This Specialization is part of HSE University Master of Finance degree program. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. The Quantitative Finance Specialization provides fundamentals for quantitative analysis of financial data. Starting from the basic concepts of time value of money and descriptive statistics, you will dive into theory and practice of econometric models on real data. To make it more beneficial for your CV, you will complete the specialization by developing your own financial model.
Overview
Syllabus
Course 1: Quantitative Methods in Finance
- Offered by HSE University. Program covers the time value of money concepts and quantitative techniques applied in decision-making process in ... Enroll for free.
Course 2: Econometrics
- Offered by HSE University. This course is part of HSE University Master of Business Analytics and Master of Finance degree programs. Learn ... Enroll for free.
Course 3: Financial Modeling
- Offered by HSE University. Long-term projects require a thorough analysis, negotiations with investors, lenders, and partners. The financial ... Enroll for free.
- Offered by HSE University. Program covers the time value of money concepts and quantitative techniques applied in decision-making process in ... Enroll for free.
Course 2: Econometrics
- Offered by HSE University. This course is part of HSE University Master of Business Analytics and Master of Finance degree programs. Learn ... Enroll for free.
Course 3: Financial Modeling
- Offered by HSE University. Long-term projects require a thorough analysis, negotiations with investors, lenders, and partners. The financial ... Enroll for free.
Courses
-
Long-term projects require a thorough analysis, negotiations with investors, lenders, and partners. The financial model in MS Excel is the most important tool for planning, structuring, and analysis of a project. Here you pull up and summarize all available information on your expectations and forecast. Quality of your model defines the precision of your decisions and your ability to convince the other participants of the project.
In this online-course you will learn how to build for your project a financial model with all reports and ratios that used in project finance. We will go through the path from a blank Excel workbook, discuss the best practice for financial modeling, dig into technical and financial aspects of the methods and ratios that we use in the model. Within the course we will work with a typical project finance model, but this model has a wide range of possible applications. The same structure and principles could be used for any project to create a new business, launch a product or for venture investments. You will see that the approach we use is universal and the model we build in the course can be your template for many future projects.
The course is aimed at students with some experience in Excel. We will not be learning the basics of spreadsheets or MS Excel interface, but all special functions and services will be presented and explained before we use them in our model. All stages the development of the model will be supplemented with Excel files, so by the end of the course you will have both new skills and ready professional financial models. During the last week of the course you will develop your capstone project – your own financial model.
After the HSE course, students will have necessary knowledge and skills to build a fully-fledged financial model for a project or a company. The model can be used to support investment decisions, raise capital or apply for debt financing
The course consists of short video lectures, 7 to 12 minutes long, with embedded non-graded questions. Each week there will be a graded test, a and a final exam – capstone project. Students will choose a real or fictious project, collect necessary data and build a model from a template provided here. Finally, you will be required to submit your model for peer evaluation. It gives them a taste of what financial analysts go through in real life when developing a financial model.
The goal of the course is to provide practical skills in financial modelling of investment projects by discussing best practice with the teacher as well as students work on their own projects.
Students’ performance is evaluated on a 10-point mark scale as follows:
10 points - Distinguished performance
8-9 points - Excellent performance
6-7 points - Good performance
4-5 points - Satisfactory performance
0-3 points - Fail
The rounding of the definitive performance grade is conducted in accordance with the standard mathematical rounding rules. The rounding of the intermediate grades is not conducted to avoid the rounding bias.
The instructors use traditional methods of instruction by providing well-structured reading during contact hours with a lot of illustrations, problems and real case studies and discussing the materials. -
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.).
The program is based on Chartered Financial Analyst (CFA) curriculum.
This Course is part of HSE University Master of Finance degree program. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program here https://inlnk.ru/WRM4O. -
This course is part of HSE University Master of Business Analytics and Master of Finance degree programs. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program here (Master of Business Analytics) and here https://inlnk.ru/WRM4O (Quantitative Finance)
The course builds essential skills necessary for economic, business or financial analysis. The purpose of the course is to give students solid and extended skills in both econometric tools and their application to contemporary economic problems. We will learn both theoretical foundations and practical aspects of the main econometric topics: ordinary least squares as a core approach of linear regression analysis, the choice of the model specification, dealing with main problems of econometric analysis such as multicollinearity, heteroscedasticity, autocorrelation and endogeneity.
After the course, you will be able to perform your own economic data analysis based on the understanding of described econometrics tools. You will learn how to apply the indicated tools and methods to various topics of your research and how to prevent and overcome problems, which can arise in real data analysis.
Taught by
Ayana Shelike, Dmitry Ryabykh and Elena Semerikova