| Where's
The Risk in Risk Arbitrage? |
| By Andrew Karolyi and
John Shannon |
|
The resurgence in Canadian merger and acquisition activity
in the last few years has rekindled interest in the profitability
of risk arbitrage as a strategy for Canada's institutional investment
community.1 In general, risk
arbitrage is an investment strategy that purchases the shares of
a company immediately after the announcement of a merger or acquisition
in order to lock in the fixed spread between the offer price and
the post-announcement market price for the target firm. While mergers
require approval of the target firm's management and are typically
friendly, tender offers do not require such approval and may be
hostile in nature. The announcement of a merger or tender offer
normally leads to an increase in the price of the stock of the target
and often of the acquiring firm because of the potential value-increasing
synergies.2 Between the announcement and close of a deal,
the stock tends to trade somewhere between the pre-announcement
price and the offer price and, if the deal is successful, the arbitrageur
benefits by locking in the fixed spread. The key success factor
for the arbitrageur is the ability to determine whether or not the
merger or tender offer will be successful. If the proposal fails,
the stock would be expected to decline toward pre-announcement levels,
so the downside risk is significant. Since shareholders generally
govern the outcome of the tender offer or merger proposal, rejection
is most often due to an inadequate bid or an expectation of potentially
superior bids.
This study examines the profit potential of risk arbitrage
in Canadian mergers and acquisitions (M&A). The sample comprises
37 deals valued at over $50 million that took place during 1997.
The returns and risks associated with this type of investment strategy
were measured relative to intrinsic value of the target companies
for such deals, but also relative to the specific features of different
deals. The risk and return of risk arbitrage as a strategy is particularly
interesting in the Canadian setting because of the unique industrial
structure of the market, the extent of cross-border dealing and
the smaller size of the deals. It is well-known that resource stocks
represent a disproportionately large component of the capitalization
of the Canadian market. But, it is also worth noting that, according
to Crosbie and Company, the two hottest sectors for Canadian M&A
is utilities and oil and gas, the latter comprising 14 of 37 deals
in our study. Second, of the 279 deals in the first quarter of 1998,
118 or 40 percent are cross-border deals (77 represent Canadian
takeovers of foreign firms, another 41 foreign acquisitions of Canadian
targets).3 Finally, while a $1 billion deal will often
top the list of largest deals in any quarter in Canada, similar
lists in the U.S. will top $5 to $10 billion.4
This size difference could limit the liquidity of the risk arbitrage
market in Canada.
It was found that the average return to the risk arbitrage
strategy yielded 4.78 percent in excess of the TSE 300 stock index.
With the average duration of these risk arbitrage strategies lasting
57 days, this figure translates into an annualized excess return
of 33.9 percent. The resulting abnormal returns are insensitive
to various attributes of the deal, such as the average number of
days to close the deal (or fail), the market capitalization or industry
sector of the target company, or the means of payment for the transaction.
Though readers are cautioned of the limited scope of the findings
(i.e. Canada, 1997 data, deals over $50 million), they are offered
as a puzzle and question why the profit potential of risk arbitrage
has been underestimated to date in Canada.
|
| |
| SOME BACKGROUND |
|
Several researchers, including Dodd and Ruback and
Bradley, Desai and Kim provide empirical evidence that corporate
acquisitions by tender offers provide significant and positive abnormal
returns to the shareholders of both the target and bidding firm.5
Bradley et al. look specifically at unsuccessful offers and show
that target firms in those cases experience no wealth change unless
target shareholders reject one bid and accept another made by a
rival firm. In those cases, the unsuccessful bidder realized a significant
wealth loss following rejection. Most of the share price reactions
occur on the day of the announcement by the rival firm. For the
target, if the initial bid is rejected because it is too low and
if no subsequent bid materializes, a greater positive abnormal return
is achieved. This initial gain, however, tends to dissipate over
the next two years. Several studies have extended the findings by
Dodd and Ruback and Bradley et al. to predict tender offer success
from information available to the potential bidding firm before
the conveyance of the tender offer.6
The most closely related article to this study
is Dukes, Frohlich and Ma which examined 761 tender offers in the
U.S. between 1971 and 1985.7
They determined that 82 percent of the transactions were profitable
yielding average abnormal returns of 24.6 percent over 52.4 days
on average (annualized yield of 171 percent). They also found that
the abnormal return increases inversely with the level of success
probability, which is measured by the largest price spread relative
to some pre-announcement benchmark relative to the tender premium
based on the offer price.
Using Crosbie and Company's database, all announced
takeover bids for Canadian publicly-traded targets in 1997 were
identified where the market capitalization of the target company
was over $50 million.8 The average
transaction represented about $572 million in capitalization with
a typical duration of 57.3 days (Table 1). The largest contingent
of risk arbitrage candidates originated in the oil and gas sector
with 14 deals. The oil and gas transactions were typically shorter
in duration (44 days) and on average smaller in size ($410 million).
Deals in relatively more closely-regulated industries such as financial
services, paper and forest products and communications and media
take relatively longer to complete than average. Though not reported
in Table 1, all but three deals (91 percent) were successful by
year end. This is very close to the 89 percent success rate for
tender offers in the larger Dukes et al. U.S. sample.
|
| |
| RISK ARBITRAGE SPREADS |
|
Returns for the risk arbitrage deals are
summarized in Table 1 and Figure 1, which present the mean raw and
adjusted spreads and betas. The spreads are annualized using the
formulas noted in the Endnotes. The betas are computed from daily
returns during the pre-announcement year and up to the ten days
before the announcement date itself. Note that the duration of each
offerand consequently the holding period for the risk arbitrage
strategyvaries, so that comparisons across deals are not straightforward.
Nevertheless, the annualized equivalent returns provide some guidelines.
The average risk arbitrage spread was 7.81 percent. On an annualized
basis, with an average duration of 57.3 days, the spread translates
into 52.25 percent. To put these results into context, the largest
return was examined (20.2 percent or 115.4 percent annualized) for
the Polymer takeover of Dominion Textile in December 1997 where
the tender price of $12.10 per share ultimately closed at $14.55
after 64 days. This consumer products deal was not unusual for companies
in that sector, as the other three deals generated the highest average
spread of 13.04 percent (64.11 percent annualized). Financial services
and oil and gas risk arbitrage deals followed closely averaging
about 9 and 7 percent (more than 43 percent annualized), respectively.
9
Over the year, the TSE 300 index return
13.47 percent. As a result, the 52.25 percent overall annualized
risk arbitrage spread would have easily cleared the market benchmark,
particularly if we consider that the average pre-announcement period
betas for the target stocks was 0.517. To address this benchmark
issue more formally, the adjusted spreads were also computed in
Table 1. These measure the spreads on the target firms from announcement
date to close/failure date in excess of the TSE 300 return (without
dividends reinvested) over the same horizon. On average, the adjusted
spread was 4.79 percent which translates into an annualized 33.9
percent.
Figure 1 shows that the distribution of
raw and adjusted spreads for M&A transactions is significantly
positively skewed. In fact, only five of the 37 deals yielded zero
or negative raw spreads and none declined by more than 6 percent.
By contrast, eleven deals yielded more than 10 percent. For the
adjusted spreads, the distribution shifts closer to zero, but the
number of large positive outcomes (eight deals exceeding 10 percent)
exceeds the large negative outcomes (-8.55 percent is lowest adjusted
spread for the Ranger Oil takeover of Elan Energy).
|
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| WHERE'S THE RISK? |
|
Several types of comparisons were
used to assess the risk involved in the business of risk arbitrage.
First, the annualized return from a conservative buy-and-hold strategy
was evaluated by benchmarking the risk arbitrage spreads with the
return on the TSE 300 index. These results were presented in Table
1 and Figure 1. This naïve benchmark captures relative performance,
but, of course, ignores the risk exposures from investing in these
target companies.
|
|
|
Looking At The Deals
|
| The
average risk arbitrage spread was 7.81%, annualized to 52.25%.
|
| Industry
Sector |
Number
of Deals
|
Average
Duration of Deal (days)
|
Market
Capitalization ($ millions)
|
Average
Spread
|
Average
Annualized
Spread
|
Average
Adjusted Spread
|
Averaage
Annualized Adjusted Spread
|
Betas
|
|
Communications
&
Media
|
1
|
78.0
|
923.0
|
8.53%
|
39.91%
|
-4.06%
|
-19.01%
|
0.464
|
| Consumer
Products |
4
|
82.3
|
510.0
|
13.04%
|
64.11%
|
5.32%
|
26.35%
|
0.376
|
| Financial
Services |
4
|
82.0
|
1807.0
|
9.28%
|
35.35%
|
4.37%
|
7.79%
|
0.649
|
| Industrial
Products |
5
|
42.2
|
127.6
|
3.23%
|
31.52%
|
1.38%
|
33.29%
|
0.807
|
| Merchandising |
2
|
37.0
|
108.5
|
3.32%
|
35.84%
|
4.61%
|
78.59%
|
0.297
|
| Oil
& Gas |
14
|
43.9
|
410.0
|
6.19%
|
47.26%
|
6.36%
|
37.19%
|
0.496
|
| Paper
& Forest |
4
|
85.8
|
1256.5
|
6.46%
|
36.24%
|
4.61%
|
27.29%
|
0.616
|
| Real
Estate |
1
|
42.0
|
375.0
|
23.37%
|
203.1%
|
14.71%
|
127.8%
|
0.179
|
| Transportation |
2
|
50.5
|
99.5
|
9.75%
|
61.19%
|
2.02%
|
3.15%
|
0.361
|
| Total
All Transactions |
37
|
57.3
|
571.6
|
7.81%
|
52.25%
|
4.79%
|
33.93%
|
0.517
|
| Note:
Betas are computed from daily returns during the 250 days prior
to the announcement period which runs 10 days on either side
of the announcement date. Adjusted spread is computed as the
excess return of the target company relative to the TSE 300
index. |
|
|
A second method used to compare
risk and return of different investments is to compute the risk-adjusted
excess return. This is usually done by first estimating the systematic
risk, or beta, of the investment and then subtracting the corresponding
portfolio of the market (TSE 300 index) return. A positive excess
return would suggest that there is profit beyond the compensation
justified by the underlying risk. As Dukes et al. point out, the
concept of adjusting for systematic risk is less relevant in the
case of M&A deals because the target firms usually experience
significant reorganization or restructuring in response to tender
offers. As a result, the risk structure of the firm may change dramatically
around the time of the tender offer. While the estimate of risk
using conventional statistical procedures may be biased, the magnitude
of the changes may still provide clues on relative risk. For each
deal, the pre-announcement period beta for the target firm was computed
using daily returns in the year before announcement and an "in play"
beta using the daily returns from 10 days following the announcement
to the close of the deal. The 10 days before and after the announcement
date were excluded in order to minimize the influence of the unusually
large returns during the announcement period. Table 1 shows that
the pre-announcement betas of the targets averaged 0.517, much lower
than expected for the risky nature of the deals in which the companies
are involved.10 In unreported
results, the "in play" betas were even lower with an average of
0.393. Some of the most dramatic declines occur for those sectors
that experience the highest risk arbitrage spreads, including consumer
products and paper and forest products. Only for one sector, financial
services with its four deals, did the in-play beta increase relative
to its pre-announcement beta, and this is driven primarily by an
outlier in the Investors Group takeover of Quorum Growth in May
1997. This comparison is problematic not only because of measurement
problems, but also because during the "in-play" period especially
for all-cash offers the movement of the market is unlikely
to have any impact on the price of the target firm. The betas are
more likely to reflect non-market specific influences, such as new
bidders, changes in the bid price or an increase in the probability
that the new bid will be successful.11
Though problems inherent in these
risk measures must be acknowledged, risk arbitrageurs surprisingly
appear to benefit not only from spreads that outperform a buy-and-hold,
but also from changing risks associated with these strategies. To
capture both effects together, Figure 2 shows the cumulative abnormal
returns to the risk arbitrage strategy in event time from 50 days
prior to the announcement date until the deal closed of failed.12
The cumulative pre-announcement returns--which the arbitrageur would
not accrue--represent about 5 percent up to the announcement date.
The most significant single-day jump of 4 percent occurs on the
announcement date and by Day 50 following the announcement the abnormal
return cumulates to a total of 17 percent. The risk arbitrageur
takes advantage of the cumulative returns from the close of the
announcement date only and would have achieved on a risk-adjusted
basis 5.95% over 50 days, or 43.4 percent annualized.
The third method used to incorporate
the risks of the risk arbitrage strategy focuses on deal-specific
elements. The deal element consists of factors such as the expected
time to close, necessary regulatory approvals, strategic fit of
the two entities, conditions of the agreement, payment mechanisms
(cash versus stock or mixed offers), and the financial health of
the bidder and target. These factors are distinct from value-specific
elements which relate to the intrinsic valuation of the target,
such as other recent comparable transactions, potential competing
bidders, the company's ultimate worth relative to the current bid
price.13 To evaluate these deal-specific
factors, multivariate regression analysis of the raw and adjusted
spreads was performed against a series of variables which relate
to deal-specific factors. These factors include the number of days
to close, the pre-announcement betas, the pre-announcement (2-week
and 12-month prior) stock price run-up and an oil and gas sector
dummy variable. Days to close is a potential proxy for the likelihood
of success as it may signal the impact of subsequent offers from
competing bidders, which are not double counted in the sample.14
Also included are value-relevant risk attributes of the target as
control variables, including the capitalization of the target, and
price-to-sales and price-to-book ratios based on the share price
two weeks prior to the announcement.
|
Table 2 presents the summary statistics from the regression analysis
presented separately for the raw and adjusted non-annualized spreads.
In the first regression using raw spreads, it was found that the market
capitalization variable is marginally significant with a positive
coefficient of 0.051. That spreads are positively related to size
runs counter to our priors from the size effect literature which suggests
that the smaller, less liquid deals would be riskier and should command
a higher risk premium. Another variable that is significantly negatively
related to raw spreads is the 2-week pre-announcement run up. That
is, the profits that risk arbitrage yield are smaller if there is
a larger run-up immediately before the announcement. Schwert 15
suggests that the relationship between the run-up and the "mark-up"
(what we call risk arbitrage spreads) may be a reflection of the total
control premium paid by the acquirer. To the extent that a large run-up
reflects either trading by insiders or toehold acquisitions by potential
bidders, he predicts that the mark-up does not have to be as large
to achieve control, so that the mark-up and run-up would be substitutable.
While he finds little evidence of correlation between markups and
run-ups, our evidence is consistent with his prediction. Interestingly,
while we would expect the duration of the deal to best represent the
indirect proxy for the risk of deal failure (based on previous studies),
the coefficient is positive, but not significant statistically. Overall,
the intercept coefficient is significantly positive indicating the
robustness of the risk arbitrage spreads to these deal-specific attributes.
The coefficient of determination (or R2)
for the regression is 30.9 percent, or 7.96 percent adjusted for the
number of variables in the regression. |
|
What Is Significant?
|
| A regression analysis of returns
shows that market capitalization is marginally significant and
that the 2-week pre-announcement run up is significantly negatively
related. |
| Regression Variable |
Spreads Adjusted |
Spreads |
| Intercept |
0.1754 (2.59)**
|
0.0447 (1.86)*
|
| Market Capitalization (logarithm) |
0.0507 (1.66)* |
0.0334 (0.80) |
| Beta |
-0.0388 (-1.23) |
0.0214 (0.49)
|
| Price to Sales Ratio (x 10-3) |
0.5564 (0.14) |
0.5216 (0.09) |
| Price to Book Ratio |
-0.0014 (-0.44) |
-0.0021 (-0.48) |
| Oil &Gas Dummy |
0.0284 (0.83) |
0.0357 (0.77) |
| Days to Close (x 10-3) |
0.0688 (0.12)
|
0.1922 (0.25)
|
| Cash Offer Dummy |
-0.0162 (-0.50)
|
0.0076 (0.17) |
| Pre-Announcement Run-Up
(2 week) |
-0.1879 (-2.13)**
|
-0.1396 (-1.16) |
| Pre-Announcement Run-Up (1 year) |
0.0178 (0.61) |
0.0307 (0.76) |
| R2
(adjusted) |
0.309 (0.079) |
0.135 (-0.015) |
| F-statistic |
1.346 |
0.470 |
| Note: Oil & Gas Dummy
equals one for all deals in the oil & gas sector; otherwise,
zero. Cash Offer dummy equals one for all cash or mixed cash/stock
offers; otherwise, zero. Betas are computed using 1 year of
daily returns prior to the acquisition announcement period which
runs 10 days before and after the announcement date. R2 is the
coefficient of determination and F-statistic tests the null
hypothesis that all the regression variables are insignificant.
** denotes significance at the 5% level, *, at the 10% level.
|
|
| The second regression repeats
the analysis for the adjusted spreads (non-annualized). In this case,
none of the deal-specific variables are statistically significant,
including the market capitalization and the pre-announcement run-up,
though the signs of the coefficients are similar. The days to close
variable has a larger coefficient than with the raw spreads, but it
is still insignificant. The intercept coefficient for the adjusted
spreads regression is lower, as expected, but it is also still significant.
The R2
drops dramatically to 13.5 percent or -1.5 percent adjusting for the
number of variables in the regression, which indicates that the explanatory
power of these deal-specific factors is poor. |
| |
| IMPLICATIONS |
|
The evidence from this study has
several interesting implications. It is possible for average investors
in Canada to participate in risk arbitrage, long considered the
domain of more informed, skilled traders. Such investors would have
earned significantly higher than normal profits in the process of
risk arbitrage. Most merger and acquisition studies show that shareholders
do not necessarily lose the incremental wealth accumulated between
announcement of the acquisition and the resolution date, even if
the tender offer fails. This is the key factor in the significant
spreads in risk arbitrage and the findings of this study support
this argument. Not only do risk arbitrage investors earn higher
returns than for a conservative buy-and-hold strategy, but also
the magnitude of their excess returns are insensitive to a number
of deal-specific attributes, such as the number of days to close,
payment method, size of the deal and the pre-announcement share
price run-up.
It remains to be seen if these
risk-return patterns in the M&A market in Canada in 1997 are
an anomaly or an exception that proves the rule. One indisputable
fact is that the opportunities to evaluate such a strategy will
continue as the M&A market of the 1990s continues to blossom
in Canada.
|
| Andrew Karolyi is a professor, Fisher College
of Business, Ohio State University in Columbus and John Shannon works
on the equity derivatives desk, Nesbitt Burns Inc., in Toronto |
| |
| ENDNOTES |
|
This research was prepared as an independent study (Business
699) by John Shannon, MBA 1998 at the Rischard Ivey School of Business,
University of Western Ontario, under the supervision of Professor
Andrew Karolyi. The views expressed in this study are solely those
of the authors and do not necessarily represent opinions of Nesbitt
Burns, Inc. We are grateful to comments of Craig Dunbar, Steve Foerster,
Bruce Langstaff (Bunting Warburg) and especially Paul Halpern. All
remaining errors are our own.
1. Crosbie and Company (Toronto
Globe & Mail, March 16, 1998) report that in the first quarter
of 1998, 279 deals worth $42 billion were announced, a 75 percent
increase from the first quarter of 1997.
2. Seminal studies of this
phenomenon include M. Bradley, A. Desai and E. H. Kim, 1983 "The
rationale behind interfirm tender offers: information or synergy,"
Journal of Financial Economics, pp. 183-206, and P. Dodd and R.
Ruback, 1977, "Tender offers and stockholder returns: an empirical
analysis," Journal of Financial Economics, pp. 351-374. A useful
summary is found in G. Wyser-pratte, 1982, Risk Arbitrage II, (new
York University's Salomon Brothers Center, New York), and F. Weston,
K. Chung and J. Siu, 1998, Takeovers, Restructuring and Corporate
Governance (Prentice Hall, New York). A recent contribution by F.
Cornelli and D. Li, "Risk Arbitrage in Takeovers" (University of
Michigan working paper, 1998) models the informational asymmetry
between management and arbitrageurs in the takeover process.
3. See Globe & Mail, March
16, 1998, ibid.
4. Fidelity's Merger Fund manages
about $300 million in assets for risk arbitrage. See Barron's "Mutual
Funds World's Safest Stock Fund," September 18, 1995).
5. See Bradley et al. (1983,
ibid.) and Dodd and Ruback (1977, ibid.).
6. See R. Walkling, "Predicting
tender offer success: A logistic analysis," Journal of Financial
and Quantitative Analysis, pp. 461-478, W. Samuelson and L. Rosenthal,
1986, "Price movements as indicators of tender offer success" Journal
of Finance, pp. 481-499, and K. Brown and M. Raymond, 1986, "Risk
arbitrage and the predication of successful corporate takeovers,"
Financial Management, pp. 54-66.
7. W. Dukes, C. Frohlich and
C. Ma, 1992, "Risk arbitrage in tender offers," Journal of Portfolio
Management, Summer, pp. 47-55.
8. We limited our sample only
to those deals that were both announced in and completed/failed
in 1997. Further, following Dukes et al. (1992), we eliminated from
our sample any transactions with a higher degree of complexity in
locking in a spread on the announcement date, such as the existence
of a "boot" in a tender offer. A "boot" involves some security exchanges
at an undetermined stock ratio and which would require the arbitrageur
to make a valuation estimate on the bidder's stock.We assumed that
the best price that the arbitraguer could acquire the stock at was
the closing price on the day of the announcement or the closing
price on the day after announcement, if the announcement was made
after the market close. The end price received by the arbitrageur
is the offer price or the price at the end of the trading day that
the companny announces publicly that the takeover bid has failed.
If the tender offer is successful, the spread is computed as,
SPREADi
= (Pioffer - Piannounce)/
Piannounce x 365/daysi,
where Pioffer
is the tender offer price for the ith
offer, Piannounce
is the announcement date price for the ith
offer, and daysi is the duration
of the deal in days. If the tender offer fails, the return is computed
as,
SPREADi
= (Piclose - Piannounce)/
Piannounce x 365/daysi,
where Pi>close
is the actual market closing price on the expiration date of the
failed offer. The latter return is computed assuming that the arbitrageur
sells the shares back to the market when the offer is not accepted.
We also compute adjusted spreads by subtracting the TSE return (without
dividends reinvested) matched over the same deal duration period.
The adjusted spreads are annualized in the same way.
9. Cambridge's takeover of Markborough
in June 1997 was the sole real estate deal and it generated a 23.37
percent spread over a 42 day period (203% annualized).
10. The average betas of these
companies are likely low because of the "intervaling" effect in
betas due to non-trading factors.
11. I thank Paul Halpern and
Bruce Langstaff for clarifying this point.
12. We compute the raw daily
returns for each target stock and subtract the TSE 300 index return
adjusted by the company's pre-announcement beta. These abnormal
returns are averaged across all 37 target companies in event time
(with the announcement date equal to Day 0) and cumulated from Day
-50 to Day +50 or the close/fail date, whichever comes first.
13. Wyser-Pratte (1982, ibid.,
Chapter 1) defines this dichotomy of deal and value elements.
14. For example, London Insurance
Group was acquired by Great-West Life Company at $34 after 140 days,
but only after Royal Bank initiated with the first bid at $28. We
thank Paul Halpern and Bruce Langstaff for clarifying this important
point.
15. W. Schwert (1996) "Markup
pricing in mergers and acquisitions," Journal of Financial Economics,
pp. 153-192, shows that the pre-bid runup and the post-announcement
increase in the target's stock price his reference to 'markup'
are generally uncorrelated. n
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