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Применение процессов Хоукса для прогнозирования финансовых рисков
Издательский дом ВШЭ
,
2017.
№ 02.
Egorova L., Климюк И. Ю.
We consider models of forecasting shocks in stock markets that take into account the endogenous nature of such phenomena on the basis of Hawkes processes. The intensity of the Hawkes processes depends on previous events, that allow modeling the clustering effect. The models were tested on the S&P500 stock index and the USD/RUB currency pair and are capable to predict some financial crashes.
Piontkovski D., / Series arXiv "math". 2026.
A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
Added: June 23, 2026
Piontkovski D., / Series arXiv "math". 2025.
If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
Added: June 23, 2026
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Самара: Изд-во СамНЦ РАН, 2015.
Разработанная в монографии концептуальная схема методики мониторинга
и прогнозирования состояния экономики и социальной сферы Оренбургской
области может способствовать выработке и реализации эффективных
региональных программ по снижению негативных последствий в условиях ВТО,
как в экономике региона в целом, так и на рынке труда, в области
инвестиционных, демографических и миграционных процессах, в частности.
Для научных работников, аспирантов, студентов, государственных
служащих, занимающихся социально-экономическими проблемами ...
Added: November 5, 2019
Makarova V. A., , in: SGEM2014 Conference on Psychology and Psychiatry, Sociology and Healthcare, Education, www.sgemsocial.org, SGEM2014 Conference Proceedings.Vol. 3: Education and Educational research.: Sofia: STEF92 Technology Ltd., 2014. P. 547–555.
In this article the main tendencies of the development of the modern economic methodology are pointed out. The increased role of mathematical modelling in economics results that students receive applied education, far away from fundamental. Nevertheless, modern education requires the development of applied skills on a par with fundamental knowledge in the field of study, ...
Added: January 8, 2015
Sadovnichii V. A., Akaev A., Korotayev A. et al., М.: Издательский Дом "Наука", 2014.
В коллективной монографии представлены результаты моделирования развития стран БРИКС, полученные к настоящему времени в рамках исследований по проекту «Математическое моделирование глобальной и региональной динамики в условиях модернизации системы науки и образования» Программы фундаментальных исследований Президиума РАН «Экономика и социология науки и образования». ...
Added: October 23, 2014
Malkov S. Y., Кирдина С. Г., В кн.: Феномен возрастающей отдачи в экономике и политике: сборник научных трудов.: СПб.: Алетейя, 2013. С. 201–241.
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Added: October 9, 2014
Svetunkov S., М.: Юрайт, 2016.
In the book deals with modern methods and models of socio-economic forecasting, the most frequently used in practice. Essential part of economic decisions aimed at obtaining results in the future, so to make the right management decisions need to be reliable socio-economic forecasting, which is impossible without knowledge of methods and models. In connection with ...
Added: July 25, 2014
Mikheev A. V., В кн.: Современное образование: содержание, технологии, качество. Материалы XX международной научно-методической конференцииТ. 1.: СПб.: Издательство СПбГЭТУ "ЛЭТИ", 2014. С. 225–226.
Одной из важнейших задач статистического анализа данных, распределенных во времени, является предсказание их дальнейшей динамической реализации, другими словами, расчет наиболее вероятных значений того или иного временного ряда в будущем при наличии знаний о его значениях в прошлом и настоящем. Прогностические средства, реализованные в программе Data Analysis, основаны на сочетании различных методов прогнозирования линейных и ...
Added: April 27, 2014
Krakovich V., В кн.: Россия на пути в постиндустриальное общество: прогнозы и реальность: материалы студенческой научной конференции 8 декабря 2011 года - 20 апреля 2012 года.: СПб.: Издательство СПбГУЭФ, 2012. С. 265–265.
В статье приведены основные тезисы доклада на научной конференции студентов СПБГУЭФ в апреле 2012 г. Доклад был посвящен классификации экономико-математических методов и их применимости в целях прогнозирования результатов деятельности автопроизводителей в России. ...
Added: December 15, 2013