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Required and optional parts of the exam paper

(at least 8-10 pages of pure text without tables and figures)

1)
Checking normality for marginal distributions for daily and weekly returns (V.G. will provide the software).
2)
Checking multivariate normality using Moore and Stubblebine (1981) generalization of Chernoff-Lehmann’s approach.
3)
(Optional for 10 additional points) Checking normality using formula (2.9) of Moore and Stubblebine (1981).
4)
Multivariate regression analysis for your own hypotheses taking into account possible time-dependence of regression parameters (SPSS can be used).
5)
Factor analysis including possible dependence on time (SPSS can be used).
6)
(Optional) Principle components analysis (you may use STATA).
7)
(Optional) ARIMA models and prediction (see folder “Short Term Forecasting”) using SPSS.
8)
Any other statistical techniques on your choice.
9)
Thorough analysis of your results with possible recommendations (at least half of a page).
10)

References.