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Electronic copy available at: http://ssrn.com/abstract=1576327
The Impact of Internet Financial Reporting on Stock Prices Moderated by
Corporate Governance: Evidence from Indonesia Capital Market
Zulfa Devina Rahman
e-mail: [email protected] or [email protected]
Abstract
This study focuses on examining the impact of Internet Financial
Reporting (IFR) on stock prices in Indonesia Stock Exchange. As stated by
efficient market hypothesis (EMH), security prices at any time “fully reflect” all
available information. If the market is true efficient, voluntarily financial
information disclosed on web site would generates stock prices that reflect this
kind of information. This study also investigates whether IFR companies have
better financial condition than non IFR companies as predicted by signaling
hypothesis. Previous study said that the use of internet as reporting tool indicates
high firm’s quality because IFR firms are seen more up to date and advance in
technology than traditional firms (non IFR firms). In addition, this study tries to
explore the moderating role of corporate governance in increasing the value of
IFR companies for the investors.
This study investigates all public companies incorporated in Kompas 100
index. Kompas-100 Index is an index of 100 shares of public companies stocks
traded on Indonesia Stock Exchange (IDX) that have high liquidity and high
market capitalization. The results show that the degree of information discloses in
website has significant positive impact on abnormal return. The t-test used to test
any significant difference between IFR companies and non IFR companies shows
insignificant result. Finally, the hierarchical regression test used to examine the
impact of moderating variable, corporate governance, on IFR companies’ stock
prices also shows insignificant result.
Keywords: Internet Financial Reporting (IFR), Abnormal Return, the degree of
voluntary information disclosure, and Corporate Governance.
Electronic copy available at: http://ssrn.com/abstract=1576327
1
INTRODUCTION
The development of information technology is so rapidly increasing use of
the Internet as an important medium of communication. The Internet has become
a communication tool which use is increasingly widespread, both by the public
and the businesses as well. Surely, this condition has an impact on today's
business environment. Recently, more and more companies are developing their
own web site and disseminate information about their financial performance over
the web that they made. Internet enables the presentation of information very
quickly and in more effective and efficient way. In addition, information on the
Internet has many advantages that is easily deployed, without limitation, current,
has high interaction capabilities, and unlimited access to greater volume of data
(Asbaugh et al., 1999; Lymer, 1999; Wagenhofer, 2003; Pervan; 2006; Lai et al.,
2007). Though many benefits brought by the Internet but still many public
companies in Indonesia that do not have their own website and do not report their
financial performance over the Internet.
Through survey they did, Asbaugh et al. (1999) found the major reason
why companies use the Internet to disclose their financial performance voluntarily
was to communicate with the existing and potential shareholders. The Internet
enables the companies to make their financial information available for and reach
by all investors all over the world. However, the financial statement presented in
Internet is essentially voluntary and unregulated. It means that there is no
compulsion for companies to disclose their financial performance in the Internet
even though they already have a web site. Lai (2007) stated that there is no
international accounting standards that regulate this kind of reporting, hence the
2
practice of financial reporting on internet is based on common practices
(Budisusetyo and Almilia, 2008). Therefore, the information presented in
companies’ website will differ one to another.
Although Internet reporting is voluntarily in nature, some previous
literatures indicate that investors prefer financial information distributed
electronically compared to financial information that is distributed traditionally
for making decisions because the electronically distributed information were
viewed more timely (Asbaugh et al., 1999; Deller et al., 1999; FASB,
2000). Financial information which is traditionally expressed through the annual
reports, news media, advertisements or brochures is considered less relevant
because they have timeliness quality problems. Information considered relevant
for decision making when the information was disclosed before that information
loses its capacity to influence decisions (SFAC No. 2, FASB, 1980). Hicks and
Bacque (2008) stated information is only valuable if the information is still up to
date when the user need it and the Internet is considered to be able to provide the
best information on time.
The hypotheses of this research are based on efficient market theory and
signaling theory. If the market is efficient as defined by Fama (1970), then in
equilibrium, at any time, any information published to the market will be reflected
in stock prices. That is, the market will react to the information available on the
market such as the disclosure of financial information on the Internet. Therefore,
even though the information disclosed on the Internet is voluntary and
unregulated, it predicts the market will continue to react to this information.
3
The difference in reporting time between the financial reporting in terms
of annual reports to Bapepam (Indonesia Capital Market Supervisory Agency) and
financial reporting on the Internet makes the financial reporting on the Internet is
necessary to investigate. Lai et al. (2007) stated that this information time gap will
cause the investors to gain abnormal return from reevaluating their investment
decision. Thus, this research tries to examine whether the voluntary financial
information disclosed on the Internet influence investors’ decision. By using the
degree of information disclosed in Internet as the proxy of internet financial
reporting, this study tries to examine whether there is significant positive impact
between the degree of information disclosed on companies’ stock prices. In
addition, this study also tries to provide empirical evidence whether IFR
companies has better condition than non IFR companies, as predicted by signaling
theory. Craven and Marston (1999) states that the use of the Internet as a reporting
tool by the company indicates firms’ high quality. It also indicated a more modern
and up to date performance of the using a more advance technology compared to
traditional firms.
Furthermore, this study also tested the moderating role of corporate
governance to financial reporting on the Internet in increasing the company's
stock return. This is due to the financial reporting on the Internet is also believed
to be a form of corporate transparency (Deller et al., 1999; Silva and Alves, 2004;
Silva and Christensen, 2004). Transparency done by the company through greater
disclosure showed that the company seeks to do business with good management
or good corporate governance. Therefore, this study tries to examine whether
4
firm’s corporate governance mechanism will influence the degree of information
disclosure to increase the company's stock return.
THEORETICAL FOUNDATION AND HYPOTHESES DEVELOPMENT
Internet Financial Reporting
Internet financial reporting refers to the use of the company's website in
disseminating information about the company's financial performance (Hunter and
Smith, 2007). Financial information provided by the company through web site
include a set of comprehensive financial statements, including footnotes, partial
financial statement and/or the subjects of financial information which may include
summary financial statements or anything resulting from such reports, the stock
price data, analyst reports, discussions related to management operations, a
database of companies’ related news and other company-specific information
(Asbaugh et al. 1999; Deller et al., 1999; Lai et al. 2007; Kelton and Yang , 2008).
From this definition, we can conclude that the Internet financial reporting provide
all information about a company whether it is in form of financial information or
non financial information and it can be used by the information users to make a
decision.
Asbaugh et al. (1999) examine whether the use of the Internet by a
company will improve the relevance of its financial reporting to the market. Their
(1999) research had defined IFR on the basis of 3 criteria:
(1) Reporting that provides a comprehensive set of financial statements (including notes to the financial statements and audit reports), (2) Links to other annual reports on the Internet, (3) A link to EDGAR, the electronic system of the SEC.
5
The results found that 70% of their samples were conducting Internet
Financial Reporting (IFR) and they also found that the Internet financial reporting
practices are very difference in the quality in terms of timeliness and usefulness of
the information reported.
In 1999 more thorough studies which test the Internet financial reporting
in European countries (Lymer, 1999; Gowthorpe and Amat, 1999; Craven and
Marston 1999; Wagenhofer , 1999; Pirchegger and Wagenhofer, 1999;
Debrecency and Gray, 1999). Craven and Marston (1999) examined the
relationship between the level of financial disclosure on the Internet with
company size and type of industry. By using sample of 206 large companies in the
UK study found that large companies listed on the London Stock Exchange prefer
to report their financial information on the Internet. The results of this study also
showed that there is no significant relationship between the level of disclosure on
the Internet and the type of the industry.
Most of the previous literatures were focused on the investigation of
variables that affect the Internet financial reporting. However, little research found
focusing on tested the relationship between the financial reporting of the Internet
stock prices. Lai et al. (2007) stated that the diversity of financial information
makes it difficult to ensure the contribution of this Internet technology, especially
if it related to stock prices. One recent study that examined the relationship
between the financial reporting of the Internet stock prices is the research
conducted by Lai et al., (1999). This study tested the stock market in Taiwan and
found that the Internet Financial Reporting (IFR) companies’ stock price
fluctuates faster than non IFR companies’ stock price.
6
Hunter and Smith (2007) tested the use of Internet for financial reporting
in emerging capital markets, including Indonesia, and found that the
dissemination of information through internet are more timely and are affecting
the emerging markets. Overall, this study provides empirical evidence of the
longitudinal effects of Internet technologies such as the spread of financial
information more timely for developing markets. The results of this study
revealed that there is a positive spread in the market price and trading volume
around the event date.
Efficient Market Hypothesis (EMH) and Internet Financial Reporting
Efficient market hypothesis was first proposed by Fama (Fama, 1969;
1970). This theory predicts that if the developed capital markets such as the
Indonesian capital market, is efficient, then in equilibrium, any information that
enters the market as information disclosed on a voluntary basis through the
company website will be reacted by the market. This is proceed from the
condition of "fair game" a condition where every investor has the expected return
from the investment they made and by using the information available on the
market investors make investment decisions for which they expect the return. The
existence of voluntary disclosure on internet will make investors reevaluate their
investment decisions and they can choose whether to sell or to hold the stocks
(Lai et al., 2007).
Ettredge et al. (1999) stated that companies continue to disseminate their
financial information over the web site due to efficient market condition, web site
provide earlier information than those provide by traditional information media
and initial use of this information make sophisticated users quickly generates
7
stock prices that reflect the new information. Voluntary disclosure by companies
aimed to reduce information asymmetry between the company and
shareholders. Therefore, although the information disclosed on the Internet this is
voluntary and unregulated, this study expected that the market will continue to
react to this kind of information.
H1: The degree of voluntary information disclosure on the website will
have a positive impact on company's stock price.
Signaling Theory and Internet Financial Reporting
Signaling theory explains that the use of the Internet to disclose
information about the company is a signal of good quality companies. Financial
reporting on the Internet is a form of management efforts to reduce the
information asymmetry, so that investors will appreciate the manager’s
effort. Craven and Marston (1999) states that the use of Internet as a reporting
medium by the company indicates companies’ high quality if it compared with
conservative companies.
Beaver (1968) claimed that good companies will disclose as much as
information in order to make investors to be able to differentiate between the good
company and the bad ones. Similarly, Dutta and Bose (2007) in their study stated
that the use of the Internet to disseminate company information will minimize
investor shocks due to negative news and it will be reflected in stock prices. If a
company providing less information it will increase the information asymmetry
between management and investors. Therefore, this study posits this following
hypothesis:
8
H2: There is a difference between the abnormal stock price returns of
internet financial reporting by the abnormal stock price returns are not
doing financial reporting on the internet
Corporate Governance and Internet Financial Reporting
Corporate governance is an important element in improving economic
system and corporate governance framework also provides the definition of clear
organizational goals and how to achieve that goal. Many previous studies showed
that companies with good corporate governance will be valued higher by investors
(Black et al., 2003; Gompers, 2003). Good corporate governance will lead to the
increase in stock returns (Gompers, 2003; Drobetz, 2004; Bauer et al.,
2004). Specifically, Kelton and Yang (2008) stated that the company's corporate
governance mechanisms affect the behavior of corporate disclosure on the
Internet. Thus, this study hypothesized as below:
H3: firm’s corporate governance mechanism strenghtened the relationship
between the degree of voluntary information disclosure and the company's
stock price
RESEARCH DESIGN
Sample and Data Collection
Population of this research is all companies listed on the Indonesia Stock
Exchange (IDX) that have their own company web site. The samples used in this
study are those companies that meet the criteria established in this study. The
sampling method used in this study is purposive sampling, with the following
criteria:
9
a. Company has been listed on the Stock Exchange from 2007-2008.
b. Companies already have a web site prior to the study.
c. Company has implemented corporate governance practice
d. To control bias, this study exclude all announcements coincide with other
announcements such as dividend announcements, and the acquisition/merger
announcements.
e. Companies have similar market capitalization (company size)
f. Companies that have incomplete data are excluded from the sample.
Data collected through the website of the companies and Indonesia capital
markets website, www.idx.co.id. The collection of data through the company
website is using observation techniques.
Variables Definition and Measurement
Dependent Variable
Dependent variable in this study was abnormal return that is used to test
the information content of H1, H2 and H3. Abnormal return is calculated by using
market-adjusted model that assumes that the best measurement of expected return
is the composite index return. Here is the formula for calculating the abnormal
return:
ARit = Rit - Rmt
where, ARi,t is abnormal return of security i during period t, and Ri,t is the return
on security during period t, measured as the change of current stock price to the
previous closing price divided by the previous closing price. Rm,t is the market
index return on day t. Rm,t is computed by the change of current composite stock
10
t=5
t=1
price index divided by the previous composite stock price index. Cumulative
abnormal return is defined as:
CARi (t1,t5) = ∑ ARi,t
ARi,t definition is the same with equation (1), t1, t5 is the same interval of stock
return observation on accumulation period from t1 to t5.
To test the relationship between the financial reporting on Internet with an
abnormal return proxies by Cumulative Abnormal Return (CAR), this study uses
an "event" test method with a 5-day before and 5 days after the event date of the
reporting, so that there are 11 days observation period. Cumulative abnormal
return of each company is accumulation of the abnormal return of each company
during those 11 period days.
event window
In addition, based on researcher early observation, the difference in the
financial reporting period by the company to the Bapepam with the financial
reporting period on the Internet necessitate this study to distinguish the financial
reporting on the Internet that reported earlier and Internet reporting which are
reported later compared to the company's financial reporting period to the
Bapepam.
Independent Variable
Independent variable in this study is the degree of voluntary information
disclosure. The degree of voluntary information disclosure is measured by using
t=-5 t=-4 t=-3 t=-1 t=-2 t= 0 t= 1 t= 2 t= 3 t= 4 t= 5
11
the model developed by Spanos (2006) that is the Internet Disclosure Index (IDI)
with 50 items construct, which combines content and presentation criteria. There
are 6 main themes in the IDI that include: 1) Accounting and financial
information; 2) Corporate Governance information; 3) CSR and human resources
information; 4) Contact details to investor relations; 5) Material processable
formats; 6 ) Technological advantages and user support. Value 1 is given for each
construct that exists and the value 0 for non existence. Thus, the possibility of a
total value of the information disclosure level of each sample companies ranged
from 0 to 50.
Moderating Variable
Moderating variable in this research is corporate governance. Corporate
governance in this study was measured by using modified model of Governance
Board model by Kakabadse, Kakabadse, Kouzman (2001) in Syahkhroza
(2003). The main criteria in the assessment of the Board Governance in this study
are divided into (1) Board of Commissioner and (2) Board of Director. Each
existing construct is going to get value 1 and 0 to non existing construct.
Hypotheses Tests Model
The relationship between the level of Internet Financial Reporting by
Abnormal Return
Hypothesis 1 tested by using regression analysis with the following
equation:
CAR= α0+β1TPI+ε
12
where, CAR is cumulative abnormal return and TPI is the degree of voluntary
information disclosure and ε is error.
1. Experimental group is group of companies that have web site and disclose
financial information through their web site at the test period.
Abnormal Return Differences between companies that make financial
reporting on the Internet with a company that does not make financial
reporting on the Internet
Hypothesis 2 tested using t-test. Based on Lai et al. (2007) which refers to
Rice's (1978), to test this hypothesis 3 the companies to be tested are divided into
two groups:
2. Control group is group of companies that do not have a web site or do not
report their financial information over their web site.
As explained at the beginning, this research requires the sample companies
to have similar market capitalization to avoid bias. Therefore, the population of
this research is companies incorporated in the Kompas-100 index from the year
The relationship between Corporate Governance and Cumulative Abnormal
Return
Hypothesis 3 tested by using hierarchical regression analysis as explained
as follows:
CAR= α0+β1TPI+β2CG+ε…..................................................(1)
CAR= α0+β1TPI+β2TPI*CG+ε...............................................(2)
where, CG is corporate governance and TPI*CG is the interaction between the
degree of voluntary information disclosure and corporate governance.
Data Collection Results
13
2007-2008. Kompas-100 Index is an index of 100 shares of public companies
stocks traded on Indonesia Stock Exchange (IDX) that have high liquidity and
high market capitalization. The samples in this study are described in the
following table:
Insert table 1 here
As seen on the table, averaging 75% of 100 companies listed in the
Kompas-100 index already have website, but many of them can not be used as
sample in this study because: (1) The announcements date of financial information
that is required in the event study are not available on the web site (upload date);
(2) Financial information that the company provided in the web site are not
updated. Therefore, only about 25% of the population can be tested in this study.
Statistical Test Results
Table 2 shows descriptive statistics from the regression model using event
windows (t=11). Mean of cumulative abnormal return (CAR), the degree of
voluntary information disclosure (TPI) and corporate governance (CG) are -
0.00138; 1.5491 and 0.7041 respectively. Minimum value of the CAR, LGTPI
and LGCG are -0.18714; 1.41 and 0.70 respectively. The maximum value of
CAR, LGTPI and LGCG is 0.20762; 1.67 and 0.78 respectively.
Insert table 2 here
Hypothesis Testing and Discussion
The relationship between the Cumulative Abnormal Returns and the degree
of voluntary information disclosure
14
Hypotheses 1 is tested by using regression analysis of linear regression
model and hypothesis 3 is tested by using hierarchical regression model. This test
aims to determine the level of statistical significance of each independent variable
and the moderating variable. Summary of test results of both regression model are
summarized in table 3 below:
Based on the above hypothesis testing, it showed that the first hypothesis
is statistically supported. The first hypothesis test results showed that the higher
the degree of voluntary financial information disclosure conducted on the web site
the higher the abnormal return to be gained by investors from the investment
Insert table 3 here
Hypothesis 1 tested the influence of the degree of voluntary information
disclosure (TPI) on the Internet measured by the Internet Disclosure Index (IDI)
to stock prices proxies with cumulative abnormal return (CAR). Adjusted R2
values are used to test the goodness-fit of the regression model and shows that the
amount adjusted R2 value of 0.030 means that the variability of dependent
variables that can be explained by the independent variable is 3.0%. Adjusted R2
values are relatively small and it suggests that the ability of independent variables
in explaining the dependent variable is very limited.
The effect of the degree of voluntary information disclosure on cumulative
abnormal returns are statistical significant at 5% alpha. This is indicated by t
values of 2.289 with a significance of 0.024. The coefficient of relationship
between CAR and the degree of voluntary information disclosure is positive of
0.206. It means that each increase in the 5% the degree of voluntary information
disclosure will increase abnormal return of 0.206%.
15
decisions they made. The results of this study is consistent with Lai et al. (2007)
which states that the abnormal returns of a company's stock will rise when the
degree of voluntary disclosure by the company on the web site also increases. The
study tested 101 companies that have a web site and listed on the Taiwan Stock
Exchange. They (2007) divided those samples into two subgroups that is groups
of companies that make a complete disclosure of financial information web sites
as well as both non-financial information and corporate groups which are not
serve full disclosure. The result from test of difference or t-test (one-tailed t-test)
is significant at t =-2.3017 and the probability value of 0.0117. Lai et al (2007)
concluded that the higher the level of financial disclosure on the website will
caused company's stock price to change more quickly.
The difference between CAR of companies that make financial reporting on
the Internet with CAR of companies that do not have a website/do not
practice internet financial reporting
Hypothesis 2 in this study was tested by using t-test. Test different t-test
used to determine whether two unrelated samples have different mean values. Test
of difference or t-test was done by comparing the difference between the two
mean values with standard error of the mean difference in the two samples.
Initial output of statistical test result shows the mean cumulative abnormal
return for the company that practicing financial reporting on the web site
(experimental group) is -0.00138, while the mean for the group of companies that
do not have a web site/do not practices financial reporting on the web site (control
group) were 0.02001. It is absolutely clear that the mean cumulative abnormal
Insert table 4 here
16
returns is different between groups of companies that make financial reporting on
the website with group of companies that do not have a website. However, to see
whether this difference is real the second output must be analyzed (independent
sample test).
As seen from the output of Levene test of 16.967 with a probability of
0.000 for the probability of <0.05. It can be concluded that the data have the same
variance. Furthermore, if it viewed from the value of t for -1.643 and the
significance value for 0.102 means that the mean cumulative abnormal return of
internet financial reporting companies did not differ significantly with the
cumulative abnormal return of companies that do not have a web site/do not
practice financial disclosures on web site due to the significance value is >
0.05. Thus, the results of statistical tests indicate that hypothesis 2 is not
supported. Thus, based on statistical test results of this study can be concluded
that the announcement of financial statements on the web site is not signals
companies’ future prospect.
This result is different from the results of the study Lai et al. (2007) who
found that the abnormal return on the companies the experimental group was
significantly different from the abnormal return on the companies control
group. These results obtained by testing the abnormal return on the second day
after the day of the announcement. The opposite results of this study with
previous studies is probably attributed to earnings announcement through
quarterly financial reports are believed to be one of few sources of new
information and is not a solely source of substantial new information, then
causing the market not reacted to this information (Ball and Shivakumar, 2008).
17
Ball and Shivakumar (2008) found that earnings announcement do not
bring additional new information to the market. Information consisted in earnings
announcement are historically rather than real time to the market. They concluded
information carried in the quarterly announcements averaging only 1% to 2% of
total annual information. They found that there is a reducing value of information
generated through earnings announcement due to low frequency of
announcements, less discretionary and using historical approach. They also stated
that management forecast that is announcing earlier than earnings announcement
provide more substantial new information to the market. This condition made the
earnings announcement less relevant to the decision makers and not reacted by the
market.
The influence of corporate governance against the cumulative abnormal
return is statistically significant at 5% alpha. This is indicated by t-values of -
2.494 with a significance value of 0.014. The coefficient of corporate governance
relationship with the CAR is negative of -0.76. It means every increase in
The relationships between CAR and the degree of voluntary information
disclosure which is moderated by the Corporate Governance
Hypothesis 3 tested with hierarchical regression analysis. Adjusted R2
values are used to test the goodness-fit of the regression model and shows that the
amount adjusted R2 value of 0.066 means corresponding variability dependent
variables can be explained by the variability of the independent variable is
6.6%. The regression test of model 1 has adjusted R2 of 3.0%, while model 2 has
better adjusted R2 for 6.6%. This shows that the inclusion of moderating variables
will improve the explainability of independent variable to the dependent variable.
18
corporate governance level for 1% will reduce the abnormal return for
0.764%. This shows that the higher the corporate governance the smaller
abnormal return that can be gained by investors.
The interaction between the level of information disclosure and corporate
governance (TPI * CG) with CAR as the dependent variable has t-value of - 2.461
with the significance value of 0.015 and significant at 5% alpha. The coefficient
of interaction between TPI and corporate governance (TPI * CG) with a
cumulative abnormal return is negative of -0.478. Hence the result indicated that
the increase in the level companies’ corporate governance will reduce the
abnormal return, or vice versa. This regression test results are not in accordance
with the prediction posited by this study. Thus, hypothesis 3 in this study is not
supported.
This research shows the opposite result to the theory that is the negative
relationship between corporate governance and abnormal return. The explanation
of the opposite result might be explained by research conducted by Mannan
(2009). According to Mannan (2009) Indonesian capital market experienced
bearish conditions in 2008. This condition characterized by variations in stock
prices in Indonesia Stock Exchange (IDX), overall stock prices are decline in
extreme conditions, as well as the level of trading volume for individual shares or
even the composite index and the LQ45 index were also decline during the year
2008. This condition is attributed to investors’ Bearish (pessimistic) behavior on
globally expected capital market conditions. Bearish period is a term used by
investors to describe a period in which the market experienced a global
decline. Fabozzi and Francis (1977) stated market risk (Beta) in the period Bearish
19
tend to be unstable and therefore contributes to stock return. This condition
eventually caused the investors to act Bearish by reducing investment transactions
to avoid the relatively higher risk.
Gompers et al (2003) provide several explanations to the condition when
corporate governance valued but the value were not incorporated immediately into
stock price are due to (1) market factor (beta); (2) a firm’s market capitalization
(size); (3) book-to-market ratio and (4) immediate past return. In addition,
Cremers and Ferrel (2009) provide other explanation for this condition that is
what they called as the market "learning" the market is learning the importance of
corporate governance for companies.
CONCLUSIONS AND LIMITATIONS
The focus of this research is to examine whether financial reporting on the
website practicing by companies - related to timeliness - will affect the company's
stock price. Specifically, this study tested whether the degree of voluntary
information disclosed by companies on their web site has a significant influence
on stock prices. Some conclusions can be drawn from the results of the tests in
this study. The first results of statistical tests in this study supported the prediction
of efficient market theory and consistent with previous study conducted by Lai
(2007). This study provides empirical evidence that the degree of voluntary
information disclosed on the website has significantly positive effect on stock
prices. In other words, the higher the degree of information disclosure on the web
site the higher the abnormal return will be. Therefore, it can be concluded that the
greater the degree voluntary information provided by a company (more
transparent) the better a company's stock performance.
20
The second results of statistical tests of this study found no difference
between the abnormal stock return of IFR companies with abnormal return of that
companies do not report their financial report through internet. This opposite
result can be explained by research conducted by Ball and Shivakumar (2008).
They found that there is a reducing value of information generated through
earnings announcement due to low frequency of announcements, less
discretionary and using historical approach. This condition made the earnings
announcement less relevant to the decision makers and not reacted by the market.
Finally, test results showed that the interaction between corporate
governance and the degree of voluntary information disclosures has significant
effect on abnormal return but their relationship is negative. It means that an
increase in corporate governance will decrease the abnormal return or vice
versa. Test results can not support the third hypothesis in this study because it
contrast to the prediction that posited by this study. The explanation of the
opposite result might be explained by research conducted by Mannan (2009).
Mannan (2009) stated that Indonesia capital market suffers bearish condition in
2008- a global market decline due to unstable market condition which
characterized by an extreme decline in overall stock prices and trading volume. In
addition, Gompers (2003) and Cremers and Ferrel (2009) provide other
explanations that contributed to negative relationship between corporate
governance and stock prices that is market factor, market capitalization, book-to-
market ratio, immediate past return (Gompers, 2003) and market learning
(Cremers and Ferrel, 2009).
21
Several limitations found throughout this study are: (1) This study does
not distinguish between the nature of the announcements such as good news and
bad news; (2) The corporate governance proxy in this study are based only on the
board 6 construct of board governance and the determination of score from the
proxy is also only based on the sum of these constructs. The next study should
have built a proxy that can be relied upon in the assessment of corporate
governance based on the determination of score and weighing each of construct so
that it will resulting in a better corporate governance index measurement; (3) The
degree of disclosure of information scores is assumed to be similar every year.
This condition attribute to the lack of information about the changes in content
and presentation in the companies’ web site.
22
REFERENCES
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Ball, R. and L. Shivakumar (2008), “How much new information is there in
earnings,” Journal of Accounting Research, Vol. 46 No. 5. Bauer, R., N. Guenster, and R. Otten (2003), “Empirical evidence on Corporate
Governance in Europe: The Effect on Stock Returns, Firm Value and Performance,” Journal of Asset Management, Vol. 5, 2, 91–104.
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25
APPENDIXES
Table 1 Sampling Procedure
Data Description Years of observation
2007 2008
Companies incorporated in Kompas 100 index 100 100
Less: Companies that their financial information are
not available in IDX 1 1
Companies with incomplete data 50 51
Total experimental group samples 25 24
Control group samples 24 24
Table 2 Descriptive Statistics
Variables N Mean Minimum Maximum Standar Deviation
CAR 136 -0,00138 -0,18714 0,20762 0,07227
LGTPI 136 1,5491 1,41 1,67 0,6811
LGCG 136 0,7042 0,70 0,78 0,01976
Table 3 Statistical Results of Hypothesis 1 and Hypothesis 3
Variable Model 1 Model 2
Dependent variable CAR
(t-value)
CAR
(t-value)
Independent variable
LGTPI 2,289** 3,308*
LGCG -2,494**
Moderat -2,461**
R2 0,038 0,080
26
Adjusted R2 0,030 0,066
F 5,240** 5,746**
Table 4 t-test Result
Group Statistics
FIRM_CAT N Mean Std. Deviation Std. Error Mean
CAR Web 136 -0,00138 0,07227 0,00619 non web 136 0,02001 0,13364 0,01146
Independent Samples Statistics
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. T df Sig. (2-tailed)
CAR Equal variances assumed
16,967 0,000 -1,643 270 0,102
Equal variances not assumed
-1,643 207,740 0,102
where, firm_cat : firm category divided into web and non web.
web : group of companies that practicing internet financial
reporting non web : group of companies that do not have website/do
not practices internet financial reporting
27
28
Source: Spanos (2006)
29
Board Governance
Board Characteristic
Board of Commissioners Directors’ Background
Insideness
External Expertise/Independent Board
Board of Directors Directors’ Background
Insideness
External Expertise/Independent Board