Financial Statement Analysis (5 cr)

Evaluation scale

H-5

Schedule

- Lessons on Wednesdays at 12.00 - 16.00, starting 27th January. / Senior Lecturer Heli Kortesalmi, Haaga-Helia
- During intensive week mon 21.-24.3. at 12-16 lectures will be given by visitor Professor Mario Nicoliello from Università di Pisa | UNIPI · Department of Economics and Management / Italy. These lessons are OBLIGATORY.

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 CONTACT implementation, and it is assumed that student participate the contact sessions.
- During intensive week mon 21.-24.3. at 12-16 lectures will be given by visitor Professor Mario Nicoliello from Università di Pisa | UNIPI · Department of Economics and Management / Italy. These lessons are OBLIGATORY.

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

Course will be assessed based on assignments or smaller exams.

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

Completion alternatives

In case you already can do financial analysis and statistics, please contact Heli Kortesalmi for RPL.

Learning assignments

Planned assignments - might change
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%

Assessment methods

Planned assignments - might change
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%