Company Profile
PT Adira Dinamika Multi Finance Tbk is an
Indonesia-based finance company primarily engaged in provisioning consumer
financing for either used or new motorcycles and cars. Besides that, the
company also provides loan. Adira established on November 13,
1990 and listed on March 31, 2004.
Adira
has become one of biggest automotive financing company in Indonesia based on
their achievement on profits and receivables. Adira has more than 28,000
employees and 698 business networks in Indonesia. Adira Finance serves more
than 3.7 million consumers with receivables 45.6 trillion rupiahs, also
dominates market by 15.7% for motorcycles and 5.7% for new cars.
Adira
has branch offices, representative offices, and dealer outlets that are located
in various areas in Indonesia, such as Jakarta, Bogor, Depok, Tangerang,
Bekasi, Serang, Banten, Pekalongan, Magelang, Solo, Gresik, Medan, Lampung,
Balikpapan, Jayapura, Ambon, Denpasar, and Kotamobagu.
Adira
finance has a commitment to give best contribution for nation with vision and
mission such as:
·
Vision: a world class finance company
Ø Building
a significant market presence
Ø Running
standardized and excellent operational processes
Ø Creating
value contribution that is sustainable for all stakeholders
·
Mission
Ø Providing
diversified products and services through various variety of distribution
channel
Ø Implementing
operational excellence and prudent risk management
Ø Providing
the best workplace for employees
Ø Enabling
communities to experience welfare
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Regression Statistics
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Multiple R
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0.31019183
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R Square
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0.096218971
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Adjusted R Square
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0.095549504
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Standard Error
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0.018532818
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Observations
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1352
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ANOVA
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df
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SS
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MS
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F
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Significance F
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Regression
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1
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0.049364436
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0.049364
|
143.7246
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0
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Residual
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1350
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0.463678219
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0.000343
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Total
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1351
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0.513042656
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Coefficients/ Beta Market
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Standard Error
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t Stat
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P-value
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Lower 95%
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Upper 95%
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Lower 95,0%
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Upper 95,0%
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Intercept
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-0.000191402
|
0.000504769
|
-0.37919
|
0.704608
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-0.00118162
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0.00079882
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-0.00118162
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0.000798816
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Rm
|
0.531168743
|
0.044306443
|
11.98852
|
1.53E-31
|
0.444251786
|
0.6180857
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0.444251786
|
0.618085701
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because Beta < 1
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market movement doesn't
affect significantly
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dividend date : October 31,2014
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recording date : November 14,2014
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payment date : November 28,2014
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DIVIDEND SUMMARY OUTPUT
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Regression Statistics
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Multiple R
|
0.997178997
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R Square
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0.994365952
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Adjusted R Square
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0.993561088
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Standard Error
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0.026999254
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Observations
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9
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ANOVA
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df
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SS
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MS
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F
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Significance F
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Regression
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1
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0.900590255
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0.900590255
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1235.44585
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0.00
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Residual
|
7
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0.005102718
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0.00072896
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Total
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8
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0.905692973
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Coefficients
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Standard Error
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t Stat
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P-value
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Lower 95%
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Upper 95%
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Lower 95.0%
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Upper 95.0%
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Intercept
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0.004846992
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0.009530989
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0.508550788
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0.62669895
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-0.017690216
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0.027384199
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-0.017690216
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0.027384199
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Rm
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1.004750621
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0.028585542
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35.1489097
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3.9152E-09
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0.937156556
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1.072344686
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0.937156556
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1.072344686
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Conclusion
Regression result between daily closing price,
market price, and dividend
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Regression
Statistics
|
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Multiple R
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0.997178997
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R Square
|
0.994365952
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Adjusted R
Square
|
0.993561088
|
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Standard Error
|
0.026999254
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Observations
|
9
|
The table shows that there is an influence between
two variables. The influence was shown
in R square result (0.99%), so it can be said that the relationship between
independent and dependent variable was very strong.
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ANOVA
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df
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SS
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MS
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F
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Significance F
|
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Regression
|
1
|
0.900590255
|
0.900590255
|
1235.445853
|
0.00
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Residual
|
7
|
0.005102718
|
0.00072896
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Total
|
8
|
0.905692973
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Coefficients
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Standard Error
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t Stat
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P-value
|
Lower 95%
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Upper 95%
|
Lower 95.0%
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Upper 95.0%
|
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Intercept
|
0.004846992
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0.009530989
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0.508550788
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0.626698953
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-0.017690216
|
0.027384
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-0.01769
|
0.027384
|
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Rm
|
1.004750621
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0.028585542
|
35.1489097
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3.91524E-09
|
0.937156556
|
1.072345
|
0.937157
|
1.072345
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From this table we know about the influence rate
between variables with its coefficient
Y = a + bX
Y
= 0.004+ 1.004X
Coefficient = 0.004
Positive coefficient shows that there is positive
influence between independent variables (stock prices and dividend) to its
dependent variables. If independent variables increase then stock price will
increase or have influence.
Rm = 1.004
Positive coefficient from market index shows that
there is influence between market index variables and stock prices. If there is
change in market index, the stock price will increase about 1.004 or 10.04%
Because the coefficient of stock price and market
index are positive, then the relationship between stock price and market index
will be positive. In other word, the increase of Rm and dividend will give
positive increase to stock price which shown in table with significance F 0.00
or under 0.05.
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