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News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
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Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Investment Attractiveness of Green Bonds: The Impact of Issuer Sector and Region

Procedia Computer Science. 2025. Vol. 266. P. 745–752.
Egorova A., Karminsky A. M., Lobov G.

This paper investigates the investment attractiveness of green bonds by examining the influence of issuer-specific regional and sectoral characteristics on bond yields. Using a cross-sectional dataset of 1,502 green bond issues from 44 countries, sourced from the Cbonds database as of March 2025, the study applies a multivariate OLS regression framework. The analysis incorporates macroeconomic indicators, ESG ratings, credit risk measures, and dummy variables reflecting regional origin, industry affiliation, and sectoral carbon intensity. The results reveal that green bond yields differ significantly depending on (1) the issuer’s region, (2) economic sector, (3) country development level, and (4) the carbon intensity of the issuer’s industry. Specifically, bonds issued in emerging markets and carbon-intensive sectors tend to offer higher yields, reflecting increased risk premiums. These findings support the risk-return paradigm in the context of sustainable finance and underscore the importance of geography and industry in green bond pricing. The study also discusses methodological limitations and proposes directions for future research, including time-series analysis, policy impact evaluation, and broader geographical coverage. Overall, the results provide practical insights for investors, issuers, and regulators aiming to foster a more balanced and efficient green bond market globally.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: ESG green bondsESG ratings
Publication based on the results of:
Decision-Making in Socio-Economic, Political and Financial Spheres (2025)
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