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April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Оценка эффективности декларирования корпоративных ценностей в российском банковском секторе

Менеджмент в России и за рубежом. 2013. № 1. С. 88–93.
Prosvirkina E. Y.

In this article the influence of publicly declarative values on the performance of top fifty banks in Russia is analyzed. For determination of correlations an index of corporate values (CV-Index) is calculated as well as relationship between this index and financial indicators of banks are examined in SPSS program. In order to calculate CV-Index the detailed research of banks’ websites, codes of ethics and corporate behavior is conducted. All the defined corporate values are categorized into seventeen groups. The research has confirmed a statistically significant correlation between CV-Index and net profit of banks.

Priority areas: economics management humanitarian
Language: Russian
Full text
Keywords: банковский сектороценка эффективностиorganizational performancecorporate valuespublicly declarative valuesRussian banking industryevaluation of effectivenessкорпоративные ценностипублично декларируемые ценностирезультаты деятельностииндекс ценностей
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