The
Investment and shares has been established according to modelling with economic
equations that has a certain role in stock market. So Cobb-Douglas function is
used to complete the modelling. The detail establishment and modeling is as
related literature.
The
Cobb-Douglas function is
(1)
Here Production
quantity Q; ? is technique coefficient; ? is producing labor; ? is capital
elasticity. K is capital; L is labour; AFC is average fixed cost; AVC is
average variable cost; AR is the average revenue; TR is total revenue. The
calculated constant is ?=106086; ?=1.25; ?=-0.2 respectively. The parameter Pl
is labor price and Pk is capital price. They are from 20,000 to 30,000 and from
30,000 to 80,000 Yuan respectively. Turnover is in terms of 5Yuan per share and
Q is piece of shares. Table 1 shows the parameter of constant value with labor
and capital & quantity. It is chosen that 10groups value to acquire average
ones. The detail narration is expressed as below. TP is the total product and
AP is the average product. MPK is capital marginal product and MPL is labor
marginal product in this study (Table 1) (Figure 1).

(a) K=29;
Pl&Pk=10,000&10,000.

(a) K=14;
Pl&Pk=20,000&20,000.

(a) K=9;
Pl&Pk=10,000&30,000

(a) L=5;
Pl&Pk=10,000&10,000

(a) L=2;
Pl&Pk=20,000&20,000

(a) L=0.6;
Pl&Pk=10,000&30,000
Figure 1:
The relationship between cost and number of shares according to different
conditions.

(a) K;
TC=100,000

(a) K;
TC=250,000
Figure 2:
The relationship between maximum &marginal production and number of capital
and labor.

(a) Pk=800~2800
Yuan

(a) Pk=750~1500
Yuan

(a) Pk=10,000~30,000
Yuan
Figure 3:
The minimum cost with labor quantity and 100,000 pieces under different Pk.
Table
1: The conditions of original parameters and
coefficient.
|
Parameters
No.
|
l
|
K
|
Q
|
?
|
?
|
?
|
|
1
|
0.1
|
0.1
|
10?000
|
-
|
-
|
-
|
|
2
|
0.2
|
0.2
|
20?000
|
-
|
-
|
-
|
|
3
|
0.3
|
0.3
|
30?000
|
1.69
|
-0.41
|
141391
|
|
4
|
0.4
|
0.4
|
40?000
|
1.41
|
-0.29
|
111396
|
|
5
|
0.5
|
0.5
|
50?000
|
1.29
|
-0.22
|
104575
|
|
6
|
0.6
|
0.6
|
60?000
|
1.22
|
-0.18
|
102107
|
|
7
|
0.7
|
0.7
|
70?000
|
1.18
|
-0.15
|
101010
|
|
8
|
0.8
|
0.8
|
80?000
|
1.15
|
-0.13
|
100461
|
|
9
|
0.9
|
0.9
|
90?000
|
1.13
|
-0.12
|
100166
|
|
10
|
1
|
1
|
100?000
|
1.12
|
-0.11
|
100000
|
|
11
|
1.1
|
1.1
|
110,000
|
1.11
|
-0.10
|
99904
|
|
12
|
1.2
|
1.2
|
120,000
|
1.10
|
-0.09
|
99849
|
|
Average
|
-
|
-
|
-
|
1.24
|
-0.18
|
106086
|