Postgraduate

Modules

Modules

NBS8003 : Financial Information Analysis

Semesters
Semester 1 Credit Value: 10
Semester 2 Credit Value: 10
ECTS Credits: 10.0

Aims

1. To introduce students to the application of advanced financial evaluation analysis
2. To critically evaluate company projects and performance with the advanced models of financial information analysis

Outline Of Syllabus

1st semester
Market Efficiency: concepts, tests and empirical evidence
Market Anomalies
Behavioural Finance
Advanced Evaluation I (static approach): profitability Index, sensitivity tests, scenario analysis, breakeven point analysis
Advanced Evaluation II (dynamic approach): flexibility value, decision tree analysis and real option analysis
Advanced Evaluation III: strategic value, game theory

2nd semester
Drivers of profitability
Economic value added
Earnings forecast
Creditworthiness assessment

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture182:0036:00N/A
Guided Independent StudyAssessment preparation and completion160:0060:00N/A
Guided Independent StudyDirected research and reading150:0050:00N/A
Scheduled Learning And Teaching ActivitiesDrop-in/surgery41:004:00N/A
Guided Independent StudyIndependent study150:0050:00N/A
Total200:00
Teaching Rationale And Relationship

Thirty-six hours of lectures are used to impact knowledge and understanding of this module. Four-hour drop-in sessions scheduled during revision period will help with examination preparation.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1802A100N/A
Formative Assessments
Description Semester When Set Comment
Written exercise2MMock exam
Prof skill assessmnt1MIn-class/after-class exercises
Prob solv exercises2MIn-class/after-class exercises
Assessment Rationale And Relationship

The formal examination tests the understanding of theoretical ideas underpinning the analysis of financial data as well as some skills - for example, problem solving, written communication and numeracy.

Reading Lists

Timetable