Try Online Courses
We invite you to get ready for the new academic year and gain new knowledge. Use the special code ‘ХОЧУВВЫШКУ’ (‘I want to study at HSE’) to get free access to the track: Quantitative Finance.
Language of instruction: English.
What will you learn?
You will learn the basics necessary for the quantitative analysis of financial indicators. Starting with the basic concepts of the time value of money and descriptive statistics, you will dive into the theory and practice of econometric models based on real data. In the final part of the online course, you will be able to develop your own financial model.
What skills will you gain?
- Working with real data using Excel and RStudio
- Calculation of cash flows and descriptive indicators of profitability
- Cross-data analysis of different firms
- Ability to choose the most effective evaluation models
- CAPM evaluation
The Quantitative Finance course lets you try out the role of a financial analyst with real tasks that company employees solve every day.
The programme covers the time value of money and the quantitative techniques applied in the decision-making process in corporate finance and the valuation of various financial instruments (stocks, bonds etc).
Instructor: Ayana Shelike
- solve time value of money problems and use it applications in equity/fixed income/derivatives analysis
- use methods of descriptive statistics as powerful tools to analyse financial data and draw conclusions
In this online course, you will learn how to build a financial model for your project along with all the reports and ratios used in project finance. The goal of the course is to provide practical skills in financial modelling for investment projects by examining best practices and having students work on their own projects.
Instructor: Dmitry Ryabykh
The course builds essential skills necessary for economic, business and financial analysis. After the course, you will be able to perform your own economic data analysis based on an understanding of econometric tools. You will learn how to apply these tools and methods to various topics in your research and prevent and overcome the kinds of problems that can arise in real data analysis.
Instructor: Elena Semerikova
- Instrumental Variables
- Regression Analysis