代写ETF3300/ETF5330 Quantitative Methods For Financial Mark
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代写ETF3300/ETF5330 Quantitative Methods For Financial Market
ETF3300/ETF5330 Quantitative Methods For Financial Markets
Assignment 2
Due by 4pm Thursday 13 October 2016 (Week 11)
When performing a hypothesis test, use = 0:05.
This project must be submitted to your tutor at your tutorial, or to your tutors mailbox at
Level 5, Building H, Caul
eld Campus.
This is an individual assignment.
Make sure the assignment cover sheet is on the top of your assignment.
This project will be marked out of 110 marks and this mark will be converted to a mark out
of 15 for the purpose of establishing a
nal mark for you in this unit.
Your assignment can be hand written and/or typed.
1
Question 1 [4+2+2 = 8 marks]
The EViews work
le q1:wf1 contains the daily VIX index (denoted as index) from 19 May
2006 to 31 July 2007, a total of 300 observations. The VIX index is often known as the fear
index because it measures the S&P 500 market index variability over a 30-day period1.
The variable rt in the EViews work
le is the log returns for the index:
(a) Report the AIC values for each of the following models for rt: AR(1), MA(1) and
ARMA(1,1). Based on the AIC criterion, which model is preferred? Explain.
(b) Estimate the preferred time series model in part (a) and write down the
tted model.
(c) Is the estimated model in part (b) adequate? Explain.
Question 2 [18+18+3+3+10 = 52 marks]
The EViews work
le q2.wf1 contains the monthly 30-year U.S. mortgage rates (mort) from
January 1972 to June 2010.
(a) Using observations from January 1972 to June 2010,
nd an appropriate ARIMA(p,d,q)
model for mortt. Justify your choice.
(b) Using observations from January 1972 to June 2010,
nd an appropriate ARIMA(p,0,q)
model for mortt. Justify your choice.
(c) Re-estimate your preferred ARIMA(p,d,q) model in part (a) from January 1972 to Feb-
ruary 2010. Use EViews to produce forecasts of mortt in the out-of-sample period from
March 2010 to June 2010. Briey comment on the forecast values.
(d) Re-estimate your preferred ARIMA(p,0,q) model in part (b) from January 1972 to
February 2010. Use EViews to produce forecasts of mortt in the out-of-sample period
from March 2010 to June 2010. Briey comment on the forecast values.
(e) Briey discuss whether the ARIMA(p,d,q) model produce better forecasts than the
ARIMA(p,0,q) model.
This question 2 will be mainly marked on the quality of your write-up of why you have
chosen the model that you did. Note that more than one model may
t the data well (and
so there are no right or wrong models). No marks will be allocated for forecast accuracy.
1More details and precise de
nition of the VIX index can be found at http://en.wikipedia.org/wiki/VIX.
Of course, the content of this website is not examinable.
2
Question 3
The EViews work
le q3:wf1 contains monthly U.S. dollars to one Australian dollar exchange
rate2 (denoted as Pt) from January 1975 to August 2016, a total of 500 observations.
Let rt denote the log returns (in percentage) on Pt. As a check, you should have
r2 = 1:3819%; : : : ; r499 = 1:7147% and r500 = 1:3195%:
Let FT = fr2; : : : ; rT g :
PART 1: MA(1) model [1+1+1 = 3 marks]
Consider the MA(1) model for rt:
rt = et + 1et