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Contacts

School of Finance              Faculty of Economic Sciences   HSE University 

119049 Moscow, Russia
11 Pokrovsky Bulvar, S629

School of Finance: df@hse.ru      +7 (495) 772-95-90 *27447, *27190, *27947

Master’s Programmes:  Corporate Finance,           Master of Business Analytics

 

Head of the School of Finance Irina Ivashkovskaya

Doctor of Sciences in Finance, Tenured Professor, Head of the Corporate Finance Center

Manager Uliana Nepryakhina

+7 495-772-95-90 *27190

Senior Administrator Olesya Galyanina

+7 495-772-95-90 *27447

Administrator Tatyana Lipatova

+7 495-772-95-90 *27947

Book
Systemic Financial Risk: An Emerging Market Perspective

Edited by: A. M. Karminsky, Mikhail Stolbov.

Palgrave Macmillan, 2024.

Article
What Drives Green Bonds Returns and Valuation of the Safe-Assets Effecton Global, Russian and Chinese Markets?

Svetlana Grigorieva, Narmin Isaeva, Aliya Azizova et al.

Journal of Corporate Finance Research. 2026. Vol. 20. No. 1. P. 75-85.

Book chapter
The Impact of Sanctions on the Financial Performance and Creditworthiness of Russian Non-Financial Companies

Dobrynina Polina, Grishunin S.

In bk.: The 12th International Conference on Information Technology and Quantitative Management (ITQM 2025). Netherlands: ScienceDirect, 2025. P. 166-174.

Working paper
Momentum Factor or Factor Momentum in REITs Market?

Dobrynskaya V. V., Tomtosov A., Речмедина С.

SERIES: FINANCIAL ECONOMICS. WP BRP 60/FE/2017. НИУ ВШЭ, 2025

The Article by the School of Finance Associate Professor Victoria Dobrynskaya was Published in "International Review of Financial Analysis" Journal

We congratulate Victoria Dobrynskaya, the associate professor of School of Finance, with publication of her paper "Is downside risk priced in cryptocurrency market?" in a leading international peer-reviewed journal «International Review of Financial Analysis».

The paper considers multifactor pricing models for cryptocurrencies and proposes a new factor - downside market risk, which has a high explanatory power for predicting returns in a wide sample of about 2000 biggest cryptocurrencies traded in 2014-2021. Cryptocurrencies which have a greater exposure to the downside risk yield higher returns systematically, and the downside risk premium in the cryptocurrency market is significantly higher than in traditional asset markets.