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CHAPTER 4
Data Analysis
4.0 Introduction
This chapter presents the results and interpretation of the study. The first
section of the chapter performed the description analysis for
the stock returns in China
and the macroeconomic variables that found to be potentially affecting the stock
returns. In this section, the mean, median, maximum, minimum, standard deviation
and observations of each variable will be analyzed. The
second section is the
empirical result which includes the correlation analysis and generalized least squares
(GLS) regression.
4.1 Descriptive Analysis
This section of the chapter shows the descriptive analysis
for the stock return
of banking industry sector, Shanghai stock exchange market and Shenzhen stock
exchange market in China, and the macroeconomic variables that found to be
potentially affecting the stock return. In this section, the mean, median, maximum,
minimum, standard deviation and observations of each variable will be analyzed. And
the result is reported in Table 1.
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Table 1 Descriptive Information of Macroeconomic factors impacting stock returns in
period 9/2007-6/2012
Mean
Median
Maximum
Minimum
Std. Dev.
Observations
R(%)
-0.701
1.001
25.203
-32.658
10.403
58
MRSH(%)
-1.470
0.343
14.234
-28.278
9.696
58
MRSZ(%)
-1.090
0.724
16.713
-25.816
10.533
58
INF(%)
-0.068
-0.095
1.494
-2.574
0.723
58
EX
100.103 100.120
109.400
88.670
5.375
58
MS(%)
1.520
1.340
4.720
-1.010
1.214
58
INT(%)
2.300
2.290
4.560
0.830
0.994
58
Note: R, MRSH, MRSZ, INF, EX, MS, and INT stand for banking
industry sector stock return,
Shanghai stock exchange market return, Shenzhen stock exchange market return, inflation rate,
exchange rate, money supply and interest rate.
Table 1 reports consolidated descriptive statistics of the macroeconomic
variables that cause a fluctuation in stock returns which include banking industry
sector stock return, Shanghai stock exchange market return, Shenzhen stock exchange
market return.
From the table, we can see that during the period from September 2007
to June 2012, the average of banking industry sector stock return is -0.7%, it means in
this period the whole banking industry’s performance is not quite good, this result is
the same with Yong and Christos (2012). And the maximum is 25.2% and the
minimum is -32.7%. It also shows that the performance of banking industry is poor.
According to the table, the average of MRSH and MRSZ also negative, they are -1.5%
and -1.1%. It can reflect the
whole stock market in China, the returns from both two
stock market is negative, the performance of the Chinese stock market still week. The
maximum return always less than the minimum return in both two markets. And the
result also show that the mean of the MRSH is negative, at the same time, the mean of
MRSZ and
the mean of R also negative; and the median of MRSH positive, at the
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same time, the MRSZ and the R also positive, and the maximum or the minimum also
get the same trend. The average of the inflation rate in this period shows negative
result, it is about -0.07%, and the median is -0.095%, the maximum is 1.494% and the
minimum is -2.574%, the result
indicate that during this time, Chinese inflation rate is
not high and stable. The average of the exchange rate in this period it is about 100.103
and the median is 100.120, the maximum is 109.400 and the minimum is 88.670. The
average monthly growth rate of money supply (MS) is 1.520%, the maximum growth
rate is 1.340% and the minimum growth rate is -1.010%, it means in some month,
money supply is decease. From the result of interest rate, the average interest rate is
2.300%, and the maximum is 4.560% and the minimum is 0.830%, it shows that the
unstable interest rate change during this period.