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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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Макроэкономическая модель российской экономики

Экономика и математические методы. 2016. Т. 52. № 3. С. 92–113.
Скрыпник Д. В.

The constructed macroeconomic model of Russian economy is presented. The model takes into account the key features of behavioral mechanism, economic policy mechanism, and key structural features of the economy for medium and short periods. We model the budget rule mechanism, consider interaction between the Central Bank and the budget in the context of monetary and budget reserves accumulation, including the process of gold-currency reserves’ accumulation as well as the sterilizing mechanism for state funds formation. Include two different monetary policy rules in the model: domestic credit rule and exchange rate rule. The exchange rate sub-model describes a Balassa—Samuelson effect and terms of trade effect. Our model demonstrates high prognostic power: its model prognostic quality is higher than of the Ministry of Economic Development of the Russian Federation for the majority of macroeconomic indicators. 

Research target: Economics and Management
Language: Russian
Text on another site
Keywords: macroeconomic modelмакроэкономическая модельtransmission mechanism of monetary policyтрансмиссионный механизм монетарной политикибюджетное правиловекторная модель коррекции ошибкамиBudget ruleError correction model
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