Seasoned equity offerings evidence in Vietnamese stock market
Ho Chi Minh stock market is not efficient in term of semi-strong form. Before the
announcement day, there is a trend of stock purchasing, which is a sign of
information leakage. The market is not efficient means that 1) the information is
not transparent; 2) there are information asymmetries among groups of investor
3) information is leaked before the official information are made available to
public. We suggest that SEOs companies should strengthen the information
dissemination activities by following regulations in information dissemination of
state securities commission of Vietnam in a serious, strict manner and closely
monitored the compliance with information dissemination regulations to
guarantee the transparency, fairness and effectiveness to deal with the situation of
unbalanced information and protect individual investors
183 trang |
Chia sẻ: tueminh09 | Ngày: 08/02/2022 | Lượt xem: 440 | Lượt tải: 1
Bạn đang xem trước 20 trang tài liệu Seasoned equity offerings evidence in Vietnamese stock market, để xem tài liệu hoàn chỉnh bạn click vào nút DOWNLOAD ở trên
owth: annual growth
rate of sales.
- Investment: fixed
investment, where
Investment is measured as
the changes in fixed assets
scaled by total assets of
the firm.
- Tradeoff: difference
between the firm i’s
leverage and the average
leverage of other firms in
the same industry.
- Overvalue: difference
between the firm i’s
market to book ratio and
the average market to
book ratio of all other
firms in the same industry
in the same year.
- EAE: extra
administrative expenses=
difference between the
firm i’s administrative
expenses and the average
administrative expenses
of all other firms in the
same industry
- Nontradable : ratio of
Market timing
encourages Chinese
companies to conduct
SEOs.
Investment and
growth theory
experience weak
empirical support
while there are no
evidence to support
tradeoff and agency
theories
2
non-tradable
shareholdings to total
shares outstanding
- Industry: dummy
variables
- Gap: the number of years
between the current SEOs
and the last SEOs
- Next: a dummy variable
that takes the value of one
if the firm issue SEOs in
the next 3 years after the
current SEOs.
- Size: logarithm of total
assets.
- Profit: earnings before
interests and tax scaled by
total assets
- Debt: ratio of total debt
to total assets of the firm
- Volatility: difference
between the standard
deviation of the firm i’s
daily stock returns and the
average standard
deviation of daily stock
returns of other firms in
the same industry.
2 Chikolwa and
Kim (2009)
S&P/ASX
300 Index
2000-
2008
Probit
model
Examining
SEOs
motivation
ofAustralian
Real Estate
Trusts and the
market reaction.
- Company size
- Profitability
- Growth
opportunities
- Tangibility:
SEOit: dummy
variable that
equals 1 if an
A-REIT i issued
a SEO in year
t, otherwise 0
- SIZ: natural logarithm of
total assets
- Profitability: return on
assets (ROA)
- TOQ: ratio of the market
value of equity plus the
book value of debt to
- the book value of assets
- PPT: ratio of book value
- Companies with
higher leverage are
less likely to issue
SEOs.
- Significant
negative abnormal
return is related to
SEOs
announcement
3
- Operating risk:
- Leverage:
- Others
of property to total assets
- SDE: standard deviation
of EBIT scaled by total
assets for each firm over
the entire period covered
- LTA: : the ratio of total
liability to total asset
- DUMp,i: property sector
dummy variables of 1 or 0
otherwise
- DUMs,i: stapled structure
management dummy
variable of 1 or 0
otherwise
- DUMI,i: international
operations dummy
variable of 1 or 0
otherwise
with no evidence
of information
leakage.
- Market reaction
differently to
announcements of
SEOs in different
market period.
3 DeAngelo et.
al. (2010)
CRSP
1975-
2001
Logit
regressi
on
Assessing the
positive relation
between
likelihood that
company
conduct SEO
and its
standardized
M/B ratio as
well as market
return, and
negative relation
to its future AR
and number of
listed years.
Market timing. SEOit: equals
one if the firm
conducts an SEO
in the year in
question and
zero otherwise.
- The standardized M/B
ratio
- The market-adjusted stock
return over the 36 months
ending immediately
before the year in
question.
- The market-adjusted
return over the 36-month
Companies with
higher M/B and three
preceding year AR
are more likely to
issue SEOs.
4 Jung et. al
(1996)
US 1977-
1984
Logisti
c
regressi
Investigating the
explanatory
power of
- Taxation
- Costs of financial
SEOit: dummy
variable, takes
the value one for
- Tax payment/TA: tax
payments/book value of
total assets
The authors support
the agency model
while experience the
4
on pecking order
model, agency
model, timing
model to
determination of
financing
resources as
well as market
reaction.
distress.
- Probability
- Risk
- Investment
opportunity
- Market timing
- Others (Total
assets; Gross
proceeds/MVCS;
Log of
(Amount/MVCS)
equity issues and
zero otherwise.
- Long-term debt/TA: long
term debts/ book value of
total assets
- Cash flow: (operating
income before
depreciation – total taxes
adjusted for changes in
deferred taxes – gross
interest expense –
dividend paid)/total assets
- Stock return volatility
6-month leading indicator
- Market-to-book
- Past 11month cumulative
excess return
- Cash and liquid/total
assets
- Post-issue 5-year excess
returns
- Total assets
- Gross proceeds/Market
value of equity
- Log of (Amount/MVCS)
failure for pecking
order and timing
model.
5 Abraham et.
al. (2011)
US 2002 -
2005
Logisti
c
model
Proposing a
method
to estimate the
features of
SEOs
companies.
Company liquidity P(SEO offering):
taking values of
1 if the firm had
a probability of
SEO offerings or
) otherwise
- RE: retained earnings
measured by common
equity
- LTD: long-term debt
- CE: capital expenditure
- D: dividends
- DR: debt reduction
- CD: current debt
- C: cash and short-term
investment
- NI: net income
Companies with
strong fundamental
have more tendency
to conduct SEOs.
5
6 Jeanneret
(2003)
France
1984 -
2000
Probit
model
Testing whether
the relation
between the
informational
content of
equity offering
announcements
and their effect
on company
value depends
on the offering
purpose.
- Information
asymmetry
- Risk
- Tradeoff theory
- Other Control
Variables
I: dummy
variable, takes
the value one for
equity issues and
zero otherwise.
- ROA: Return on Assets
- Runup: Issuer’s stock
price runup computed
over the 250 trading days
- Mrunup: stock market
runup computed over the
250 trading days prior
- Mvol: Market volatility
computed over 75 trading
days
- Δcredit: Credit spread
(difference in yield
between 10 year French
corporate bonds and 10-
year French government
bonds)
- Δterm: Term spread
(difference in interest rate
between 10 year French
government bonds and 1-
month Euro FRF rate)
- Specific: volatility of the
market model residuals
estimated over the pre-
announcement period [-
255;-6]
- Δtarget: Deviation from
the industry median
leverage ratio (debt over
assets in book values)
- FCF: Free cash flow
(over assets in book
value)
- MB: the last pre-SEO
fiscal year book value of
equity divided by the
corresponding market
- The SEOs
announcements
convey
unpredicted
company value
information.
- Information
released in the
prospectus
increases the
explanatory power
of the valuation
effect at the
announcement.
6
value of equity
- Size: Log of the market
capitalization
7 Elliott et. al.
(2008)
US 1980
- 1999
Logit
model
Testing the
market timing
theory of capital
structure using
an earnings-
based valuation
model
- Growth options
(CapEX; R&D)
- Size
- Tangibility
- Profitability
- Depreciation
- Target
leverage(Target-
Leverage;
IdnLeverage)
- Credit quality
- Tax benefits
- Interest rates
- Others
IssueTypej: takes
the value of 1 for
debt and the a
value of 0 for
equity
- CapEx: apital
expenditures divided by
total assets
- R&D: ratio of research
and development expense
to total assets
- Ln Sales
- Tangibility: ratio of fixed
assets to total assets
- Profitability:
EBITDA/Assets
- Depreciation: ratio of
depreciation expense to
total assets
- Target-Leverage = (Total
Assets – Book Equity)/
Total Assets
- IdnLeverage: median of
industry leverage.
- Tax Rate: marginal tax
rate of the firm based on
the marginal tax rates
- Debt capacity – leverage:
debt/total assets
- 3 year mean ROA
- 2-year stock return:
- Market-to-book ratio:
market value of equity in
the month prior to the
issue.
- Firms whose
equity is
overvalued are
significantly more
likely to issue
equity
- Equity mispricing
plays important
role on financing
decision
8 Eric Duca
(2011)
US 1980-
2007
Probit
model
Testing the
effect of timing
the market on
returns after
- Matket timing (6
Mth. post-previous
rets. (12 Mth.
post-previous
Probability of
issuing equity
for firms takes
value 1 if a
- 6 Mth. post-previous rets.
(12 Mth. post-previous
rets.): buy and hold
returns over the 6 month
- Market timing is
commonly cited as
a determinant of
equity issues,
7
seasoned equity
of US
companies from
1980-2007
rets.); 6 Mth. post-
IPO rets. (12 Mth.
post-IPO rets.))
- Information
asymmetry
- Risk
- Information
asymmetry
- Tax
- Growth
opportunity
(Tobin's Q;
R&D expense).
- Tradeoff theory
firm makes an
issue in a firm
- year and 0
otherwise
(12 month) period after a
previous SEO
- 6 Mth. post-IPO rets. (12
Mth. post-IPO rets.): buy
and hold returns over
the 6 month (12 month)
period after a previous
IPO
- Abn. Stock return: The
raw cumulative stock
return over trading days -
62 to - 2 prior to the
announcement date less
the CRSP equally
weighted market index
return over the same
period
- Stock Volatility:
annualized standard
deviation of daily stock
returns over trading days -
62 to - 2 before the
announcement date
- Slack: Cash and short -
term investment divided
by total assets
- Fixed assets
- Ln(Sales): natural
logarithm of total sales
- Taxes: tax/total assets
- Tobin's Q
- R&D expense
-
- Leverage-Target:
deviation of the market
leverage from the target
although the cost
of timing equity
offerings on future
issues are not
well known
- Following an
equity issue, firms
are more likely to
switch to debt if
they had timed
their previous
equity offering.
8
- Market timing
- Others
leverage
- Market runup: return on
the S&P 500 index over
the quarter preceding the
issue date
- KZ index: Kaplan and
Zingales Index
- Age: difference, between
the issue date and the date
that the firm first appears
in the CRSP database.
- Interest rates:
- Default premium:
difference between yields
on Baa rated corporate
Bonds and Aaa bonds
- Years previous issue:
number of years that
have elapsed since the
previous issue
- Previous underpricing:
logarit of (closed day
price of day before
announcement/announce
ment day price)
- IPO underpricing:
- Confidence Index:
average level of the
University of Michigan
Consumer Sentiment
Index over the three
months prior to issuance
9 A. Altı, J.
Sulaeman
(2012)
US 1985
- 2005
Probit
model
To investigate
the
consideration of
- Market timing
opportunities and
growth prospects
Pr(SEOannounc
ement):
probability that
- Lagged six month stock
return: stock returns 6
months before
- High stock returns
accompanied by
strong investor
9
company when
timing the
SEOs.
- Information
asymmetry
- Investment and
growth
(Investment and
R&D).
- Others
company will
announce its
SEO
announcement day.
- M/B: market value/book
value ratio
- Firm size: Logarithm of
firm book value
- Profitability:
EBITDA/book value of
total assets
- Investment: capital
expenditure/book value
of total assets
- R&D: R&D expenses/
book value of total assets
- Firm age: Logarithm of
the number of quarters
since the first appearance
of the firm CRSP
- Volatility: Annualized
standard deviation of
daily stock returns
measured over one
quarter
- IPO dummy: Indicator
variable: one if the firm
has been public for less
than two year
- Turnover: Quarterly
share trading volume
divided by shares
outstanding
- Institutional ownership:
Fraction of shares
outstanding owned by
institutional investors
- Leverage: Book debt
divided by book assets.
demand trigger
SEOs.
- Institutional
purchases instead
of stock price
increase strongly
affect company’s
SEOs motivation.1
1 Huang (2012) China Logisti Discuss and - Tradeoff theory : = 1 if - Lev_indus : the firm’s Companies with
10
(Source: author’s recapitulation)
0 (CCER)
1994 -
2006
c
model
examine the
motivation to
conduct SEO of
listed Chinese
companies.
- Information
asymmetry
theory.
- Agency cost
- Others (TIME ;
Size ;
YrEI ; Profit
; Lev
RevG )
company
conducts SEO in
year t; 0:
otherwise
leverage minus
- industry average;
- PSR : six-month
share returns prior to the
SEO
- OwnCon , : average
ownership concentration.
- ManHold , : average
managerial holding
- TIME : = 1 if the year is
before 2002, and 0
- if the year is during 2002
and 2006
- Size : the natural log
of the firm’s total assets.
- YrEI : years since the
firm’s last equity
- issue which includes the
IPO and SEOs
- Profit : EBIT divided
by total assets.
- RevG : the percentage
change in operating
revenue
higher leverage in
comparison to their
optimal leverage,
higher stock returns,
weaker ownership
concentration are
more likely to
conduct SEOs.
11
APPENDIX 2
MARKET REACTION TO COMPANY’S SEOs
1. Summary of Literature review on SEOs empirical studies in developed markets:
No. Author Data Methodology Research objectives Results Interpretation
1 Masulis and
Korwa
(1986)
NYSE/AMEX
1963-1980.
1406 SEO cases.
Event study
To examine market
reaction toward company
SEO announcement
Portfolio returns on
announcement day:
Issuance not
accompanied by
stock sold to
manager:
AAR = - 1.21%
(***)
Issuance
accompanied by
stock sold to
manager:
AAR = - 2.69%
(***)
A reduction in ownership of
manager is negative
information about company
current value to the market.
2 Dhatt (1996) Korean Stock
market
1977-1991
791 right
distributions
Buy and Hold Examine stock prices
respond to right
distributions in Korean
stock market.
= 2.41% (**) The high volume of the SEOs
will reduce the level of
liability in a company then
reduce the cost of financial
distress; the better the
company is, the higher the
SEOs issuance price it offers.
3 Jung et al.
(1996)
USA 1977-1984
192 SEO cases
Market
model
Investigating the pecking
order model, the agency
model, and the timing
model power in explaining
; = - 2.70% (*) Company with high agency
cost will conduct SEO if they
have poor investment
opportunities.
12
company financing
decisions and stock price
reaction to their decisions.
4 Tsangarakis
(1996)
Athens Stock
Exchange
1981-1990.
111 SEOs cases.
Event study Examine stock price
reaction toward company
SEO in Athens Stock
Market.
; =
0.02451(***)
SEOs increase the capital in
the company, increase the
ownership of big investors
then reduce the agency cost; at
announcement day the level of
information asymmetry is at
low level.
5 Slovin et al.
(2000)
London Stock
Market 1986 –
1994.
220 right
distributions and
76 private
placements.
Market
model
Measure influences of SEO
announcement and issuance
method on stock returns at
UK market.
Abnormal returns [-
1;0] with 0 is
announcement day =
-3.09%***
Market expects that managers
will conduct SEOs when stock
price of company is
overvalued or company cash
flow is below its expectation
6 Tan et al.
(2002)
SGX 1987- 1996 .
56 companies (65
right distributions
and 67 private
placement)
Event study Examine stock price
response to SEO
announcement at Singapore
market.
; = 1.649%
**
Company conducted SEOS
after a period of stock price
increasing; there is a trend of
information leaked before the
announcement day that enable
speculators to achieve high
returns.
7 Rezaul Kabir
et. al. (2002)
Amsterdam
Exchanges 1/1984
– 12/1995. 76
industrial
Event study Examine the impact of
stock valuation to
subsequent company
performance.
; = - 2.79%**. Equity rights issue is
considered negative news to
the market.
13
companies in
Netherlands.
8 Lee (2007) US 1980-1988.
864 SEO cases.
Market
model
Evaluate stock price
reaction to company SEO
announcement by internal
trading.
, : - 2.13%*** Returns on announcement day
reduce in a larger scale when
information about company
net selling than net buying
available
9 Walker et al.
(2008)
Thomson
Financial’s
Corporate New
Issues data stream
- US 1997-2000.
438 companies.
Market
model
Examine the ex-ante
purpose of capital using of
company and how market
reacts to that information.
; = - 2.76%
The more specific plan on the
use of funding will lead to
better market reaction.
10 Balachandran
(2008)
London stock
exchange
1996- 2005.
1001 SEO cases
Event study Investigate how the market
react to SEOs
announcement, and
determinations of issuing
type
; = - 1.59%*** Companies signal their quality
by offering lower issued price
discounts; lower risk and the
use of share pre-renouncement
11 R. Aggarwal
et. al.(2008)
US 1983 – 2003.
8127 SEO cases
Regression
model
Point out the reason why
SEO announcement leads
to significantly negatively
market reaction.
= - 1.7%
Added shares increase market
selling pressure.
12 Owen and
Suchard
(2008)
Australian Stock
market 1993 –
2001.
207 right
distributions.
OLS
regression
Investigate abnormal
returns resulting from the
announcement of a rights
issue of equity in Australia
= - 0.77%**
; = -
1.83%***
SEO announcement conveys
negative information about
company profit or investment
opportunities.
Companies which expect their
stock price decrease in
issuance period will self-
14
defend by offering a relative
low price to encourage
investors to join the issuance.
13 Chikolwa
(2009)
S&P/ASX 300
Index 2000-2008.
277 SEO cases
Event study Examines the SEOs
decision by Australian
Real Estate Trusts and
how the market react to the
offerings
ASAR0= - 0.564%*
SEOs increase price pressure,
lead to wealth transfer from
shareholders to creditors, and
information about capital
raising shows negative signal
about company current cash
flow.
14 Eric Duca
(2011)
US 1980-2007.
2420 SEO cases
OLS
regression
Examine effect of choosing
market timing on stock
returns after SEO.
SEO following
another SEO:
CAR ; = - 0.020
SEO following IPO
; = - 0.026
Company will choose market
timing to conduct SEOs;
investors, on another hand,
tend to adjust stock price to
respond to this information,
company will compensate for
investors by offering a relative
low price in the next SEOs.
15 Fu et al.
(2012)
US 1985- 2010.
6645 SEO cases
Regression
model
To verify results of prior
studies that the years
following share
repurchases will generate
high stock AR while the
year following SEOs will
lead to low stock AR.
, = - 2.77%
***
Because the efficiency of the
market is improved gradually,
fewer firms will exploit the
market timing to repurchase
stocks and offer SEOs.
15
2. Summary of Literature review on SEOs empirical studies in emerging markets:
No. Authors Data Methodology Research objectives Results Interpretation
1 Salamudin
et. al.(1999)
Malaysia stock
market 1/1980-
12/1995.
255 right
distributions
Event study
Examine stock price reaction
toward company’s right
distributions
Favorable market
timing:
= 0.003
Unfavorable market
timing:
= -0.0083
Investors expect that
money derived from the
issuance will be used to
finance for profitable
projects at potentially
developing countries
with high economic
growth.
2 Cahit
Adaoglu
(2006)
Istanbul Stock
Exchange 1994-
1999.
294 right
distributions
Market
model
Examine how the Istanbul
market reacts to plain and
simultaneous distribution of
bonus issues rights.
Unsweetened:
AR0 = −0.02107**
Sweetened:
AR0 = 0.00489
The AR for
unsweetened rights is
significant negative
since they convey
unfavorable information
about company
activities. On the other
hand, the sweetened
rights offerings lead to
positive AR.
3 Marisetty et
al. (2008)
Indian capital
market 1997–
2005
203 right
distributions
1 factor
Market
model
Examines securities price
reaction to announcements
of rights issues by listed
Indian firms during the
period 1997–2005.
Rights issues with
warrants,
preference shares
or convertible
notes:
, = 0.0003
Right issues only:
, = 0.0037
SEO under right
distribution method will
increase cash resources
and financial liquidity
in company.
4 C. Chen, X. Chinese stock Event study Examines stock price CAR , Right distributions
16
Chen (2007) market 1999 –
2001.
205 SEOs
reaction to right
distributions.
1999 = - 0.010**
2000 = - 0.004
2001 = - 0.017***
increase price pressure
on stocks.
5 Humera
Shahid
(2010)
Shanghai and
Shenzhen stock
Exchange 1998-
2008.
717 SEOs
Market
returns
adjusted
model and
Average
returns
adjusted
model
Examine stock price reaction
to SEO announcements at
Chinese stock market
Right distribution :
= - 0.0018
Managers conduct
SEOs when company’s
stock price is
overvalued; investors,
then, tend to reevaluate
company’s current
stock prices on the
market.
6 Leskullawat
(2011)
Thailand Stock
market 1999-
2006.
1910 SEOs
Event study
OLS
regression
Research on SEOs of
Thailand firms from 1999 to
2006
= -0.01069***
SEOs increase price
pressure on company’s
stocks.
(Source: author’s recapitulation)
17
APPENDIX 3
DETERMINANTS OF MARKET REACTION TO COMPANY’S SEOS
1. Summary of Literature review on SEOs empirical studies in developed markets:
No. Author Financial theory Proxies
1 Masulis
(1986)
- Signaling model
- Optimal capital structure
model
- Adverse selection model
- Agency theory
- Other controlling
variables (RUNUP;
MRUNUP; D2; D3; D4)
- ΔSHR: the percentage change in the shares of common stock outstanding
- ΔLEV: the changes in the firm's financial leverage
- VAR: the stock's total risk measured by the variance of the stock's return over
the 60 trading days preceding the announcement period
- D1: whether the secondary offering component of a combination offering
involves management share sales, measured by an indicator variable
- RUNUP: the common stock's price runup over the pre-announcement three-
month period as measured by its cumulative return
- MRUNUP: the price runup in the CRSP equally weighted stock market index
over the three-month pre-announcement period as measured by its cumulative
return
- D2: whether or not the firm had made one or more common stock offerings in
the previous year
- D3: whether or not the firm had sought and obtained additional common stock
authorization in the year preceding the offering announcement,
- D4: whether or not the firm's leverage ratio at the yearend preceding the
offering is greater than the average leverage ratio over the prior four fiscal year
ends
2 Jung et al.
(1996)
- Taxation
- Cost of financial
distress
- Growth opportunities
- Cost of financial
distress
- Asymmetric
information
- Others [Gross
proceeds/MVCS; Log
- Tax payment/TA: tax/book value of total assets
- Long-term debt/TA: : long-term debt/ book value of total assets
- Market-to-book: market value / book value of total assets
- Cash flow: (operating income before depreciation – tax – gross interest expense
– dividend paid on common and preferred stock)/ book value of total assets
- Stock return volatility: CRSP daily data for the period [-240;-40]
- 6-month leading indicator
- Past 11-month cumulative excess return
- Cash and liquid/ total assets
- Total assets: total assets
18
of (Amount/MVCS)] - Post-issue 5-year excess returns: excess return of issuing firms over firms with
similar size before the issue
- Gross proceeds/MVCS: proceeds from the issue/market value of equity)
- Log of (Amount/MVCS): log of ( proceeds from the issue/market value of
equity)
3 Lee (2007) - Information asymmetry
- Price pressure
- Agency cost
- Information asymmetry
- Control variables
[RUNUP; Df; D1; D2]:
- NTRD: insider trading activity within 10 day before announcement day = net
insider trading/outstanding shares.
- FSIZE: logarithm of company shares before announcement day
- ISIZE: issuance size = proceeds from the issuance/company share value before
announcement day.
- OWNR: shares owned by insider investors/outstanding shares
- LEVC: change in company leverage
- RUNUP: cumulative stock return in the period of 60 days before announcement
day
- Df: dummy variable : times to conduct SEOs in a year
- D1, D2: industry dummy variables
4 Walker
(2008)
- Information asymmetry
- Growth opportunity
- Operating cash flow
- Level of leverage
- Level of liquidity
- Level of investment
- Pecking order theory
- Market timing
- (Stated INV)/TA-1: the amounts of capital to be used for investment/Total
assets
- (Stated GEN)/TA-1: the amounts of capital to be used for general corporate
purposes /Total assets
- (Stated DEBT)/TA-1: the amounts of capital to be used for debt repayment
/Total assets
- (INV+1–INV-1)/TA-1*INVEST_FIRM:(change in capital expenditures +
R&D)/Total assets for Invest firms
- (INV+1–INV-1)/TA-1*GENERAL_FIRM:(change in capital expenditures +
R&D)/Total assets for General firms
- (INV+1–INV-1)/TA-1*DEBT_FIRM:(change in capital
expenditures+R&D)/Total assets for debt firms
INVEST FIRM and GENERAL FIRM are indicator variables equal to one if the
firm is categorized as an INVEST firm or as a GENERAL firm, respectively;
otherwise equal to 0.
- (LTD+1 – LTD-1)/TA-1: change in long-term debt/Total assets
- (WC+1 – WC-1)/TA-1: change in working capital/Total assets
19
- Q-1: (market value of equity − book value of equity+book value of assets)/book
value of assets
- OBID-1/TA-1: operating income before depreciation/total assets
- PPE-1/TA-1: plant, property and equipment/total assets
- LN(TA-1): ln of total assets
- RUNUP: market- adjusted abnormal returns from day −61 to −2, where day 0
is the announcement date
- SECONDARY: indicator that equals one if the SEO includes some secondary
shares, otherwise equal to 0
5 R. Aggarwal,
X. Zhao
(2008)
Growth opportunity
Liquidity
Information asymmetry
Growth opportunity
Others (Size, ∆Leverage ;
∆Volatility)
- MB: ratio of market value of total assets to book value of total assets
- Offer Size: ratio of shares issued to the number of shares outstanding before
the issuance date
- Turnover: total trading volume during the period [−1, 1] as a proportion of the
total number of shares outstanding in day −1
- Analyst Coverage: average number of analysts making monthly forecast of 1-
year-ahead earnings per share within a twelve-month period
- Dispersion: standard deviation of the earnings forecast scaled by the absolute
value of the mean earnings forecast.
- Price Run-up: annualized return during the 125 days before SEO announcement
- Size: Log of market capitalization
- ∆Leverage: difference between total market leverage after issuance and before
issuance
- ∆Volatility: annualized returns volatilities estimated using 125 daily returns
data before SEO announcement.
6 M.S. Officer
(2011)
- Growth opportunity
- Cash flow signaling
hypothesis
- Agency cost
- Firm’s characteristics
[Log(Size); Dividend
yield; Δrisk; Prior
repurchases; ROA;
RE/TE]
- Q: (total assets + fiscal-year-end market value of equity - book value of equity -
balance sheet deferred taxes)/total assets
- Low Q: indicator variable equal to one if the initiating firm's Q is less than or
equal to the industry/year median
- Cash flow from operations (industry adjusted): (earnings before extraordinary
items + depreciation and amortization - working capital accruals)/ total assets
- Low Q * Cash flow from operations (industry adjusted)
- Log(Size): log of market value of equity
- Dividend yield: mount of the initial dividend divided by the stock price three
20
trading days prior to the dividend initiation announcement date
- Δrisk: change in the risk premium after the announcement of a dividend
initiation.
- Prior repurchases: indicator variable equal to one if the initiating firm
repurchases stock in the five years prior to the dividend initiation, and zero
otherwise.
- ROA
- RE/TE: retained earnings/book value of equity
7 Eric Duca
(2011)
- Market timing
- Information asymmetry
- Growth opportunity
- Information asymmetry
- Financial constrain
- Others (Age; Years
previous issue;
Previous debt issue;
Previous underpricing;
IPO underpricing;
Inverse Mills' ratio)
- 6 Mth. post-previous rets. (12 Mth. post-previous rets.): buy-and-hold returs in
the period of 6 months (12 months) after previous SEO.
- 6 Mth. post-IPO rets. (12 Mth. post-IPO rets.): buy-and-hold returs in the
period of 6 months (12 months) after previous IPO.
- Abn. Stock return: monthly stock return – market return
- Residual volatility: annualized standard deviation of residuals from a regression
of daily excess stock returns on excess returns of the value-weighted CRSP
market portfolio, estimated over trading days -62 to -2 before the announcement
date.
Systematic volatility: annualized standard deviation of the predicted value from
a regression of daily excess stock returns on excess returns of the value -
weighted CRSP market portfolio, estimated over trading days -62 to -2 before
the announcement date.
- Slack: Cash and short term investments/total assets
- Fixed assets
- Ln(Sales): logarithm of sale
- Taxes: tax/total assets
- Tobin's Q
- R&D expense
- Leverage-Target: the deviation of the market leverage from the target leverage
- KZ index: Kaplan and Zingales index
- Age: difference, in years, between the issue date and the date that the firm first
appears in the CRSP database
- Years previous issue: the number of years that have elapsed since the previous
issue
21
- Previous debt issue: dummy variable for issuers that make a debt issue in
between the current SEO and a previous equity offering.
- Previous underpricing: logarithm (closing price of day before announcement
day/price of announcement day)
- IPO underpricing:
- Inverse Mills' ratio
8 Fu et al.
(2012)
- Market timing
- Market timing
- Others: [Cash/Assets;
Debt/Assets;
EBITDA/Assets;
Return volatility; 3-year
CAPX/Assets;
Proceeds/ME; Industry
dummy; Post 2002
dummy; Log (Assets)]
- Prior 12 - month returns: the compound return in the 12 months before the
announcement
- B/M: book to market equity ratio
- Cash/Assets: cash and marketable securities/total assets
- Debt/Assets: long-term debt/total assets
- EBITDA/Assets: BITDA/total assets
- Return volatility: (standard deviation of daily returns in the previous 12
months
- 3-year CAPX/Assets: sum of capital expenditures in the following three years
divide d by total assets
- Proceeds/ME:(transaction value scaled by market capitalization before
announcement
- Industry dummy
- Log (Assets): Log (Total assets)
22
9 Balachandran
(2008)
- Quality signaling
hypothesis
- Growth opportunity
- Information asymmetry
- Ownership
Concentration company
quality
- Leverage
- Issuance size
- DISC: the subscription price discount;
- BM: book-to-market ratio measured as book value of assets to market value of
assets;
- LMV: logarithm of the market value of the i issuing firm one month prior to the
announcement
- IDYRISK: idiosyncratic risk measured as the standard error of the market
model regression of daily stock returns over the period from day -260 to day -61
for each issuing company
- BH5: blockholders holding shares of 5% of more;
- DUW: dummy variable equal to 1 if the issue is fully underwritten, and zero
otherwise
- RUNUP: raw return for the one-year period prior to the announcement date
(return from -260 to day -2);
- TD/TA: total debt to total assets;
- LOP: natural logarithm of the offer proceeds;
- LOPtoMV: natural logarithm of the ratio of offer proceeds to market value one
month before the announcement date
10 Owen and
Suchard
(2008)
- Information
asymmetry.
- Growth opportunity
- Agency cost
- Industry dummy
- The use of proceeds
-
- ISSUE: gross proceeds of the issue as a percentage of the market value of the
firm
- FIRM: log of total assets
- VOL: standard deviation of daily stock returns in the year prior to the
announcement
- CONCENTRATION: the percentage shareholding of the top 20 shareholders
prior to the announcement
- RENOUNCE: Dummy variable =1 if an issue is renounceable
- PREDISC: Predicted discount price
- GO: Book value of equity / market value equity
- UWCOST: underwriting fee as a percentage of the offer proceeds
- RANK: takes the value of one if the underwriter of the issue appears in the top
10 underwriters as reported by Thomson Financials’ rankings in the calendar
year prior to the rights issue announcement
- INSTIT: percentage of shares owned by institutions prior to the announcement
date.
23
- RUNUP: cumulative excess return over the period (-60,-1).
- LEVERAGE: post-announcement debt to equity ratio over the pre-
announcement debt to equity ratio.
- MGT: percentage ownership of managers at the yearend before the
announcement
- RESOURCE: equal to 1 if the issuer is a resource firm and zero otherwise
- RETIREDEBT: equals one if the issue is used to retire debt
- UW: equals one if the issue is used for working capital purposes
11 Chikolwa
(2009)
- Price pressure
hypothesis
- Wealth effects
hypothesis
- Profitability
- investment opportunity
hypothesis
- Risk
- Information asymmetry
hypothesis
- Industry dummy
- ERD: natural log of AU$ millions of seasoned equity raised
- LTA: the ratio of total liability to total assets
- ROA: return on assets
- TOQ: ratio of the market value of equity plus the book value of debt to
the book value of assets
- PPT: ratio of book value of property to total assets
- SDE: standard deviation of EBIT scaled by total assets for each firm over the
entire period covered
- SIZ: natural logarithm of total assets
- DUMp,i: dummy variable for property sector
- DUMs,i: dummy variable for stapled management structure.
- DUMI,i: dummy variable for international operations
12 Tan et al.
(2002)
- Price pressure effects
- Investment opportunity
effect
- Wealth transfer effects
- Pricing effects
- Information asymmetry
effects
- Ownership structure
effects
- LIQ: ratio of the firm’s average daily trading volume from t=-200 to t=0, to the
number of shares outstanding before the seasoned equity issue
- VAR: variance of daily stock returns from day t=-200 to t=0
- LnProvMV: natural logarithm of the ratio of the proceeds to the market
value of the firm on day t=-30
- INV: the announcement of investment opportunities and/or capital expenditure.
INV is set equal to 1 announcement of investment opportunities and/or
capital expenditure, equal to 0 when the issuing firms announce that the
issuance proceeds will be used for repayment of debt or financing working
capital needs
- ΔDE: change in the issuing firm’s debt-to-equity ratio
- PRC: ratio of the offer price to the closing price of the share on day
t=30
24
(Source: author’s recapitulation)
2. Summary of Literature review on SEOs empirical studies in emerging markets:
No. Authors Financial theory Proxies
1 Tsangarakis
(1996)
- Investment
opportunity
- Price pressure
- Signaling theory
- Information
asymmetry
-
- Liquidity
- Market timing
- Ownership dummy
- INVEST: increased capital.
- SIZE: stock volume after issuance.
- VAR: variance of stock returns.
- OFFER: issuance price.
- DTOA: dummy variable, equal to 1 if ratio of debt/total assets of
company is below median of sample’s ratio of debt/total assets.
- CONTR: measure the dispersion of company’s ownership.
- LIQUID: liquidity of stocks.
- MARKET: cumulative market returns in the period [-50;-1] before
announcement day.
- S-P: dummy variable, equal to 1 if company is stated-owned companies.
- B-R: dummy variable, equal to 1 if investors do not have to subscript to
- BM: book-to-market-equity ratio on day t=-30
- ΔOL: difference between the level of ownership concentration before and after
the private placement
13 Rezaul Kabir
(2002)
- Information asymmetry
hypothesis
- Free cash flows
hypothesis
- Window of opportunity
hypothesis
- Issue-size: relative to the market value of equity on the day before the
announcement.
- Isues-price: relative to the closing stock price of one day and three days before
the issue announcement as well as the average of closing stock prices for ten
days before the announcement
- M/B: sum of market value of equity and book value of debt divided by book
value of total assets
- GDP: dummy variable set to 1 if the issue occurs in years of relatively high
growth rate of GDP
25
own new issued shares.
2 Dhatt (1996) - Signaling theory
- Information
asymmetry
- Price pressure
Company prospect
- LMVE: log of the market value of equity at the end of the fiscal year
before the announcement
- PCEDR: percentage change in the ratio of market value of equity to book
value of debt during the rights issue year
- PERSIZ: number of shares offered in the rights issue divided by number
of shares outstanding before the offer
- PERPRI: subscription price divided by the stock's market price one
month before the announcement
3 Salamudin
et. al.(1999)
- Information
asymmetry
- Price pressure
hypothesis
- Growth opportunities
- Economic condition
Market timing
- SDAR: standard deviation of abnormal returns for days t=-60 to t=-9
- ROFFER: ratio of offer price to average 20 days pre-announcement price
- LVOL: gross amount of funds raised at offering, in logarithmic
specification.
- RINV: relative investment given by ratio of funds allocated for
investment and working capital purposes to gross amount of funds raised.
- TOBINQ: market value of equity plus book value of debt divided by
book value of total assets
- ROA: gross profits divided by total assets
- ECON: a dichotomous variable, which takes on the value 1 for issues
made during periods of declining risk premium and 0 otherwise
- MRUNUP: 60 days pre-announcement market returns
5 Leskullawat
(2011)
- Information
asymmetry
- Growth opportunity
- Leverage
- Company
performance
- Ownership
Others (P/E; TURN;
- SIZE: The ratio of market capitalization
- M/B: The change in market to book ratio is defined as the difference in
the market to book ratio in the year of issuing and the average 3 years of
this ratio before the year of offering
- LEVERAGE: difference between leverage ratio in the year of issuing
and average leverage ratio 3 years before the issue year
- The difference between ROA, ROE or EBITDA in the offering
year and average ROA, ROE or EBITDA for 3 years before the year
of offering
26
EVENT) - OWN: difference between the top five largest major shareholders in
the year of offering and the top five largest major shareholders 3
years before the issuing year
- P/E: P/E ratio in the issued year minus average P/E ratio 3 years before
the issuing year
- TURN: ratio that measures trading volume in comparison to the
number of shares outstanding
- EVENT: refer to events other than SEOs during the period of 115
days before and after the SEO announcement (day 0)
6 Hong Bo et
al. (2011)
- Financing for
investment and
growth
- The tradeoff theory
Market timing
- Agency theory
- Control variables
Industry dummy
- Growth: annual growth rate of sale.
- Investment: annual growth rate of fixed investment
- Tradeoff: difference between the firm i’s leverage and the average
leverage of other firms in the same industry
- Overvalue: difference between the firm i’s MB and the average MB of all
other firms
- EAE: difference between the firm i’s administrative expenses and the
average administrative expenses of all other firms in the same industry
- Nontradable: ratio of non-tradable shareholdings to total shares
outstanding
- Size: logarithm of total assets
- Profit: earnings before interests and tax scaled by total assets
- Debt: ratio of total debt to total assets
- Volatility: difference between the standard deviation of the firm i’s daily
stock returns and the average standard deviation of daily stock returns of
other firms in the same industry
- Gap: number of years between the last and the current SEOs.
- Next: takes the value of one if the firm has another SEOs in 3 years
subsequent to the current SEOs
- Industry: industry dummy
7 Dasilas, S. Dividend signaling - BETA : systematic risk using data in the pre-event (estimation) period.
27
Leventis
(2011)
model - DY : ratio of dividend for the year over the price one day prior to
dividend announcement.
- SIZE : logarithm of market capitalization one day prior to the
announcement day.
- NV : logarithm of normal volume in the estimation period
- %D : percentage change between the current and the previous dividend
- PREAV : abnormal trading volume as a percentage of the average trading
volume during the pre-announcement period.
- DDUMMY : variable to indicate if the firms' dividend payment is below
or above the minimum.
- YEARS : dummy to control for year effects
(Source: author’s recapitulation)
28
APPENDIX 4
DETERMINANTS OF MARKET REACTION TO COMPANY’S SEOs BY RANDOM EFFECTS
AND FIXED EFFECT MODEL
1. Determinants of market reaction around SEO announcement day
Determinants of market reaction around announcement day: panel data Random effects, Fixed effects estimation. This table presents results of
regression on cumulative average abnormal return CAR[0;+2]. The sample period is from 2007 to 2013. The dependent variable is cumulative
abnormal return in the period [0;+2]. TobinQ is measured as (Market value of stock + Book value of debt)/Book value of total assets; Mrunup indicates
Market cumulative abnormal returns (VNIndex) in the period runs from day -65 to day -16, where day 0 is the announcement day; DA indicates Total
debt/Total asset; Issuesize denotes Logarithm of the volume of stock issued; Firmsize is Logarithm of total assets; Industry effect and issue method
effect are controlled by adding industry dummy (REC takes value 1 if SEOs issued company is listed in Real estate and construction group and takes
value 0 otherwise, MAI takes value 1 if SEOs issued company is listed in Manufacturing industry group and takes value 0 otherwise, SER takes value
1 if SEOs issued company is listed in Service group and takes value 0 otherwise, FBI takes value 1 if SEOs issued company is listed in Financial –
banking – Insurance services and takes value 0 otherwise, AFF takes value 1 if SEOs issued company is listed in Agriculture – Fishery – Forestry
group and takes value 0 otherwise); and issue method dummies; RMH indicates ratio of managerial holding include the board of directors, board of
supervisor, president and CEO/Total outstanding shares; t-statistics are in parentheses; *** Statistically significant at the 1% level; ** Statistically
significant at the 5% level; * Statistically significant at 10% level.
(1) (2) (3)
Random effects Fixed effects Random effects Fixed effects Random effects Fixed effects
CAR Coef. Coef. Coef. Coef. Coef. Coef.
TobinQ 0.001
(0.69)
0.006
(1.50)
0.000
(0.36)
0.004
(1.06)
Mrunup
0.052
(4.59)***
0.055
(3.64)***
0.052
(4.55)***
0.053
(3.46)***
DA -0.004 -0.057 -0.002 -0.029 -0.002 -0.040
29
(-0.31) (-1.83)* (-0.13) (-1.01) (-0.14) (-1.30)
Issuesize 0.002
(0.29)
0.005
(0.50)
0.001
(0.21)
0.003
(0.32)
0.000
(0.15)
0.003
(0.31)
Firmsize -0.011
(-1.66)*
0.024
(0.99)
-0.012
(-1.79)*
-0.003
(-0.15)
-0.011
(-1.66)*
0.014
(0.58)
Industry
2 0.002
(0.39)
-0.041
(-1.15)
0.004
(0.65)
-0.031
(-0.90)
0.004
(0.63)
-0.034
(-0.98)
3 0.005
(0.66)
-0.031
(-0.71)
0.005
(0.74)
-0.018
(-0.42)
0.005
(0.75)
-0.021
(-0.49)
4 0.023
(1.54)
(omitted)
0.027
(1.64)
(omitted)
0.026
(1.59)
(omitted)
5 0.019
(0.97)
(omitted)
0.019
(0.95)
(omitted)
0.019
(0.94)
(omitted)
Issuemethod -0.011
(-2.29)**
0.004
(0.43)
-0.010
(-2.18)**
0.003
(0.41)
-0.011
(-2.20)**
0.003
(0.39)
RMH 0.000
(0.84)
0.000
(0.26)
0.000
(0.97)
0.000
(0.20)
0.000
(0.99)
0.000
(0.21)
Cons 0.094
(2.48)**
-0.167
(-0.95)
0.101
(2.70)**
0.045
(0.37)
0.097
(2.57)**
-0.083
(-0.48)
Prob > chi2 0.1279 0.0001 0.0002
Prob > F 0.6274 0.0309 0.0350
Hausman test -11.58 -8.30 -9.40
30
Obs. 565 565 565 565 565 565
* Significant at 10% level, ** Significant at 5% level, *** Significant at 1% level
(Source: authors’ calculations)
2. Determinants of market reaction around SEOs ex-right day:
Determinants of market reaction around ex-right day: panel data Random effects, Fixed effects estimation. This table presents results of regression on
cumulative average abnormal return on CAR[0;+2]. The sample period is from 2007 to 2013. The dependent variable is cumulative abnormal return in
the period [0;+2]. TobinQ is measured as (Market value of stock + Book value of debt)/Book value of total assets; Mrunup indicates Market
cumulative abnormal returns (VNIndex) in the period runs from day -65 to day -16, where day 0 is the announcement day; DA indicates Total
debt/Total asset; Issuesize denotes Logarithm of the volume of stock issued; Firmsize is Logarithm of total assets; Industry effect and issue method
effect are controlled by adding industry dummy (REC takes value 1 if SEOs issued company is listed in Real estate and construction group and takes
value 0 otherwise, MAI takes value 1 if SEOs issued company is listed in Manufacturing industry group and takes value 0 otherwise, SER takes value
1 if SEOs issued company is listed in Service group and takes value 0 otherwise, FBI takes value 1 if SEOs issued company is listed in Financial –
banking – Insurance services and takes value 0 otherwise, AFF takes value 1 if SEOs issued company is listed in Agriculture – Fishery – Forestry
group and takes value 0 otherwise); and issue method dummies; RMH indicates ratio of managerial holding include the board of directors, board of
supervisor, president and CEO/Total outstanding shares; t-statistics are in parentheses; *** Statistically significant at the 1% level; ** Statistically
significant at the 5% level; * Statistically significant at 10% level.
(1) (2) (3)
Random effects Fixed effects Random effects Fixed effects Random effects Fixed effects
CAR Coef. Coef. Coef. Coef. Coef. Coef.
TobinQ 0.003
(2.38)**
-0.004
(-0.84)
0.003
(2.34)**
-0.004
(-0.86)
31
Mrunup
0.008
(0.50)
0.005
(0.23)
0.005
(0.30)
0.007
(0.32)
DA 0.016
(1.04)
0.009
(0.21)
0.016
(1.02)
-0.002
(-0.05)
0.016
(1.04)
0.009
(0.21)
Issuesize 0.021
(3.64)***
0.039
(3.40)***
0.023
(4.09)***
0.037
(3.30)***
0.021
(3.63)***
0.039
(3.41)***
Firmsize -0.022
(-2.99)***
-0.098
(-3.02)***
-0.025
(-3.52)***
-0.079
(-3.30)***
-0.022
(-2.99)***
-0.099
(-3.03)***
Industry
2 -0.017
(-2.14)**
-0.012
(-0.95)
-0.016
(-2.01)**
-0.011
(-0.89)
-0.017
(-2.11)**
-0.011
(-0.90)
3 -0.009
(-0.99)
-0.013
(-0.91)
-0.008
(-0.97)
-0.013
(-0.88)
-0.008
(-0.97)
-0.013
(-0.87)
4 -0.013
(-0.87)
0.005
(0.20)
-0.011
(-0.78)
0.004
(0.18)
-0.013
(-0.86)
0.005
(0.22)
5 -0.011
(-0.45)
-0.024
(-0.54)
-0.005
(-0.21)
-0.026
(-0.59)
-0.011
(-0.45)
-0.023
(-0.52)
Issuemethod 0.010
(1.56)
0.007
(0.71)
0.011
(1.61)
0.008
(0.76)
0.010
(1.56)
0.007
(0.71)
RMH -0.000
(-0.28)
0.000
(0.16)
-0.000
(-0.50)
0.001
(0.36)
-0.000
(-0.26)
0.000
(0.14)
Cons 0.040
(1.03)
0.510
(2.15)**
0.056
(1.45)
0.375
(2.17)**
0.040
(1.03)
0.517
(2.17)**
32
Prob > chi2 0.0001 0.0008 0.0002
Prob > F 0.0237 0.0293 0.0365
Hausman test -10.72 -9.72 -10.78
Obs. 575 575 575 575 575 575
* Significant at 10% level, ** Significant at 5% level, *** Significant at 1% level
(Source: authors’ calculations)