Faculty of Technical Sciences

Subject: Enterprise Portfolio Management (17.IM2413)

Native organizations units: Department of Industrial Engineering and Engineering Management, Chair of Production Systems, Organization and Management
General information:
 
Category Professional-applicative
Scientific or art field
  • Menadžment i investicije u inženjerstvu
  • Proizvodni i uslužni sistemi, organizacija i menadžment
ECTS 4

The objective of the course is to enable students to understand the conceptual and methodological basics of enterprise portfolio management with a particular emphasis on the investment portfolio as well as acquiring research oriented knowledge of the academic level in the subject field.

After the course, students will be able to use the acquired knowledge in professional work and further professional development. Students will acquire knowledge in the field of optimization and creation of optimal investment portfolio, its maximum efficiency and utility while minimizing costs.

Portfolio definition and characteristics; Theoretical and practical approach to the portfolio; Portfolio as an independent and dependent investment variable; Analysis of interdependence and conditionality; Portfolio theory; Portfolio management; Portfolio value analysis; Formal risk assessment of the portfolio; Portfolio risk management instruments; Portfolio effect; Creating an efficient portfolio; CAPM model; Arbitrage pricing theory; Technical analysis; Career in the field of investments; Creating and managing portfolio; Portfolio risk and return assessment.

Lectures. Labs. Consultations.

Authors Title Year Publisher Language
Reilly, F.K., Brown, K.C. Investment Analysis and Portfolio Management; 10th ed. 2011 South-Western, Cengage Learning English
Strong, R.A. Portfolio Construction, Management, and Protection 2003 Thomson South-Western, Ohio English
Course activity Pre-examination Obligations Number of points
Lecture attendance Yes Yes 5.00
Oral part of the exam No Yes 50.00
Computer exercise attendance Yes Yes 5.00
Project Yes Yes 40.00
API Image

Prof. Đaković Vladimir

Full Professor

Lectures
API Image

Prof. Đaković Vladimir

Full Professor

Computational classes

Assistant - Master Todorović Tanja

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.