INVESTOR-MANAGER HETEROGENEOUS BELIEFS
AND CORPORATE FINANCING DECISION
Jian Ma and Zhixin Liu
School of Economic and Management, BeiHang University, Beijing, China
Keywords: Investor-Manager, Heterogeneous belief, Financing decision.
Abstract: This paper considers a firm that may issue common stock or debt to undertake an investment opportunity
when the investors and the manager have different estimates of the expected return from the investment.
Firstly, an equilibrium model is developed to reveal the impact of investor-manager heterogeneous beliefs
on corporate financing decision, and the model concludes that the greater the investors’ belief relative to the
manager, the more likely the firm is to choose to issue equity rather than debt. Secondly, using a sample of
debt and seasoned equity issues from Chinese listed firms we empirically analyze the conclusion above. We
find empirical results support for the conclusion.
1 INTRODUCTION
Modigliani and Miller (1958) posited that in an ideal
world the value of a firm depends only on its
profitability, not on the debt-equity mix, so that the
choice between debt and equity is irrelevant. This
issue initiated a flood of work analyzing this choice
in a world of imperfect and incomplete capital
markets. Jensen and Meckling (1976) has
concentrated on agency costs as a determinant of
corporate financing choice, and argued that the firm
should issue debt in order to avoid the incentive
dilution. Ross (1977) argued that the firm will not
issue 100% with debt because of high bankruptcy
costs, and the optimal amount of debt-equity finance
occurs when the costs associated with incentive
dilution are equal to the costs associated with
increased risk. Myers and Majluf (1984) analyzed the
financing decision by firms according to the “pecking
order” hypothesis because of issues relating to
control and disclosure. A key assumption of the
above modern corporate financing decision is
homothetic expectation. The investor and manager
are assumed to have identical estimates of the
expected return from the investment.
However, Miller (1977) argued that it is
implausible to assume identical estimate although the
future is very uncertain and that men may differ in
their forecasts what Miller called divergence of
opinion or heterogeneous belief.
After Miller (1977), the heterogeneous belief is
explored by many scholars. Kreps (1990) argues that
heterogeneous priors are a more general specification
than homogeneous priors. Kurz (1994) provides the
foundations for heterogeneous but rational priors.
Harris and Raviv (1993) use differences of opinion to
explain empirical regularities about the relation
between stock price and volume. Kandel and Pearson
(1995) make the case that their evidence of trading
volume around public information announcements
can be best understood within a framework in which
agents interpret the same information differently.
Barberis and Thaler (2002) note that a key ingredient
of behavioral models that provide explanations for
asset pricing anomalies is disagreement among
market participants. Garmaise (2001) examines the
implications of heterogeneous beliefs for security
design. Coval and Thakor (2005) show that
heterogeneous priors can give rise to financial
intermediation.
But the heterogeneous belief is considered less in
corporate financing decision. Allen and Gale (1999)
examine how heterogeneous priors affect new firm
financing. Boot, Gopalan and Thakor (2006) use
heterogeneous priors to develop a theory of
“managerial autonomy” that characterizes the
allocation of control rights among financiers and its
capital structure implications. Dittmar and Thakor
(2007) predicts that managers use equity to finance
projects when they believe that investors’ views
about project payoffs are likely to be aligned with
theirs.
384
Ma J. and Liu Z..
INVESTOR-MANAGER HETEROGENEOUS BELIEFS AND CORPORATE FINANCING DECISION .
DOI: 10.5220/0003434203840388
In Proceedings of the 13th International Conference on Enterprise Information Systems (ICEIS-2011), pages 384-388
ISBN: 978-989-8425-56-0
Copyright
c
2011 SCITEPRESS (Science and Technology Publications, Lda.)
All-equity financed firm.
y.opportunit investmentan of Arrival
S. signal of Appearance
Manager interprets signal as H with probility .
M
θ
0=t
1
=
t
2=t
Realization
of payoff
0
Assets in place have value .V
Investors have the capital .a
Investors interprets signal as H with probility .
I
θ
Figure 1: Sequence of events.
This paper develops a model and presents a new
prediction to reveal the impact of investor-manager
heterogeneous beliefs on corporate financing
decision, and tests the prediction using the data in
Chinese financial market. The rest of the paper is
organized as follow: Section 2 develops the model
and puts forwards a testable hypothesis. Section 3
describes sample selection procedure, and Section 4
discusses the empirical result. Section 5 concludes.
2 MODEL AND PREDICTION
2.1 Events and Time Line of Corporate
Financing decision
A model is developed briefly and the prediction is
presented in this section. There are three points in
time. The investors and the manager are risk-neutral,
the financial market is perfectly competitive, and the
risk-less rate and the debt rate are all zero. All
investors are assumed to have identical estimate of
the expected return from the investment. But the
manager and the investors have different estimate.
There are no transaction cost, asymmetry information
and tax.
At
0t =
, the firm is all-equity financed and has
an expected value of
0
V
. A new investment
opportunity arrives with the required investment
amount of
a
. The payoff of the investment is a
random amount of
{, }
Z
HL
, where
0LH<<
and
H
means high payoff and
L
means low payoff. The investors have the capital
value of
a
.
At
1t = , A public signal S about the investment
arrives. The manager will interpret the signal as
H
payoff with probability
M
and the investors with
I
θ
. The manager decides to issue equity, debt or
desert the investment. If equity is chosen then a
fraction
λ
( 01
λ
<<) of the firm will be sold, so
the initial shareholders will have a claim to a
fraction
1
λ
of the terminal payoff. If debt is
chosen then repayment will have to be made at
2t
=
. If the manager deserts the investment then
the initial shareholders and the investors have zero
payoff.
At
2t
=
the payoff from the investment is
realized and the initial shareholders and the investors
get their own payoff.
2.2 The Predicted and Real Payoff of
the Manager and the Investors
If equity is issued then the manager predict that the
initial shareholder’s equity value is
0
()( (1 ))
E
MMM
VVaH L
λθ θ
=
++ + 1-
and the
investors predict that their equity value is
0
((1))
E
III
VVaH L
λθ θ
=
++ +
. If debt is
issued then the manager predict that the initial
shareholder’s equity value is
0
(1 )
D
MM M
VV H L
θθ
=
+⋅+
and the
investors predict that their debt value is
a
. If the
manager deserts the investment then the initial
shareholder’s equity value is
0
V
and the investors
capital value is
a . The above results can be listed in
Table 1, where
(1 )
MM M
EH L
θ
θ
⋅+
,
(1 )
II I
EH L
θ
θ
⋅+
for simplicity.
Table 1: Predicted value of shareholder and investors.
Issue tape shareholder investors
Desert
0
V
a
Equity
0
()( )
M
VaE
λ
+
+1-
0
()
I
VaE
λ
++
Debt
0
M
VE
+
a
2.3 Corporate Financing Decision
under Heterogeneous Beliefs
When the following conditions are met the manager
will issue equity.
(1)
(2)
(3)
00
00
0
()( )
()( )
()
M
M
M
I
VaE VE
VaE V
VaE a
λ
λ
λ
++ > +
++ >
++ >
1-
1-
INVESTOR-MANAGER HETEROGENEOUS BELIEFS AND CORPORATE FINANCING DECISION
385
That is
IM
L
H
L
θθ
>>
(4)
Or
00
2
()()()
I
M
Va V
L
H
LHLaLHLHL
θ
θ
>−
−++
,
M
L
HL
θ
>− >
(5)
When the following conditions are met the
manager will issue debt.
00
(1 )
MM
VH LV
θ
θ
+⋅+ >
, and
00
0
()( )
()
MM
I
VaE VE
VaE a
λ
λ
++ > +
++ >
1-
have no solution. That is
M
L
H
L
θ
>−
M
I
θ
θ
>
.
(6)
When the following conditions are met the
manager will desert the investment.
00
(1 )
MM
VH LV
θ
θ
+⋅+ <
, and
00
0
()( )
()
M
I
VaE V
VaE a
λ
λ
++ >
++ >
1-
have no solution. That is
M
L
HL
θ
<−
,
00
2
()()()
I
M
Va V
L
H
LHLaLHLHL
θ
θ
<−
−++ −−
(7)
The above results can be expressed as Figure 2,
Where district means equity issue, district
means debt issue and district means the manager
will desert investment.
I
θ
M
θ
E
D
F
G
1
0
1
Figure 2: Corporate financing decisions.
2.4 Testable Prediction
From the conditions (4)(5), we know that only the
investor’s predicted value is high enough can the
manager choose to issue equity. The condition (6)
shows that when the manager’s predicted value is
high enough the firm will issue debt. The condition
(7) shows that when the manager’s and the
investor’s predicted values are all low the firm will
desert the investment. So we have the following
prediction:
Prediction: The higher the difference between the
investor’s and the manager’s predicted value, the
more likely a firm tends to issue equity.
3 EMPIRICAL METHOD
3.1 Sample Selection and Source of
Data Description of Variable
We use a sample of firms that issue seasoned equity
or nonconvertible debt from Chinese A-share firms
listed in Shanghai and Shenzhen Stock Exchanges
between 2005 and 2010. This is because of the
absence of analysis earnings forecasts data and few
firms issue debt before 2005. All security issuance
data are from the Wind database. If a firm has
multiple issuances in a calendar year, we use only
the first issuance. We further delete the issues by the
following firms: (1) firms by ST, PT; (2) firms that
asset-liability ratio beyond 100%; (3) financial
firms. (4) firms with Chinese B-share, Honking-
share. This produces a sample of 443 seasoned
equity issuers and 431 nonconvertible debt issuers.
3.2 Description of Variable
(1) Dependent Variable (
TAPE
)
We use the discrete dependent variable
TAPE
to
describe manager’s issuance decision and assume
that
TAPE
equals 1 for an equity issuance and
equals 0 for a debt issuance.
(2) Independent Variable (
I
MHB
)
Following Lin, Hu and Chen(2005), Yu, Xia and
Zou(2006), we use the difference between the
analysts earnings forecasts and the announced
earnings by the firm at the fiscal year of the issue to
proxy the degree of heterogeneous beliefs between
the manager and investors.
(3) Control Variable
The other independent variables are described in
ICEIS 2011 - 13th International Conference on Enterprise Information Systems
386
table 2. All control variables are measured at the end
of the year prior to the issue.
Table 2: This caption has one line so it is centered.
Variable name
Variable definition
L
nTA
log of total asserts
E
xTS
exchange-traded shares to total shares
RNA
return to net assets
InTS
institutional shares to total shares
TaTA
tangible assets to total asserts
DAMI
debt to assets minus the median
3.3 Methodology
We use Probit regression to test the theoretical
prediction due to the dummy independent variable.
The regression can be expressed as the following
equation (8), where individual firms are index
i
and
year
t
, and
)(F
is the cumulative distribution
function of a standard normal variable. All the data
are disposed using the soft of eviews6.0 and
excel2003.
4 EMPIRICAL RESULT
Table 3 presents a series of Probit regression results
employing independent variables, such as
heterogeneous beliefs between the manager and
investors, log of total asserts, ratio of exchange-
traded shares to total shares, ratio of return to net
assets, ratio of institutional shares to total shares,
ratio of tangible assets to total asserts and the ratio
of debt to assets minus the median in its industry,
which may have impact on financing decision in
prior literature.
In terms of coefficient and significance of
variable, the coefficient of key variable
I
MHB
is
positive and significant at
%1
or 5% level in all
equations, which indicate that the higher the
heterogeneity of beliefs between the investors and
the manager, the more likely a firm is to issue
equity. The result empirically supports our
prediction and is consistent with Dittmar and
Thakor(2007) empirical result in American financial
market. Additionally, conclusions about control
variables are consistent with prior studies. We also
1,2,13,14,1
,
5,16 ,17 ,1
(1)
it it it it
rit
it it it
IMHB LnTA ExTS RNA
P TAPE F
InTS TaTA DAMI C
ββ β β
ββ β
−−
−−
⋅+ + +
⎛⎞
==
⎜⎟
⎜⎟
+⋅ + ++ +
⎝⎠
(8)
Table 3: Probit regressions of the heterogeneous beliefs’ impact on corporate financing decision.
eq01 eq02 eq03 eq04 eq05 eq06
C
5.648***
(7.252)
5.698***
(6.547)
5.787***
(6.448)
5.294***
(5.759)
5.648***
(5.239)
5.661***
(5.651)
I
MHB
2.220***
(2.633)
2.205**
(2.542)
2.171**
(2.475)
2.327***
(2.599)
2.328***
(2.592)
2.328***
(2.589)
LnTA
-0.440***
(-7.313)
-0.473***
(-7.270)
-0.498***
(-7.374)
-0.459***
(-6.605)
-0.477***
(-6.360)
-0.486***
(-6.453)
ExTS
0.815**
(2.343)
1.003***
(2.720)
1.198***
(3.131)
1.148***
(2.937)
1.128***
(2.897)
RNA
1.139*
(1.647)
1.747**
(2.099)
1.707**
(2.041)
1.666**
(1.993)
I
nTS
-0.633*
(-1.933)
-0.620*
(-1.887)
-0.594*
(-1.794)
TaTA
-0.291
(-0.638)
D
AMI
0.467
(0.953)
2
M
cF R
0.120 0.143 0.155 0.158 0.159 0.160
LR
71.6*** 84.3*** 89.9*** 90.7*** 91.1*** 91.6***
.Obs
430 425 419 413 413 413
Note: *, **, *** indicate significance at 10%, 5%, 1%, respectively.
INVESTOR-MANAGER HETEROGENEOUS BELIEFS AND CORPORATE FINANCING DECISION
387
observe that
2
R McF
is increasing in the number of
variables, reaching its peak of 0.160, which supports
that every control variable has incremental
explanatory power over corporate financing
decision.
5 CONCLUSIONS
We present a model to investigate the relation
between corporate financing decision and the
heterogeneity of beliefs between the investors and
the manager. The model generates a new prediction
and we test it. Firstly, different values of the initial
shareholder and investors under the issues of equity,
debt and no financing are analyzed. Secondly, the
conditions on the issue of equity, debt and no
financing are confirmed respectively. Thirdly, the
prediction is presented based on the above two
conclusions. In the end, we empirically analyze the
impact of heterogeneity beliefs on security issuance
decision using a sample of issues from Chinese
financial market, and we find that heterogeneity
beliefs have explanatory power to security issuance
decision.
ACKNOWLEDGEMENTS
The authors thank National Natural Science
Foundation of China (Project No. 70821061).
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