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.
Volodin S., Спиридонов М. В., Валютное регулирование. Валютный контроль 2018 № 9 С. 23–31
Over the past few years, the crypto-currency market has been developing rapidly. Large investments in this industry were accompanied by a lot of speculation from private investors. If we talk about the traditional stock market, then in today's trading you could observe quite a lot of trading strategies. They are divided into both the holding ...
Sobolev A., В кн.: Proceedings of III International scientific conference "Modern scientific achievements: experience exchange".: Morrisville: Lulu Press, 2017. С. 87–90.
Статья рассмотривает возможность применения статистического арбитража для элиминирования валютных рисков при осуществлении высокочастотной торговли на финансовом рынке. ...
Sobolev A., РИСК: Ресурсы, информация, снабжение, конкуренция 2017 № 3 С. 159–166
The topicality of capital allocating efficiency increasing becomes more urgent with the volatility growth in financial markets. The article provides an innovative approach for currency risks management using composite currency pairs indexes forming stationary time series. ...
Volodin S., Коченков И. А., Аудит и финансовый анализ 2013 № 6 С. 237–244
The article is devoted to a new approach for the Russian market, aimed at predicting the prices of financial assets and making market operations - a statistical arbitrage. Despite the fact that the western markets, investors have long been actively using the methods of statistical arbitrage, in Russia they have not yet received adequate distribution. ...