Black-Scholes model was developed by Fischer Black and Myron
Scholes in 1973. It is a mathematical
model of a financial market containing derivative investment instruments (Read more here). It is widely used, often with adjustments, to
determine the price of options.
There are many types of derivative options in the
market. One of the most popular
derivative options in Bursa Malaysia are the Structured Warrants (Read
more here). Today, I am going to
discuss the usage of Black-Scholes model in Structured Warrants evaluation.
To construct a simple Black-Scholes model using excel, one
can refer to this link. I did some modification on the model in order
to fit the characteristics of the structured warrants available in Bursa
Malaysia.
The following table (Table 1) is the structured warrants
price of the HSI-H53 as at 26-Jul-16. To
check the accuracy of the model, it is compared with the offer price by the
issuer (Table 2). This model was tested
on other structured warrants as well; the accuracy is always within the spread
of the structured warrants.
Table 1
Future Index
|
Black-Scholes Model
HSI-H53 price
|
22120
|
0.429
|
22110
|
0.431
|
22100
|
0.432
|
21880
|
0.433
|
Table 2
The following snapshot (Picture 1), is the Black-Scholes
model in excel format. (Readers who are interested to construct the
Black-Scholes model using Excel spreadsheet can contact me via email. Private tutorial or class can be arranged.)
Picture 1
There are few variables that affect the structured warrant
price. The most significant factor is
the underlying stock price. In this
example, it is the Hang Seng Future Index.
The following table (Table 3) shows the impact of Hang Seng Future Index
changes to the HSI-H53 price. Every 1%
changes of the Hang Seng Index with cause the HSI-H53 price to fluctuate about
6%.
Table 3
Future Index
|
Put Option Price
|
Percentage changes of
Index
|
Percentage changes of Put
Option Price
|
23205
|
0.313862973
|
5.00%
|
-27.31%
|
22984
|
0.334834542
|
4.00%
|
-22.46%
|
22763
|
0.357055027
|
3.00%
|
-17.31%
|
22542
|
0.380583676
|
2.00%
|
-11.86%
|
22321
|
0.40548107
|
1.00%
|
-6.10%
|
22100
|
0.431809
|
0%
|
0%
|
21879
|
0.459630311
|
-1.00%
|
6.44%
|
21658
|
0.489008773
|
-2.00%
|
13.25%
|
21437
|
0.520008864
|
-3.00%
|
20.43%
|
21216
|
0.552695579
|
-4.00%
|
28.00%
|
20995
|
0.587134208
|
-5.00%
|
35.97%
|
The second significant factor that will impact the option
price is the holding period. In option
trading, “buy and hold” strategy is “No”, “No”, “No”. Because it is very important, so have to say
it three times. The following table
(Table 4) shows the holding period impact of the put option.
Table 4
Hang Seng Future Index
|
Holding Duration
|
Warrant Price
|
%
|
22100
|
0
|
0.431
|
0
|
22100
|
3
|
0.422
|
-2.09%
|
22100
|
5
|
0.416
|
-3.48%
|
22100
|
10
|
0.399
|
-7.42%
|
22100
|
14
|
0.386
|
-10.44%
|
From the table we can see that, even the underlying Hang
Seng Future Index stays constant, by holding the put option for 3 days, the
option price will automatically reduce by 2.09%. As such, in side way market, where the Index
stay about the same level for long period of time, eventually the option price
will diminish to zero value.
There is another important variable in Black-Scholes model,
which is the implied volatility. This is
the most difficult variable to determine.
There are many ways to estimate but for now, the easiest way is to use
the implied volatility rate provided by the structured warrants issuer.
In summary, traders who are interested in structured warrants trading can use the Black-Scholes model to evaluate the risk and
return. The key principle is – Do not
apply “buy and hold” strategy on option trading. Unless the option is deep in the money and
the trader is ready to exercise the option on maturity. That will be discussed in another article.
Disclaimer: The above option
price calculations do not imply any buy or sell recommendation. The author disclaims all liabilities arising
from any use of the information contained in this article.
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