|
论文题目：SUMMATIVE ASSIGNMENT
论文语种：英文
您的研究方向：
是否有数据处理要求：是
您的国家：英国
您的学校背景：
要求字数：3000以上
论文用途：硕士课程论文 Master Assignment
是否需要盲审（博士或硕士生有这个需要）：
补充要求和说明： [email protected](1455780998)
SUMMATIVE ASSIGNMENT
Question 1
a) The probability that a person has a certain disease is 0.03. Medical diagnostic tests are available to determine whether the person actually has the disease. If the disease is actually present, the probability that the medical diagnostic test will give a positive result (indicating that the disease is present) is 0.90. If the disease is not present, the probability of a positive test result (indicating that the disease is present) is 0.02. Suppose that the medical diagnostic test has given a positive result (indicating that the disease is present). What is the probability that the disease is actually present? What is the probability of a positive test result?
(8 marks)
b) A study showed that in 2004 only 24 percent of UK income earners aged 15 and older invested directly in stocks. If a random sample of 20 UK income earners aged 15 and older is selected, what is the probability that:
i) all 20 invest in stocks?
ii) no more than 15 invest in stocks?
iii) more than 10 invest in stocks?
iv) what assumptions did you have to make to answer i) – iii)?
(7 marks)
c) A random sample of 172 accounting students was asked to rate on a scale from one (not important) to five (extremely important) starting salary as a job characteristic. The sample mean rating was 3.31 and the sample standard deviation was 0.70. Test at the 1 percent significance level the null hypothesis that the population mean rating is at most 3.0 against the alternative that it is bigger than 3.0
(5 marks)
Question 2
In the file QUESTION2.xls each of you has been allocated the monthly time series of the closing prices of the DataStream-calculated Swiss market index (SMI) as well as one of its current constituent stocks for the January 2000 – December 2007 period (96 monthly observations).
a) Obtain descriptive statistics on the time series of log-differenced returns for both the SMI as well as the selected stock and comment on them.
(5 marks)
b) Using the single-factor Capital Asset Pricing Model#p#分页标题#e#
Ri,t = a + β(Rm,t – Rf,t) + εi,t,
where Ri,t is the return on the selected stock, Rf,t is the 3-month Swiss interbank rate and Rm,t is the return on the SMI:
i) obtain estimates for the a and β coefficients; discuss and interpret these results
ii) provide a definition of multicollinearity, heteroscedasticity and autocorrelation biases, their sources and implications and propose possible remedies for them
iii) investigate whether any of the above biases are present in your model, using suitable econometric tests where appropriate. If any of the above biases appear in your model try to correct for it using one of the remedies you discussed in ii)
(20 marks)
c) We now extend the Capital Asset Pricing Model by including the Size (SML), Book-To-Market (HML) and Momentum (MOM) variables in its construction according to Carhart (1997), such that it now becomes:
Ri,t = a + β(Rm,t – Rf,t) + γSMLi,t + δHMLi,t +λMOMi,t + ui,t
On the basis of the above information:
a) obtain estimates for the a, β, γ, δ and λ coefficients; discuss and interpret these results
b) evaluate whether any of the aforementioned three biases (multicollinearity, heteroscedasticity, autocorrelation) appear in your results. If so, apply relevant remedial measures you presented in b) above
(20 marks)
Question 3
In the file QUESTION3.xls you have the daily closing prices of the selected stock in Question 2. Given that data:
i) test for the stationarity of the time series of closing prices and then test for stationarity of the log-first-difference (returns) of the series and compare the results (you are expected to use an appropriate number of lags in any ADF testing you undertake)
(15 marks)
ii) identify an autoregressive moving average model for the returns series; critically disc uss the choice of your model with reference to the criteria that prompted you to select it
(15 marks)
iii) estimate the model and check whether it is a reasonable fit to the data
(5 marks)
MARKING GUIDELINES
Performance in the summative assessment for this module is judged against the following criteria:
• Relevance to question
• Structure/presentation & clarity of writing
• Scope & relevance of literature review
• Rigour of argument
• Evidence of understanding
• Conclusions/Recommendations
Overall word limit 3,000 words maximum
|
