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Regular version of the site
Contacts

119049 Moscow, Russia
11 Pokrovskiy boulevard, room S629

Phone:

+7 (495) 772-95-90*27447, *27947, *27190
+7 (495) 916-88-08 (Master’s Programme Corporate Finance)

- Email: df@hse.ru

finance@hse.ru 

Administration
Head of the School Irina Ivashkovskaya

Head of Corporate Finance Research Center, Dr., tenured professor

Райн Анна Сергеевна
Administrator Райн Анна Сергеевна

+7495-772-95-90 (add. 27447)

Tatyana Gennadevna Lipatova
Administrator Tatyana Gennadevna Lipatova

+7495-772-95-90 (add. 27947)

Article
Investment in ESG Projects and Corporate Performance of Multinational Companies

Cherkasova V. A., Nenuzhenko I.

Journal of Economic Integration. 2022. Vol. 37. No. 1. P. 54-92.

Article
Bankruptcy factors at different stages of the lifecycle for Russian companies

Zelenkov Y., Fedorova E.

Electronic Journal of Applied Statistical Analysis. 2022. Vol. 15. No. 1. P. 187-210.

Working paper
Do Non-Interest Income Activities Matter For Banking Sector Efficiency? A Net Interest Margin Perspective

Kolade S. A., Semenova M.

Financial Economics. FE. Высшая школа экономики, 2022. No. WP BRP 87/FE/2022.

Book chapter
Validation of the effectiveness of the bank retail portfolio risk management procedure

Pomazanov M. V.

In bk.: The 8th International Conference on Information Technology and Quantitative Management (ITQM 2020 & 2021): Developing Global Digital Economy after COVID-19. Vol. 199: The 8th International Conference on Information Technology and Quantitative Management (ITQM 2020 & 2021): Developing Global Digital Economy after COVID-19. Manchester: Elsevier, 2022. P. 798-805.

Article
CEO Power and Risk-taking: Intermediate Role of Personality Traits

Korablev D., Poduhovich D.

Journal of Corporate Finance Research. 2022. Vol. 16. No. 1. P. 136-145.

Article
Economic Growth Models and FDI in the CIS Countries During the Period of Digitalization

Olkhovik V., Lyutova O. I., Juchnevicius E.

Научно-исследовательский финансовый институт. Финансовый журнал. 2022. Vol. 14. No. 2. P. 73-90.

Article
Special issue with the 2019 Future Directions in Accounting and Finance Education Conference, Moscow, Russia

Churyk N. T., Anna Vysotskaya, Kolk B. v.

Journal of Accounting Education. 2022. Vol. 58.

Book
Тенденции развития интернета: от цифровых возможностей к цифровой реальности

Абдрахманова Г. И., Васильковский С. А., Вишневский К. О. и др.

М.: Национальный исследовательский университет "Высшая школа экономики", 2022.

Article
Разработка рейтинга проектных рисков для телекоммуникационной компании

Гришунин С. В., Сулоева С. Б., Пищалкина И. И.

Организатор производства. 2022. Т. 30. № 1. С. 60-72.

Article
Разработка механизма гибкого управления рисками в сфере телекоммуникаций

Гришунин С. В., Сулоева С. Б., Пищалкина И. И.

Экономический анализ: теория и практика. 2022. Т. 21. № 3. С. 478-496.

Article
Development of the horizon index to evaluate long-termism of Russian non-financial companies

S. Grishunin, E. Naumova, N. Lukshina et al.

Russian Management Journal. 2021. Vol. 19. No. 4. P. 475-493.

Book chapter
Analysing the Determinants of Insolvency and Developing the Rating System for Russian Insurance Companies

Grishunin S., Bukreeva Alesya, Alyona A.

In bk.: The 8th International Conference on Information Technology and Quantitative Management (ITQM 2020 & 2021): Developing Global Digital Economy after COVID-19. Vol. 199: The 8th International Conference on Information Technology and Quantitative Management (ITQM 2020 & 2021): Developing Global Digital Economy after COVID-19. Manchester: Elsevier, 2022. P. 190-197.

Book
International Conference “Future Directions in Accounting and Finance Education”, 27-28 May 2019, Moscow, Russia

Edited by: А. Б. Высотская, B. v. Kolk.

Vol. 58. Elsevier, 2022.

Article
Prudential policies and systemic risk: The role of interconnections

Karamysheva M., Seregina E.

Journal of International Money and Finance. 2022. Vol. 127.

Article
How do fiscal adjustments work? An empirical investigation
In press

Karamysheva M.

Journal of Economic Dynamics and Control. 2022. Vol. 137.

Article
Do we reject restrictions identifying fiscal shocks? identification based on non-Gaussian innovations

Karamysheva M., Skrobotov A.

Journal of Economic Dynamics and Control. 2022. Vol. 138.

Article
ЛАТИНОАМЕРИКАНСКАЯ ТЕОЛОГИЯ ОСВОБОЖДЕНИЯ: ЭКОНОМИЧЕСКИЕ ПРЕДПОСЫЛКИ, СОСТОЯНИЕ, ОПЫТ ПРАВОСЛАВНОЙ РЕФЛЕКСИИ

Тихомиров Д. В.

Известия Санкт-Петербургского государственного экономического университета. 2022. № 4. С. 144-155.

Book chapter
Students’ Survey: Propensity to Innovate

Evdokimova M., Stepanova A. N.

In bk.: 38th EBES Conference - Program and Abstract Book. Istanbul: EBES, 2022. P. 39.

Article
Prove them wrong: Do professional athletes perform better when facing their former clubs?

Assanskiy A., Shaposhnikov D., Tylkin I. et al.

Journal of Behavioral and Experimental Economics. 2022. Vol. 98.

Article
Black-Litterman model with copula-based views in mean-CVaR portfolio optimization framework with weight constraints

Teplova T., Mikova E., Munir Q. et al.

Economic Change and Restructuring. 2023. Vol. 56. No. 1. P. 515-535.

Article
Институциональные инвесторы, инвестиционный горизонт и корпоративное управление

Повх К. С., Кокорева М. С., Степанова А. Н.

Экономический журнал Высшей школы экономики. 2022. Т. 26. № 1. С. 9-36.

Article
Credit scoring methods: latest trends and points to consider

Anton Markov, Zinaida Seleznyova, Victor Lapshin.

Journal of Finance and Data Science. 2022. Vol. 8. P. 180-201.

‘University Life in Partnership with Artificial Intelligence’

‘University Life in Partnership with Artificial Intelligence’

© HSE University

HSE University is one of the leaders in IT education and research in the field of artificial intelligence (AI). Thanks to this, the university recently received the highest grant of the Priority 2030 programme. The integration of AI technologies into education is set to become a strategic direction for the university’s development over the next five years. What changes are coming to HSE University in this regard and how they will affect students and teachers? These issues were discussed at a meeting of HSE University’s Academic Council on December 20.

At the beginning of the meeting, HSE University Rector Nikita Anisimov noted that the university had proven its leading position in the first group of the ‘Research Leadership’ area of the Priority 2030 programme and received the largest grant.

He outlined and commented on eight points characterising HSE University’s development in 2023, which formed the basis of his report at the meeting of the Programme Council:

 connecting social and humanitarian knowledge with digital sciences

 capitalisation of accumulated scientific potential

 creating human-oriented technologies through strategic projects

 maintaining high standards of education quality

 youth development for the country’s sustainable future

 development of the management system to ensure the university’s sustainability

 ensuring a contribution to supporting youth and the development of education and science in Russia’s regions

 maintaining the position of a world-class national research university in the new geopolitical conditions

Nikita Anisimov
Nikita Anisimov
© Mikhail Dmitriev/ HSE University

One of the Priority 2030 Council’s recommendations was to focus more on AI technologies for people. ‘In conditions where no one has any doubts about the role and value of artificial intelligence technologies for the further existence of humanity, we need to understand how it will become part of our large community’s life,’ said Nikita Anisimov.

Yaroslav Kuzminov
Yaroslav Kuzminov
© Mikhail Dmitriev/ HSE University

As Yaroslav Kuzminov, HSE University’s Academic Supervisor, emphasised, ‘HSE University is practically the only university that has retained the scale of financial support from previous years due to the fact that we acted impeccably in cooperation with the Ministry of Digital Development of Russia by participating in the Digital Departments project.’

HSE University’s Vice Rector Sergey Roshchin gave a report on AI, the main item on the meeting agenda.

According to him, the university realised earlier than others that everyone should have digital competencies, and today HSE University is virtually an information technology university. The number of bachelor’s and master’s programmes that are in one way or another related to computer science is larger than the number of programmes in economics and management.

Sergey Roshchin
Sergey Roshchin
© Mikhail Dmitriev/ HSE University

Sergey Roshchin suggested treating existing achievements as prerequisites for further development. ‘There is quite a serious turn ahead,’ he said.

In the near future, they plan to update the Data Culture project, under which all students of bachelor’s programmes will receive digital competencies. One component of the project will be changed this academic year as an experiment, then next year systematically. Students will have to study data analysis, methods of working with AI, and generative models in various fields—from design and Asian studies to management and law.

The developments of the Data Culture project will be transferred to a major (part of the main educational programme that forms the knowledge system in the main area of ​​training), where courses related to the use of AI will appear. According to Sergey Roshchin, only 5% of disciplines currently cover interaction with various elements of AI.

The space of programmes whose graduates have subject and instrumental competencies and can apply these competencies in the selected subject areas will expand. There are already many such programmes at the master’s and bachelor’s levels, such as Computational Social Sciences.

Generative models should become part of students’ learning toolset—they can be used in projects, coursework, and graduation papers. In addition, students will have the opportunity to take part in projects to test technologies for identifying generative models.

Updating the skills, abilities, and competencies of teachers is another large-scale task which will allow the university to remain competitive. ‘2024 should be a year of large-scale retraining of teaching staff,’ concluded Sergey Roshchin.

Artificial intelligence should also be utilised to assist teachers by performing routine tasks. For example, an AI evaluator is being developed based on an array of data from independent exams within the framework of the Linguatest certification testing system implemented by HSE University.

According to the speaker, HSE University should become a university where artificial intelligence permeates all subject areas. The university’s online campus has already engaged in reworking all AI-related aspects, and this work needs to be implemented at the four traditional campuses as well.

There is also an ethical aspect of using AI in the educational process. Sergey Roshchin proposed the formulation of an ethical code within HSE University, which will be the first regulation of how different participants in the educational process interact with AI.

Commenting on the report, Nikita Anisimov noted that the discussion is about a very serious area in which ‘we take responsibility not just for the introduction of education in the field of artificial intelligence at the university, but for the life of the university in partnership with artificial intelligence.’