that post-issue stock returns should be
negatively correlated with the degree of overpricing at the time of issuance. In contrast, real
investment theory predicts a negative relation between post-issue stock returns and investment.
In these tests, we separate issuing firms into quartiles based on the misvaluation (firm-specific
error) and growth option (long-run value-to-book) components of M/B and then calculate long-
run post-issue abnormal returns for each quartile portfolio using calendar time factor regressions.
Our results are as follows:
We find a negative relation between the misvaluation component of M/B and
t i t i i fi ith hi h i l ti h ti t
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In contrast, we find no relation between the growth option component ofM/Band
post-issue returns; issuing firms with high levels of growth options do not have
lower post-issue abnormal returns than issuing firms with lower levels of growth
options. This evidence, taken in conjunction with our finding that issuing firms
with more growth options have higher levels of post-issue investment, is not
supportive of the real investment explanations of low post-issue stock returns.
Finally, we note that several previous studies of SEOs find that stock price
underperformance is primarily concentrated in small firms and argue that the post-issue
performance anomaly may be caused by asset-pricing model deficiencies when it comes to
valuing small firms.7 In robustness checks, we separate our sample of issuing firms into two size
groups: the small subsample includes all issuing firms with pre-issuance market capitalizations
below the 20% size breakpoint of NYSE stocks; the big subsample includes all other issuing
firms. We find that the negative relation between post-issue returns and the misvaluation
component of M/B holds for both size subsamples. For example, big firms with high
misvaluation components exhibit significant post-issue stock price underperformance, while
small firms with low misvaluation components do not underperform. These results suggest
that the stock price performance around SEOs is not simply a small firm effect; i.e., firm level
mispricing appears to be a stronger indicator of post-issue underperformance.
Th i d f th i i d f ll S ti 2 d ib th l
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2. Data
Our sample includes all firms, as identified from the SDC database, which conduct SEOs
over the period 1970 to 2004. Accounting information and stock price data are from Compustat
and CRSP, respectively. Following Rhodes-Kropf, Robinson, and Viswanathan (2005), we
merge data in the following way. To calculate and decompose M/B, we match Compustat
accounting data for fiscal year twith CRSP market value data measured three months after the
fiscal year-end. The pre-SEO M/B ratio and its components are calculated using this match of
Compustat and CRSP data if the issuance takes place four months after the fiscal year-end (i.e.,
one month after the CRSP market value data is measured). Otherwise, the SEO is matched with
data from fiscal year t-1.
To be included in the final sample, an issuing firm must have enough Compustat and
CRSP data to calculate the three components of the M/Bratio. We exclude firms that only issue
secondary shares as well as utility companies (SIC codes between 4910 and 4949), closed-end
funds (SIC codes between 6720 and 6739) and REITs (SIC code 6798). If a firm issues primary
shares more than once within a three-year period, then only the first issue is included. The final
sample has 4325 observations. Table 1 reports the number of SEOs in our final sample by year
over the period 1970 to 2004.
3 Market to book decomposition methodology
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concerns with the RKRV methodology (model misspecification and look-ahead bias) and how
these are addressed in our study.
3.1. Decomposing the market-to-book ratio
The rational and behavioral theories of stock price performance around SEOs offer
alternative explanations for high pre-issue market-to-book ratios. Behavioral theory suggests
that equity issues are more likely when firm market value, M, exceeds its true value, V. Real
investment theory suggests that equity issues are more likely after investment opportunities move
into the money resulting in a higher value-to-book ratio (V/B). This distinction underlies our
rationale for employing the RKRV methodology for decomposing M/Binto misvaluation (M/V)
and growth option (V/B) components as follows:
(1) M/B M/Vx V/B
which, in log form, can be written as
(2) )()( bvvmbm +
where lower case letters indicate logarithms of the respective variables.8 If markets know the
future growth opportunities, discount rates, and cash flows, then the term (m v) should be zero.
If markets make mistakes in estimating discounted future cash flows, or markets do not have
information that managers have, then (mv) will capture the misvaluation component of the
market-to-book ratio.
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expressed as a linear function of observable firm-specific accounting information, it , and a
vector of corresponding accounting multiples, . The RKRV methodology employs both a
vector of contemporaneous time-taccounting multiples, jt , and a vector of long-run accounting
multiples,j
, such that the market-to-book ratio for firm iat time tcan be further decomposed
into three components as follows:
(3)44 344 21444 3444 2144 344 21
booktovaluerunlong
itjit
errortor
jitjtit
errorspecificfirm
jtitititit bvvvvmbm
++= );();();();(
sec
The first term on the right hand side of Eq. (3), );( jtitit vm , referred to as firm-
specific error, measures the difference between market value and fundamental value estimated
using firm-specific accounting data, it , and the contemporaneous sector accounting multiples,
jt , and is intended to capture the extent to which the firm is misvalued relative to its
contemporaneous industry peers. The second term, );();( jitjtit vv , referred to as time-
series sector error, measures the difference in estimated fundamental value when
contemporaneous sector accounting multiples at time t, jt , differ from long-run sector
multiples, j
, and is intended to capture the extent to which the industry (or, possibly, the entire
market) may be misvalued at time t. The third term, referred to as long-run value-to-book,
measures the difference between firm value (implied by the vector of long-run sector multiples)
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income (NI) and market leverage ratio (LEV) in the accounting information vector. 9 Expressing
market value as a simple linear model of these variables yields:
(4) ititjtitjtitjtitjtjtit LEVNIINIbm +++++= +