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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
Head of Corporate Finance Research Center, Dr., tenured professor
+7 495-772-95-90 (add. 27946)
The HSE School of Finance is the leading Russian competence center in the field of corporate finance, business valuation, banking, stock market, risk management and insurance, accounting and audit.
HSE is the first Russian university in the global ranking "QS - World University Rankings by subject", 2022 in the subject area of Accounting and Finance. Moreover, the university is the 1-st in the rating "THE World University Rankings by subject" in the subject area of Business & Management Studies, 2022
Cherkasova V. A., Nenuzhenko I.
Journal of Economic Integration. 2022. Vol. 37. No. 1. P. 54-92.
Electronic Journal of Applied Statistical Analysis. 2022. Vol. 15. No. 1. P. 187-210.
Kolade S. A., Semenova M.
Financial Economics. FE. Высшая школа экономики, 2022. No. WP BRP 87/FE/2022.
Управление финансовыми рисками. 2022. Т. 70. № 2. С. 108-120.
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.
Korablev D., Poduhovich D.
Journal of Corporate Finance Research. 2022. Vol. 16. No. 1. P. 136-145.
Olkhovik V., Lyutova O. I., Juchnevicius E.
Научно-исследовательский финансовый институт. Финансовый журнал. 2022. Vol. 14. No. 2. P. 73-90.
Churyk N. T., Anna Vysotskaya, Kolk B. v.
Journal of Accounting Education. 2022. Vol. 58.
Абдрахманова Г. И., Васильковский С. А., Вишневский К. О. и др.
М.: Издательский дом ГУ-ВШЭ, 2022.
Абдрахманова Г. И., Васильковский С. А., Вишневский К. О. и др.
М.: Национальный исследовательский университет "Высшая школа экономики", 2022.
Гришунин С. В., Сулоева С. Б., Пищалкина И. И.
Организатор производства. 2022. Т. 30. № 1. С. 60-72.
Гришунин С. В., Сулоева С. Б., Пищалкина И. И.
Экономический анализ: теория и практика. 2022. Т. 21. № 3. С. 478-496.
S. Grishunin, E. Naumova, N. Lukshina et al.
Russian Management Journal. 2021. Vol. 19. No. 4. P. 475-493.
Journal of Corporate Finance Research. 2022. Vol. 16. No. 1. P. 99-112.
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.
Edited by: А. Б. Высотская, B. v. Kolk.
Vol. 58. Elsevier, 2022.
Karamysheva M., Seregina E.
Journal of International Money and Finance. 2022. Vol. 127.
Journal of Economic Dynamics and Control. 2022. Vol. 137.
Karamysheva M., Skrobotov A.
Journal of Economic Dynamics and Control. 2022. Vol. 138.
Известия Санкт-Петербургского государственного экономического университета. 2022. № 4. С. 144-155.
Тихомиров Д. В., Цехомский Н. В.
Экономика и управление. 2022. Т. 28. № 1. С. 16-24.
Селезнёва З. В., Евдокимова М. С.
Финансы: теория и практика. 2022. Т. 26. № 3. С. 64-84.
Evdokimova M., Stepanova A. N.
In bk.: 38th EBES Conference - Program and Abstract Book. Istanbul: EBES, 2022. P. 39.
Assanskiy A., Shaposhnikov D., Tylkin I. et al.
Journal of Behavioral and Experimental Economics. 2022. Vol. 98.
Teplova T., Mikova E., Munir Q. et al.
Economic Change and Restructuring. 2023. Vol. 56. No. 1. P. 515-535.
Повх К. С., Кокорева М. С., Степанова А. Н.
Экономический журнал Высшей школы экономики. 2022. Т. 26. № 1. С. 9-36.
Anton Markov, Zinaida Seleznyova, Victor Lapshin.
Journal of Finance and Data Science. 2022. Vol. 8. P. 180-201.
08/06/21 16:00 Research Seminar "Empirical Research in Corporate Finance"
1-year postgraduate student Milica Simonovic with the report "The Determinants of Intellectual Capital Disclosure - A Structured Literature Review", prepared under the guidance of I. Ivashkovskaya.
Abstract
The objective of this article is to look at the major factors that influence intellectual capital disclosure. By conducting a structured literature review (SLR) on 45 articles and conference proceedings papers published between 2010 and 2020, it is discovered that intellectual capital disclosure is highly dependent on corporate governance mechanisms, the characteristics of the CEO, the ownership structure, and the specific organizational characteristics of companies. Thus far, the findings of study in this area indicate that the impact of the aforementioned drivers of intellectual capital disclosure is unclear. The practical value of this article is demonstrated by the fact that it provides information on the determinants affecting intellectual capital disclosure through the use of a novel SLR approach. The paper's primary weakness is that it uses only papers from the Web of Science database to conduct a systematic literature review. Additionally, only publications published between 2010 and 2020 are considered.
Key Words: Intellectual Capital; Intangible Asset; Human Resources, Social Capital; Relational Capital; Structural Capital; Corporate Governance; Organizational Characteristics
JEL Classification: M410, M480, G32, G38
2) 2-year postgraduate student Denis Korablev, the topic of the report «Board Capital, CEO Power and Corporate Performance: Emerging Economy Context», scientific advisor - I. Ivashkovskaya.
Abstract
The study advances the line in research of human-side of corporate governance by studying the impact of board capital on financial performance in specific environment of emerging capital market with relatively short history of corporate governance. We draw on the concept of board capital suggested by Hillman and Dalziel (2003), Haynes and Hillman (2010) as a set of heterogenous personal characteristics of directors to be able to execute their functions. We use a sample of 100 publicly traded firms in Russia during the period 2009-2017 with dynamic panel data. Our tests are based on unique data on personal characteristics of directors collected manually. We apply index approach to approximate board capital measurer with the use of taken board characteristics. To control the models for endogeneity, we used generalized method of moments with the lags of independent variables.
Link to zoom conference:
https://zoom.us/j/94017615680