MKH_FMAN Financial Management

Faculty of Economics and Administration
Spring 2017
Extent and Intensity
0/0/0. 4 credit(s). Type of Completion: k (colloquium).
Teacher(s)
Mgr. Ing. Milan Sedláček, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Bc. Petr Suchánek, Ph.D.
Department of Business Management – Faculty of Economics and Administration
Contact Person: Vlasta Radová
Supplier department: Department of Business Management – Faculty of Economics and Administration
Timetable
Fri 10. 3. 16:20–19:35 P101, Sat 22. 4. 16:20–19:35 P104, Sat 20. 5. 8:30–11:50 P102
Prerequisites
Corporate Economy, Financial accounting II, Financial management of a company
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course should result in the ability of students to:
- analyse the balance sheet and profit and loss account, know how to compile assessment indicators of a company (in financial terms),
- assemble tens of indicators from various areas of the company,
-know what the alternative costs are and how to calculate them,
-know what the pyramidal analysis is and how it is compiled,
-understand reputable and bankruptcy models and be able to compile them,
-know how to comprehensively assess financial situation and have basic understanding of financial management and decision-making in a company.
Syllabus
  • 1. Introduction to the course, definition of fundamental terms, statements and methods used – defining the content of the course, conditions required to obtain colloquium – What is financial management and financial analysis, their application and limitation.
  • 2. Vertical analysis of balance-sheet and income statement. Students will try this on a model example. They will gain experience by applying their own data: Vertical analysis of balance-sheet (base, time perspective) - Vertical analysis of income statement (base, time perspective) – strengths and weaknesses of both analysis – analysis of cause and effect.
  • 3. Horizontal analysis of balance-sheet and income statement. Students will try this on a model example. They will gain experience by applying their own data: Horizontal analysis of balance-sheet (base, time perspective) – Horizontal analysis of income statement (base, time perspective) – strengths and weaknesses of both analyses – analysis of cause and effect.
  • 4. Ratio indicators (profitability, cash-flow, liquidity). Students will try this on a model example. They will gain experience by applying their own data: - construction of indicators of profitability, cash-flow and liquidity – possible alternative of other constructions, relationships and predictability of indicators. Strengths and weaknesses of indicators - analysis of cause and effect.
  • 5. Ratio indicators (activity, indebtedness and capital market). Students will try this on a model example. They will gain experience by applying their own data: - construction of indicators of activity, indebtedness and capital market – possible alternative of other constructions, relationships and predictability of indicators. Strengths and weaknesses of indicators - analysis of cause and effect.
  • 6. Financial leverage and operating leverage in company. Students will try this on a model example. They will gain experience by applying their own data: - construction of financial leverage and its influence on the effectiveness of company, construction of operating leverage and its influence on the effectiveness of company – possible alternative of other constructions, relationships and predictability of indicators. Strengths and weaknesses of both leverages - analysis of cause and effect.
  • 7. Alternative costs I. Students will try this on a model example. They will gain experience by applying their own data: - definition and dealing with the isue of construction of alternative capital costs – weighted average costs of capital (WACC) and its construction - usage CAPM model in the WACC construction, Strengths and weaknesses of both calculations - analysis of cause and effect 8. Alternative costs II. Students will try this on a model example. They will gain experience by applying their own data: - use of modular formula in the WACC construction – practical demonstration of WACC calculation from modular formula – analysis of differences in calculation from modular formula and from CAPM model, predictability of both calculation - analysis of cause and effect.
  • 9. EVA indicator. Students will try this on a model example. They will gain experience by applying their own data: construction of indicator of the data gained from capital market – construction of indicator from CAPM model, construction of indicator from modular formula – analysis of different construction of indicator and its predictability. Strengths and weaknesses of both constructions - analysis of cause and effect.
  • 10. Pyramidal analysis. Students will try this on a model example. They will gain experience by applying their own data: Du-pont pyramidal analysis – Comparison of various pyramidal analyses and its predictability. Strengths and weaknesses of both constructions - analysis of cause and effect.
  • 11. Synthetical indicators (value models). Students will try this on a model example. They will gain experience by applying their own data: Brief summary of selected value models – strength and weakness analysis of these models – practical calculation of selected value models and their analysis - analysis of cause and effect.
  • 12. Synthetical indicators (bankruptcy models). Students will try this on a model example. They will gain experience by applying their own data: Brief summary of selected bankruptcy models – strength and weakness analysis of these models – practical calculation of selected bankruptcy models and their analysis - analysis of cause and effect.
  • 13. Comprehensive evaluation of a company financial situation. Students will try this on a model example. They will gain experience by applying their own data: - synthesis of methods of financial analysis – financial management – practical demonstration of financial decisions on a selected company – individual reflections of students about analysed companies.
Literature
    required literature
  • SUCHÁNEK, Petr. Finanční management. Vyd. 1. Brno: Masarykova univerzita, 2007, 127 s. ISBN 9788021042773. info
    recommended literature
  • SEDLÁČEK, Jaroslav. Účetní data v rukou manažera : finanční analýza v řízení firmy. 2. doplněné vyd. Brno: Computer Press, 2001, 220 s. ISBN 8072265628. info
  • SUCHÁNEK, Petr. Podnikohospodářská analýza (The analyse of business economy). 2nd ed. Brno: Masarykova univerzita, 2010, 136 pp. ISBN 978-80-210-5412-7. info
Teaching methods
Education proceeds as tutorials where students present fragment of their own work, that it regards discussed issues. Whole POT is praktical financial analysis of chocen company, that students learn to do in practis. Conclusions of their own work students advocated by the colloquium.
Assessment methods
The course takes form of blocks in which students analyse data of a selected company. The results of their analysis will be used at the colloquium, where students will debate the financial situation of the company, its causes and proposed solutions.Any copying, recording or leaking tests, use of unauthorized tools, aids and communication devices, or other disruptions of objectivity of exams (credit tests) will be considered non-compliance with the conditions for course completion as well as a severe violation of the study rules. Consequently, the teacher will finish the exam (credit test) by awarding grade "F" in the Information System, and the Dean will initiate disciplinary proceedings that may result in study termination.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (Spring 2017, recent)
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