| School/Faculty/Institute | Faculty of Economics, Administrative and Social Sciences | ||||
| Course Code | FIN 432 | ||||
| Course Title in English | Financial Statement Analysis | ||||
| Course Title in Turkish | Finansal Tablo Analizi | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Advanced | ||||
| Semester | Spring | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 134 hours per semester | ||||
| Number of Credits | 5 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
ACCT 201 - Financial Accounting |
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| Co-requisites |
FIN 202 - Finance |
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| Expected Prior Knowledge | None | ||||
| Registration Restrictions | Only Undergraduate Students | ||||
| Overall Educational Objective | To understand the framework for business analysis and valuation using financial statement data. | ||||
| Course Description | This course aims to develop an ability to analyze financial information as an aid to financial decision making. The emphasis will be on the usefulness of information for various groups, such as investors of the firm, security analysts and creditors. Basic financial statement analysis tools, such as ratio analysis, cross-sectional and time-series analysis, statistical forecasting models will be covered. Part of this course will be devoted to the research and empirical evidence on the impact of financial statement information on asset pricing, efficiency of the capital markets, debt ratings and corporate restructuring. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) extract relevant information from financial statements and other disclosures to see the underlying business activities and strategy; 2) assess firm performance and risk; 3) assess managerial strategic motives in reporting financial information and ways to adjust for such motives 4) forecast firm future performance 5) value the firm or project |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics. | |||||
| 2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics. | |||||
| 3) Displays a sound comprehension of microeconomic and macroeconomic theory. | |||||
| 4) Applies economic concepts to solve complex problems and enhance decision-making capability. | |||||
| 5) Uses quantitative techniques to analyze different economic systems. | |||||
| 6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies. | |||||
| 7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. | |||||
| 8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings. | |||||
| 9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. | |||||
| 10) Exhibits individual and professional ethical behavior and social responsibility. | |||||
| 11) Displays learning skills necessary for further study with a high degree of autonomy |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Has a broad understanding of economics with a deep exposure to other social sciences and mathematics. | S | Participation |
| 2) | Demonstrates knowledge and skills in understanding the interactions of different areas of economics. | S | Participation |
| 3) | Displays a sound comprehension of microeconomic and macroeconomic theory. | S | Participation |
| 4) | Applies economic concepts to solve complex problems and enhance decision-making capability. | N | |
| 5) | Uses quantitative techniques to analyze different economic systems. | N | |
| 6) | Applies theoretical knowledge to analyze issues regarding Turkish and global economies. | N | |
| 7) | Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. | H | Project |
| 8) | Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings. | S | Project |
| 9) | Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. | N | |
| 10) | Exhibits individual and professional ethical behavior and social responsibility. | N | |
| 11) | Displays learning skills necessary for further study with a high degree of autonomy | N |
| Prepared by and Date | SEMEN SON TURAN , May 2023 |
| Course Coordinator | CEYHAN MUTLU |
| Semester | Spring |
| Name of Instructor | Prof. Dr. SEMEN SON TURAN |
| Week | Subject |
| 1) | Course Access and Self Orientation, Framework for Analysis and Valuation |
| 2) | Overview of Financial Statements and Analysis |
| 3) | Financial Reporting and Analysis |
| 4) | Analyzing Financing Activities |
| 5) | 1. Mid-term exam |
| 6) | Analyzing Investing Activities |
| 7) | Analyzing Investing Activities: Intercorporate Investments |
| 8) | Analyzing Operating Activities |
| 9) | Cash Flow Analysis |
| 10) | 2. Mid-term Exam |
| 11) | Return on Invested Capital and Profitability Analysis |
| 12) | Prospective Analysis |
| 13) | Credit Analysis |
| 14) | Equity Analysis and Valuation |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Financial Statement Analysis, 11th Edition, By K. R. Subramanyam, Mc Graw Hill ISBN10: 0078110963 ISBN13: 9780078110962 Copyright: 2014 | ||||||||||||
| Teaching Methods | Lecture (flipped classroom), quiz, participation, exam | ||||||||||||
| Homework and Projects | None | ||||||||||||
| Laboratory Work | None | ||||||||||||
| Computer Use | Personal Notebook | ||||||||||||
| Other Activities | None | ||||||||||||
| Assessment Methods |
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| Course Administration |
sons@mef.edu.tr In this course, active participation is key to learning and applying. Thus the grading of the class participation will be done based on the quality of active student participation and contribution to in-class activities. Students are expected to attend all sessions and be in class on time. When they can not attend due to a sickness (which should require a report from a full facility hospital) or an excuse accepted my MEF regulations, they should inform the instructors by mail. As the feedback and questions are very valuable for making the course a distinctive learning experience, students may visit the instructors during office hours or send e mails, for any course related issues. Academic dishonesty and plagiarism will be subject to the YÖK disciplinary regulation. |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 3 | 2 | 98 | ||
| Project | 1 | 12 | 2 | 14 | |||
| Midterm(s) | 2 | 9 | 2 | 22 | |||
| Total Workload | 134 | ||||||
| Total Workload/25 | 5.4 | ||||||
| ECTS | 5 | ||||||