Quantitative Finance (Polytech - City, University of London)

Summer School - On-site
July 26 - August 6, 2021

The summer course will be held only on-site. Participation is available only for citizens of 29 countries that Russia resumed international air and railway service with:

the United Kingdom, Tanzania, Turkey, Switzerland, Egypt, Maldives, the United Arab Emirates, Kazakhstan, Kyrgyzstan, Republic of Korea, Cuba, Serbia, Japan, the Seychelles, Ethiopia, Vietnam, India, Qatar, Finland, Azerbaijan, Armenia, Greece, Singapore, Venezuela, Germany, Syria, Tajikistan, Uzbekistan, Sri Lanka.

The list is regularly updated according to the amending documents of the decree of the Government of the Russian Federation dated 16.03.2020 №635-r.

 

Do you manage money or money manage you? Choose the right side and join our summer school!

Are you ambitious to pursue a career in finance sphere? As a student on the Summer School course you’ll be able to expand your experience, enhance your qualifications and get necessary skills in the framework of society digitalization.

Why should you choose this course? You will have knowledge in the field of asset and risk management; experience in financial modeling using various software tools; interpretation of available information and making informed decisions in the field of management and analytics.

Quantitative Finance
Quantitative Finance

Our intensive modules are designed to boost your skills in specific areas of finance, with modules appropriate for current undergraduate students, prospective MSc students and those already working in industry.

The course combines theoretical and practical blocks, including team working, discussions and cases.

Theoretical blockPortfolio Theory and Asset ManagementDr Natasha Todorovic, Senior Lecturer in Investment Management, City, University of London
Practical block (block to choose)Matlab programming for financeDr Dirk Nitzsche, Senior Lecturer in Finance, Course Director for the Quants Masters Programmes, Associate Dean for International Relations, City, University of London
Applied Financial econometricsDr Anton Tichomirov, Expert in Financial Markets and risk Management, Associate Professor of SpbPU; Angi Skhvediani, Expert in econometrics, Leading lecturer of SPbPU

For successful mastery of the practical block, students do not need special skills in MatLab programming or Stata modeling.

You’ll also benefit from a social program that includes networking events to meet with fellow summer school students. We’ve designed the teaching schedule to give you the chance to explore this great city, and those nearby, at weekends.

Quantitative Finance
Quantitative Finance

 

Duration: 2 weeks

ECTS credits: 4

Participation fee:

Early bird fee: 510 euro + 4000 Rub (non-refundable registration fee)

Regular fee: 540 euro + 4000 Rub (non-refundable registration fee)

Participation fee includes tuition fee, study materials, field trips and cultural program.

  • Cultural program

    Socio-cultural program of extracurricular activities and networking events are included*:

    • - Field trip to the Stock Exchange "St. Petersburg" and the Money history museum where students get knowledge of features of modern production of banknotes and contactless payments;
    • - Boat city tour for students to get acquainted with the beauty of the city;
    • - Excursion to the Hermitage, one of the world’s largest and oldest museums of fine art;
    • - Pub Quiz in the city center of St. Petersburg;
    • - Excursion to Pushkin, former tzar summer residence famous for its palace and park ensemble. Students will visit the outstanding Catherine Palace with glorious Amber room (optional, for extra price);
    • - Excursion to Peterhof palace-ensemble with picturesque gardens, a countless number of fountains and giant golden statues (optional, for extra price)
    • - Field trip to “Heineken” Brewery for students to get acquainted with production process and culture of consumption of products (optional, for extra price).

    *All of the listed above activities are planned to take place but in case any of those will have to be cancelled, an alternative event will be offered to participants.

Quantitative Finance
Quantitative Finance

Deadline for registration

Early bird deadline:

- for EU- or visa-free countries nationals: May 10, 2021

- for non-EU nationals: April 01, 2021

Regular deadline:

- for EU- or visa-free countries nationals: June 28, 2021

- for non-EU nationals: May 17, 2021

  • Entrance requirements
    • Good command of English. All classes and extracurricular activities are carried out in English. Knowledge of the Russian language is not required.
    • Applicants are expected to have at least 1 year of University level studies. ;
Course description

 

  • Portfolio Theory and Asset Management (theoretical block)

    Outline: This module is designed to introduce you to the key principles of the modern portfolio theory approach to investing and its implications on security selection and asset pricing. This module aims to introduce you to the theoretical background for the application of portfolio selection and asset pricing and accustom them with applying modern portfolio theory for the practice of investment management. Its main objective is to develop a good understanding of investment risk-return characteristics, the benefits of diversification, and the main equilibrium models for asset pricing. It also provides you with the skills required for security selection, portfolio construction and portfolio performance measurement.

    ECTS: 2.0

  • Matlab Programming for Finance (elective course from the practical block)

    Outline: Being able to perform some basic coding is becoming more and more important in the financial industry where R, Matlab and Python are widely used. Using those (sophisticated) programming languages allows to automate certain processes which helps for the analysis and decision making process and becomes one of those skills more and more analysts should have. Gaining some knowledge in any of those computer languages should allow someone to learn the syntax of other programmes which provides students with the skills to undertake more sophisticated analysis.

    This module introduces Matlab programming to students without Matlab knowledge. To make programming more interesting and to demonstrate the relevance to finance, Matlab coding is taught using finance examples in the field of asset management, portfolio theory and valuation. Handling, manipulating and operating on matrices, writing and calling functions/procedures, using loops, conditional statements and optimisations are skills which need to be performed frequently by financial analysts. The finance examples are focusing on valuation (i.e. bond pricing, NPV), portfolio theory (i.e. efficient frontier), style analysis, estimation of factor models and simulations.

    ECTS: 2.0

  • Applied Financial econometrics (elective course from the practical block)

    Outline:This course provides overview of advanced financial econometrics techniques for analysis and modelling of time series data, such as prices, volatilities and return of the main cryptocurrencies, exchange or interest rates, share prices and etc. During this course we discuss briefly theory and foundations of econometrics and in depth specific modeling techniques of financial econometrics. Students will apply discussed techniques for analysis, modelling and forecasting key characteristics of financial data using STATA software. In addition, special attention will be paid to modelling relationships between several financial series. The knowledge and methods acquired in this course are particularly useful and sought after in the public/government and private/industry financial sectors. This module introduces Stata-modeling to students without Stata knowledge.

    ECTS: 2.0

Program Partners:

Quantitative Finance
Quantitative Finance
Quantitative Finance

Contacts:

Program coordinator:

Department of International Educational Programs