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Regular version of the site

Investment Analysis (Advanced Level)

2022/2023
Academic Year
ENG
Instruction in English
3
ECTS credits
Course type:
Elective course
When:
2 year, 2 module

Instructor

Course Syllabus

Abstract

The course deals with the asset allocation process and focuses on questions concerning the price predictability on financial markets. Prerequisites: "Basic finance: asset classes", "Factor models", "Basic econometrics"
Learning Objectives

Learning Objectives

  • The purposes of the course "Investment Analysis (advanced level)" are the following: 1. To give the masters the conceptual foundations of investment analysis, basic principles and ideas about evaluating the effectiveness of commercial investments; 2. To form a system of theoretical and practical knowledge and skills in the field of business valuation. The objectives of the discipline are: 1. To study theoretical and practical foundations of investment assessment of a business; 2. To develop methods and technologies for investment analysis in theory and practice; 3. To master the skills of analysis of investment efficiency and business value based on the assessment of capital investments made; 4. To master the practice of econometric calculations necessary for analysis investment efficiency and business valuation; 5. To analyse of existing and the creation of new directions for the development of entrepreneurial activities based on analysis of investment performance and business valuation.
Expected Learning Outcomes

Expected Learning Outcomes

  • Knowing the steps of the asset allocation process, understanding the discussion on market efficiency and price predictability, its reasons and consequences.
Course Contents

Course Contents

  • The asset allocation process
  • Strategic asset allocation: mean variance optimization revisited
  • Technical analysis: is it profitable?
  • Tactical asset allocation: can professionals time the market?
  • Price anomalies, especially price momentum
  • Behavioural finance I: Limits to arbitrage
  • Behavioural finance II: Noise traders and their impact
  • Cognitive biases, prospect theory, adaptive market hypothesis
  • Cointegration (methodology) and bubbles
  • Market microstructure and price predictability
Assessment Elements

Assessment Elements

  • non-blocking Final Exam
    This assignment should be done individually. You will have 80 minutes to complete the Final Exam. Turning it in earlier is allowed, too late (more than 10 minutes of delay) means a zero grade for the Final Exam. The pdf file should be named: Exam_AIA_NAME_Year.pdf
  • non-blocking Written Assignment
    This is 60 minutes in-class team work (in Online session rooms). Submit your answer report of maximum 10 pages (Times New Roman 11 points, 1.5 lines) to the LMS (Before the hour of assignment you have to tell names of your teammates to create a group project in LMS, otherwise submission is impossible).
  • non-blocking Report/Presentation Project
    This is your home prepared group report on a specified topic. The presentation should be within 15-20 minutes and every member of the group should participate. The report should include: 1) the theoretical part (2-3 pages essay in Times New Roman 11 points, 1.5 lines) 2) one practical case with calculations 3) Summary / conclusions You have to work together within the group for which you have signed up, but do not copy and paste from other groups. If we find this, it means zero points.
  • non-blocking In-class Activity
    For this course: Attend 70% of classes (practical sessions) Making tests and easy in-class tasks Work in groups Answer questions and get involved to topic discussions
Interim Assessment

Interim Assessment

  • 2022/2023 2nd module
    0.2 * Report/Presentation Project + 0.1 * In-class Activity + 0.4 * Final Exam + 0.3 * Written Assignment
Bibliography

Bibliography

Recommended Core Bibliography

  • Michael Frömmel. (2016). Finance 1: Portfolio Theory and Management. Books on Demand.

Recommended Additional Bibliography

  • DeFusco, R. A., McLeavey, D. W., Pinto, J. E., & Runkle, D. E. (2015). Quantitative Investment Analysis (Vol. Third edition). Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1082450