Financial Engineering 5

Student Information

You must enter the information in the “yellow” fields below before starting the assignment. Fall 2020 expected semi-annual rate 0.01313 Futures Original Modified
Name annual risk free rate 0.02626 Settlement Date Sorghum Rice Oats Soybeans Corn Alfalfa Wheat Date Sorghum Rice Oats Soybeans Corn Alfalfa Wheat
10 digit student ID # 1220885757 notional amount 14420000 Price 4/30/06 26.2 60.1 73.75 147.6519 $ 65.00 74.1 83.9916 7/31/14 41.28 94.7 116.21 232.66 102.42 116.76 132.35
Date 4.92 5/31/06 28.6 59.8 75 153.9846 $ 68.21 76 83.6583 8/31/14 45.07 94.23 118.18 242.63 107.49 119.75 131.82
Class 0.02626 5.02 1.02 6/30/06 30.6 58.2 79.375 159.6507 $ 70.71 77 84.6582 9/30/14 48.22 91.71 125.07 251.56 111.42 121.33 133.4
By downloading this assignment you agree to not share this exam with anyone. You also agree to completing this assignment without the assistance or of anyone unless you have received written approval from the instructor. You agree to not collaborate with anyone with this assignment You agree to not use another student’s assignment or materials to aid you with this assignment You understand that not following these rules, or any other rules identified in the ASU Academic Integrity Policy will result in a zero grade for this assignment a violation report to the Dean’s office, and likely suspension from ASU. Please teach each other the Excel functions and financial engineering functions. However, do not provide answers or assist others with their answers. Engineers must learn how to solve problems! This assignment is the property of Daniel R. McCarville and Arizona State University. It is copyright protected. 0.027573 5.17 1.03 7/31/06 32.1 56.4 80 163.6503 $ 72.50 77.7 86.3247 10/31/14 50.58 88.87 126.06 257.86 114.24 122.43 136.02
0.02895165 5.17 1 8/31/06 32.4 57.5 84.375 166.65 $ 72.50 81.9 85.6581 11/30/14 51.05 90.6 132.95 262.59 114.24 129.05 134.97
Instructions: 0.0303992325 5.01 0.97 9/30/06 33.3 56.2 81.875 172.9827 $ 75.36 87.9 86.3247 12/31/14 52.47 88.55 129.01 272.57 118.74 138.5 136.02
1. You must enter the information requested above. 0.0319191941 4.91 0.98 10/31/06 33.2 56.9 77.5 164.3169 $ 68.21 85.1 83.325 1/31/15 52.31 89.66 122.12 258.91 107.49 134.09 131.3
2. Include your entire 10 (ten) digit student ID number. 0.0335151538 4.76 0.97 11/30/06 28.2 55.9 67.5 150.9849 $ 58.57 83.3 77.3256 2/28/15 44.43 88.08 106.36 237.91 92.29 131.26 121.84
3. Do not change the questions as I have typed them. 0.0351909115 4.81 1.01 12/31/06 27.3 57.2 58.125 148.3185 $ 54.29 84.7 79.992 3/31/15 43.02 90.13 91.59 233.71 85.54 133.46 126.04
4. Fill in all yellow boxes with the requested information and/or answer. 0.0369504571 4.71 0.98 1/31/07 27.7 55.3 59.375 152.9847 $ 57.50 86 80.9919 4/30/15 43.65 87.14 93.56 241.06 90.6 135.51 127.62
5. To show your cash flow drawings, you must copy the drawings onto the Question Worksheet. 0.03879798 4.71 1 2/28/07 30.1 55.7 67.5 148.3185 $ 62.14 89.2 89.3244 5/31/15 47.43 87.77 106.36 233.71 97.92 140.55 140.75
6. Please show your Excel work in the same worksheet as the Question. 0.040737879 3/31/07 32.7 57.2 76.25 151.6515 $ 66.43 88 93.9906 6/30/15 51.53 90.13 120.15 238.96 104.67 138.66 148.1
7. Data Analysis TookPak results such as Covariance Matrices or Regression Analysis can be inserted in a new worksheet. Bushels 20000 4/30/07 35.4 56.9 71.25 159.3174 $ 70.36 89.7 95.6571 7/31/15 55.78 89.66 112.27 251.04 110.86 141.34 150.73
8. I do give some partial credit where enough detail is presented. Initial Account % 0.05 5/31/07 33.9 58.6 75.625 155.9844 $ 70.71 91 94.6572 8/31/15 53.42 92.34 119.16 245.78 111.42 143.39 149.15
Margin Maintenance 0.75 6/30/07 34.7 57.2 80 148.6518 $ 70.00 92.9 94.3239 9/30/15 54.68 90.13 126.06 234.23 110.3 146.38 148.63
Question Points Actual 7/31/07 32.9 56.6 77.5 146.3187 $ 70.00 95 95.6571 10/31/15 51.84 89.18 122.12 230.55 110.3 149.69 150.73
1a 5 0 MCCA 8/31/07 30.4 56.8 80 140.6526 $ 67.50 105 95.3238 11/30/15 47.9 89.5 126.06 221.63 106.36 165.45 150.2
1b 5 0 Option Type Stock Price IV Strike Price Exp Vol Open Int 9/30/07 32.1 54 80 144.3189 $ 65.00 109 99.3234 12/31/15 50.58 85.09 126.06 227.4 102.42 171.75 156.5
2a 5 0 Call 29.59 0.3384 28 May, 2015 3051 40421 10/31/07 36.2 51.4 86.25 148.6518 $ 62.86 104 91.3242 1/31/16 57.04 80.99 135.9 234.23 99.04 163.87 143.9
2b 5 0 Annual interest rate = 0.02626 Trading days per year = 252 11/30/07 37.2 53.2 82.5 159.6507 $ 66.79 104 87.6579 2/29/16 58.62 83.83 130 251.56 105.23 163.87 138.12
3a 2 0 12/31/07 34.9 50.1 78.125 161.6505 $ 67.86 105 91.3242 3/31/16 54.99 78.94 123.1 254.71 106.92 165.45 143.9
3b 2 0 ABCD 1/31/08 34.4 46.7 86.875 150.9849 $ 68.21 108 94.9905 4/30/16 54.2 73.59 136.89 237.91 107.49 170.18 149.68
3c 2 0 Option Type Stock Price IV Strike Price Exp Vol Open Int 2/29/08 33 43.9 102.5 136.3197 $ 65.71 106 95.6571 5/31/16 52 69.17 161.51 214.8 103.55 167.02 150.73
3d 2 0 38.5 0.39038 37 May, 2015 4892 55057 3/31/08 33 42.5 111.875 138.6528 $ 66.07 104 95.6571 6/30/16 52 66.97 176.28 218.48 104.11 163.87 150.73
3e 2 0 Annual interest rate 0.028886 Trading days per year 252 4/30/08 32.5 42.9 120 139.986 $ 70.71 105 95.9904 7/31/16 51.21 67.6 189.08 220.58 111.42 165.45 151.25
Total 30 0 5/31/08 33.4 43 120.625 140.6526 $ 70.36 101 95.6571 8/31/16 52.63 67.76 190.07 221.63 110.86 159.15 150.73
6/30/08 32.6 41.6 119.375 140.6526 $ 68.93 100 94.3239 9/30/16 51.37 65.55 188.1 221.63 108.61 157.57 148.63
Comments: 7/31/08 32.3 39.9 124.375 145.9854 $ 69.29 99.6 95.6571 10/31/16 50.9 62.87 195.98 230.03 109.17 156.94 150.73
8/31/08 31.3 39.4 124.375 148.9851 $ 68.21 103 94.3239 11/30/16 49.32 62.08 195.98 234.76 107.49 162.3 148.63
9/30/08 31.7 39.8 124.375 154.6512 $ 68.93 108 93.6573 12/31/16 49.95 62.71 195.98 243.68 108.61 170.18 147.58
10/31/08 38.3 39.2 121.875 162.6504 $ 70.36 101 97.3236 1/31/17 60.35 61.77 192.04 256.29 110.86 159.15 153.35
11/30/08 40.6 38.1 105.625 178.3155 $ 76.07 100 106.9893 2/28/17 63.97 60.03 166.43 280.97 119.87 157.57 168.58
12/31/08 42.1 39.4 104.375 184.3149 $ 85.00 101 120.9879 3/31/17 66.34 62.08 164.46 290.42 133.93 159.15 190.64
1/31/09 43 40.9 112.5 179.6487 $ 88.21 101 140.3193 4/30/17 67.76 64.45 177.27 283.07 139 159.15 221.1
2/28/09 43.3 40.3 112.5 173.316 $ 83.57 102 145.9854 5/31/17 68.23 63.5 177.27 273.09 131.68 160.72 230.03
3/31/09 44 42.4 119.375 181.9818 $ 81.43 101 141.6525 6/30/17 69.33 66.81 188.1 286.75 128.31 159.15 223.2
4/30/09 43.3 44.6 121.875 181.9818 $ 82.86 98 135.3198 7/31/17 68.23 70.28 192.04 286.75 130.56 154.42 213.22
5/31/09 41.2 46.6 127.5 183.6483 $ 83.21 98.5 129.6537 8/31/17 64.92 73.43 200.9 289.37 131.12 155.21 204.3
6/30/09 41.4 42.4 131.875 184.9815 $ 83.57 96.2 123.321 9/30/17 65.23 66.81 207.8 291.48 131.68 151.58 194.32
7/31/09 39.4 43.1 130 186.3147 $ 83.21 96.7 118.3215 10/31/17 62.08 67.91 204.84 293.58 131.12 152.37 186.44
8/31/09 39.6 46.1 123.75 193.9806 $ 83.57 96.2 112.3221 11/30/17 62.4 72.64 194.99 305.66 131.68 151.58 176.99
9/30/09 39.5 48.4 121.875 202.3131 $ 85.00 101 110.9889 12/31/17 62.24 76.26 192.04 318.78 133.93 159.15 174.89
10/31/09 36.1 54.3 114.375 202.9797 $ 83.57 101 102.6564 1/31/18 56.88 85.56 180.22 319.84 131.68 159.15 161.76
11/30/09 36.3 53.1 91.25 193.9806 $ 77.50 93.8 98.3235 2/28/18 57.2 83.67 143.78 305.66 122.12 147.8 154.93
12/31/09 39.3 59.3 86.875 189.3144 $ 76.79 91.9 111.6555 3/31/18 61.93 93.44 136.89 298.3 120.99 144.81 175.94
1/31/10 39.7 65.6 86.875 201.9798 $ 78.57 90.1 112.9887 4/30/18 62.56 103.37 136.89 318.26 123.81 141.97 178.04
2/28/10 39.8 71.5 90 219.978 $ 75.71 89.1 114.6552 5/31/18 62.71 112.66 141.81 346.62 119.3 140.39 180.66
3/31/10 41.3 78 80.625 234.9765 $ 78.57 86.8 120.3213 6/30/18 65.08 122.9 127.04 370.25 123.81 136.77 189.59
4/30/10 42 85.5 98.75 238.9761 $ 82.50 87 122.6544 7/31/18 66.18 134.72 155.6 376.55 130 137.09 193.27
5/31/10 43.6 85.7 92.5 244.9755 $ 85.36 84.8 122.6544 8/31/18 68.7 135.04 145.75 386.01 134.5 133.62 193.27
6/30/10 47.6 82.3 98.75 275.9724 $ 93.21 85.1 125.6541 9/30/18 75 129.68 155.6 434.85 146.88 134.09 197.99
7/31/10 48.4 84.5 100 309.3024 $ 98.21 86.2 127.6539 10/31/18 76.26 133.15 157.57 487.37 154.76 135.83 201.14
8/31/10 50.9 86.5 101.875 320.6346 $ 103.21 92.7 129.3204 11/30/18 80.2 136.3 160.52 505.22 162.63 146.07 203.77
9/30/10 48.2 88.2 106.25 318.6348 $ 102.50 108 127.3206 12/31/18 75.95 138.98 167.42 502.07 161.51 170.18 200.62
10/31/10 45.8 93 100.625 302.6364 $ 99.64 102 118.3215 1/31/19 72.17 146.54 158.55 476.86 157.01 160.72 186.44
11/30/10 42.7 93.7 85 281.9718 $ 89.64 98.7 112.3221 2/28/19 67.28 147.64 133.93 444.3 141.25 155.52 176.99
12/31/10 40.1 89.3 82.5 227.6439 $ 83.57 99.3 108.9891 3/31/19 63.19 140.71 130 358.7 131.68 156.47 171.73
1/31/11 35.7 84.6 88.75 194.3139 $ 78.57 97.5 111.9888 4/30/19 56.25 133.3 139.84 306.18 123.81 153.63 176.46
2/28/11 31.7 75.9 90.625 185.3148 $ 76.43 100 114.3219 5/31/19 49.95 119.6 142.8 292 120.43 157.57 180.14
3/31/11 30.6 73.8 94.375 178.6488 $ 73.21 95.2 115.3218 6/30/19 48.22 116.29 148.71 281.5 115.36 150.01 181.71
4/30/11 29.9 73.7 100 181.6485 $ 72.86 92.1 113.322 7/31/19 47.11 116.13 157.57 286.22 114.8 145.12 178.56
5/31/11 29.5 73.9 102.5 185.6481 $ 75.71 94.5 114.3219 8/31/19 46.48 116.44 161.51 292.53 119.3 148.9 180.14
6/30/11 29.6 69 104.375 180.6486 $ 69.64 94 111.9888 9/30/19 46.64 108.72 164.46 284.65 109.74 148.12 176.46
7/31/11 30.4 69.7 108.125 198.3135 $ 72.14 98.6 113.9886 10/31/19 47.9 109.83 170.37 312.48 113.68 155.36 179.61
8/31/11 29.6 69.8 103.125 200.9799 $ 71.43 105 111.6555 11/30/19 46.64 109.98 162.49 316.68 112.55 165.45 175.94
9/30/11 30.5 69.8 102.5 206.9793 $ 70.71 114 110.3223 12/31/19 48.06 109.98 161.51 326.14 111.42 179.63 173.83
10/31/11 37.7 69.6 109.375 219.3114 $ 72.50 106 107.6559 1/31/20 59.4 109.67 172.34 345.57 114.24 167.02 169.63
11/30/11 39.4 68.2 99.375 221.6445 $ 75.36 105 106.656 2/29/20 62.08 107.46 156.59 349.25 118.74 165.45 168.06
12/31/11 36.9 65.9 93.125 204.9795 $ 69.64 108 107.9892 3/31/20 58.14 103.84 146.74 322.99 109.74 170.18 170.16
1/31/12 34.1 67.7 96.25 192.3141 $ 67.86 106 111.9888 4/30/20 53.73 106.67 151.66 303.03 106.92 167.02 176.46
2/29/12 29.9 70.2 99.375 188.9811 $ 65.00 105 114.3219 5/31/20 47.11 110.61 156.59 297.78 102.42 165.45 180.14
3/31/12 28.2 75.6 102.5 187.3146 $ 63.21 98.3 114.9885 6/30/20 44.43 119.12 161.51 295.15 99.61 154.89 181.19
4/30/12 29.1 75.4 108.125 192.6474 $ 68.57 96.9 117.6549 7/31/20 45.85 118.81 170.37 303.55 108.05 152.69 185.39

Question 1

You wish to hedge against interest rate changes so you enter into a swap
contract with another party for the next ten years based on the term
structure shown to the right, and the notional amount shown below. Term Structure
Year Rate
Notional amount 14420000 1 2.6260%
2 2.7573%
3 2.8952%
a) What is the value of the floating rate portion of the swap? Vfloat = 4 3.0399%
Points 5 5 3.1919%
Grade 6 3.3515%
7 3.5191%
b) Determine the fixed rate for the contract such that the swap has a r = 8 3.6950%
value of zero at the signing of the contract. 9 3.8798%
Points 5 10 4.0738%
Grade

Question 2

A buyer buys four futures contracts for soybeans per the quantity and Buyer Seller
initial price shown below. A seller sells the contracts for the same Margin Account Settlement Margin Account
quantity and price. Day Deposits Call Balance Price Deposits Call Balance
Initial Price $ 4.92 1 4.92
# Bushels 20,000
Initial Account % 5.00%
Margin Maintenance % 75% 2 5.02
3 5.17
a) Based on the daily settlment prices shown in the table to the right,
complete the yellow portions of the table identifying where
appropriate the Deposits, Margin Calls, and Account Ballances for 4 5.17
both the Buyer and the Seller.
Note, not all of the yellow cells will require a value.
Points 5 5 5.01
Grade
b) If the contract is closed at the close of the 10th day, calculate the 6 4.91
Total Gain or Loss for both the Buyer and the Seller. Fill in the yellow
cells provided at the bottom of the table to the right.
Points 5 7 4.76
Grade
Note, you do not need to do all of this with Excel formulas. 8 4.81
Calculators are fine, or a combination of both. It is just a step by step
process!
9 4.71
Note: How many bushels are in a contract?
10 4.71
Deposits
Final Balance
Total (Gain or Loss)

Question 3

A farmer has an uncertain price for her 20,000 tons of sorghum, but there Feed Grain Commodities
is not a future or option available to perform a perfet hedge. So, she Date Sorghum A B C D E F
chooses to base her hedge on one of six other future grain commodities, Jul-14 41.28 94.70 232.66 116.21 132.35 116.76 102.42
A, B, C, D, E, and F whose historical data are shown to the far right. Aug-14 45.07 94.23 242.63 118.18 131.82 119.75 107.49
All prices shown to the right are $ per ton. Sep-14 48.22 91.71 251.56 125.07 133.40 121.33 111.42
Today’s date is Jul-20 Oct-14 50.58 88.87 257.86 126.06 136.02 122.43 114.24
The current prices are: Current Price Nov-14 51.05 90.60 262.59 132.95 134.97 129.05 114.24
Sorghum 45.85 Dec-14 52.47 88.55 272.57 129.01 136.02 138.50 118.74
A 118.81 Jan-15 52.31 89.66 258.91 122.12 131.30 134.09 107.49
B 303.55 Feb-15 44.43 88.08 237.91 106.36 121.84 131.26 92.29
C 170.37 Mar-15 43.02 90.13 233.71 91.59 126.04 133.46 85.54
D 185.39 Apr-15 43.65 87.14 241.06 93.56 127.62 135.51 90.60
E 152.69 May-15 47.43 87.77 233.71 106.36 140.75 140.55 97.92
Complete parts a through e below: F 108.05 Jun-15 51.53 90.13 238.96 120.15 148.10 138.66 104.67
Jul-15 55.78 89.66 251.04 112.27 150.73 141.34 110.86
a) In the yellow box area provided, create summary table and correlation Summary Sorghum A B C D E F Aug-15 53.42 92.34 245.78 119.16 149.15 143.39 111.42
table feed grain commodities; fill in the yellow cells provided. Average Sep-15 54.68 90.13 234.23 126.06 148.63 146.38 110.30
Points 2 Variance Oct-15 51.84 89.18 230.55 122.12 150.73 149.69 110.30
Grade StDev Nov-15 47.90 89.50 221.63 126.06 150.20 165.45 106.36
Dec-15 50.58 85.09 227.40 126.06 156.50 171.75 102.42
Correlation Sorghum A B C D E F Jan-16 57.04 80.99 234.23 135.90 143.90 163.87 99.04
Sorghum Feb-16 58.62 83.83 251.56 130.00 138.12 163.87 105.23
A Mar-16 54.99 78.94 254.71 123.10 143.90 165.45 106.92
B Apr-16 54.20 73.59 237.91 136.89 149.68 170.18 107.49
C May-16 52.00 69.17 214.80 161.51 150.73 167.02 103.55
D Jun-16 52.00 66.97 218.48 176.28 150.73 163.87 104.11
E Jul-16 51.21 67.60 220.58 189.08 151.25 165.45 111.42
F Aug-16 52.63 67.76 221.63 190.07 150.73 159.15 110.86
Sep-16 51.37 65.55 221.63 188.10 148.63 157.57 108.61
b) Which of the other commodities, A, B, C, D, E, or F would you choose Recommended Oct-16 50.90 62.87 230.03 195.98 150.73 156.94 109.17
recommend to the farmer for hedging his Sorghum crop? commodity is: Nov-16 49.32 62.08 234.76 195.98 148.63 162.30 107.49
Points 2 Dec-16 49.95 62.71 243.68 195.98 147.58 170.18 108.61
Grade Jan-17 60.35 61.77 256.29 192.04 153.35 159.15 110.86
Feb-17 63.97 60.03 280.97 166.43 168.58 157.57 119.87
c) Calculate the number of tons and dollars of the commodity future you chose # of tons = Mar-17 66.34 62.08 290.42 164.46 190.64 159.15 133.93
in part b) above for the farmer to use as a hedge for her sorghum crop. $ = Apr-17 67.76 64.45 283.07 177.27 221.10 159.15 139.00
Points 2 May-17 68.23 63.50 273.09 177.27 230.03 160.72 131.68
Grade Jun-17 69.33 66.81 286.75 188.10 223.20 159.15 128.31
Jul-17 68.23 70.28 286.75 192.04 213.22 154.42 130.56
d) Calculate the standard deviation of the farmer’s newly hedged position. New StDev = Aug-17 64.92 73.43 289.37 200.90 204.30 155.21 131.12
Points 2 Sep-17 65.23 66.81 291.48 207.80 194.32 151.58 131.68
Grade Oct-17 62.08 67.91 293.58 204.84 186.44 152.37 131.12
Nov-17 62.40 72.64 305.66 194.99 176.99 151.58 131.68
e) Is the farmer buying long or selling short these futures to hedge her Buy or sell? Dec-17 62.24 76.26 318.78 192.04 174.89 159.15 133.93
sorghum crop? Jan-18 56.88 85.56 319.84 180.22 161.76 159.15 131.68
Points 2 Feb-18 57.20 83.67 305.66 143.78 154.93 147.80 122.12
Grade Mar-18 61.93 93.44 298.30 136.89 175.94 144.81 120.99
Apr-18 62.56 103.37 318.26 136.89 178.04 141.97 123.81
May-18 62.71 112.66 346.62 141.81 180.66 140.39 119.30
Jun-18 65.08 122.90 370.25 127.04 189.59 136.77 123.81
Jul-18 66.18 134.72 376.55 155.60 193.27 137.09 130.00
Aug-18 68.70 135.04 386.01 145.75 193.27 133.62 134.50
Sep-18 75.00 129.68 434.85 155.60 197.99 134.09 146.88
Oct-18 76.26 133.15 487.37 157.57 201.14 135.83 154.76
Nov-18 80.20 136.30 505.22 160.52 203.77 146.07 162.63
Dec-18 75.95 138.98 502.07 167.42 200.62 170.18 161.51
Jan-19 72.17 146.54 476.86 158.55 186.44 160.72 157.01
Feb-19 67.28 147.64 444.30 133.93 176.99 155.52 141.25
Mar-19 63.19 140.71 358.70 130.00 171.73 156.47 131.68
Apr-19 56.25 133.30 306.18 139.84 176.46 153.63 123.81
May-19 49.95 119.60 292.00 142.80 180.14 157.57 120.43
Jun-19 48.22 116.29 281.50 148.71 181.71 150.01 115.36
Jul-19 47.11 116.13 286.22 157.57 178.56 145.12 114.80
Aug-19 46.48 116.44 292.53 161.51 180.14 148.90 119.30
Sep-19 46.64 108.72 284.65 164.46 176.46 148.12 109.74
Oct-19 47.90 109.83 312.48 170.37 179.61 155.36 113.68
Nov-19 46.64 109.98 316.68 162.49 175.94 165.45 112.55
Dec-19 48.06 109.98 326.14 161.51 173.83 179.63 111.42
Jan-20 59.40 109.67 345.57 172.34 169.63 167.02 114.24
Feb-20 62.08 107.46 349.25 156.59 168.06 165.45 118.74
Mar-20 58.14 103.84 322.99 146.74 170.16 170.18 109.74
Apr-20 53.73 106.67 303.03 151.66 176.46 167.02 106.92
May-20 47.11 110.61 297.78 156.59 180.14 165.45 102.42
Jun-20 44.43 119.12 295.15 161.51 181.19 154.89 99.61
Jul-20 45.85 118.81 303.55 170.37 185.39 152.69 108.05

References: Villalobos, Luenberger, Faerber, Investopedia

Lecture 13

Introduction to Derivatives Part 1

 

 

Lecture Topics • Introduction to Derivative Securities • Swaps • Forwards • Examples

 

 

Derivatives • Derivatives are securities such as options and futures

contracts, whose value depends on the performance of an underlying asset such as a stock or contract.

• Some derivatives are classified by: – The type of underlying asset such as an equity, foreign

exchange, interest rate, etc. – The relationship with the underlying asset including options,

futures, and swaps. – The market which they are traded, such as an exchange,

over the counter (OTC), etc. – The derivative’s complexity including plain vanilla or exotic.

• Derivatives have contracts.

 

 

Why Use a Derivative? • Gain leverage, a small movement in the value of the underlying

asset can cause a large change in the value of the derivative.

• Making a profit (speculation) if the value of the underlying asset moves the way it is expected.

• Hedging (risk reduction) by taking positions on derivative contracts that moves in an opposite direction to the main position.

• Making a profit by getting a derivative position when it is not possible to get a position in the underlying asset, such as weather derivatives.

– Look up weather derivative in Wikipedia and Investopedia.

 

 

Over The Counter Market • Over The Counter (OTC) derivatives are contracts that are

traded (and privately negotiated) directly between two parties. • Products such as swaps, forward rate agreements, and exotic

options are almost always traded in the OTC market. • The OTC market consists of banks and other highly

sophisticated organizations such as hedge funds. • The OTC derivative market is the largest market for derivatives.

– The notional amount is approximately US$700 trillion. – Of this total notional amount, the contracts were related to:

78% Interest Rate 0.5% Commodity 5% Credit Default Swaps (CDS) 1% Equity 9% Foreign Exchange 6.5% Other Contracts

• Because OTC derivatives are not traded on an exchange, there is no central counter-party and they are a counter-party risk.

• This is the market where the recent mortgage problems arose. http://www.bis.org/statistics/derstats.htm

 

 

Exchange Market • A derivatives exchange is a market where individuals trade

standardized contracts that have been defined by the exchange. • Exchange Traded Derivative contracts (ETD) are traded in the

specified markets. • A derivatives exchange acts as an intermediary to all related

transactions; third party that can help reduce the risk. • According to the Bank of International Settlements (BIS), the

combined turnover in the world’s derivatives exchanges totaled USD 5.3 trillion per day during 2013.

• Some types of derivative instruments may also trade on traditional exchanges.

• The world’s largest derivatives exchanges based on the number of transactions are the Korea Exchange, Eurex, and Chicago Mercantile Exchange (CME Group).

 

 

Derivatives and Risk • Forward contracts, futures contracts, and options are the most

common types of derivatives.

• Derivatives are generally used by institutional investors to increase overall portfolio return or to hedge portfolio risk.

• We will focus on the use of derivative for risk management.

• The use of derivatives for risk management has attracted a lot of attention lately but it has a long history.

• The feudal lords of Japan in the 1600’s used a market called Cho-ai-mai to manage the volatility in the price of rice.

 

 

Forward Contracts • A forward contract is a non-standardized contract between two

parties to buy or sell an asset at a specified future time at a price agreed upon today.

• The forward contract is between two parties: the buyer and the seller.

– The buyer is said to be “long”, the seller is said to be “short”.

– Being long or short a given amount is the position of the party.

• The “forward price” is the price that applies at delivery. • The open market for immediate delivery of a commodity is

called the Spot Market. • The initial contract is usually set in such a way that the initial

payment for the contract is zero. • A key assumption in determining the price of the contracts is

arbitrage free.

 

 

Forward Contract Example • Forward Contract is a cash market transaction in which delivery of the

commodity is deferred until after a certain date specified in the contract.

– The price is determined at the initial trade date. • The Contract is agreed upon at time zero and settled at time N.

• Very often cash is delivered, instead of the commodity . • The amount of the payment is determined by the spot price of the

commodity at time n. • A concern might be: how do we determine the forward price at the time

the contract is signed?

0 1 2 3 N-1 N Cash

Commodity

. . . . .

 

 

Forward Contract Brewer Example • Suppose that a brewer needs 100 tons of special barley six

months from now to produce a batch of specialty beer sold during the Christmas holidays.

• Since the price of barley is highly unstable, the brewer wants to get a “long” position in a contract for 100 tons of barley to be delivered 6 months from today.

• What should be the forward price in $/ton for this contract?

• Assumptions: – The current price for barley is $200/ton. – The cost of storing a ton of barley is of $1/ton per month. – The risk free interest rates are given by the yield curve of the

US treasury securities.

 

 

Forward Prices • Define F as the forward price or the price agreed upon in the

contract to deliver a unit of the commodity. • Define f as the current value of the contract. • The forward price F is set such that f =0 (The value of the

contract is zero when it is signed). • Suppose that at time t = 0:

– Spot price for the underlying asset of a commodity is S. – A forward contract is being prepared for the delivery of the

asset at time T. – What should be the price F such that f =0?

• Two key observations: – The value of the forward contract is determined by the spot

price of the commodity. – The value of the contract can be used to lend or borrow

money at the normal market interest rates; the interest rates structure should apply.

 

 

Contract Value • An easy way to visualize the worth of a contract is to look at the

payoff graphic:

FSt −

Profit

From the perspective of the buyer (Long Position)

FSt −

Profit

From the perspective of the seller (Short Position)

 

 

Forward Prices • Suppose that you buy in the spot market a unit of a commodity

at price S and at the same time you enter in a contract to sell that unit at time T for a price F.

• Then the theoretical forward price F should meet:

Where d(0,T) is the discount factor calculated using the risk-free market interest rate.

• Thus the theoretical forward price would be:

( )d 0,S T F=

( )d 0, SF

T =

 

 

Forward Prices • The previous formula assumed that no storage costs were

incurred. • If there are storage costs, then:

• Where c(k) is the maintenance cost at period k.

• An equivalent formulation is:

( ) ( )

( )∑ −

=

+= 1

0 ,,0

M

k Mkd kc

Md SF

( ) ( ) ( )∑ −

=

−= 1

0 ,0,0

M

k kckdFMdS

 

 

Brewer Example • To simplify the analysis let’s assume that the yield for the 6 month

US Treasury is the nominal monthly discount rate. – That is, the monthly interest rate = (0.14%/12)= 0.012% per

month. – Then the forward price of barley in the contract should be:

• Exercise: Suppose that brewer found a counterparty for a forward contract and the contract was signed. Two months later the spot price of the ton of barley increased to $205/ton. What is the value of the contract then?

( ) ( )

( )

( )

( )

( )

1

0

1

0 6

0, ,

100 120,000 20,614.181 1 1 0.00012 1 0.00012

M

k

M

k k

c kSF d M d k M

=

=

= + =

× = + =

+ +

 

 

Swaps • Swaps are financial products that are used to alter the exposure

of investment portfolios, or any series of cash flows. • The most common kind of swap is an interest rate swap. • In an interest rate swap, two parties agree to exchange periodic

interest payments based on a predetermined notional principal amount.

• In a typical interest rate swap one party will pay a fixed interest rate, while the other party agrees to pay a floating rate.

• For example, two parties may enter into an interest rate swap in which they agree to exchange interest payments on $100 million notional principal.

– In this swap, one counterparty may agree to pay a fixed rate of 7%.

– The other counterparty may agree to pay 3 month , London Interbank Offered Rate (LIBOR).

 

 

Swaps • The value of an interest rate swap changes as the level of

interest rates change.

• For instance, a fixed rate payer essentially has a fixed rate liability and a floating rate asset.

• If interest rates fell, the fixed rate payer would still have to pay the higher fixed rate.

• If the short-term rate received remained the same, the marked to market value of the fixed rate payer’s position would be negative.

• Conversely, the fixed rate receiver would have a positive market to market position if the opposite occurred.

 

 

Interest Rate Swap • The most common and simplest swap is a “plain vanilla”

interest rate swap. • In this swap, Party A agrees to pay Party B a predetermined,

fixed rate of interest on a notional principal on specific dates for a specified period of time.

• Concurrently, Party B agrees to make payments based on a floating interest rate to Party A on that same notional principal on the same specified dates for the same specified time period.

• In a plain vanilla swap, the two cash flows are paid in the same currency.

– The specified payment dates are called settlement dates. – The time between are called settlement periods.

• Because swaps are customized contracts, interest payments may be made annually, quarterly, monthly, or at any other interval determined by the parties.

• Note, you are only paying the difference at the settlement dates.

 

 

Interest Rate Swap • For example, on December 31, 2010, Company A and Company

B enter into a four-year swap with the following terms: – Company A pays Company B an amount equal to 6% per

annum on a notional principal of $20 million. – Company B pays Company A an amount equal to one-year

LIBOR + 1% per annum on a notional principal of $20 million.

 

 

Example • LIBOR, or London Interbank Offer Rate, is the interest rate offered by

London banks on deposits made by other banks in the eurodollar markets. • The market for interest rate swaps frequently uses LIBOR as the base for

the floating rate. • For simplicity, let’s assume the two parties exchange payments annually

on December 31, beginning in 2011 and concluding in 2015. • At the end of 2011, Company A paid Company B $20,000,000 x 6% =

$1,200,000. • On December 31, 2010, one-year LIBOR was 5.33%; therefore, Company B

will pay Company A $20,000,000 x (5.33% + 1%) = $1,266,000. • In a plain vanilla interest rate swap, the floating rate is usually determined

at the beginning of the settlement period. • Normally, swap contracts allow for payments to be netted against each

other. – Here, Company B pays $66,000, and Company A pays nothing. – At no point does the principal change hands, which is why it is referred

to as a “notional” amount.

 

 

Why Use a Swap? • The motivations fall into two basic categories: commercial needs and

comparative advantage. • The normal business operations of some firms lead to certain types of

interest rate or currency exposures that swaps can reduce. • For example, consider a bank, which pays a floating rate of interest on

deposits (i.e., liabilities) and earns a fixed rate of interest on loans (i.e., assets).

– The bank could use a fixed-pay swap (pay a fixed rate and receive a floating rate) to convert its fixed-rate assets into floating-rate assets, which would match up well with its floating-rate liabilities.

• Some companies have a comparative advantage in acquiring certain types of financing.

• A company may acquire the financing for which it has a comparative advantage, then use a swap to convert it to the desired type of financing.

• For example, consider a well-known U.S. firm that wants to expand its operations into Europe, where it is not well known.

• It will likely receive more favorable financing terms in the US; by using a currency swap, the firm ends with the Euros it needs to fund its expansion.

Investopedia

 

 

Assignments • Finish reading Luenberger Chapter 10. • Check out definitions for derivatives, forwards and swaps in

Investopedia and Wikipedia. • Make progress on your Literature Review!

 

  • Slide Number 1
  • Lecture Topics
  • Derivatives
  • Why Use a Derivative?
  • Over The Counter Market
  • Exchange Market
  • Derivatives and Risk
  • Forward Contracts
  • Forward Contract Example
  • Forward Contract Brewer Example
  • Forward Prices
  • Contract Value
  • Forward Prices
  • Forward Prices
  • Brewer Example
  • Swaps
  • Swaps
  • Interest Rate Swap
  • Interest Rate Swap
  • Example
  • Why Use a Swap?
  • Assignments
 
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