Course detail

Investment Decision-Making Methodology

FP-PmirPAcad. year: 2018/2019

The course concentrates particularly on the following topics:

" Ad hoc identification of meaningful compromises among the most important goals as profit, risk and liquidity
" Interpretation of formal tools (e.g. methods of operational research) studied in the course of previous study into a form suitable for solving investment-related tasks
" Interpretation of available information into a form which allows its formalisation
" Solution of Investments-related tasks

Learning outcomes of the course unit

Student must be able to clearly specify basic steps and have, at least, elementary understanding of the very nature of required data and of the consequences of his/her decisions. Important aspect is the inevitable complexity of a decision. Predictions as the very basic investment-related task. Description of the basic types of investments. Description of goal functions used to evaluate investments, risk, profit, and liquidity. Brief description of characteristics of different types of investments and their evaluations in relation with trade offs

Prerequisites

The following skills and knowledge are the very basics - high school level (geometry), university level (ability to for a set of linear equations and linear programming, elementary knowledge of statistics). Elementary knowledge of fuzzy logic is desirable (definition of a fuzzy set, intersection and union of fuzzy sets, a conditional statement). Time series, elementary understanding of numerical data filtration

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Raclife, R. C. Investment: Concepts, Analysis, Strategy, Harper Collins College Publishers, 1994 (EN)
Dohnal, M., Kučerová, V. Metody investičního rozhodování, CERM, Brno, 2005, ISBN 80-214-3133-4 (CS)

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.

Assesment methods and criteria linked to learning outcomes

A student can be awarded a course-unit credit if he/she achieves at least 10 points out of max 20 points. Points are granted according to the evaluation of the results in written tests. These tests will be specified at the very beginning of the semester.

The first exam is based on a written test only. A student fails is he/she does not reach the limit 50 points out of 100. The second exam is written and / or oral.

Language of instruction

Czech

Work placements

Not applicable.

Course curriculum

The course is divided into the following parts according to their topics:

" Unsteady state behaviours of a complex stream of investments / money in a complex systems with many sub systems, which are mutually interconnected into an oriented graph. An oriented arc represents either continuous or discontinuous money transfers. A detailed study of a simplified problem in steady state with a mathematical model represented by a set of linear equations.

" Analysis of the very basic investment compromises i.e. a good (meaningful) compromise between risk and profit within an information poor environment where a significant shortage of data is made more complex by vagueness of available data. Such compromises are studied as a multicriterial one and addition criteria e.g. liquidity can be additionally attached.

" A specification of a decision tree based on disintegration of ad hoc decision processes into a set of decisions and set of lotteries with specific emphasis placed on long term investments under conditions of high risks.

" Investments into knowledge economy represented by hi tech companies

Aims

The main goal of the course is to integrate the knowledge gained in the course of whole university study, especially in mathematics, statistics, operational research, finance, micro and macroeconomics, for solution of investment-related tasks. The emphasis is placed on 1) formalisation of specific tasks and their consecutive computer-aided solution 2) Interpretations of available, mostly very vague, pieces of information.

Specification of controlled education, way of implementation and compensation for absences

Evaluation of the written tutorial results

Classification of course in study plans

  • Programme MGR Master's

    branch MGR-PFO , 1. year of study, winter semester, 4 credits, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

seminars

13 hours, compulsory

Teacher / Lecturer