– Data is attached here, including excess returns of the ETFs as well as the performance of the factor portfolios, e.g., SMB and HML.
– Run regressions to find the factor loadings, that is, the sensitivity or exposure of these ETFs to these non-diversifiable risks.
– Create a Word document ,which you:
- rank the ETFs for each factor from high to low,
- include a brief research about the objective of the fund, and
- a discussion if your results from Fama-French confirm this objective.
Class Exercise 3/Worksheet 3
- State one of the two major hypotheses the epidemiological study was testing.
- How many study subjects were recruited for the study?
- Do you see any differences between the high and low exposure groups participating in the study? Use age and BMI to explore the data from the SPSS file.
- Do you see any differences in neurobehavioral functions between the high and low exposure groups participating in the study? Use data for any two tests from the SPSS file.
- When our sample of 50 adolescent children were followed-up after 3 years of the initial data collection to collect new data regarding intellectual disability the study became:
- A case-control study
- An experimental study
- A cohort study
- Is there an association between child abuse and suicide attempts among chemically dependent (e.g. drugs or alcohol) adolescents using the data presented in the following 2×2 table? Interpret the RR.
RR= (A/(A+B)) / (C/(C+D))
- Using your own SPSS dataset calculate if there is an association between arsenic exposure in childhood and post-adolescence intellectual disability among the study participants.
- Calculate RR
- Interpret your findings.
- What are the potential confounding variables that can affect the association between arsenic exposure in childhood and post-adolescence intellectual disability? Mention any two and justify.
- Have you understood the crossover study design (see the lecture slides on experimental studies)?
- Yes
- No
- In a sentence state why, the researchers followed a crossover design.


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