Advanced Energy Derivatives Pricing, Hedging and Risk Management (DPH3) Pre-test

The Oxford Princeton Programme strives to identify the most appropriate training solution for each individual. Consequently, we have devised a questionnaire that you may use to guide you to the most appropriate course and to indicate the level of knowledge you will acquire within the Advanced Energy Derivatives Pricing, Hedging and Risk Management (DPH3) course.

The test below is not "graded". It is meant to give you and your training coordinator an idea of how comfortable you are with the prerequisite material. If this test comfortably takes you one hour or less, you are well prepared to enter the course.

We will review all of these tests to ensure all delegates are entering at a similar level.

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1. Which 'moment' measures the 'tail' a probability distribution?

1.

a. Mean

b. Standard deviation

c. Skewness

d. Kurtosis

2. How can an extendable swap be decomposed?

2.

a. A swap and an option on a swap

b. A swap and a put option

d. A swap and a short forward

3.

c. Strip of Bermudan options

d. Strip of European options

4. A zero cost collar is a combination of:

4.

a. A long call and short put

b. A long call and long put

c. A short put and a short put

5.

6.

a. Long call

b. Long put

c. Long straddle

d. Zero cost collar

7.

a. The normality assumption means the spread may take positive or negative values

b. The normality assumption means the spread may only take positive values

c. The spread variability in absolute terms does not increase as the size of the spread increases

d. Correlatons are not needed to model the spread

8. Assuming that the daily volatility of WTI price is 2%, what is the approximate annulaized volatility assuming that returns follow a normal distribution and they are independant and identically distributed (i.i.d.)?

8.

a. 69%

b. 15%

d. 32%

9. Which of the following are VaR methodologies:

9.

b. Option sensitivity analysis and historical simulation

c. Variance-coverance and historical simulation

d. Volumetric analysis and Monte Carlo

10. In historical simulation, volatilities and correlations of the market risk factors are used to generate scenarios.

10.

a. TRUE

b. FALSE

c. Only if the portfolio contains European options

d. Only in the case of natural gas derivatives, but not oil or power

11. Which VaR methodology is least effective for measuring the risk of option positions?

11.

a. Variance-coveriance approach

b.Monte Carlo simulations

c. Historical simulations

12. L&P's Liquidity Risk Survey consists of:

12.

a. A way for S&P to determine market liquidity

b. A stress test conducted by S&P related to the liquidity of financial firms

c. A set of ratios that firms need to calculate to determine their liquidity risk under extreme market and credit conditions

d. A survey to determine the impact of counterparty risk on energy markets

13. Only one of the following statements is correct:

13.

b. VaR is the minimum loss we can experience over a particular period of time

14.

a. 100% of the Jet Fuel volume

b. 120% of the Jet Fuel volume

c. 75% of the Jet Fuel volume

d. 25% of the Jet Fuel volume

15. We want to hedge Jet Fuel with Heating Oil. If Heating Oil's volatility is twice the volatility of Jet Fuel, and they have a correlation equal to +100%, the optimal hedge ratio to determine the Heating Oil volume would be:

15.

a. 100% of the Jet Fuel volume

b. 200% of the Jet Fuel volume

c. 150% of the Jet Fuel volume

d. 50% of the Jet Fuel volume

16. If you buy a straddle with two options with similar deltas in absolute terms, your resultinh 'Greeks' are:

16.

a. Delta positive, Vega negative

b. Delta negative, Vega negative

17.

b. ITM options

c. ATM options

d. Forwards

18. Which of the following models is the one most commonly used to price options on forward contracts?

18.

a. Black-Scholes

b. Heston's stochastic volatility

c. Black' 76

d. Black' 87

19.

a. The correlation between all assets is 0

b. The correlation between all assets is 1

c. The correlation between all assets is 0.5

d. The correlation between all assets is -1

20.

a. Long gamma

b. Short gamma

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