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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Measuring Heterogeneity in Banks’ Interest Rate Setting in Russia

Emerging Markets Finance and Trade. 2022. Vol. 58. No. 14. P. 4103–4119.
Burova A., Alexey Ponomarenko, Svetlana Popova, Sinyakov A., Ushakova Y.

We use credit registry data on all corporate loans issued by Russian banks since 2017 to decompose bank interest spreads into a common factor, borrower- and lender-specific components. We find that the variation in loan rates associated with lender-specific factors (heterogeneity of banks) and borrower-specific factors (heterogeneity of borrowers) is substantial. We use the bank-specific components identified to measure the fragmentation of the corporate credit market in Russia. The results indicate that heterogeneity in banks’ interest rate setting is high and increased in the early stage of the pandemic. Finally, our results suggest that banks tightened non-interest loan conditions during the pandemic.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: financial stabilitycredit registrypandemicBank interest spreadcredit market fragmentation
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