Part-B
Answer to question -1
Daily treasure yield curve rates on 12/04/2017 using Daily Treasury Yield Curve Rates
Daily Treasure Yield Curve Rates On 12/04/2017 | |
Date | interest |
1 Mo | 1.16 |
3 Mo | 1.29 |
6 Mo | 1.45 |
1 Yr | 1.66 |
2 Yr | 1.80 |
3 Yr | 1.93 |
5 Yr | 2.15 |
7 Yr | 2.29 |
10 Yr | 2.37 |
20 Yr | 2.58 |
30 Yr | 2.77 |
Part-B
Answer to question -1
Daily treasure yield curve rates on 12/04/2017 using Daily Treasury Yield Curve Rates
Daily Treasure Yield Curve Rates On 12/04/2017 | |
Date | interest |
1 Mo | 1.16 |
3 Mo | 1.29 |
6 Mo | 1.45 |
1 Yr | 1.66 |
2 Yr | 1.80 |
3 Yr | 1.93 |
5 Yr | 2.15 |
7 Yr | 2.29 |
10 Yr | 2.37 |
20 Yr | 2.58 |
30 Yr | 2.77 |
Part4: Black-Scholes and Binomial Option Pricing
Where:
- T : Time to maturity
- S0: Asset price X : Exercise price
- r: Continuously compounded risk free rate
- σ : Volatility of continuously compounded return on the stock
- N(∗) : Cumulative Normal Probability
Black-Scholes Option Pricing Model with Dividends | |
Current Stock Price | $ 200.00 |
Exercise Price | $ 195.00 |
Risk-Free Interest Rate | 4.00% |
Expected Life of Option | 5 |
Volatility | 20.0% |
Dividend Yield | 0% |
Call Option Value | $ 55.86 |
In the given Black Scholes, there is following options have been taken into consideration.
, which is given by • call option : c = S0N(d1) − Xe−rT N(d2) • put option : p = Xe−rT N(−d2) − S −rT 0 N(−d1) d1 = ln(S0/X) + (r + σ 2/2)T σ √ T d2 = ln(S0/X) + (r − σ 2/2)T σ √ T That is, d2 = d1 − σ √ T
Binomial tree model
Binomial Tree Model | ||||||||||||||
Tree model | ||||||||||||||
Stocks | Currency | Futures | ||||||||||||
S | 100 | 100 | S | 0.75 | 0.7501 | F | 525 | 525.0001 | ||||||
K | 200 | 200 | X | 0.75 | 0.75 | X | 525 | 525 | ||||||
r | 0.07 | 0.07 | r(domestic) | 0.07 | 0.07 | r | 0.06 | 0.06 | ||||||
T | 0.5 | 0.5 | T | 0.75 | 0.75 | T | 0.416667 | 0.416667 | ||||||
sigma | 0.3 | 0.3 | sigma | 0.04 | 0.04 | sigma | 0.151739 | 0.151739 | ||||||
delta | 0.00001 | r(f) (foreign) | 0.09 | 0.09 | delta | 0.0001 | ||||||||
dividend rate q | 0 | delta | 0.0001 | |||||||||||
d(1) | -2.99647 | -2.99647 | d(1) | -0.41569 | -0.41184 | d(1) | 0.048974 | 0.048975 | ||||||
d(2) | -3.2086 | -3.2086 | d(2) | -0.45033 | -0.44648 | d(2) | -0.04897 | -0.04897 | ||||||
N(d1) | 0.001366 | 0.001366 | N(d1) | 0.338818 | 0.340227 | N(d1) | 0.51953 | 0.519531 | ||||||
N(d2) | 0.000667 | 0.000667 | N(d2) | 0.326235 | 0.327624 | N(d2) | 0.48047 | 0.480471 | ||||||
C | 0.007768 | 0.007768 | C | 0.005364 | 0.005396 | C | 20 | 20.00005 | ||||||
P | 93.12885 | 93.12884 | P | 0.015959 | 0.015898 | P | 20 | 19.99995 | ||||||
Call | Put | Call | Put | Call | Put | |||||||||
DELTA = | 0.001366 | -0.99863 | 0.317361 | -0.61737 | 0.506703 | -0.46861 |
Monte Carlo
Percentage Made | 90% |
Percentage of First Ten Made | 90% |
Attempt | Result |
1 | 1 |
2 | 1 |
3 | 1 |
4 | 1 |
5 | 1 |
6 | 1 |
7 | 0 |
8 | 1 |
9 | 1 |
10 | 1 |
11 | 1 |
12 | 1 |
13 | 1 |
14 | 1 |
15 | 1 |
16 | 1 |
17 | 0 |
18 | 1 |
19 | 1 |
20 | 1 |
21 | 1 |
22 | 1 |
23 | 1 |
24 | 1 |
25 | 1 |
26 | 1 |
27 | 1 |
28 | 1 |
29 | 1 |
30 | 1 |
31 | 1 |
32 | 1 |
33 | 1 |
34 | 0 |
35 | 0 |
36 | 1 |
37 | 1 |
38 | 0 |
39 | 1 |
40 | 1 |
41 | 1 |
42 | 1 |
43 | 1 |
44 | 1 |
45 | 1 |
46 | 1 |
47 | 1 |
48 | 1 |
49 | 1 |
50 | 1 |
51 | 1 |
52 | 1 |
53 | 1 |
54 | 1 |
55 | 1 |
56 | 1 |
57 | 1 |
58 | 1 |
59 | 1 |
60 | 1 |
61 | 1 |
62 | 1 |
63 | 1 |
64 | 1 |
65 | 0 |
66 | 1 |
67 | 1 |
68 | 1 |
69 | 1 |
70 | 1 |
71 | 1 |
72 | 1 |
73 | 1 |
74 | 1 |
75 | 1 |
76 | 1 |
77 | 1 |
78 | 0 |
79 | 1 |
80 | 1 |
81 | 0 |
82 | 1 |
83 | 0 |
84 | 1 |
85 | 1 |
86 | 1 |
87 | 1 |
88 | 1 |
89 | 1 |
90 | 1 |
91 | 1 |
92 | 1 |
93 | 1 |
94 | 1 |
95 | 1 |
96 | 1 |
97 | 1 |
98 | 1 |
99 | 0 |
100 | 1 |
Compute the Greeks that include delta, gamma, Vega, rho, and theta for the put option
K > ST : the given exercise would be assessed
Delta: ∆ = ∂V ∂S = −N(−d1
- . (ii) K < ST : the holder makes a profit of ST − K by exercising the option.
- Thus the price or value of the option at maturity is CT = (ST − K) + = max(ST − K, 0).
Ct − Pt = St − Ke−r(T −t) . the undertaken holder values would be assessed through the process.
Ct − Pt > St − Ke−r(T −t)
(Codagnone, Abadie, & Biagi,2016).
Where: V : Value of a put option, which is the same as p
N0 (d1) = e − d 2 1 2 · √ 1 2π
Using a four-step binomial model (∆t = 0.5).
Binomial model | |
Current Stock Price | $ 200.00 |
Exercise Price | $ 195.00 |
Risk-Free Interest Rate | 4.00% |
Expected Life of Option | 5 |
Volatility | 20.0% |
Dividend Yield | 0% |
Call Option Value | $ 54.38 |
American put option price
Binomial model | |
Current Stock Price | $ 200.00 |
Exercise Price | $ 198.00 |
Risk-Free Interest Rate | 4.00% |
Expected Life of Option | 5 |
Volatility | 20.0% |
Dividend Yield | 0% |
Call Option Value | $ 52.38 |
Two option prices and provide your finding from the results
Both two options are based on the interest rate of return, dividend yield and exercise price. It is analyzed that the American put option price is showing the lower amount of value which is 2 points lower as compared to the four year binomial model.
References
Chi, T., & Seth, A. (2017). Real option considerations in devising a collaborative strategy. In Collaborative Strategy. Edward Elgar Publishing.
Kester, W. C. (2016). The Galaxy Dividend Income Growth Fund’s Option Investment Strategies.
Laskin, N. (2018). Valuing options in shot noise market. Physica A: Statistical Mechanics and its Applications, 502, 518-533.
Ge, L., Lin, T. C., & Pearson, N. D. (2016). Why does the option to stock volume ratio predict stock returns?. Journal of Financial Economics, 120(3), 601-622.
Chan, K., Ge, L., & Lin, T. C. (2015). Informational content of options trading on acquirer announcement return. Journal of Financial and Quantitative Analysis, 50(5), 1057-1082.
Klemkosky, R. C., & Resnick, B. G. (2019). Put-call parity and market efficiency. The Journal of Finance, 34(5), 1141-1155.
Krause, T. A. (2019). Put-Call Parity in Equity Options Markets: Recent Evidence. Theoretical Economics Letters, 9(04), 563.
Wellman, M. P. (2016). Putting the agent in agent-based modeling. Autonomous Agents and Multi-Agent Systems, 30(6), 1175-1189.
Codagnone, C., Abadie, F., & Biagi, F. (2016). The future of work in the ‘sharing economy’. Market efficiency and equitable opportunities or unfair precarisation?. Institute for Prospective Technological Studies, Science for Policy report by the Joint Research Centre.
Gang, J., Zhao, Y., & Ma, X. (2019). Put-call ratio predictability of the 50ETF option. Economic and Political Studies, 7(3), 352-376.
Codagnone, C., Abadie, F., & Biagi, F. (2016). The future of work in the ‘sharing economy’. Market efficiency and equitable opportunities or unfair precarisation?. Institute for Prospective Technological Studies, Science for Policy report by the Joint Research Centre.
Lev, B. (2018). Toward a theory of equitable and efficient accounting policy. Accounting Review, 1-22.
Larson, A. M., & Petkova, E. (2011). An introduction to forest governance, people and REDD+ in Latin America: obstacles and opportunities. Forests, 2(1), 86-111.
Landell-Mills, N. (2012). Developing markets for forest environmental services: an opportunity for promoting equity while securing efficiency?. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 360(1797), 1817-1825.
Codagnone, C., Abadie, F., & Biagi, F. (2016). The future of work in the ‘sharing economy’. Market efficiency and equitable opportunities or unfair precarisation?. Institute for Prospective Technological Studies, Science for Policy report by the Joint Research Centre.