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.
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.
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.
Larchenko L. V., В кн.: Россия: Тенденции и перспективы развития. Ежегодник. Выпуск 13. Часть 2Ч. 2.: ИНИОН РАН. Отд. науч. сотрудничества, 2018. С. 110–113.
The article shows that the main problem of the development of oil and gas regions of the Russian North and the Arctic is the single-industry nature of the economy, based on the exploitation of natural resources. This problem is most clearly manifested in the period of decline in world oil prices, sanctions, depletion of raw ...
Larchenko L. V., В кн.: Россия и Германия: экономика регионов после санкцийВып. 1 (9).: СПб.: Скифия-принт, 2015. С. 79–82.
The article shows that the raw regions are amplified single-industry nature of the economy. The author suggests directions uzkosyrevoy transition from specialization to a diversified economy, allowing raw regions thrive in the long run. ...
В статье показано, что основной проблемой развития нефтегазодобывающих регионов российского Севера является моноотраслевой характер хозяйства, основанный на эксплуатации природных ресурсов. Наиболее ярко эта проблема проявляется в период снижения мировых цен на нефть, что крайне негативно сказывается на формировании региональных бюджетов. На основе анализа отечественного и зарубежного опыта предлагаются меры по преодолению узкосырьевой направленности ...
