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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Современные и классические методы оценки и анализа финансового состояния компании. Монография

Cheboksary : -, 2020.
Sizykh N., Sizykh D.

The aim of the monograph is presentation of copyrighted research materials on modern methods for assessing and analyzing the financial condition of a company, including the development of matrix analysis, analysis of capital structure, proposals for the application of some new ratios, their comparative analysis, proposals for classifying ratios used for analysis. The second objective function of this monograph is to conduct a systematic analysis of modern areas and methods for assessing various indicators of the financial condition of the company and provide recommendations on their practical use for decision-making in management.

The monograph includes many practical examples with evaluation formulas and analysis of financial indicators. The author’s developments are presented in conjunction with other well-known modern and classical methods for assessing the financial condition of a company. Since some of the classical methods in a number of papers and information sources are presented in a slightly modified form (in particular, for example, bankruptcy assessment methods), careful work was carried out to compare them with the primary sources and to verify the possibility of their application on the recent data (practical approbation) . Therefore, in the monograph, these classical methods are brought into line with the primary sources, have relevant information links and are provided with analytical author's comments on the possibility of their practical application.

Priority areas: economics management IT and mathematics
Language: Russian
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Keywords: financial analysisфинансовый анализанализ финансового состоянияfinancial analysis and modelingматричный анализ
Современные и классические методы оценки и анализа финансового состояния компании. Монография
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