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IMPACT OF EPS ON MARKET PRICES AND MARKET RATIO

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p> In this paper the researchers have made an attempt to examine the impact of Earnings Per Share on the MarketPrices, Price-Earning-Ratio and Price to Book Value. In the study, the researchers have taken into consideration twenty-four companies which represent Property and Real Estate industry. A reference period of seven years has been taken from 2009 to 2015. In order to achieve the objectives of the study, regression data panel has been employed and the findings put forth by the study affirmed that on the one hand there exists a positive relationship between earnings per share and market price of shares and on the other hand earnings per share does not statistically influence the market ratio. We suggest that investors must consider other factors as well as EPS in order to invest in the security market </p
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Business and Entrepreneurial Review Febria Nalurita 1
IMPACT OF EPS ON MARKET PRICES AND
MARKET RATIO
FEBRIA NALURITA
Postgraduate Program Trisakti University
Jl. Kyai Tapa No. 1, Grogol, Jakarta Barat 11440
email: febrianalurita@yahoo.com
ABSTRACT
In this paper the researchers have made an attempt to examine the impact of Earnings Per
Share on the MarketPrices, Price-Earning-Ratio and Price to Book Value. In the study, the
researchers have taken into consideration twenty-four companies which represent Property
and Real Estate industry. A reference period of seven years has been taken from 2009 to 2015.
In order to achieve the objectives of the study, regression data panel has been employed and
the findings put forth by the study affirmed that on the one hand there exists a positive
relationship between earnings per share and market price of shares and on the other hand
earnings per share does not statistically influence the market ratio. We suggest that investors
must consider other factors as well as EPS in order to invest in the security market.
Keywords : Earning per Share, Market Price, Price Earning Ratio and Price to Book Value
Business and Entrepreneurial Review Vol.15, No.2, April 2016
ISSN : 0853-9189 Page 111 - 130
112 Business and Entrepreneurial Review Vol.15, No.2, April 2016
INTRODUCTION
Investment in equity stocks is one of the most liquid investments. Basically the
company's main goal is to increase and maximize the profits of the company's owners. The
company's profits are reflected in the company's net income, while the profits of the
company's owners are reflected in profits for ordinary shareholders or often called
Earnings Per Share (EPS). EPS that shows how much the company's ability to provide
returns to the owner of the company. Therefore, EPS is attractive to shareholders because
it is an indicator that is often used to measure the success of a company in achieving profits
from every share invested.
Besides that, EPS in investing is used as the main indicator in seeing the
attractiveness of a stock. The amount of EPS is expected to be able to influence the level of
investor confidence in investing. Rahardjo (2005) said that in investing, ordinary stock
buyers generally pay more attention to their earnings per share because of this EPS, which
in turn affects the price of shares in the market to obtain capital gains. The greater the
profit available to shareholders, the greater the dividend payment to shareholders. That
way it canbe said that investor behavior towards shares is influenced by accounting
information which in this case is represented by EPS as a reflection of financial
performance.
Stock market prices are one of the most important factors that influence investors'
investment decisions (Hemadivya and Devi, 2013). Thus, analysts place much emphasis on
research on the stock market, especially stock price predictions.
Changes in stock prices occur because of market forces, namely the purchase and
sale of shares available on the market. Stock market prices depend on the demand and
supply of shares in the market, which in turn depends on the financial performance of a
particular company. In general, securities prices reflect company performance. Both
economic and non-economic factors always influence the behavior of stock prices.
Financial ratios are one of the analytical tools to assess financial performance in
measuring a company's success in generating profits. According to Taani and Banykhaled
(2011) financial ratios can help investors make investment decisions and can predict the
state of the company in the future and can provide an early warning about the decline in
Business and Entrepreneurial Review Febria Nalurita 113
the company's financial condition. And through financial ratios investors can supervise to
ensure the capital they invest develops well.
In analyzing and assessing financial position, company potential and fairness
assessment of a company's growth, the ratio that is most often used and gets investor
attention is the market valuation ratio. According to Warsono (2010: 38), "Market value
ratio is the ratio of market value that indicates what equity investors think about the
company's past performance and future prospects. Indicators of market valuation ratios
that are often used are price earnings ratio and price book value.
Price Earning Ratio (PER), which measures how investors assess the company's
growth prospects in the future, and is reflected in the stock price that investors are willing
to pay for every dollar the company profits. The higher PER indicates that investors have
good expectations about the company's development in the future, so for certain earnings
per share, investors are willing to pay a high price (I Made, 2011: 23).
Price to book value (PBV) describes how much the book value of a company's stock
is valued by the market. A high PBV shows that the more successful the company creates
value for shareholders. This statement is supported by the research of Shinta and Laksito
(2014) which states that with increasing company performance reflected in the high PBV,
the company is increasingly successful in creating value for shareholders and the amount
of profits available to shareholders will increase. Besides that, the high PBV makes the
market more confident about the company's prospects, so that investors will be interested
in investing their funds into the company. The research conducted by Shinta and Laksito
(2014), Taani and Banykhaled (2011) shows a significant positive effect between PBV and
EPS.
EPS is generally considered to be the most significant variable in determining stock
market prices. It also plays a very important role in measuring price to earnings ratio and
price to book value. Stock analysts throughout the financial world often use the variables
considered in this study. Companies publish their results, allowing investors to use them
and make rational investment decisions that will not only produce good results for them,
but also expose them to minimal risk.
The objects in this study are also different, namely in the real estate industry and
property companies listed on the Indonesia Stock Exchange. This is because the property
114 Business and Entrepreneurial Review Vol.15, No.2, April 2016
business in Indonesia continues to grow positively and the interest of the community to
engage in the business world is even higher.Previous research on financial performance
and EPS has been carried out. However, there are still several research gaps in previous
studies.
Therefore, through this research we will examine the effects of Earning Per Share on Stock
Market Prices and Market Ratios. The study was conducted at the Property and Real Estate
sector companies listed on the Indonesia Stock Exchange with a research period from 2009
to 2015.
Based on the description of the background above, the formulation of the problem
in the study is:
1) Is there an influence between earnings per share and stock market prices?
2) Is there an influence between earnings per share and price earnings ratio?
3) Is there an influence between earnings per share and price to book value?
LITERATURE REVIEW
Chisti et al. (2016) examine the impact of EPS on stock prices and PER. The sample
uses sixteen companies representing four different industries such as the banking industry,
pharmaceutical industry, information technology industry and cement industry. The period
was taken for eight years from 2003-2004 to 2010-2011. To achieve the objectives of the
study used regression analysis and correlation. The research findings confirm that on the
one hand there is a positive relationship between EPS and stock market prices on the other
hand EPS is not statistically affecting PER.
Talamati and Pangemanan (2015) examined the effect of Earnings per Share and
Return on Equity on Banking Stock Prices listed on the Indonesia Stock Exchange in 2010-
2014. The findings of this study simultaneously both EPS and ROE variables influence stock
prices. Partially, EPS has a positive and significant effect on Stock Prices while ROE partially
has no effect on Stock Prices.
Shehzad and Ismail (2014) examine between two accounting variables (i.e., EPS and
BVPS) and stock market prices. This study used pooled regression techniques in nineteen
Business and Entrepreneurial Review Febria Nalurita 115
private banks from the period 2008 to 2012. The findings showed a strong relationship
between the two. There is also a negative correlation between BVPS and Stock Prices.
As well as earning per share, the value is more relevant than the book value, while
accounting data explains the high proportion of stock prices.
Hunjra et al. (2014) examined the effect of dividend yield (DY), dividend payout
ratio (DPR), return on equity (ROE), earnings per share (EPS) and post-tax profit (EAT) on
stock prices in Pakistan. Using four non-financial sectors (sugar, chemical, food and
personal care, energy) and a sample of 63 companies listed on the Karachi stock exchange
analyzed for the 2006-2011 period. The results showed that DY and DPR had a significant
influence on stock prices. DY is negatively related to stock prices and the DPR is positively
related to stock prices, which means that the theory of dividends is irrelevant. For other
independent variables EAT, ROE and EPS have a significant positive impact on stock prices.
Shinta and Laksito (2014) examined the effect of financial performance consisting of
total asset turnover, current ratio, debt equity ratio, net profit margin, return on equity,
price book value, firm size and operating cash flow on earnings per share. Research
samples are Indonesian companies listed on the Indonesia Stock Exchange (IDX) in 2010-
2012.
Data were analyzed using multiple regression methods with the SPSS program. The results
of the analysis show that the amount of asset turnover, debt equity ratio, net profit margin,
return on equity, price book value and operating cash flow have a significant positive effect
on earnings per share, while firm size has a significant negative effect on earnings per
share.
Hemadivya and Devi (2013) conducted a study of the relationship between market
prices and EPS. The study was conducted in three sectors, namely the primary sector,
manufacturing, services in India and the research findings determined that there was a
statistically significant positive relationship between EPS and stock market prices.
Malhotra and Tandon (2013) examined the effects of book value, earnings per share,
dividends per share, yield dividends, dividend cover and price earnings ratio in this study
from the company's stock price registered at NSE 100. The research findings for the 2007-
2012 period revealed that BV, EPS and PER which have a significant positive relationship
116 Business and Entrepreneurial Review Vol.15, No.2, April 2016
with the company's stock price while the dividend yield is a significant inverse relationship
with the market price of the company's stock.
Seetharaman and Rudolph (2011) in their study concluded that the impact of
earnings per share is significant on volatility and shifts in stock price movements, thus,
asserting that there is a significant relationship between stock prices and earnings per
share.
Sharma (2011) conducted a study to examine the impact of book value per share, dividends
per share, earnings per share, PER, dividend yield and dividend payout and the results
revealed that there was a positive relationship between the variables considered in the
study.
Taani and Banykhaled (2011) examined the effect of accounting information on
earnings per share (EPS). Selected samples from 40 companies listed on the Amman
Market Exchange and using multiple regression methods and model stepwise regression.
Profitability, liquidity, debt to equity, market ratio, size derived from the company's total
assets, and cash flows from operating activities as independent variables, and EPS (Earning
Per Share) as the dependent variable. The results showed that profitability ratios (ROE),
market ratios (PBV), cash flows from operations / sales, and leverage ratios (DER) had a
significant effect on earnings per share.
Radim Gottwald (2002) made a study of the application of price-to-earnings ratios
for stock valuation and the findings stated emphasized that high-performance companies
with high PER showed an increase in profits.
Talinishi and Mittal PK (2001) made a cross sectional analysis taking into account
the PER of 105 companies and the findings confirmed that earnings per share positively
significantly affected stock market prices.
HYPOTHESIS DEVELOPMENT
Effect of Stock Market Prices on Earnings Per Share
EPS is useful for the shareholders, because the increase in EPS will certainly
increase the income that will be obtained. The increase in EPS will encourage an increase in
Business and Entrepreneurial Review Febria Nalurita 117
stock prices. Earning per share has a positive relationship with market prices, that is,
higher earnings per share, market prices will be higher (Ball and Brown 1968).
This figure shown from earnings per share is often published about the performance
of companies that sell their shares to the public (go public) because investors and
prospective investors are of the view that earnings per share contains important
information to make predictions about the amount of dividends per share and the level of
stock prices at a later time.
The research conducted by Chisti et al. (2016), Talamati and Pangemanan (2015),
Shehzad and Ismail (2014), Hunjra et al. (2014), Hemadivya and Devi (2013), Malhotra and
Tandon (2013), Seetharaman and Rudolph (2011), Sharma (2011) show a positive and
significant effect of earnings per share on stock market prices.
H1 : There is the influence of Stock Market Prices on Earnings Per Share.
Effect of Price Earning Ratio on Earnings Per Share
PER measures how investors value the company's growth prospects in the future,
and is reflected in the stock price that investors are willing to pay for every rupiah the
company profits. The higher this ratio shows that investors have good expectations about
the development of the company in the future, so for certain earnings per share, investors
are willing to pay a high price (I made, 2011: 23).
For investors this ratio number is used to predict the company's ability to generate
profits in the future. Companies that are expected to grow with high growth rates (which
means having good prospects), usually have a high PER. Conversely companies that are
expected to have low growth, will have a low PER as well (Hanafi, 2004: 43).
The research conducted by Chisti et al. (2016), Sharma (2011), Hemadivya and Devi
(2013), Malhotra and Tandon (2013), Radim Gottwald (2002), Talinishi and Mittal (2001)
show a positive and significant effect of earnings per share on price earnings ratio.
H2 : There is an effect of PER on Earning per share
Effect of Price to Book Value Against Earnings Per Share
Price Book Value (PBV) shows how much the book value of a company's stock is
valued by the market. A high PBV shows that the more successful the company creates
118 Business and Entrepreneurial Review Vol.15, No.2, April 2016
value for shareholders. This shows that management's performance is getting better in
improving the welfare of the owner. With this success, the market will increasingly believe
in the company's prospects, so companies can easily get funds for profit growth. This
statement is supported by the research of Shinta and Laksito (2014) which states that
companies that have a high PBV tend to have high earnings. That way the profits available
to shareholders will also increase.The research conducted by Shinta and Laksito (2014),
Taani and Banykhaled (2011) shows a positive and significant influence between EPS and
PBV.
H3 : There is an effect of PBV on Earning per share
Effect of Stock Market Prices, Price Earning Ratio and Price Book Value Against
Earnings Per Share
To measure whether the independent variables (free) together or simultaneously
have a significant effect on the dependent variable (bound) can be proposed the fourth
alternative hypothesis (H4) as follows:
H4: There is the influence of Stock Market Prices, Price Earning Ratio and Price Book
Value of Per Share Earnings
Picture 1 : Conceptual Framework
MP
PER
PBV
EPS
H1
H2
H3
Business and Entrepreneurial Review Febria Nalurita 119
Mathematical Model
To find out the impact of various variables on earnings per share, the form of the
equation used is:
   ββ β β 
Where β0 is the intercept of the equations,β, βand βare the coefficients of the
independent variable, that is, each stock market price (MP), price earnings ratio (PER) and
price to book value (PBV). is an error that has an award value of 0.
RESEARCH VARIABLES AND OPERATIONAL DEFINITIONS
This research was conducted to test the hypothesis of the variable consisting of the
dependent variable and the independent variable that has relevance. The independent
variable "independent variable" is the earning per share, while the independent variable
"independent variable" is the stock market price, price earnings ratio and price book ratio.
Earning Per Share
According to Darmadji and Fakhruddin (2012: 154), EPS describes the profitability
of the company that is reflected in each share. The higher the EPS value, of course,
encourages shareholders because the greater the profit provided to shareholders. The
increase in earnings per share generally shows the company's growth and results in high
market prices. Earning per share is obtained as follows:
EPS = 

Stock Market Prices
The stock market price is an independent variable. The way to calculate stock
market prices is the average price of the highest stock price and the lowest stock price that
has been considered the market price (Sharma, 2011). This is the current price at which
assets or services can be bought or sold.
Stock market prices (market prices) can be obtained by:
MP = 
120 Business and Entrepreneurial Review Vol.15, No.2, April 2016
PER (Price Earning Ratio)
Price Earning Ratio is an independent variable that expresses the relationship
between the market price of a company's stock and earnings per share. Investors will
calculate how many times the earnings value is reflected in the price of a stock. For
investors, the smaller the PER of a stock the better because the stock is included as cheap.
(Darmadji and Fakhruddin, 2012: 156)
PER = 

PBV (Price to Book Value)
PBV is a comparison of the market value of a stock against the value of its book.
PBV shows the level of success of the company in creating value for shareholders.
According to Darmadji and Fakhruddin (2012: 157), PBV is calculated by the
formula:
PBV = 

Table.1: Variables with Symbols and Expectations
Variable
Symbol
Expectation
Earning Per Share
EPS
+
Stock Market Prices
MP
+
Price Earning Ratio
PER
+
Price Book Value
PBV
+
Source: The results of the data processing itself
POPULATION AND SAMPLE
The population used in this study are companies in the sector of Property and Real
Estate listed on the Indonesia Stock Exchange. The researcher took a seven-year reference
period from 2009 to 2015. This study used a sampling method with certain considerations
called the purposive sampling method (Sugiyono, 2012).
Business and Entrepreneurial Review Febria Nalurita 121
Table 2: Sample Selection Procedure
No.
Remarks
Amount
1.
Companies incorporated in the Property and Real Estate sector are listed on
the IDX for the period 2009-2015
48
2.
Less companies that have not been listed on the IDX between 2009-2015
11
3.
It is deducted by companies that average earnings per share from every
three consecutive zero or negative years during the period
11
4.
Less companies that move sector
2
5.
Total companies sampled
24
6.
Total research data (24 x 7 years)
168
Source: The results of the data processing itself
Based on the sampling criteria above, the companies in the Property and Real Estate
sector that can be sampled in this study are 24 companies.
TYPES AND DATA SOURCES
This study uses secondary data and data sources derived from the company's
annual report issued by the Indonesia Stock Exchange in 2009-2015.
The types of data needed:
a. Financial reports obtained from Indonesia Stock ExchangeStatistics (IDX Statistics
Yearly), and Indonesian Capital Market Directory 2009-2015, as well as from the
official website of the Indonesia Stock Exchange (http://www.idx.co.id).
b. Annual stock prices from 2009-2015, especially Table Trading and Financial Ratios
since the period 2009-2015. The Trading Table is used to get the highest and lowest
price data for every year 2009 until 2015; and the Financial Ratios is used to obtain
financial ratio data which includes EPS, PER and PBV obtained on an annual basis.
DATA PROCESSING AND ANALYSIS METHODS
The analysis technique used in this study is quantitative data analysis, to quantitatively estimate
the influence of several independent variables on the dependent variable. After selecting a sample,
making a model, determining the variables used in the study and making a test hypothesis, the next step is
122 Business and Entrepreneurial Review Vol.15, No.2, April 2016
to process the data using panel data regression analysis methods to test the hypothesis. Data processing
techniques are carried out using computer eviews programs.
RESULTS AND DISCUSSION
Table 3: Descriptive statistics
EPS?
MP?
PER?
PBV?
Mean
191.1863
6.350831
25.67607
1.742917
Median
37.50000
6.195934
14.30000
1.360000
Maximum
12128.00
9.615805
395.4400
6.710000
Minimum
0.250000
3.960813
0.610000
0.130000
Std. Dev.
951.8857
1.181767
50.12390
1.328785
Skewness
11.87272
0.507288
5.611178
1.540993
Kurtosis
148.9999
2.843619
37.02395
5.161973
Jarque-Bera
153158.7
7.376731
8984.992
99.20931
Probability
0.000000
0.025013
0.000000
0.000000
Sum
32119.30
1066.940
4313.580
292.8100
Sum Sq. Dev.
1.51E+08
233.2278
419571.7
294.8669
Observations
168
168
168
168
Cross sections
24
24
24
24
Source: Eviews 9 Processing Results
Table 3 explains the details of the descriptive statistics used in this study. Earning per
share variable has an average value of 191,1863 and a standard deviation of 951,8857. The
maximum value of earnings per share variable is 12128.00 with a minimum value of
0.250000 The variable market price has an average value of 6.350831 and a standard
deviation of 1.181767. The maximum value of the market price variable is 9,615805 with a
minimum value of 3,960813. Variable price earnings ratio has an average value of
25,67607 and a standard deviation of 50,12390. The maximum value of the price earning
ratio variable is 395,440 with a minimum value of 0.610000. Variable price book ratio has
an average value of 1.742917 and a standard deviation of 1.328785. The maximum value of
the variable price book ratio is 6.710000 with a minimum value of 0.130000.
In determining which method is most appropriate to use in this study, it will first be
estimated with three panel data models namely Common Effect, Fixed Effect and Random
Effect for each simple regression equation in this study. After that, a paired test will be
Business and Entrepreneurial Review Febria Nalurita 123
conducted with Chow Test, Hausman Test and LM Test to determine the most suitable
estimation model of the three types of models above.
Table 4: Chow Test
Effects Test
Statistic
d.f.
Prob.
Cross-section F
1.525464
(23,141)
0.0713
Cross-section Chi-square
37.331400
23
0.0300
Source: Processing Results Eviews 9
The Chow Test Hypothesis is:
H0 : Common Effect Model
Ha : Fixed Effect Model
Output shows that the probability value of the Chi-Square cross-section is 0.0713
greater than 0.05 so the null hypothesis cannot be rejected. This means that the common
effect model is better than the fixed effect model.
Table 5: Hausman Test
Test Summary
Chi-Sq. Statistic
Chi-Sq. d.f.
Prob.
Cross-section random
3.450237
3
0.3273
Source: Eviews 9 Processing Results
The Hausman Test Hypothesis is:
H0 : Random Effect Model
Ha : Fixed Effect Model
Output shows that the probability value of a random cross-section of 0.3273 is
greater than 0.05, so the null hypothesis cannot be rejected. This means that the random
effect model is better than the fixed effect model.
124 Business and Entrepreneurial Review Vol.15, No.2, April 2016
Table 6: LM Test
F-statistic
0.399840
Prob. F(2,162)
0.6711
Obs*R-squared
0.825224
Prob. Chi-Square(2)
0.6619
Source: Eviews 9 Processing Results
The hypothesis of the Lagrange Multiplier (LM) test is:
H0: Common Effect Model
Ha: Random Effect Model
Based on LM test output from eviews, the p-value of 0.6711 is greater than 0.05, so
the null hypothesis cannot be rejected. This means that the common effect model is better
than the random effect model.
After conducting the pairing test using the Chow Test, Hausman Test, and Multiple
Multiple Langrange Test the common effect model is the best model for this study. Panel
data regression analysis is an analysis used to determine the effect of independent
variables on the dependent variable. The regression results can be seen in the table below.
Table 7: Results of the Common Effect Regression Equation
Dependent Variable: EPS?
Method: Pooled Least Squares
Date: 03/21/17 Time: 01:38
Sample: 2009 2015
Included observations: 7
Cross-sections included: 24
Total pool (balanced) observations: 168
Variable
Coefficient
Std. Error
t-Statistic
Prob.
C
-1414.761
394.4434
-3.586726
0.0004
MP?
264.0122
64.95776
4.064368
0.0001
PER?
-0.980642
1.454817
-0.674066
0.5012
PBV?
-26.14656
59.22707
-0.441463
0.6595
R-squared
0.104714
Mean dependent var
191.1863
Adjusted R-squared
0.088337
S.D. dependent var
951.8857
S.E. of regression
908.8704
Akaike info criterion
16.48580
Sum squared resid
1.35E+08
Schwarz criterion
16.56018
Log likelihood
-1380.807
Hannan-Quinn criter.
16.51599
F-statistic
6.393918
Durbin-Watson stat
2.119523
Prob(F-statistic)
0.000401
Source: Eviews 9 Processing Results
Business and Entrepreneurial Review Febria Nalurita 125
From the estimation results using the Common Effect model a panel data regression
equation can be formed as follows:
Yit = β0 + β1X1 + β2X2 + β3X3 + εit
EPS= 1414,761 + 264,0122MP 0,980642PER 26,14656PBV + εit
The meaning of the above equation is as follows:
β0= -1414,761 means that if all the independent variables (MP, PER and PBV) are equal to
zero, then the EPS variable will be (-)1414,761.
β1= 264.0122 means that if the MP variable increases by one unit, then the EPS variable
will increase by 264.0122 units, assuming the PER variable and PBV are fixed or
constant.
β2= -0.980642 means that if the PER variable rises by one unit, then the EPS variable will
decrease by (-)0.980642 units, assuming the variable MP and PBB are fixed or constant.
β3= -26,14656 means that if the PBV variable rises by one unit, then the EPS variable will
decrease by (-)26,14656 units, assuming MP and PER are fixed or constant.
Coefficient of determination analysis (adjusted R2)
Based on the common effect regression model above, the coefficient of
determination (adjustedR2) is 0.088337. This shows that the dependent variable (earning
per share) that can be explained by variations in the independent variable (market price,
price earnings ratio and price book ratio) is 0.088337 or 8.8337% and the rest (0.911663
or 91.17%) is explained by variations in other variables which is not included in the
regression model.
Test Results t
The t test is used to test the effect of independent variables (MP, PER and PBV) on
the dependent variable (EPS) partially (individual) with alpha 5%. Decision criteria:
1. If the p-value≤ α then H0 is rejected which means that the independent variable has
a significant effect on the dependent variable
2. If the p-value≤ α then H0 cannot be rejected which means that the independent
variable has no effect on the dependent variable.
126 Business and Entrepreneurial Review Vol.15, No.2, April 2016
H1: There is a significant effect of market price on earnings per share
Based on table 7, the results of hypothesis testing indicate that the probability value of the
market price is 0.0001 which is smaller than the alpha value of 0.05, then H01 is rejected. So, it can
be concluded that the market price has a significant effect on earnings per share for companies in
the sector of Property and Real Estate for the period 2009-2015. There is a positive relationship
between market price and earnings per share which is indicated by a regression coefficient of
264.0122
This is in line with the research of Chisti et al. (2016), Talamati and Pangemanan (2015),
Shehzad and Ismail (2014), Hunjra et al. (2014), Hemadivya and Devi (2013), Malhotra and Tandon
(2013), Seetharaman and Rudolph (2011), Sharma (2011) which states that the variable Earning Per Share
(EPS) is positive and has a significant effect on stock prices. Companies with higher EPS values will
attract investors because EPS indicates that even though share prices increase but will also generate
multiple profits for investors, so the higher EPS of a company means the higher the price of the shares
and this will benefit the company.
H2: There is a significant effect of price earnings ratio on earnings per share
Based on table 7, the results of hypothesis testing indicate that the probability value
of the price earnings ratio is 0.5012 which is greater than the alpha value of 0.05, then H01
is accepted. So, it can be concluded that the price earnings ratio does not significantly
influence earnings per company in the sectors of Property and Real Estate for the period
2009-2015. There is a negative relationship between price earnings ratio and earnings per
share as indicated by the regression coefficient of -0.980642.
The results of this study support the research conducted by Chisti et al. (2016),
which states that price earnings ratio does not have a significant effect on earnings per
share. The results of the study reject the general proposition of the average stock earnings
ratio that is low on giving a profit greater than the higher PER share. The findings indicate
that the average annual portfolio returns formed on the basis of PER do not differ
significantly from each other, therefore, PER is not an appropriate basis for investment
decisions.
Business and Entrepreneurial Review Febria Nalurita 127
H3: There is a significant effect of price to book valuation on earnings per share
Based on table 7, the results of hypothesis testing indicate that the probability value
of price to book values is 0.6595 which is greater than the alpha value of 0.05, then H01 is
accepted. So, it can be concluded that the price to book value has no significant effect on
earnings per share for companies in the sector of Property and Real Estate for the period
2009-2015. There is a negative relationship between price to book value and earnings per
share which is indicated by a regression coefficient of -26.14656.
This is not in line with the research conducted by Shinta and Laksito (2014), Taani
and Banykhaled (2011) which show that the Price to Book Value (PBV) variable is positive
and has a significant effect on earnings per share. According to Tryfino (2009: 9) Price to
Book Value (PBV) is a calculation or comparison between market value and book value of a
stock. This ratio serves to complete the book value analysis. If in book value analysis,
investors only know the capacity per share of the stock value, in the PBV ratio investors can
find out directly how many times the market value of a stock is valued from its book value.
In addition, Tryfino (2009: 11) states that indeed there is no definite measure of the price
or not of a stock price if measured by its PBV ratio because this is highly dependent on the
expectations and performance of the company or stock.
Test Results F
H4: There is a significant influence between the market price, price earnings ratio and
price to book values together towards earnings per share
H04 : β1 = β2 = β3 = 0; there is no significant effect of market price, price earnings ratio and
price to book ratio together on earnings per share.
Ha4: β1 β2 ≠ β3 0; there is a significant influence between market price, price earnings
ratio and price to book values together with earnings per share.
From the results of calculations with eview in table 7 the regression results of the
common effect model above, the probability value (F-statistic) is 0.000401 which is less
than the alpha value of 0.05, so H04 is rejected and Ha4 is accepted. Thus, it can be
concluded that there is a significant influence between market price, price earnings ratio
and price to book values together towards earnings per share.
128 Business and Entrepreneurial Review Vol.15, No.2, April 2016
This study shows that there is a significant impact of EPS announcements on stock
prices, so that it has a considerable impact on PER and PBV. The reason is because
investors prefer to invest in stocks that have a stable EPS growth and thus lead to an
increase in demand for stocks that have consistent growth. This increases the demand for
shares on the stock and increases the price of its shares on the stock exchange. Changes in
EPS and market prices have a significant impact on PER and PBV where the value depends
on EPS values and market price.
CONCLUSION
Based on the findings proposed by this study, it can be concluded that earnings per
share affects stock prices significantly because there is a positive relationship between
earnings per share and stock prices but on the other hand the findings confirm that
earnings per share does not affect the market ratio as the relationship between two
variables
statistically quite low. Thus, based on these findings, it can be concluded that earnings per
share affects one variable, namely stock market prices but does not affect price earnings
ratio and price to book value.
This study also shows that earnings per share movement is influenced by many
factors other than the company's financial performance. Of all the models used in this
study, was only 8.83%. This shows that there is information other than internal
fundamental factors that also affect EPS. In certain periods, changes in stock returns do not
reflect the company's financial performance. Macroeconomic conditions, political
situations, government industrial policies, and technical aspects in the company are factors
other than financial performance that can affect changes in stock returns.
Given the limited number of companies and the observation period, it is
recommended to increase the sample in the number of companies and the observation
period for further research. Furthermore, other macro-level variables that can affect
earnings per share such as interest rates, economic growth (GDP), and inflation can be used
to expand further research.
Business and Entrepreneurial Review Febria Nalurita 129
This study also has limitations, this study only focuses on quantitative characters in
assessing the performance of companies in improving the welfare of their owners. On the
basis of these limitations, further research is suggested to add characteristic variables of
corporate governance as qualitative criteria. This is because investors see corporate
governance as a qualitative criterion in investing.
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Impact Of Eps On Stock Prices And P/E Ratio
  • A C Chisti
  • K Ali
  • I A Malik
Chisti, A. C., Ali, K., Malik, I. A., (2016). Impact Of Eps On Stock Prices And P/E Ratio. International Journal for Business & Management. Vol. 2 Issue 5. 34-42
A Study on Relationship Between Market Price and Earnings Per Share with Reference to Selected Companies
  • T Darmaji
  • H M Dan Fakhruddin
Darmaji, T. Dan Fakhruddin, H. M., (2012). Pasar Modal Di Indonesia. Jakarta : Salemba Empat Hemadeyya, K. dan Devi V. R. (2013). A Study on Relationship Between Market Price and Earnings Per Share with Reference to Selected Companies. International Journal of Marketing, Financial Services and Management Research. Vol.2, No.9.
Manajemen Keuangan Perusahaan Teori dan Praktek
  • I Made
  • Sudana
I Made, Sudana. (2011). Manajemen Keuangan Perusahaan Teori dan Praktek. Jakarta : Erlangga.
Determinants of Stock Prices: Empirical Evidence from NSE 100 Companies
  • N Malhotra
  • K Dan Tandon
Malhotra,N., dan Tandon, K. (2013). Determinants of Stock Prices: Empirical Evidence from NSE 100 Companies. International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563, Vol. 3, No.3, 86-95.
The Use of P/E Ratio to Stock Valuation
  • Radim Gottwald
Radim Gottwald, (2002). The Use of P/E Ratio to Stock Valuation. Journal of Interdisciplinary Research. Vol.2, No.2, pp.48-58.