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FIN9007 Derivatives
创建日期：2024-04-30 18:06:09
标签： FIN9007
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FIN9007 Derivatives 


Group Project Guideline

Work in a group of four students, write a report based on the following requirements. The
report should be No more than 15 pages (including figures and tables, excluding title page,
references, and appendix). 1.5 line spacing. 12-point font size. Reasonable margin.

Requirements for the Code:
a. R is used as the coding software. R studio is used as the IDE in this module.
b. Code should be added in the appendix of the report.
c. Code should contain no bug. Anyone can rerun your code.

Requirements for figures and tables:
Figure or tables must appear in the body of the text (often at the top of a page) possibly near
where they are referenced in the text. Underneath the figure or table, there should be a
sequential number and a caption with a brief description of what it is about. Use of a different
font or font size or boldface/italics is recommended to distinguish the caption from the main
text.

Sample Data:
a. 2010-2020 daily close S&P 500 index level
b. 2010-2020 daily close SDPR ETF
c. 1. S&P 500 E-mini futures daily settlement price on 20200110
2. S&P 500 E-mini futures (Delivery Date 20200619) daily settlement price from
20190315 to 20200619
d. 1. Daily SPX option price on 20200110
2. Daily SPX option price (Expiry Date 20200619) from 20180620 to 20200618
e. 1. Daily SPY option price on 20200110
2. Daily SPY option price (Expiry Date 20200619) from 20180620 to 20200618
Assignments:
1.1 Present and comment on the summary statistics of S&P 500 index, SDPR ETF, S&P 500
E-mini futures, SPX options, and SPY options. (5%)
1.2 Present and comment on the relationship between S&P 500 index and SDPR ETF. (5%)
1.3 Use time series of S&P 500 futures prices, present and comment the relationship between
S&P 500 futures and S&P 500 index level. (5%)

2.1 Estimate the put-call parity implied underlying asset price. Compare the put-call parity
implied underlying asset price with the S&P 500 index level and S&P 500 futures price.
Calculate put-call parity implied interest rate and dividend yield. Does put-call parity implied
underlying asset price always move in the same direction as the S&P 500 index level? (15%)
2.2 Compare option price bounds and the market option prices. Does option prices within the
theoretical bounds? Is there an arbitrage opportunity? (5%)

3.1 Use binomial tree model, calculate both SPX and SPY option prices. Are option prices
calculated from the binomial tree model consistent with market option prices? (10%)

4.1 Choose a trading date, use Wiener process, Generalized Wiener process (Brownian motion),
and Geometric Brownian motion (GBM), to simulate future S&P 500 index level, and plot the
distribution at expiry. Comment whether those stochastic processes well describe the index
movement. (5%)

5.1 Use the Black-Scholes formula to calculate SPX option prices. Are option prices calculated
from the Black-Scholes formula consistent with market option prices? (5%)
5.2 Use GBM and Monte Carlo simulation to calculate SPX option prices. Compare computed
option prices and market option prices. (10%)

6. Based on the Black-Scholes formula and binomial tree model, calculate implied volatility of
SPX and SPY options. Plot and comment option implied volatility curves. What is the
relationship between option implied volatility, conditional expected volatility, and realised
volatility? (10%)

7.1 Estimate and comment on S&P 500 index historical volatility. Use GARCH and EWMA
model to estimate S&P 500 conditional volatility. (5%)
7.2 Compare GARCH and EWMA models in forecasting S&P 500 conditional volatility. (5%)

8.1 Choose an ATM SPX option contract. Use the Greek letters to comment on the option price
changes over time. Do the Greek letters explain the changes in option prices? And why? (10%)
8.2 Use SPY ETF or SPX futures to create a synthetic option (ATM, at least 30 days time to
maturity, choose the start date and option specs by yourself). Compare the performance of the
synthetic option and the exchange traded option. (5%)
案例分类
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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 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