BA 406

Course ID:

Course Code & Number

BA 406

Course Title

Market Data Analysis

Level

BS

Credit Hours/ ECTS Credits

(3+0+0) 3 TEDU Credits, 6 ECTS Credits

Year of Study:

Senior

Semester:

Spring

Type of Course:

Elective

Mode of Delivery:

Face-to-face

Language of Instruction:

English

Pre-requisite / Co-requisite:

Catalog Description

Building fundamental understanding and monitoring skills for economic and financial market data. Use of major domestic and international economic and financial market data sources. Assessing international financial structure by analysing sovereign, FX, equity, commodity, and industry market data. Data handling and analysis in MS Excel.

Course Objectives

Bringing real world data and improving data handling skills would accelerate learning as well as closing the gap between the theory and application for students. Establishing a new vein of applied and interactive learning experience is another objective.  Augmenting conceptual background with much valued application, comprising data identification, collection, and problem solving is targeted. Lastly intriguing students for further investigation to help in their respective field of interests in banking/finance.

Software Usage

MS Excel

Course Learning Outcomes

At the end of this course, students will be able to;

1. Learn fundamental international financial indicators for selected markets (sovereign debt market, money markets, banking, FX, commodity) and develop a broader perspective of international economic and financial issues.
2. Develop skills to compile and extract data from data service providers as well as open sources.
3. Conduct basic statistical analysis on financial data. Compare returns, rates and risks. Calculate index series and use the yield curve to infer investor’s expectations about the level of short term interest rates in the future.
4. Gain hands-on experience in Excel and develop Excel skills related to financial tools.
5. Build a bridge between theory and economic and financial facts and observations.

Learning Activities and Teaching Methods:

Telling/Explaining Discussion/Debate Questioning Reading Demonstrating Predict-Observe-Explain Case Study/Scenarion Analysis Oral Presentations/Reports Hands-on Activities Others

Assessment Methods and Criteria:

Test / Exam Others

Assessment Methods and Criteria Others:

Case Study, Problem Assignments

Design Content

Recommended Reading

Required Reading

Grading

Learning Activities and Teaching Methods Others:

Computer Based Activities

Course Coordinator:

Student Workload:

Workload	Hrs
Course Readings	24
Hands-on Work	13
Exams/Quizzes	12
Case Study Analysis	20

Course & Program Learning Outcome Matching: