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| Prerequisites for Module None in addition to SCQF 11 entry requirement or equivalent. Corequisite Modules None. Precluded Modules None. Aims of Module To provide students with the quantative skills required to effectively analyse financial problems. Learning Outcomes for Module On completion of this module, students are expected to be able to:
Indicative Module Content Present value, future value and interest rate mathematics, data presentation and descriptive statistics, probability distributions and asset returns, statistical inference techniques, ANOVA, MANOVA, regression analysis, basic time series analysis, principal components and factor analysis, limited dependent variable analysis. Throughout the module the students will be given training in, and make extensive use of, DATASTREAM. | Indicative Student Workload
Mode of Delivery This is a lecture based course supplemented with tutorials/workshops and directed study. Assessment Plan
Component 1 (40% weighting) is a closed book class test. Component 2 (60% weighting) is an examination. Indicative Bibliography
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