Магистратура
2026/2027
Количественные методы в экономике и финансах
Статус:
Курс обязательный (Финансы)
Кто читает:
Банковский институт
Где читается:
Банковский институт
Когда читается:
1-й курс, 1, 2 модуль
Онлайн-часы:
20
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
6
Контактные часы:
18
Course Syllabus
Abstract
No financial analysis is possible without use of quantitative methods, and mastering them is crucial to be able to keep focus on economic background of the problem rather than technicalities. Selection of efficient quantitative techniques, performance of correct calculations, and provision of adequate economic interpretation of the results, all are integral parts of investment decision-making process, both in corporate finance and at financial markets.The program presents the fundamentals of some quantitative techniques essential in financial analysis which would be further applied in many parts of the Financial Analyst program, including Corporate Finance, Financial Markets: Equities and Debt, Portfolio Management, Forecasting in Economics and Finance, Business Valuation, Venture Capital, Risk Management.The first part of the program covers the time value of money concepts and quantitative techniques applied in decision-making process in corporate finance and valuation of various financial instruments (stocks, bonds etc.), as well as probability approach to financial data analysis (risk, return etc.).The second part introduces statistical approach to financial analysis and decision-making, including estimation of investment risk and returns, testing related hypotheses and economic interpretation of the test results.The program is based on Chartered Financial Analyst (CFA) curriculum.
Learning Objectives
- The course aims to provide students the quantitative skills, which are value to financial analysts in both an academic and vocational setting. In particular the course has the following objectives: • to give students a comprehensive understanding of time value of money, probability, statistical, sampling, estimation and hypothesis testing concepts; • to develop students’ ability to apply quantitative techniques to the real-world economic cases; • to provide students with the ability to identify issues and assumptions underlying quantitative analysis.
Expected Learning Outcomes
- understand and apply the probability tools needed to frame and address many real-world problems involving risk;
- understand probability distributions and perform their investment uses;
- understand the framework of hypothesis testing and make judgements about the population in the basis of a sample analysis.
- solve time value of money problems and use it applications in equity, fixed income, and derivatives analysis
- use statistical methods as a powerful set of tools for analyzing data and draw conclusions
- apply sampling and use sample information to estimate the population parameters
- to solve time value of money problems and use it applications in equity, fixed income, and derivatives analysis;
- to use statistical methods as a powerful set of tools for analyzing data and draw conclusions;
- to understand and to apply the probability tools needed to frame and address many real-world problems involving risk;
- to understand probability distributions and perform their investment uses;
- to apply sampling and use sample information to estimate the population parameters;
- to understand the framework of hypothesis testing and make judgements about the population in the basis of a sample analysis.
Course Contents
- Week 1-2, Chapter 1
- Week 3, Chapter 2
- Week 4-5, Chapter 3: Probability concepts, portfolio expected return and variance of return
- Week 6, Chapter 4: Common probability distributions
- Week 7, Chapter 5: Sampling and estimation
- Week 8, Chapter 6: Hypothesis testing
- Week 9
- Week 1-3
- Week 4
- Week 5-6
- Week 7
- Week 8
Assessment Elements
- Test Average
- Train. ProjectTraining and final projects are to be done in teams of 3-5 students.
- Fin. ProjectTraining and final projects are to be done in teams of 3-5 students.
Interim Assessment
- 2026/2027 2nd moduleBasic Level Grade=0.45×Test Average+0.1×Train.Project+0.29×Fin.Project All grades in the formula are measured from 0 to 100. Training and final projects are to be done in teams of 3-5 students. Basic level grade is bounded above by 84 points which is enough to get 8 out of 10 for the course. Top-10% students of the course have an option to gain extra points. Once the take the option, their Basic Level Grade is reduced by 20 points, after that they can earn points back and more by solving personal task and oral interview. So, their total score is in between (Basic Level Grade – 20) and 100. If a student missed deadline for a weekly test, that test can be retaken during the final week of the course with 40% fine. No retakes for team projects or tests submitted in time.
Bibliography
Recommended Core Bibliography
- 9781265652463 - Richard A. Brealey, Stewart C. Myers, Franklin Allen et al - Principles of Corporate Finance, 14th ed. - 2022 - McGraw-Hills - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3242150 - nlebk - 3242150
- Richard A. DeFusco, Dennis W. McLeavey, Jerald E. Pinto, & David E. Runkle. (2007). Quantitative Investment Analysis: Vol. 2nd ed. Wiley.
Recommended Additional Bibliography
- Frank J. Fabozzi, Sergio M. Focardi, & Petter N. Kolm. (2010). Quantitative Equity Investing : Techniques and Strategies. Wiley.
- Richard Brealey, Stewart Myers, & Franklin Allen. (2020). ISE EBook Online Access for Principles of Corporate Finance: Vol. Thirteenth edition. McGraw-Hill Education.