Hubris amongst U.K. bidders and losses to shareholders.
Raj, Mahendra ; Forsyth, Michael
ABSTRACT
This paper examines the performance of bidders with a hubris management during a takeover bid. Data for the study comprises of
successful bids in the UK during the 1990s, which have been identified
as having a hubris management. Valuation ratios and bid premium sizes
are the measures used to identify the sample of hubris bidders. Results
show that hubris bidders significantly lose on the announcement of a
bid.
JEL: G34, G14
Keywords: Mergers, Acquisitions, Event-study, Hubris, Bid Premium
I. INTRODUCTION
In the area of corporate control there exist many individual
theories explaining the rationale behind mergers and acquisitions. Roll
(1986) specifies that the basis for many acquisitions is a hubris
management, resulting in overpayment for the target. The mistake of
paying too much stems from management who overrate the synergistic gains
from the acquisition. This is due to the high self-worth they have in
their own managerial ability.
The aim of this paper is to identify companies whose management are
most likely to be associated with 'hubris' and study the
effects on shareholder wealth. Past studies report mixed findings in
regard to bidder returns surrounding the announcement of an acquisition.
This may be due to studying a larger sample that includes many different
motives for the takeover, distorting the results. To separate and
examine a specific takeover motive may shed new light on bidder returns.
II. TAKEOVER MOTIVATIONS AND RETURNS
In recent years there have been numerous empirical studies on
takeover activity, and these studies provide a wealth of information.
Nevertheless, differing research methods, samples, and sample periods
show an ambiguous picture concerning the value of takeovers. As a
result, there are many individual theories or explanations for mergers
and takeovers. Berkovitch & Narayanan (1993) summarised these into
three main categories--efficiency; agency conflicts; and hubris which
will be discussed in more detail.
One convincing motive for merger is 'synergy', where two
firms combined are worth more together, than they are separate (Bradley,
Desai, & Kim 1983, 1988; Jensen & Ruback 1983; Healey, Palepu,
& Ruback 1992). Sales enhancement, operating economies, economies of
scale, and new management may have synergistic effects. However, a large
body of evidence indicates that the target enjoys most of the gains
(Jensen & Ruback 1983; and Bradley, Desai, & Kim 1988).
Agency costs arise where managerial motives conflict with the
interests of shareholders. There are various reasons to explain this
conflict in interests. The pursuit of management's personal gains
rather than those of the shareholders result in the removal of value
from the acquiring firm. The impacts of managerial objectives on
acquisitions are reflected in the studies of Morck et al., (1990); and
Holl & Pickering, (1988). Continuing with the pursuit of personal
interests, Shleifer & Vishny (1988), state that management pursue
companies that need the skills they possess, thus adding managerial
security. In addition, remuneration may be an important individual
factor in the search of acquiring a company. Firth (1991) shows that in
the UK managerial remuneration increases after takeovers occur,
regardless of gains to shareholders.
III. THE HUBRIS HYPOTHESIS
Due to the mixed empirical findings regarding bidder returns, left
unsettled is the question concerning the motivation of the bidding firm
and its management in the market for corporate control. In addition to
the possibility of operational and financial synergy, takeovers may be
occurring due to perceived managerial synergy. Managerial synergy will
arise when management of the bidder is superior to that of the target.
It is argued that the stock market provides a real assessment of a
company and how it is managed by means of the price placed on its
equity. If this is so, managerial quality will be reflected in measures
such as the firm's market to book value and price to earnings
ratio. As a measure of managerial and financial performance prior to a
bid, Lang, Stulz, & Walking (1989) and Servaes (1991) use a
valuation ratio (a proxy for Tobin's q ratio). Lang, Stulz, &
Walking (1989) find a direct relation between well-managed firms
(q>1) and bidder gains in tender offers. High-q bidders experienced
gains of approximately 10%, while low-q bidders had losses of
approximately 5%. Servaes (1991) supports the findings of Lang, Stulz,
& Walking (1989), and finds the relation also holds for mergers.
Holl & Kyriazis (1997) also found similar results to that of Servaes
(1991) in that high-valued bidding companies are acquiring lower-valued
target companies in order to obtain wealth gains. In general, previous
studies show that bidders do not gain, but do not lose by a large amount
on the announcement of a takeover bid, (Limmack, 1991; Parkinson and
Dobbins 1993; and Barnes 1998). Support also comes from the US (Jensen
and Ruback, 1983; and Datta et al, 1992). Past studies regarding merger
activity study a sample that is susceptible to all three major
motivations mentioned previously. As a result, it would be difficult to
identify which major underlying factors are attributed to shareholder
losses or gains. This emphasises the importance of studying the major
theoretical debates of mergers separately.
The objective of this study is to separate and examine bidding
firms that are likely to have management who suffer from hubris. Roll
(1986) assumes that hubris stems from management's excessive
self-confidence, linking this arrogance and pride to being in control of
a highly valued, successful firm, which is bidding for a lower-valued
firm. Takeovers, in some regards, are seen as a method for ousting incompetent management where they have failed to generate adequate
shareholder returns with the firm's assets. The market evaluates
the performance of the target company through the price it places on the
equity of the firm. In the case of a poorly performing target, bidder
management can create value by improving the managerial quality or
forming profitable opportunities the present management are not capable
of. Higher managerial quality and the introduction of new business
prospects are expected from firms that have been operating successfully
in the past. However, past-success may lead to a degree of arrogance and
a feeling of supremacy, leading to the overestimation of possible
synergies or value creation from the takeover, resulting in unnecessary
overpayment.
The acquisition premium is defined as the ratio of the final price
paid per target share, divided by the price prior to the takeover bid.
The premium paid by the bidder signifies how much value can be drawn
from the target firm. Jensen (1993) reported that between 1976 and 1990
premiums averaged 41%. Barnes (1998) notes that the market expects a
premium of above 30% to be offered by the bidder to be viewed as a
serious offer. Raj & Forsyth (1999) find that the average bid
premium in the case of undervalued takeovers is 32% implying that a
lower premium is paid in this case. Hubris management may believe that
the present performance of the target is inadequate, and that the
firm's prospects will be superior in their hands. Hence the high
premium offered.
Furthermore, the prospect of many companies striving to gain
control of one company will usually result in the management suffering
from the concept of the 'winners curse'--where the successful
bidder overpays for the target, a feature common in an auction
environment. Due to being part of a high market-valued company, the
management is confident that it can continue this success once the
target has been attained. However, even if synergies were to exist from
acquiring the target, competition between bidders may exist, and result
in overpayment. Even if there was the presence of a single bidder, the
possibility of other bidders entering the race may cause the prospective
winning bidder to pay too much, and remove much of the value that may
occur from the acquisition. The overpayment for a company whose true
value may be uncertain, along with integration costs suggests the
winning bidder has been 'cursed' in the sense that the payment
exceeds the value of the purchase.
Hubris may also be connected to Mueller's (1969) managerialism hypothesis where managers are motivated to increase the size of their
company. Lewellen & Huntsman (1970) also show that compensation is
significantly correlated with profit levels. This may link
management's confidence in its ability to ensure a firm is
operating successfully while adding further to personal gain--believing
a 'no lose' situation exists from the takeover. Furthermore,
management striving to increase market power may also be subject to
hubris. Management who perceive themselves as highly successful would
naturally want to increase their standing and power. Hayward &
Hambrick (1997) state that exaggerated self-confidence contributes to
the overall CEO / management hubris. However, the hubris hypothesis
maintains that acquisitions are motivated by manager's mistakes and
that no synergistic gains are evident (Berkovitch & Narayanan,
1993).
IV. HUBRIS SCREENING PROCESS
We apply specific measures to examine the evidence of hubris within
bidding companies that were successful companies before the acquisition,
and the effect the resulting hubris has on the shareholders. The
market-to-book and price-to-earnings ratios are used to identify
companies that are successful compared to that of other companies within
the same industry. These ratios reflect how the stock market evaluates
incumbent management. High ratios as compared to industry peers indicate
management is competent and successful. In contrast, low valuation
ratios perhaps indicate management's ineffective use of assets to
maximise corporate wealth.
Once the bidding companies were identified using the two valuation
measures, a sub-set was then formed, where high bid premiums were used
as a proxy to identify a hubris management. This paper as a result
attributes a hubris management to a firm who has operated very
successfully in the past, and pays a large premium in an acquisition.
Following Crawford and Lechner (1996) the acquisition premium is
calculated over a period that does not include information regarding the
takeover. The window begins 50 trading days before the first
announcement of the takeover and ends when the offer is accepted by the
target shareholders. Bid premiums were calculated as:
(BidOffer - Targetprice - 50)/Targetprice - 50 (1)
Where Bidoffer is the final price paid per target share by the
bidder and [Targetprice.sub.-50] is the value of the target shares fifty
days prior to the first bid announcement.
The study specifically tests the hubris hypothesis by means of a
thorough screening process to single out bidders who are most likely to
have a hubris management. Therefore, by undertaking a detailed
procedure, we specifically examine one major motivation behind the
market for corporate control. It is important to understand if the
market identifies hubris management who overestimate the synergistic
gains and as a result pay too much.
Franks and Mayer (1996) indicate that multiple and hostile bidders
are associated with paying excessive premiums and so we have eliminated
these types of bids from our sample. Based on a news search of McCarthy
between 1990 and 1998, while also eliminating multiple and hostile bids,
a sample of 270 bidders acquiring 270 target firms was constructed. The
following screens were applied to the data set of 270 bidding firms to
identify a hubris management:
1. The price/earnings ratio and market-to-book ratio of each bidder
firm within the sample were collected in the year the first bid
announcement occurred.
2. The average price/earnings ratio and market-to-book ratio of the
industry the bidder firm belonged to were obtained.
3. Further screening took place to identify bidder firms that
possessed both ratios above the industry average.
4. The bid premium paid was above that of the average paid by a
control sample of bidders.
Roll (1986) argues that excessive optimism in evaluating merged
opportunities leads to an excess premium paid for the target firm. Even
with perceived synergistic benefits and the possibility of competing
rival bids, the management under the 'winner's curse phenomenon' will ensure success in completing the deal, regardless
of cost. In effect, the target firm shareholders will greatly benefit
from the excess premium offered, but the shareholders of the bidding
firm will suffer a loss in wealth. This is the basis of the hypothesis
tests within this paper:
HI: Hubris bidder performance around the announcement of a takeover
bid is inferior to the control bidder sample.
H2: The gains to target shareholders would be greater in hubris
motivated bids as compared to the control target sample.
Previous literature has reported that bidders earn approximately
zero returns around the announcement of a takeover. If this is the case,
the returns from the 90 bidders that make up the control sample should
report similar results. This leads onto the third hypothesis:
H3: Control sample bidder shareholders experience no excess returns
surrounding the announcement of a takeover.
We also examine the control sample to determine the average bid
premiums paid in the UK during a similar time period. In addition, we
study the method of payment in the acquisitions motivated by hubris to
determine any systematic pattern, and if there is any significant
difference to the control sample.
V. DATA AND METHODOLOGY
A. Data
A sample of successful takeovers by UK public firms was obtained
from 1990 to 1998. The daily share price data was collected from
Sequencer. The dates and information content of the first bid
announcement was gathered from a news search using McCarthy CD-ROM.
Application of the screening process described above resulted in a final
sample of 22 bidders in completed takeovers, from an original sample of
270 bidding firms. Share price data for the corresponding targets of the
22 'hubris' bidders were also collected. We also selected a
control sample consisting of 90 bidders and the corresponding targets
from the initial 270 bidding firms.
B. Methodology
To assess the market reaction to the firms suffering from hubris,
stock prices of the companies identified from the screening process
above are identified. The sensitivity of each bidder's daily return
is measured to the market with the market adjusted return method.
Standard event study methodology is employed to measure abnormal
returns. Daily stock returns are defined as:
Rit = (Pit - Pit -1)/ Pit - 1 (2)
The next step is to calculate the predicted or normal return
([ER.sub.i,t]), this is the return that would be observed if no event
occurred. In this case, [ER.sub.i,t], is represented by the return on
the FT-SE 100 Index for each day in the event period.
Each bidder's abnormal return is calculated over each day of
the event period as:1
ARit = Rit - ERit (3)
The abnormal returns of the n bidder in each group (hubris/control)
are collected to determine the average abnormal return for each day:
AARt = [n.summation over (i=1)] ARit/n (4)
The final step is to calculate the cumulative average abnormal
return for each day over the entire event window:
CAAR = [-20.summation over (+5)] AARt (5)
To test AARt for significance the following t-stat is applied:
t = AARt/S(AARt) where S(AARt) = [[1 / 25 [-20.summation over (+5)]
[(AARt - [bar.AARt]).sup.2]].sup.1/2] (6)
The test statistic for the cumulative daily average abnormal return
(CAAR), for the sample and cumulating over the period specified is
computed as follows:
t = CAAR/S(CAAR) = [-20.summation over (+5)] AARt/ [square root of
26] S(AAR) (7)
This study also employs non-parametric testing. The test that is
used is the generalised sign test. Non-parametric tests used in event
studies do not require the stringent assumptions concerning return
distributions as does parametric tests. The generalised sign test
compares the proportion of positive cumulative abnormal returns around
an event to the proportion from a period not affected by the event. The
number expected is from the abnormal returns seen in a 40-day estimation period (-60 to -21) and the 26-day event period (-20 to +5).
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (8)
Define w as the number of stocks in the event window (-20, +5) for
which the cumulative abnormal return [CAR.sub.i, (DI,Dd)] is positive.
The generalised sign test statistic is:
[Z.sub.G] = w - np / [[np(1 - p)].sup.1/2] (9)
The Wilcoxon Signed Rank Sum Test for matched pairs is also
employed to examine whether the two populations are from the same
location. If in this instance the returns of the hubris sample and the
control sample are close in location, the ranks should be randomly mixed
between the two samples, and the null hypothesis cannot be rejected.
This test is done within the hubris and control sample to determine
whether a significant difference exists between the abnormal returns in
the period surrounding the takeover announcement.
VI. RESULTS
This section reports the results of the hypotheses tested. The
results for all the announcements appear in Tables 1-4 and Figures 1 and
2. Table 5 shows the wealth effects of takeover bids by the hubris
sample and the control sample. Table 6 displays the method of payment in
hubris acquisitions and also the control sample.
C. Bidder Results
Table 1 presents the abnormal returns for the sample of bidding
firms that have been identified as suffering from hubris, (referred to
as [bidder.sup.hubris] from now). As Table 1 indicates the AAR for the
[bidder.sub.hubris] on the announcement date is -0.8%, and is
significantly different from zero. The CAAR graph as illustrated in
Figure 1 provides some interesting insights. The bidder's CAAR
decreases by more than 4% in the event period studied, the West on this
CAAR result is significantly negative at the 5% one-tail level. This is
an important finding as the cumulative returns are much lower from what
has been found in previous studies. It is also in contrast to the
findings of Lang, Stulz, & Walking (1989) who find that high-q
bidders experience wealth gains of around 10% in tender offers involving
low-q targets. Even when high-q bidders acquire high-q targets the
shareholders of the bidder still gain around 3%. In this paper we
examine high performing bidders using two valuation measures as proxies
for managerial quality. We find that when the takeover involves high bid
premiums (as a proxy for hubris) the bidders lose by approximately 4%
over the -20, +5 day event window. Prior studies have attributed the
observed negative returns as occurring due to hubris, without directly
testing it. This study however goes one step further by filling the void
in the corporate control literature.
As the sample size was small, we decided to use non-parametric
testing, the results of which are found in Table 1. The generalised sign
test was conducted based on an estimation period of 40 days (-60 to -21)
and compared against the event-window from -20 to +5. The results of the
non-parametric test support the findings of the event-study, as there is
a significant difference between the estimation period and that of the
event window.
To further test the validity of our results we examine a control
sample of 90 takeovers, and examine the market reaction towards the
bidders. The control sample was obtained from the same time-period and
is a sub-set of the original sample of 270 bidders and targets. The
control sample (referred to as [bidder.sub.control] from now) returns
were then analysed with regard to adding support to the returns of the
[bidder.sub.hubris] sample. Table 2 presents the abnormal returns, and
Figure 2 illustrates the CAAR's over the event period studied. As
Table 2 and Figure 2 illustrate, the shareholders of
[bidder.sub.control] do not gain/lose over the period studied
(consistent with Barnes, 1998 and Datta et al., 1992), whereas the
[bidder.sub.hubris] sample clearly shows significant negative returns
and tends to be negative for most of the event period. The results
emphasise the negative returns to the [bidder.sub.hubris] sample and
supports H1.
The Wilcoxon Signed Rank Sum Test for matched pairs is also
employed to test whether a significant difference exists in returns
between the [bidder.sub.hubris] and [bidder.sub.control] samples. The
results of the test is shown in Table 1, and the findings show that the
abnormal returns found in the [bidder.sub.hubris] sample over the
event-window differs significantly from the [bidder.sub.control] sample.
Again, this finding reinforces the results from the initial event-study
and go on to support H1 where the shareholders of the
[bidder.sub.hubris] sample lose significantly over the event-period and
to a far greater extent as compared to the shareholders of the
[bidder.sub.control] sample.
D. Target Results
It is well known that shareholders of the target gain from a
takeover approach. Previous studies have found that target shareholders
benefits in the region of around 22-30% in both the UK and US (Franks,
Harris, & Mayer 1988; Datta et al. 1992). Table 3 presents the
abnormal returns for the sample of target firms with regard to the
hubris sample. The AAR on the announcement day is 0.2091 and is
significant at the 1% level. The CAAR over the event window is also
statistically significant. Over the entire event period studied the
returns to target shareholders that have been subject to an approach
from a hubris management have experienced a CAAR of 29%. This is in
contrast to the target firms of the control sample who experience a CAAR
over the entire event period of 27.8%, as shown in Table 4. Although not
significantly different, the evidence does provide some support towards
accepting H2.
[FIGURE 1 OMITTED]
[FIGURE 2 OMITTED]
Table 5 displays the wealth effects on shareholders in the period
surrounding a bid announcement by a hubris bidder and the control
sample. Overall, the findings show that hubris bidders are associated
with significant negative returns around the announcement of a takeover
as compared to the control sample of bidder firms. The shareholders of
the firms targeted by the hubris bidder gain significantly and also by a
small margin as compared to the general target sample studied.
E. Bid Premiums and Method of Payment
As expected the hubris management will pay a premium that is
exceedingly high as a result of over-estimating the synergistic benefits
from the takeovers due to the arrogance and self-assurance management
possesses. Table 6 reports the method of payment with regard to the
hubris sample and the control sample.
As shown in Table 6, the bid premiums in hubris acquisitions are
far greater than in general acquisitions, represented by the control
sample. The average bid premium is 57% for the hubris sample as compared
to 38% in the control sample.
It is found that a share offer is the preferred method of payment
in hubris acquisitions. Shares are used as the method of payment in 64%
(41% all-share offer plus 23% mixed offer) of hubris acquisitions, as
compared to 23% (12% all-share offer plus 11% mixed offer) in the
control sample. This could lend support to the overvaluation hypothesis
where management believes their firm to be overvalued by the market and
view this as a cheaper way to pay for the acquisition. This finding may
also suggest the reasoning behind the payment of such a large premium by
the 'hubris' sample. Due to the management believing the
market has mispriced their stock, they can afford to pay such a large
premium.
VII. CONCLUSION
This study set out to examine the performance of bidding firms
wherein the takeover was driven by a hubris management. A novel process
of identifying firms most likely to suffer from hubris was used in this
study based on accounting ratios and bid premiums. Prior studies on
takeovers are ambiguous concerning bidder returns. As the takeovers in
this study are motivated through management suffering from hubris you
would expect this to have a harmful effect on bidder shareholders. The
results of the study lend some new support to the hubris hypothesis as
the cumulative abnormal returns from day -20 to day +5 are in the region
of -4%, which is notably less than what previous studies have reported.
The results of the Wilcoxon test show that the hubris bidder returns are
significantly different from the control sample studied. An analysis of
the method of payment and the bid premiums within the hubris sample
provide some interesting insights and avenues for future research. It
was found that shares were favoured far more as the method of payment in
hubris acquisitions, and the bid premium of these acquisitions was
greater as compared to hubris acquisitions using cash and also all-share
acquisitions of the control sample.
The results of this study provide some distinctive insights into
the market for corporate control. The market has valued companies that
have operated well before a bid-offer was made as shown by the high
accounting ratios used. Nevertheless, the implications of this high
market value and being in control of a successful company has led to
management making mistakes in valuing new investments--in this case,
taking over another company. The over-estimation of synergistic
benefits, the arrogance of the management, and the resulting high
premium paid will result in an adverse market reaction. This has
valuable insights for management presently in charge of a successful
company and embarking on the first steps of a bid approach. As a result,
it is in the management's interest, to take heed of how the market
senses the overall approach. Therefore, initiation of the bid must be
taken with the utmost care and consideration instead of acting on their
own past success, the high market valuation placed on this success, and
the arrogance and self-belief stemming from these issues.
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Mahendra Raj and Michael Forsyth
Aberdeen Business School, Robert Gordon University, Garthdee Road
Aberdeen, ABIO 7QE, United Kingdom
Table 1
The behaviour of share prices around the announcement date - bidder
(hubris) sample
Days AAR CAAR Std. Dev. T-stat. (AAR)
-20 0.00093 0.00093 0.01574 0.891
-19 -0.00303 -0.00210 0.03133 -2.904
-18 0.00483 0.00273 0.01262 4.636
-17 -0.00800 -0.00527 0.02075 -7.679
-16 0.00410 -0.00117 0.02214 3.934
-15 -0.00133 -0.00250 0.01957 -1.275
-14 0.00056 -0.00194 0.02634 0.538
-13 -0.00556 -0.00750 0.02018 -5.339
-12 -0.00793 -0.01544 0.00996 -7.615
-11 -0.00011 -0.01555 0.01573 -0.109
-10 0.00431 -0.01124 0.02090 4.133
-9 0.00176 -0.01300 0.01671 -1.689
-8 -0.00559 -0.01859 0.02105 -5.366
-7 -0.00667 -0.02527 0.02400 -6.404
-6 0.00125 -0.02401 0.01695 1.201
-5 0.00391 -0.02011 0.02879 3.749
-4 -0.00152 -0.02163 0.01348 -1.456
-3 0.00341 -0.01821 0.01230 3.274
-2 -0.00876 -0.02697 0.02586 -8.404
-1 -0.00940 -0.03637 0.06442 -9.020
0 -0.00862 -0.04499 0.04116 -8.277
1 0.01343 -0.03156 0.04436 12.889
2 -0.00737 -0.03893 0.02713 -7.074
3 -0.00294 -0.04187 0.03952 -2.820
4 -0.00162 -0.04349 0.01646 -1.553
5 0.00216 -0.04133 0.01077 2.071
T-test on cumulative abnormal returns
CAR[R.sub.-20, +5] = -0.04133 (sig. at 5% level, one-tail)
Non-parametric tests
Generalised sign test Z = 2.015 (sig. different at 5% level)
Wilcoxon Matched-pair test Z = -3.721 (sig. at 1% level, based
on -'ve values)
Table 2
The behaviour of share prices around the announcement date - bidder
(control) sample
Days AAR CAAR Std. Dev. T-stat. (AAR)
-20 0.00502 0.00502 0.02201 6.853
-19 0.00009 0.00511 0.02482 0.120
-18 -0.00488 0.00022 0.01744 -6.667
-17 -0.00499 -0.00477 0.03078 -6.821
-16 -0.00137 -0.00614 0.02035 -1.871
-15 -0.00345 -0.00959 0.01889 -4.705
-14 0.00108 -0.00850 0.01207 1.479
-13 0.00219 -0.00632 0.02651 2.987
-12 -0.00023 -0.00655 0.02110 -0.319
-11 0.00203 -0.00452 0.01486 2.766
-10 -0.00048 -0.00500 0.01546 -0.655
-9 -0.00040 -0.00540 0.01978 -0.545
-8 0.00093 -0.00447 0.02044 1.268
-7 -0.00151 -0.00598 0.01549 -2.062
-6 -0.00065 -0.00663 0.03072 -0.884
-5 -0.00529 -0.01192 0.02402 -7.220
-4 -0.01010 -0.02202 0.02693 -13.792
-3 0.01068 -0.01133 0.03043 14.590
-2 0.00575 -0.00558 0.02435 7.857
-1 -0.00273 -0.00831 0.02432 -3.723
0 0.01339 0.00508 0.05057 18.288
1 -0.00452 0.00057 0.02510 -6.171
2 0.00475 0.00531 0.01873 6.482
3 0.00059 0.00590 0.02364 0.805
4 -0.00139 0.00452 0.02511 -1.894
5 -0.00179 0.00272 0.01919 -2.446
T-test on cumulative abnormal returns
CAA[R.sub.-20, +5] = 0.00272 (not sig.)
Table 3
The behaviour of share prices around the announcement date - target
(hubris) sample
Days AAR CAAR Std. Dev. T-stat. (AAR)
-20 0.00334 0.00334 0.01739 0.562
-19 -0.00442 -0.00108 0.02723 -0.744
-18 0.00053 -0.00055 0.03996 0.090
-17 0.00026 -0.00029 0.02564 0.044
-16 -0.00112 -0.00141 0.01663 -0.189
-15 -0.00373 -0.00514 0.03924 -0.627
-14 -0.00478 -0.00992 0.01244 -0.804
-13 -0.00028 -0.01020 0.01264 -0.048
-12 -0.00365 -0.01385 0.02339 -0.615
-11 0.00878 -0.00507 0.02044 1.478
-10 0.00154 -0.00354 0.01469 0.259
-9 -0.00527 -0.00881 0.01999 -0.888
-8 -0.00550 -0.01431 0.00973 -0.926
-7 0.00106 -0.01325 0.01247 0.178
-6 0.01505 0.00180 0.02959 2.534
-5 0.00631 0.00812 0.03219 1.063
-4 0.01212 0.02023 0.04416 2.040
-3 0.01301 0.03325 0.03082 2.191
-2 0.00820 0.04145 0.03413 1.381
-1 0.03561 0.07707 0.07025 5.996
0 0.20909 0.28615 0.21819 35.200
1 0.00467 0.29082 0.02321 0.787
2 0.00001 0.29083 0.01912 0.001
3 -0.00183 0.28900 0.00964 -0.308
4 0.00338 0.29238 0.02464 0.569
5 -0.00009 0.29229 0.01650 -0.014
T-test on cumulative abnormal returns
CAA[R.sub.-20, +5] = 0.29229 (sig. at 5% level)
Table 4
The behaviour of share prices around the announcement date - target
(control) sample
Days AAR CAAR Std. Dev. T-stat. (AAR)
-20 0.00555 0.00555 0.02737 1.93
-19 -0.00188 0.00367 0.01624 -0.66
-18 -0.00010 0.00357 0.01739 -0.03
-17 0.00149 0.00506 0.02776 0.52
-16 -0.00156 0.00350 0.01602 -0.54
-15 -0.00290 0.00060 0.02066 -1.01
-14 0.01112 0.01172 0.12014 3.87
-13 0.00061 0.01233 0.01768 0.21
-12 0.00112 0.01345 0.03106 0.39
-11 0.00137 0.01482 0.01737 0.48
-10 -0.00190 0.01292 0.02453 -0.66
-9 0.00320 0.01612 0.02756 1.11
-8 -0.00150 0.01462 0.02953 -0.52
-7 0.00146 0.01609 0.03028 0.51
-6 -0.00497 0.01112 0.04565 -1.73
-5 -0.00291 0.00821 0.02148 -1.01
-4 0.00054 0.00875 0.01950 0.19
-3 -0.00011 0.00864 0.03043 -0.04
-2 0.01445 0.02309 0.04976 5.03
-1 0.01749 0.04058 0.04829 6.09
0 0.21293 0.25351 0.17148 74.10
1 0.01568 0.26920 0.05551 5.46
2 0.00417 0.27336 0.04825 1.45
3 0.00226 0.27562 0.03715 0.79
4 0.00156 0.27718 0.02592 0.54
5 0.00103 0.27821 0.01770 0.36
T-test on cumulative abnormal returns
CAA[R.sub.-20, +5] = 0.27821 (sig. at 5% level)
Table 5
Shareholder returns surrounding takeover announcement
CAAR Results Bidder Returns (-20, +5) Target Returns (-20, +5)
Hubris -0.0413 [NABLA] 0.2923 **
Control 0.0027 0.2782 **
** denotes significance at 5% level, [NABLA] denotes significance at
5% one-tail level
Table 6
Bid premiums of bidder samples
Cash Share Mixed
[Sample.sup.Hubris] 36% 41% 23%
Bid premium 53% 63% 52%
Average bid premium of Hubris sample: 57%
Sample.sup.Control] 77% 12% 11%
Bid premium 39% 33% 37%
Average bid premium of Control sample: 38%