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2009-12-21

2009 3rd quarter

2008

2007

2006

2005

volatility

10%

10%

10%

10%

10%

asset value

1587382922

1309425442

914980346

689344155

573522671

lia. value

1522261211

1267723643

886682478

664638027

557553208

Rf

3.10%

3.10%

3.10%

3.10%

3.10%

time to exercise

0.273972603

0.273972603

0.273972603

0.273972603

0.273972603

d1

0.988736708

0.806775806

0.788627571

0.885727326

0.727948029

d2

0.936394316

0.754433414

0.736285179

0.833384933

0.675605637

N(d1)

0.836520968

0.78811965

0.78232502

0.810615464

0.764224639

N(d2)

0.823816625

0.7747299

0.767319484

0.796709478

0.748617377

equity value

84420858.11

58146678.95

41197280.74

33747894.38

24436114.54

shares

5661347506

5661347506

4354883

4354883

3915000

price

14.91179583

10.2708196

9.460020107

7.749437672

6.241663994

actual price

19.8

13.25

52.8

21.31

9.75

Lia.: liability. Rf: risk free rate.
BLACK-SCHOLES OPTION PRICING MODEL.
It assumes that the average debt period of is 100 days, the asset value and liability value equals fair value, risk free rate at 3.1%, volatility is 10%. Black-Scholes model indicates that SPDBank’s price growth from 6.24(2005) to 14.9(2009.9.30),growth by 39.2% per year. Acutally, EPS growth by 33.3% per year from 2005 to 2009. Cash flow from operating per share growth by 78% per share. Comparing with EPS and cash flow, Black-Scholes model is relatively conservative. This can be probably explained that its European style has under valued the company. If the share price in 2005 is reasonable, the share price in 2009.9.31 should be at 23.3, the share price at 2009/12/19 is 20.73, compared with 19.8 in 2009/9/30, a growth by 4.7%. The market is moving to the direction pointed out by Black-Scholes model. If Black-Scholes model is effective and accurate in value banks like SPDBank, the share price of SPDBank should continuely move to 23.3, a growth by 2.57, 12.4%.

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2009-12-21 17:39:44
5%        15%
1587382922        1587382922
1522261211        1522261211
3.10%        3.10%
0.273972603        0.273972603
1.938216622        0.680967135
1.912045426        0.602453547
0.97320493        0.751703095
0.971901432        0.725708342
77873338.5        97865798.01
5661347506        5661347506
13.75526558        17.28666151
        19.8
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2009-12-21 17:40:44
Sensitivity analysis clarifies the relation between the factors in the model and the outcome quantitatively. For example, when volatility in 2009 increase to 15%, the value is 17.3, when 10% volatility,14.5, an increase in volatility by 50% resulting an increase in value by 19.3%. reducing Rf to 2%, a reduction by 35.5%, value 14.25, decrease by 4.4%. so it’s more sensitive when volatility changes than Rf changes.
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2009-12-22 15:52:09
不错,相当客观
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2009-12-22 16:49:36
那家证券公司的,居然用英文
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2009-12-23 20:18:22
5# wanhua
不是哪家公司,是自己写的,呵,貌似没那么权威,数据也不太真实(risk free rate,volitil)
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