Financial Statement Analysis (5cr)
Code: ACC3LF103-3017
Basic information of implementation
- Enrollment
 - 12.06.2023 - 18.08.2023
 - Enrolment for the implementation has ended.
 
- Timing
 - 21.08.2023 - 15.12.2023
 - Implementation has ended.
 
- ECTS Credits
 - 5 cr
 
- Campus
 - Pasila Campus
 
- Teaching languages
 - English
 
- Seats
 - 15 - 60
 
- Degree programmes
 - GLOBBA Degree Programme in International Business
 
- Teachers
 - Mika Mustikainen
 
- Groups
 - 
                        LF4PACCLF4PACC GLOBBA ASO-ryhmä, ACC, päivä
 - 
                        VIRTUALVirtual implementation
 - 
                        INSTRUCTEDInstructed virtual implementation
 - 
                        EXCHEXCH Exchange students
 
- Course
 - ACC3LF103
 
Evaluation scale
H-5
                    
Schedule
Course is virtual so no contact sessions.
Schedule: 
Cal. week	Topic	Teacher, assignment deadline
34, 23.-29.8.	Introduction to financial analysis, analysing and adjusting financial statements. Review of topic related thesis in finance and accounting. 	Heli
35, 30.8.-5.9.	Creating an index series, inflated series. Descriptive statistics. Moving average.	Heli
36, 6.-12.9.	Independent work on assignment 1	DL 12.9.
37, 13.-19.9.	Assignment 1 feedback, Ratio analysis Profitability, liquidity and solvency	Heli
38, 20.-26.9.	Independent work on assignment 2	DL 3.10.
39, 27.9.-3.10.	Assignment 2 feedback, Data classification and analysis	Heli
40, 4.-10.10.	Independent work on assignment 3	Heli
41, 11.-17.10.	Assignment 3 feedback, Market based ratios	DL 17.10.
42, 18.-24.10	Intensive week – no class 	Mika
43, 25.-31.10	Cash flow statement	Mika
44, 1.-7.11.	Independent work on assignment 4	DL 7.11.
45, 8.-14.11.	Assignment 4 feedback, Correlation and regression analysis.	Mika
46, 15.-21.11.	Probabilities. Normal distribution. Statistical inference. Hypothesis testing. 	Mika
47, 22.-28.11.	Independent work on assignment 5	DL 28.11.
48, 29.11.-5.12.	Assignment 5 feedback. Course feedback and ending session.	Mika
(in this course it is not possible to get extensions for the deadlines.)
                    
Implementation methods, demonstration and Work&Study
Contact and distant sessions or virtual course or Work&Study.
                    
Materials
Material available in Moodle
Chapters related Financials Statement Analysis in the following course books:
Financial Accounting, International Financial Reporting Standards (Harrison, Horngren, Thomas, Suwardy), Pearson
Financial Accounting, Financial Statement Analysis (Kemp, Waybright), corresponding chapters for Financial Statement Analysis
                    
Teaching methods and instruction
- this is a fully virtual implementation, where capabilities of self-studies and self management is needed.
                    
Working life connections
-Examples and exercises are business related
-During the course students will analyze companies of their interest and build understanding of companies' financial health
                    
Exam dates and re-exam possibilities
No exam in this implementation. Please make sure you good work with the assignments as course grade is an average of them. Once you have completed 3/5 assignments and got a grade from them, you have passed the course. If you target for better grade, please do all assignments.
                    
Internationality
- Assignments relate to international companies analysis
- Companies under analysis are operating under internaltional financial records and standards (IFRS)
- Project work relates to international companies ratings
- Multicultural companies involved and multicultural teams
                    
Learning assignments
Learning assignment 1: Financial statement perspectives 20 %
Learning assignment 2: Financial ratios 20 %
Learning assignment 3: Data classification and analysis 20%
Learning assignment 4: Market based ratios and cash flow statement 20%
Learning assignment 5: Statistical analysis 20%
Once you have submitted tree assignments and got a passing grade, you will get a grade for this course and it will not be removed. If you want better grade, then do all of the assignments!
                    
Assessment methods
Learning assignment 1: Financial statement perspectives 20 %
Learning assignment 2: Financial ratios 20 %
Learning assignment 3: Data classification and analysis 20%
Learning assignment 4: Market based ratios and cash flow statement 20%
Learning assignment 5: Statistical analysis 20%
Once you have submitted tree assignments and got a passing grade, you will get a grade for this course and it will not be removed. If you want better grade, then do all of the assignments!