Free cash flow and takeover threats: an experimental study.
Oprea, Ryan
1. Introduction
This paper reports an experiment examining the effects of takeover
threats and cash flow on managerial decision making. The laboratory
environment is motivated by Michael Jensen's (1986) free cash flow
theory of takeovers, which holds that firms that generate cash flow with
no high-return projects to spend it on will suffer from agency problems.
Rather than disgorge cash to investors, managers with high cash inflows
will spend the money on zero return vanity projects, empire building,
frivolous spending, or even outright self-payment--behavior I will
collectively refer to as self-dealing. These agency problems, Jensen
argues, are reduced when institutional factors in capital markets allow
investors to force reorganization by selling their interests in the
firm. As Jensen (1986) and Scharfstein (1988) have noted, because these
takeovers are frequently motivated by a desire to overthrow management,
the very threat of takeover can motivate managers to keep investors
happy by paying out free cash as dividends, instead of engaging in
self-dealing. In this sense takeover threats are potentially good for
investors.
Other authors, such as Stein (1988), have emphasized takeover
threats' potential to cause myopia in management. When returns are
uncertain, managers may be motivated to make decisions that please
investors in the short run, ignoring long-run returns in the process.
Managers may convince investors to reject takeover bids in the short run
by focusing on generating short-run returns even if at the expense of
long-term returns. In other words, takeover threats might make managers
myopic, which may ultimately be bad for investors.
Our experiment was designed to study these two potential effects of
takeover threats. The experimental design models the firm as a
stochastically evolving flow of cash, owned by a representative investor
and governed by a manager. In each period the manager chooses how much
of the firm's cash to leave in the firm, how much to pay out to the
investor in dividends, and how much to deal to herself. The firm is at
its efficient scale, lacking growth prospects but still generating cash
flow. The lack of growth prospects means that neither manager nor
investor can influence cash flow. The existence of cash flow gives
managers scope for dividend payouts and room for self-dealing. In the
design, if the firms cash flow ever drops below zero, the firm is
automatically liquidated by creditors, the manager is deposed, and the
investor loses remaining interest (i.e., the experiment ends). One of
the treatment variables varied in this study is whether the firm faces a
takeover threat. In No Takeover treatments, the investor has no effect
on the payouts of the manager and is therefore completely dependent on
the manager's goodwill for earnings. In Takeover treatments, the
investor can choose at any point to sell the firm to the experimenter at
a fixed price, thereby deposing of the manager and ending the
experiment. The second treatment variable is cash flow. In High Cash
experiments, the average amount of cash generated by the firm is higher
than in Low Cash experiments.
This model of the firm closely mirrors the one described in free
cash flow theory. The firm generates positive cash flow, but there are
no productive uses for it within the firm. Without viable investment
projects, this positive cash flow can either be spent to benefit the
manager (for instance, on unprofitable empire building, vanity projects,
or even outright theft), or it can be paid out as dividends. This
tradeoff between two uses of free cash creates a conflict of interest
between manager and investor and a potential for agency problems.
The typical concern (associated, for example, with Stein 1988)
regarding takeover-inspired myopia is that takeover threats might cause
managers to make inefficient project choices. Managers may choose to
invest in short-run, quick return, or low-risk projects instead of
long-term growth projects to return dividends to managers and stave off
corporate raiders. It is difficult to study this sort of myopia in the
type of environment described by free cash flow theory because in such
environments, and so in the experimental design, the firm has no growth
projects available. However, a different opportunity for myopia presents
itself in the design. In addition to having direct value to investors
and managers, cash insures the firm against runs of bad luck in earnings
that can lead to liquidation. Optimality requires managers to make no
cash withdraws until cash exceeds a critical safe barrier level. This
robs the manager of an opportunity to signal willingness to return funds
early in the life of the firm. Under an optimal withdraw policy,
investors must bear substantial risk with little assurance that their
managers are willing to make cooperative distributions of cash. To
assuage this risk and deter investors from accepting takeover bids,
managers may have incentives to make withdraws below the optimal barrier
to signal that they are of a cooperative type. There is therefore some
behavioral scope for myopic distribution policies as a consequence of
the takeover threat.
The evidence broadly supports the relevant conjectures made by free
cash flow theory. Free cash significantly worsens managerial
misbehavior. Moreover, takeover threats are effective at reducing these
agency problems but only in high cash flow firms. Finally takeover
threats inspire myopic withdraws, although only in low cash flow firms.
As ! argue below, this is consistent with the sort of myopic generosity
signaling described above.
Early observations on the governance value of the takeover threat
were provided by Manne (1965); although, the pioneering formal work on
the mechanics of how takeovers can force managerial payout of dividends
was conducted by Grossman and Hart (1980). The theoretical work that
most directly addresses the use of takeover threats in solving agency
problems between managers and stockholders is Scharfstein (1988). A
useful survey on the agency problems that exist between sources of
finance and management is provided by Shleifer and Vishney (1997). There
is also a small experimental literature on takeovers. Kale and Noe
(1997) report an experiment in which a number of investors, each holding
a single share of a company, must simultaneously decide whether to
accept an exogenous takeover bid that will be accepted only if a
threshold number of subjects choose to accept the bid. The conclusions
of Cadsby and Maynes (1998) are similar to those of Kale and Noe (1997)
except that investors have multiple shares and the bid requires only
that a threshold number of shares (rather than a threshold number of
players) be sold. Gillette and Noe (2006) study the effects of
resolicitation options on free riding in takeover bids. Hamaguchi et al.
(2003) also study the free rider problems that plague takeover attempts,
formally studying popular models of the problem. The types of free rider
problems explored in these papers are abstracted from in the design
reported here. Croson et al. (2006) study bargaining over synergies from
takeovers and mergers in an environment quite different from the one
studied here.
In section 2, the first part presents the basic model of the firm
used in this experiment, and the next part describes the treatments and
parameters used. The next two parts of this section describe optimal
withdraw behavior and a testable hypothesis regarding myopic withdraws
in the experiment, respectively. The last two parts of this section
describe the main experimental questions and the experimental
procedures. Section 3 reports the results of the experiment, and the
paper concludes in section 4.
2. Experimental Design
Model of the Firm
Consider a firm consisting of one manager paired with one investor.
The main attribute of the firm in period t is its free cash, [c.sub.t],
which evolves over time according to three factors:
1. An independently and identically distributed shock [epsilon] ~
N([mu], [[sigma].sub.2]) is added to the firm's free cash every
period.
2. In each period, the manager chooses a non-negative amount w, to
withdraw from the firm's free cash. I will call this the
manager's withdraw policy.
3. In each period, the manager chooses how to distribute the
withdraw between herself and the investor. In particular, the manager
chooses a fraction [s.sub.t] of the withdraw to pay out to herself and a
fraction [d.sub.t] to pay out to the investor, where [d.sub.t] +
[s.sub.t] = 1. I will call [s.sub.t] the manager's self-dealing
policy and [d.sub.t] the manager's dividend policy.
Thus the firm's free cash in period t is
[c.sub.t] = [c.sub.t-1] - [w.sub.t-1] + [[epsilon].sub.t]. (1)
The manager has two sources of income. She is paid a wage, e, for
each period the firm is in business, and she is paid her self-dealing
withdraws. The manager's cumulative earnings in period t is
therefore
[[pi].sup.M.sub.t] = [[pi].sup.M.sub.t - 1] + [s.sub.t] + e. (2)
The investor is paid only what the manager pays to him in
dividends. He has no direct influence over the distribution of the
firm's cash and is, in this basic setup, completely at the mercy of
the manager. His payoff in period t is
[[pi].sup.I.sub.t] = [[pi].sup.I.sub.t - 1] + [d.sub.t]. (3)
The experiment ends if one of two events occur. First, the firm is
liquidated if its cash flow ever drops below zero, and the experiment
ends. I will call risk associated with liquidation liquidation risk.
Second, to induce discount rate time preferences, the firm may end with
probability [delta] at the end of each period. I will call the risk
associated with the random ending the random ending risk. If the firm
ends in period T for either reason, the earnings to manager and investor
are [[pi].sup.M.sub.T] and [[pi].sup.I.sub.T], respectively.
A final aspect of the environment is that there is an asymmetry of
information between the manager and the investor. During the experiment
the investor knows the distributional properties of the evolution of
free cash but can see only the dividends he is paid each period and the
amount of cash left in the firm. The investor does not know how much
cash the manager is actually taking for herself.
The simple firm modeled by the design is intended to fit the basic
description of a firm ripe for takeover offered by free cash flow
theory. Because the random process governing the firm's cash flow
does not change over time, the firm is at its efficient scale and has no
useful projects to invest cash in. At its efficient scale, the firm
generates positive cash flows that can either be disgorged to investors
or used to benefit the manager. Finally, the manager can take
self-benefiting hidden action, which generates a conflict of interest
with the investor.
Parameters and Treatments
Parameters used in this experiment are given in Table 1.
This design varies two treatment variables: Takeover versus No
Takeover and High Cash versus Low Cash. In No Takeover sessions,
subjects participate in the experiment as just described. In Takeover
sessions, investors have the additional option, at any point during the
session, of ending the experiment and receiving an amount m, which is
fixed across sessions and treatments, in addition to whatever earnings
they have made up to that point. In essence, the experimenter is a
corporate raider offering a flat amount to take over the firm. (1) If a
takeover bid is accepted in period T, the manager earns
[[pi].sup.M.sub.T] and the investor earns [[pi].sup.I.sub.T] + m.
The No Takeover treatment models a firm with severe agency problems
where "breakdowns of internal control processes" are predicted
by free cash flow theory to inspire takeovers (Jensen 1986). This
treatment gives a benchmark measure of the severity of agency problem in
firms with the governance problems that might draw takeover bids in the
first place. The Takeover treatment adds a single governance tool (the
takeover bid), allowing examination of the effects this tool alone has
on managerial behavior.
In Low Cash sessions, the mean of the shocks to cash flow each
period is set at 1; while in High Cash sessions, it is set at 6. Thus,
over time and on average, High Cash firms generate much higher cash
flows than Low Cash firms.
Optimal Withdraws
The investor's earnings can be regarded as a consequence of
two distinct decisions by the manager. First, the manager chooses a
withdraw policy [w.sub.t], and second, she determines what fraction of
the withdraw [d.sub.t] to hand over as dividends. Clearly a
manager's dividend policy has a bearing on the investor's
earnings. By choosing to deal withdraws to herself, a manager directly
reduces payments to the investor. However, given a choice [d.sub.t], the
manager's withdraw policy itself has a powerful effect on the
investor's earnings. Because the firm and its future earnings are
liquidated if [c.sub.t] < 0 and [c.sub.t] can fall, there is an
insurance value to keeping some level of cash in the firm. Withdraw
policies that leave too little cash for insurance are myopic in the
sense that they reduce the expected total withdraws relative to that
associated with an optimal policy.
Optimal withdraw policies are well defined in continuous time
versions of the environment. If cash flow evolves as an additive
diffusion process (or arithmetic Brownian motion) with drift [mu] and
volatility o, it can be shown that the manager has a stationary optimal
withdraw policy. It can be shown that the withdraw policy that maximizes
discounted withdraws is a barrier policy (see Harrison 1985) with some
barrier [b.sup.*]:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]. (4)
That is, the strategy that maximizes future discounted withdraws
has the manager withdrawing nothing whenever the firm's cash is
below some threshold [b.sup.*] and withdrawing any excess cash above
[b.sup.*] whenever there is greater than [b.sup.*] in cash in the firm.
(2) The intuition for this result is as sketched above. Cash has a
certain insurance value for the firm. Because the firm is liquidated if
its cash reserves drop below zero and future withdraw options are
terminated, it is prudent for the firm's manager to maintain cash
inside the firm. At some point (in fact at the barrier [b.sup.*]), the
marginal value of holding cash for insurance drops to zero, and all
further funds should be withdrawn.
[FIGURE 1 OMITTED]
To generate predictions that are valid in the discrete environment,
(3) I run simulations comparing average total withdraws under various
choices of the barrier, [b.sup.*]. Figure 1 presents simulation results
for both the High and Low Cash flow environments. In the High Cash
treatment, there is a clear optimal barrier at 5. Smaller barrier
choices lead to expected withdraw loss due to added liquidation risks.
Larger barrier choices are too conservative, trading withdraws for
excessive insurance. In the Low Cash treatment, the optimum is at 17.
The difference in optima here is driven by differences in the likelihood
of negative shocks to cash flow. Intuitively, negative runs are more
likely in the Low Cash treatment leading to an increased insurance value
to accumulated cash.
Why Might Takeovers Induce Myopic Withdraws?
Stein (1988) argues that, under asymmetric information, takeover
bids can provide managers with incentives to make decisions that
sacrifice long-term returns for short-term ones. If managers know more
about the profit potentials of the firm than investors, they can signal
this potential by generating and distributing large short-term returns.
This signaling can come at the expense of long-term earnings but can
have the effect of deterring investors from accepting takeover bids.
Although the environment is different from the one modeled by
Stein, it provides scope for a similar sort of myopic signaling.
Previous experimental evidence from bargaining games indicate
heterogeneity in subjects' willingness to distribute resources to
counterparts. Many subjects are willing to disperse money to their
subject counterparts even with little financial incentive to do so. This
is particularly true in environments in which, as is true here,
counterparts have been framed by the experimenter as property right
holders over the pots being distributed (e.g., Hoffman et al. 1994).
Other subjects act as traditional economic theory predicts, distributing
little to counterparts when incentives to do so are limited.
Such heterogeneity in generosity implies ex ante asymmetric
information between the investor and manager over the manager's
generosity and therefore, the manager's willingness to make
dividend distributions once they begin making withdraws. This asymmetric
information is damaging to investors because, in the Low Cash treatment,
cash flows begin well below the barrier level. As a result, an investor
must wait until cash has evolved to the barrier level before discovering
how generous her manager's dividend policy will be and therefore,
learning the relative value of the takeover bid. This waiting has a real
cost to the investor because he undertakes random ending risk while
waiting for the barrier level of cash to accumulate. Depending on his
prior beliefs about the distribution of generosity in the manager
population, the investor may be tempted to accept the takeover bid
instead of incurring these waiting costs.
Alternatively, an investor may turn away takeover bids if he
receives dividends early in the experiment as a signal of generosity.
Such early withdraws would be myopic because they occur at cash reserves
below the barrier level and therefore serve to lower expected total
withdraws. Early dividends are a pure cost to a selfish manager in that
they lower the manager's expected total withdraws. Early dividends
are a pure cost to a selfish manager in that they lower the
manager's expected total withdraws and therefore her total payments
to self. Generous managers, however, may receive some nonpecuniary
benefits from early dividends, making the provision of the signal less
costly than it is to more selfish types. It is therefore possible that
myopic withdraws might have a signaling function in the environment
analogous to the one described in Stein (1988). Rather than making
myopic decisions to signal the profitability of a firm as in Stein
(1988), managers might make myopic decisions to signal their private
motivation to return dividends in later periods.
Myopic signaling policies of this sort generate clear testable
predictions. In the High Cash treatment, the optimal barrier of 5 is
lower than the initial level of cash. Thus firms have an opportunity to
signal their generosity from the beginning of the experiment without
departing from the optimal policy. Generosity signaling, therefore,
should not induce myopic withdraws in the High Cash treatment. In the
Low Cash treatment, however, the barrier of 17 is greater than the
initial level of cash, meaning signaling generosity early in the
experiment requires the firm to use myopic policies. Thus under the
myopic signaling hypotheses, we should see increased myopic withdraws at
cash levels below 17 in the Low Cash, Takeover treatment (relative to
Low Cash, No Takeover) but should see no change in withdraw patterns due
to the Takeover variable in High Cash treatments.
Experimental Questions
The core of free cash flow theory is the claim that conflicts of
interest between managers and investors are created by substantial
levels of free cash flow. This does not necessarily mean that investors
earn less on investments in higher cash flow firms. Rather, it means
that in such firms managerial self-dealing increases relative to
alternative uses of funds. Thus free cash flow theory suggests a first
question.
QUESTION 1. Does higher cash flow cause managers to deal a greater
proportion of withdraws to themselves?
It is often argued that takeovers correct for these conflicts of
interest between managers and shareholders. In this design, we are
interested not in the efficiencies generated in the wake of a takeover
(something not modeled here) but in the effect of the threat on
managers. The threat of reorganization (which in this experiment leads
inevitably to turnover in management) gives managers an incentive to
make investors happy with dividend payouts. Takeover threats provide
both an opportunity cost to the investor's maintaining interest in
the company and a mechanism for punishing managerial misbehavior. The
disciplinary effect of takeover threats is especially emphasized in
Scharfstein (1988). This is a second empirical question.
QUESTION 2. Does the threat of takeover reduce the proportion of
withdraws, s, that managers deal to themselves? Is this effect stronger
under High Cash than Low Cash?
Takeover threats may also give managers incentives to form
suboptimal withdraw policies. Optimal withdraw policies leave managers
with little scope to reassure investors of their dividend plans. This is
because cash reserves begin well below the point at which optimal
managers begin withdrawing from their cash reserves and make their first
dividend payments.
Investors face random ending risk if they wait for cash to
accumulate and, if they are sufficiently pessimistic about the
generosity of managers, may choose to avoid this risk by accepting the
takeover bid before the optimal manager is able to distribute dividends.
Making early, myopic withdraws provides the manager with an opportunity
to signal her generosity to investors and forestall acceptance of
takeover bids. Under such a signaling outcome, we would expect to see
takeover inducing myopia in Low Cash firms but not in High Cash firms.
QUESTION 3. Does the threat of takeover cause Low Cash firms to
institute myopic withdraw policies?
Procedures
A total of 226 George Mason University undergraduates were
recruited for participation in this experiment in September 2004.
Experiments were computerized, anonymous, and lasted no more than one
hour. Subjects sat at visually isolated terminals where they received
self-paced computerized instructions. After an initial set of
instructions, subjects participated in five isolated practice
experiments in which they were managers. This gave subjects experience
with the interface but, more importantly, ample experience with the
random process governing the evolution of their cash flow. Upon
completing practice experiments, subjects were given a second, shorter
set of instructions, (4) randomly assigned a role (manager or investor),
and randomly and anonymously matched with another subject for the actual
experiment.
[FIGURE 2 OMITTED]
During the actual experiment managers saw the display in Figure 2.
This display represented each period as a vertical bar divided into
white, red, and blue sections. The white portion represented cash left
in the company, the red portion represented cash paid out as dividends,
and the blue portion represented cash paid to the manager. Managers used
the Pay to Self and Pay to Owner (dividends) sliders to control, in real
time, how great self-payments and dividends were in the current period.
Every five seconds, the current amount paid to self and paid as
dividends were registered and subtracted from the company cash flow, the
random shock was applied, and a new period began.
Investors viewed a similar display that differed in two respects.
First, investors saw cash left in the firm (represented with white bars)
and dividend payouts (red bars) but did not observe self-dealing
amounts. Second, investors did not have access to sliders controlling
withdraws and distributions. In No Takeover treatments, investors simply
watched the evolution of cash and dividend payments. In Takeover
regimes, investors could click a button labeled "Sell the
Firm" to accept the takeover bid.
During practice experiments the random ending time was randomly
determined for each subject separately and in real time. For the actual
experiment, the random ending was determined only once and replicated
across all subjects to allow calibration of payoff rates and to maximize
comparability across sessions. The ending period used in the experiment,
84, was chosen out of a set of random draws and was unusually long. This
exceptional length ensured that firms could in principle last long
enough to accumulate the barrier level of cash, allowing a test for
myopia. Subjects were paid five U.S. cents for every dollar of earnings
made in the experiment. In addition to a $5 fee for showing up on time,
on average, managers earned U.S. $12.10 and investors earned $9.21.
Experiments lasted, on average, 50 minutes including practice and
instructions.
3. Results
Table 2 presents an overview of outcomes in the experiment under
each treatment. Before posing the main questions, several regularities
are worth noting. First, under High Cash the threat of takeover has
little effect on average cumulative self-dealing but increases
cumulative dividend payments by nearly 50%. In an average period,
managers increase the amount of cash they pay out to investors while
decreasing their average self-dealing. This decrease in average
per-period self-dealing has little effect on cumulative levels of
self-dealing largely because firms also tend to last longer under
takeover threats than otherwise. Overall, then, takeover threats cause
managers to distribute more free cash in dividends without reducing
total self-dealing income in large part because firms are managed to
live longer under takeover threats than otherwise.
The effects of takeover threats in Low Cash firms are nearly the
inverse of those in High Cash firms. Cumulative self-dealing is sharply
reduced under takeover threats, and dividend payments are marginally
reduced as well. Firms last roughly half as long under takeover threats
(even when the takeover bid is not accepted), and this seems to be due
to the fact that firms end the average period leaving half as much cash
in their firms. Furthermore on average, over the entire session, firms
tend not to make different average withdraws for self-dealing or
dividend payouts under takeover threats. This seems consistent with the
idea that takeover threats induce firms to make myopic withdraws early
in the session rather than allowing cash to accumulate. The average
amount of cash left in the firm under No Takeover is much closer to the
barrier level than it is under Takeover.
[FIGURE 3 OMITTED]
In the next section the experimental questions are examined more
formally. In all tests described in support of the results reported
below, the unit of observation is the behavior of a single firm: a
single investor-manager pair. The p-values on all results reported in
this section are two-tailed.
Main Results
In this section, I pose the paper's motivating questions
statistically. First, are agency problems between the manager and
investor more severe in higher cash flow firms as free cash flow theory
suggests? A natural measure of the severity of a firm's agency
problem is the average proportion of withdraws the manager deals to
herself, [s.sub.t]. Figure 3 shows cumulative density functions (CDFs)
of the by-subject median [s.sub.t]. The horizontal gray line is the
median. Under the No Takeover regime, the median level of [s.sub.t]. is
clearly higher under High Cash than Low Cash. This is statistically
confirmed by a Mann-Whitney test (p = 0.0243). No comparable effect
holds in Takeover treatments. This evidence constitutes our first
finding.
RESULT 1. Absent takeover threats, managers provide themselves with
a significantly larger share of withdraws, [s.sub.t], in High Cash firms
than Low Cash firms. This is not true under the threat of takeover.
The second question is whether takeover threats cause managers to
apportion a smaller proportion of their withdraws to themselves than
they do in the absence of such threats. In Figure 3, CDFs of median
levels of s, under High Cash, Takeover are to the left of those under
High Cash, No Takeover, indicating a reduction in self-dealing. A
Mann-Whitney test establishes that this reduction is significant (p =
0.0174). CDFs in Figure 3, however, indicate that median self-dealing is
unaffected by the takeover threat under Low Cash. Indeed, Mann-Whitney
tests comparing the median [s.sub.t]s across treatments confirm that
takeover threats have little impact on the degree of self-dealing (p =
0.255) under Low Cash.
[FIGURE 4 OMITTED]
RESULT 2. Takeover threats significantly increase the proportion of
withdraws distributed to investors under High Cash but do not affect
distributed levels in Low Cash.
Our third question is whether Takeover induces firms to make myopic
withdraws prior to accumulating an optimal level of cash reserves.
Figure 4 shows median withdraws in both Takeover and No Takeover
treatments in each of four binned levels of cash reserves. The data come
only from firms that have not yet accumulated 17 in cash, the barrier
level for Low Cash firms. Focusing attention on behavior in Low Cash
treatments, it is clear that withdraws are identical at cash levels
below the initial level of 10. However, at higher cash levels, Takeover
threats induce larger myopic withdraws. In both the 10-14 and 15-17
range, Mann-Whitney tests confirm a statistically significant difference
in withdraws at the 1% level. (5) Figure 4 also provides evidence that a
similar result does not obtain in High Cash treatments. Withdraws are
not higher under Takeover than No Takeover in any range, and differences
are insignificant.
Together these results support the idea that managers attempt to
signal generosity by making myopic withdraws. Managers in Low Cash firms
make only modest withdraws before achieving the optimal barrier.
Takeover threats induce them to make larger myopic withdraws. Similar
patterns do not surface in High Cash firms, where signaling generosity
does not require firms to make myopic withdraw decisions.
RESULT 3. In Low Cash firms, takeover threats cause increased
myopic withdraws. Similar effects do not appear in High Cash firms.
Withdraw Behavior
Maximizing total withdraws in this environment requires the firm to
refrain from making any withdraws until a barrier level of cash has
accumulated in the firm and otherwise attempting to maintain the barrier
level through withdraws. Accumulating less cash than this optimum leaves
the firm at risk of bankruptcy; whereas, accumulating more provides too
much insurance at the expense of withdraws. Do the subjects employ
barrier-like policies? Do they maintain too much or too little in cash
reserves?
Each data point in Figure 5 represents a single firm. A firm's
coordinates are its median cash holdings and the median squared
deviation of its cash holdings from its median cash holdings. The first
variable gives a measure of the firm's cash reserves that is
minimally influenced by cash reserves before the accumulation of its
barrier choice. The second variable measures the degree to which a firm
tends to maintain a fairly constant level of cash and therefore,
utilizes a barrier-like withdraw policy. Firms implementing barrier
policies should have cash reserves that deviate very little from their
own median cash reserves. In the Low Cash treatments, a withdraw
maximizing firm will have a median level of cash around 17 and
deviations close to zero. In the High Cash treatments, a
withdraw-maximizing firm will have a median level of cash near 5 and
again, deviations close to zero. Data points in Figure 5 are coded based
on the eventual fortunes of the firm. Firms that ended in bankruptcy are
signified with hollow circles, those that lasted until the random ending
of the experiment are signified with crosses, and those that ended in
takeover are signified with a small filled dot.
A first observation from Figure 5 is that there is heterogeneity in
the character of subjects' withdraw policies. Note that a sizable
proportion of subjects show very little deviation from their median cash
reserves, indicating something like a barrier policy. However, in three
of the treatments a sizable proportion of subjects have distinctly
higher variation in their cash reserves, indicating cash accumulation
over a large portion of the experiment.
Figure 5 also indicates that managers in High Cash firms tend to
retain larger cash reserves than managers in Low Cash firms in both
Takeover and No Takeover treatments, a reversal of the optimal policy.
Under No Takeover, the median of median cash reserves is 14.38 under
High Cash versus 10.14 in Low Cash. Under Takeover, the measure for High
Cash is 21.59 versus 7.12 in Low Cash. These differences are significant
at the 5% and 1% levels, respectively, by Mann-Whitney tests. Moreover,
Wilcoxon tests reveal (at the 1% level) that High Cash reserves are
significantly greater than the optimal level of 5, and Low Cash reserves
are significantly smaller than the optimum of 17. Thus, Low Cash firms
overall tend to utilize myopic withdraw policies, holding inefficiently
low levels of cash, and High Cash firms tend to utilize overly
conservative policies, holding inefficiently large reserves of cash.
[FIGURE 5 OMITTED]
RESULT 4. LOW Cash firms tend to hold smaller cash reserves than
High Cash firms. Low Cash firms tend to hold too little cash; whereas,
High Cash firms tend to hold too much relative to the optimum.
Finding 3 reports evidence of myopic signaling in Low Cash firms
under Takeover threats. Is there any evidence of a more systematic
effect of takeover threats on median cash reserves? Looking at Figure 5,
it appears that cash reserves tend to be somewhat lower under Takeover
in Low Cash treatments; whereas, the reverse seems to hold in High Cash
treatments. The difference is not significant (using Mann-Whitney tests)
in the High Cash treatment (p = 0.128) but is significant in the Low
Cash treatment (p = 0.048). Figure 5 seems to indicate that the latter
difference is driven largely by firms that have greatly varied cash
reserves over the course of the experiment and are therefore, electing
not to utilize barrier policies. Takeover threats in the Low Cash
treatment seem to discipline firms to follow barrier policies. Indeed,
dropping firms with median squared deviations greater than 50 leaves
samples in Takeover and No Takeover that are insignificantly different
from one another at either level of cash flow.
RESULT 5. Takeover threats reduce the median level of cash reserves
held by Low Cash firms. Takeover threats also appear to induce firms to
follow barrier policies under Low Cash.
Similar effects do not obtain in High Cash firms.
4. Discussion
Observers have long noticed that takeover threats can help solve
agency problems between shareholders and managers. Jensen (1986) argues
that takeover threats should be particularly useful in firms with high
cash flows and no internal growth prospects. In these cases, Jensen
argues, the temptation to engage in self-dealing can be particularly
strong, and takeover threats will be particularly salient.
This paper provides experimental evidence for both of these claims.
In this experiment, subjects control withdraw and distribution policies
of cash flow in a dynamic stochastic environment. Subjects in firms with
relatively high cash flows tend to distribute a smaller portion of their
withdraws to investors. In a second set of treatments, an exogenous
takeover bid gives investors an incentive and opportunity to depose
management. Such a takeover threat has no effect on dividend
distributions in low cash environments but has a significant and
positive effect in high cash ones.
This experiment also produces evidence that takeover threats may be
particularly useful tools for disciplining high cash flow firms because
they can encourage myopia in lower cash flow firms. Firms with lower
cash flow in this environment must accumulate a greater cash reserve to
provide optimal insurance against runs of bad luck. Doing so, however,
leaves low cash flow firms with little scope for reassuring investors of
their loyalty to investors' interests when cash reserves are too
low. Under the threat of takeover, such firms may be tempted to make
inefficiently risky withdraws to signal loyalty and deter the acceptance
of takeover bids. Indeed there is evidence of myopic signaling in the
data: Takeover threats generate myopic withdraws in low cash flow firms
but not in high cash flow firms.
More generally, this experiment provides evidence on withdraw
policies under dynamic stochastic cash flows. A large number of subjects
hold something close to barrier policies, the optimal class of withdraw
policies. However, there is little evidence that these barrier-like
policies involve optimal choices of cash reserves. Subjects in high cash
flow environments tend to hold larger cash reserves than those in low
cash flow environments; although, optimal barrier choices dictate the
opposite ranking. Moreover, a share of subjects in both environments
engage in policies that involve severely high and widely varying cash
reserves. Although the experimental design does not afford an
opportunity to investigate the causes and robustness of these deviations
from optimality, the findings suggest that future experimental work on
withdraw behavior in stochastic cash flow environments may be warranted.
I am grateful to Vernon Smith, David Porter, Bart Wilson, and three
helpful referees for comments. I am also grateful to the International
Foundation for Research in Experimental Economics and the
Interdisciplinary Center for Economic Science for their generous
support. Any mistakes are my own.
Received January 2007; accepted September 2007.
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(1) The decision to treat in as an exogenous variable rather than a
decision by an actual subject was purely a noise-reducing measure. This
is a feature of the design that should be endogenized in future
research.
(2) For a proof that the policy that maximizes discounted withdraws
is a barrier policy, see theorem 3.1 in Dutta and Radner (1999).
(3) Finding [b.sup.*] in a continuous time environment involves
finding where the slope of the value function (the function describing
expected future returns as a function of current cash) is equal to one
(see Harrison 1985). Dutta and Radner (1999) show that the barrier is
defined by [b.sup.*] = ln[([lambda]/[theta]).sup.2]/([lambda] +
[theta]), where [theta] is the positive root of 1/2 [[sigma].sup.2] [chi
square] + [mu]x - [delta] and [lambda] is the absolute value of its
negative root.
(4) In the practice experiments, because subjects were acting in
isolation, they were not given the opportunity to make dividend
withdraws. The second set of instructions explained the portion of the
interface with which subjects made dividend withdraws, the difference
between managers and investors, and, in Takeover experiments, how
takeovers worked.
(5) Moreover, in these bins takeover threats induce an increase in
the median dividend payout but no increase in the median self-dealing
amount.
Ryan Oprea, University of California, 1156 High Street, Santa Cruz,
CA 95064, USA; E-mail roprea@ucsc.edu.
Table 1. Parameters by Treatment
No Takeover, No Takeover,
Parameter Low Cash High Cash
[c.sub.0] (initial cash) 10 10
[mu] (shock mean) 1 6
[sigma] (shock variance) 3 3
e (manager wage) 1 1
[delta] (end probability) 0.03 0.03
m (takeover bid) N/A N/A
Observations 29 pairs 26 pairs
Takeover, Takeover,
Parameter Low Cash High Cash
[c.sub.0] (initial cash) 10 10
[mu] (shock mean) 1 6
[sigma] (shock variance) 3 3
e (manager wage) 1 1
[delta] (end probability) 0.03 0.03
m (takeover bid) 100 100
Observations 30 pairs 27 pairs
Table 2. Summary Data
Low Cash
No Takeover Takeover
Average Cumulative Withdraws by Use
Dealt to self 24.10 15.67
Paid as dividends 13.59 11.87
Average Cash per Period
Left in firm 15.95 7.12
Dealt to self 0.768 0.786
Paid as dividends 0.458 0.499
Average Proportion of Cash per Period
Left in firm 0.863 0.839
Dealt to self 0.084 0.096
Paid as dividends 0.052 0.065
Causes of Session Ending
Takeover N/A 0.300
Bankruptcy 0.793 0.667
Random ending 0.207 0.033
Average Period Life Span of Firm by Causes of Ending
Overall 40.24 23.03
Random or bankrupt 40.24 22.38
Takeovers N/A 24.55
Observations 29 30
High Cash
No Takeover Takeover
Average Cumulative Withdraws by Use
Dealt to self 183.96 178.63
Paid as dividends 110.15 152.74
Average Cash per Period
Left in firm 25.32 35.96
Dealt to self 3.392 2.654
Paid as dividends 1.674 2.273
Average Proportion of Cash per Period
Left in firm 0.723 0.785
Dealt to self 0.193 0.122
Paid as dividends 0.084 0.093
Causes of Session Ending
Takeover N/A 0.259
Bankruptcy 0.481 0.296
Random ending 0.481 0.444
Average Period Life Span of Firm by Causes of Ending
Overall 55.55 63.77
Random or bankrupt 57.65 69.2
Takeovers N/A 48.28
Observations 27 27