International Finance

Your first assignment is to perform a thorough analysis using the foreign exchange rate between

Australian and the US, S(USD/AUD). You note that the exchange rate is expressed in indirect

quotation from the Australian perspective. Using your skills, knowledge, training, and experience

perform the following tasks:

a. Draw continuously compounded returns of S(USD/AUD) graphically which can extract

information on the distributional characteristics of the returns. What kind of distribution

features you find.

b. Using 68–95–99.7 normal rule of thumb, provide evidence that the distribution of

S(USD/AUD) is different from the normal.

c. Compare artificially (normally) created returns data with that of the actual returns with a

valid graphical presentation. What characteristics of the returns do you look for to gauge

differences in the two returns?

d. What is your assessment for the directional move of S(USD/AUD) the next day based on

your intuition and then based on a valid statistic.

e. How would you convince your team to advise the client on whether to invest or not to

invest in S(USD/AUD) for the next 30 days. Your argument must be based on an

acceptable hypothesis testing procedure.

f. What can you say about the efficiency of the FX market? Base your discussion on the

following task:

β€’ Estimate the following models for USD/AUD returns leaving out the last week’s


i. π‘Ÿπ‘Ÿπ‘‘π‘‘ = πœ‡πœ‡ + πœ€πœ€π‘‘π‘‘, Random Walk Model (RWM)

ii. π‘Ÿπ‘Ÿπ‘‘π‘‘ = πœ‡πœ‡ + πœŒπœŒπ‘Ÿπ‘Ÿπ‘‘π‘‘βˆ’1 + πœ€πœ€π‘‘π‘‘, Autoregressive of order 1 (AR(1)) model

Note: Use last 100 trading days’ data: first 90 observations for estimation window

and the last 10 observations for hold out period.

β€’ Compute the individual forecasts and composite forecasts of S(USD/AUD) from

the above models in the hold out period. Use regression method for weights in

composite forecasts. Present the forecasting accuracy measures of MAE, MSE,

and RMSE for forecasts. Report the best model for the forecast.

g. Perform a risk assessment analysis for the next 100 days for the USD1 million invested in

AUD in terms of 1% VaR with historical, parametric, and simulated methods. What are

the risk implications to your investments on a daily basis?

h. Video presentation. (Not more than 2 minutes)

β€’ Explain the implications drawn about International Finance’s key variable

exchange rate for its distributional characteristics and its market efficiency.

Data source: The

sample period is beginning January 2003 to date.

Marking rule: Refer to the marking rubric for details on how this assessment will be marked

Hints: Continuously compounded returns are defined as the ratio of log(et/et-1)*100, where e is

the exchange rate. In part b, you can use the β€œSUMPRODUCT( )” function in Excel to look for

the observations that are within certain range.

Use Microsoft Excel for computations.


Price: Β£ 145

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