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i. Determine the Value-at-Risk (VaR), denominated in Australian dollars, for the portfolios provided below using

1. Variance/covariance (Delta-Normal/Delta Gamma for non-linear positions)

2. Historical Simulation

3. Monte Carlo Simulation

ii. Determine the Expected Tail Loss (ETL), denominated in Australian dollars, for the portfolios provided below using the results from

1. Historical Simulation

2. Monte Carlo Simulation

For each of the methods above, calculate the VaR and ETL (where applicable) for the following parameter sets:

Confidence Level (%)  95 99 95 99
Holding Period (days)  1 1 10 10

Outline of Steps:

1. Determine the risk factors affecting each portfolio. (Note: the set of interest rate data provided consists of many more zero-coupon rates than needed for the portfolios.)

2. Determine the valuation formulae to be used for the positions. Some positions may need to be decomposed into simpler instruments (e.g bonds can be decomposed into equivalent zero coupon bonds).

3. Determine the mark-to-market value of the portfolios on the valuation date.

4. Determine a method for estimating the change in the underlying risk factor (e.g. log(change), discrete change (%))

5. Determine the variance/covariance and correlation matrices for the various portfolios.

6. Proceed with VaR estimation.

Task 1:

You are required to submit the results for the following:

1. Mark-to-market value of the all portfolios.

2. Value-at-Risk for the following portfolios:

Portfolio 1

Portfolio 2

Portfolio 4

Using:
a. Variance/covariance methodology

b. Historical simulation.

with the parameter values below:

Confidence Level (%)  95 99 95 99
Holding Period (days)  1 1 10 10

Task 2:

Final Submission of Assignment:

The final results of the assignment should be submitted should be in the form of

1. Written report consisting of :

- A brief description of the methods used in calculating VaR.

- Any additional assumptions made for each VaR method including the method used to measure the changes in risk factors, the technique used to determine the 10-day VaR for each method.

- Full documentation of the VaR results for all individual portfolios and the specified combinations using the various methods as required for the assignment.

- A brief analysis and explanation of the variability in the VaR estimates determined using the different methods.

- A brief analysis of the diversified vs. undiversified risk for the combined portfolios.

2. Computer programs/spreadsheets developed and used for the assignment.

Portfolio 1 



Physical Bonds Issuer Coupon rate p.a  Maturity  Next Coupon Date  Face Value (Millions) 
Com G  4.75% 15-Jun-16 15-Dec-15 10
Com G  4.25% 21-Jul-17 21-Jan-16 5
Com G  5.50% 21-Jan-18 21-Jan-16 8
Com G  5.25% 15-Mar-19 15-Sep-15 10
Com G  4.50% 15-Apr-20 15-Oct-15 5
Assume: coupon paid semi-annually. 



Portfolio 2

Spot Foreign Exchange

Currency  Currency Description  AUD Million Equivalents 
USD  US $  40
EUR  Euro  60
GBP  UK £  55
NZD  New Zealand $  30
INR  Indian Rupee  50
JPY  Yen  30

Portfolio 4


Physical Share Issuer  Number of Shares  Bought/Sold 
CBA  60,000 Sold 
ANZ  80,000 Bought 
RIO  100,000 Bought 
NCM  200,000 Sold 
WPL  150,000 Bought 
TLS  250,000 Sold 

Share Options(Exchange Traded)





Maturity  Underlying  Put/Call  Bought/Sold  Number of Shares  Strike  (% p.a) 
9-Oct-15 BHP  Call  Bought  250,000 $28.00 29.53%
8-Jan-16 RIO  Put  Bought  200,000 $54.00 26.06%
12-Mar-16 RIO  Call  Bought  200,000 $53.00 26.48%
4-Mar-16 NCM  Put  Sold  200,000 $12.00 44.18%
7-Apr-16 NCM  Call  Sold  250,000 $10.00 44.00%
9-Jun-16 WPL  Put  Bought  200,000 $33.00 25.22%
Assume: Options are European style 






Attachment:- Assignm.pdf

Risk Management, Finance

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