Financial analysis and modeling

2025/2026

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Finance

Course type:

Compulsory course

When:

1 year, 2 module

Instructor

Churakova, Iya

Course Syllabus

Abstract

This discipline refers to a cycle of special disciplines and a block of disciplines that provide basic training. The study of the discipline "Financial analysis" is based on the following disciplines: Economics of the enterprise; Company valuation Microeconomics; Accounting. For the effective development of this academic discipline, students must have the following knowledge and competencies: know and understand the basics of the enterprise economy; have an idea about the management system at the enterprise; know the basics of business law; know the classification of costs and types of costing.

Learning Objectives

• Learn to make analysis of financial statements, make conclusions upon the financial performance and position of a company
• Analyze financial statements and financial reports of companies of different industries
• Learn how to analyze banking financial state
• Describe and explain essential principles of forecasting financial statements
• Learn how to build pro-forma statements
• Identify and apply various approaches to forecasting of financial statements

Expected Learning Outcomes

• Identify financial strengths, weaknesses and relationships in the position of the company
• Understanding financial risk and its impact on the company's operations
• Understand basic tools of financial management and financial calculations
• Know the importance of detecting fraud in financial statements and other documents related to a company's business life and reputation
• Possess methods of fraud detection based on financial statements (Beneish's M-score, Benford's law, matched time series analysis)
• Know what the financial health of a company is and what components it consists of
• Analyse the financial health of the company, selecting appropriate methods of analysis
• Build models to predict the financial health of a company
• Assessment of the financial position of the company using traditional and modern istruments
• Knowledge of basic algorithms for building and applying financial distress prediction models and the ability to apply them to the performance of a particular company

Course Contents

• Topic 1. Analysis of the financial statements
• Topic 2. Predicting financial distress of companies:indicators and models
• Topic 3. Fraud detection methods
• Topic 4. Financial health of the Company
• Topic 5. Financial modelling

Assessment Elements

• Analysis of the financial statements
• Fraud detection methods
• Predicting financial distress of companies: indicators and models
• Financial health of the Company

Interim Assessment

• 2025/2026 2nd module
  0.1 * Analysis of the financial statements + 0.4 * Financial health of the Company + 0.4 * Fraud detection methods + 0.1 * Predicting financial distress of companies: indicators and models

Bibliography

Recommended Core Bibliography

• Financial Statement Fraud and Financial Stability. (2019). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.A19809A6
• Казакова Н.А., Дун И.Р., Бобкова М.П. - Financial analysis: collection of case studies - НИЦ ИНФРА-М - 2018 - https://znanium.ru/catalog/product/972205 - 972205 - ZNANIUM

Recommended Additional Bibliography

• DeAngelo, H., DeAngelo, L., & Wruck, K. H. (2002). Asset liquidity, debt covenants, and managerial discretion in financial distress:*1: the collapse of L.A. Gear. Journal of Financial Economics, (1), 3. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.jfinec.v64y2002i1p3.34

Authors

• Churakova Iiia Iurevna
• SOLOVEVA EKATERINA EVGENEVNA