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Analyzing and forecasting P/E ratios using investor sentiment in panel data regression and LSTM models
International Review of Economics and Finance. 2025. Vol. 98. Article 103840.
Language:
English
Автухова Е. Э., Larionov A., Плачинда К. Д., М.: Экономический факультет МГУ имени М. В. Ломоносова, 2026.
Данное методическое пособие разработано в соответствии с рабочей программой курса «Банковское дело», реализуемого на Экономическом факультете МГУ имени М. В. Ломоносова по специальности «Экономика» (бакалавриат), и может быть рекомендовано для подготовки к семинарским занятиям и самостоятельной работе студентов. ...
Added: October 4, 2026
Kuninets A., IEEE Transactions on Information Theory 2026 P. 1–1
In this work we study the applicability of Quasi-Cyclic Subfield Subcodes of Dual Elliptic (QC-SSDE) codes for integration into code-based cryptographic schemes. Detailed algorithms are provided for constructing parity-check matrices as well as block-circulant parity-check matrices for this family of codes, accompanied by empirical results that enable the construction of QC-SSDE codes with predetermined dimensions. ...
Added: October 3, 2026
Demidova O., Kazakova S., Applied Economics 2026 P. 1–14
This paper examines the nonlinear relationship between inflation and economic growth across Russian regions, contributing to the literature on the inflation-growth nexus by using subnational evidence from a large and economically heterogeneous country. Using panel data for 83 regions over the period 2015–2023, we estimate fixed-effects models with a quadratic specification of inflation. The growth-maximizing ...
Added: October 3, 2026
Zykov S. V., Уфимцев Г. А., Моделирование, оптимизация и информационные технологии 2026 Т. 14 № 8 С. 1–13
Информационные системы формируют большие объёмы событийных журналов, которые используются для анализа работы приложений и сервисов. При этом события могут поступать в аналитический контур позже момента их фактического возникновения и не в исходном порядке. Такая рассинхронизация приводит к ошибкам при построении агрегированных временных показателей, а регулярный полный пересчёт многомерного аналитического куба требует значительных вычислительных затрат. Целью ...
Added: October 2, 2026
Polarization of opinions in the group: a modeling algorithm considering the dynamics of social bonds
Chebotarev V., Andreyuk D., Elizarova Anastasiya et al., Procedia Computer Science 2022 Vol. 213 No. C P. 596–601
The dynamics of opinion in a group are of interest for a number of practical purposes. In particular, consensus helps and polarization of opinions hinders cohesive teamwork. Existing approaches for modeling opinion dynamics mostly do not take into account the dynamism of social relations in a group. This paper proposes an algorithm and a program ...
Added: October 2, 2026
Konstantinov A., Elizarova Anastasiya P., Utkin L., Computing, Telecommunications and Control 2026 Vol. 19 No. 1 P. 16–25
Decision trees and their ensemble extensions, such as random forests, are widely used as classification models due to their simplicity and interpretability. However, in many real-world tasks where class labels overlap in the feature space, standard decision trees rely on hard splits that create fragile decision boundaries. In these regions, small perturbations in the input ...
Added: October 2, 2026
Prokhorov A., Burda M., Journal of Computational and Graphical Statistics 2026 P. 1–13
Bayesian nonparametric density estimation procedures are typically based on single-scale priors, such as Dirichlet process mixtures. Alternative multiscale density priors built on decision trees have many well-known advantages, including the ability to characterize abrupt local changes and to provide an estimate with a desired level of resolution. Despite their theoretical appeal, multiscale methods have typically ...
Added: October 2, 2026
Tikhonova N. E., Karavay A., Социологическая наука и социальная практика 2026 Т. 14 № 3 С. 12–36
Drawing on data from the 2024 RLMS-HSE, the article shows that employmentrelated risks are increasingly being shifted onto workers in Russia, while employment differentiation already affects more than 40% of employed Russians, even without taking into account deviations from standard working hours, which are typical of most representatives of the mass social strata. Employment differentiation in Russia is characterized, ...
Added: October 2, 2026
Aly Ismailov, Poptsova M., Plos One 2026 Vol. 21 No. 9 Article e0355902
Added: October 2, 2026
Белов Б. П., Kocharian R., Самойлов И. А. et al., Стандарты и качество 2026 № 10 С. 105–109
Acceptance of enterprise AI search requires checking answer correctness and access controls, defining acceptable errors, and assessing whether testing is sufficient. A record for individual acceptance criteria was developed. Its eight fields link requirements and risks to system configuration, testing, and the acceptance decision. The fields are mapped to provisions in four Russian standards. The ...
Added: October 1, 2026
Zlotnik A., Математические заметки 2026 Т. 120 № 6 С. 1005–1009
Численным методам решения систем газодинамических уравнений посвящена обширная литература. Ранее было разработано и успешно апробировано специальное семейство симметричных по пространству консервативных разностных методов, основанных на предварительной кинетической, точнее, квазигазодинамической (КГД), регуляризации этих уравнений. Актуальной задачей является построение численных методов, которые обладают не только свойством консервативности по массе, импульсу и полной энергии, но и удовлетворяют условиям энтропийной ...
Added: October 1, 2026
Kazun A. D., Полития: Анализ. Хроника. Прогноз 2026 № 3 С. 80–98
The article analyzes media skepticism and media cynicism as two forms of critical attitudes toward news. The empirical basis of the study is a nationwide population survey (N = 6,007) conducted in late 2023 and early 2024. The analysis shows that both media skepticism and media cynicism are pronounced in Russian society: while a substantial ...
Added: October 1, 2026
Пилюк Е. Р., Rozmainsky I. V., Журнал институциональных исследований 2026 Т. 18 № 3 С. 77–96
This paper analyzes the financial fragility оf cоmpanies in Saudi Arabia frоm 2012 tо 2025 based оn the Hyman Minsky’s financial instability hypоthesis and is the first attempt to apply this theory to a country dominated by Islamic banking. The authors test not only the relationship between the dynamics of financial fragility and the dynamics ...
Added: October 1, 2026
Klaro Ramires P. M., Veselova A., AlterEconomics (ранее - Журнал экономической теории) 2026 Т. 23 № 3 С. 699–718
As Russia transitions toward a green economy and reshapes its sustainable development agenda, understanding the external and internal factors influencing companies’ adoption of ESG principles is increasingly important. The study examines the relationships between external institutional pressure, internal organizational capabilities, and the effectiveness of corporate ESG practices. It focuses on external regulatory and non-regulatory mechanisms, ...
Added: October 1, 2026
Potanin B., Dolgikh S., Statistics and Probability Letters 2027 Article 110984
We derive bounds on the gradient and Hessian of the log-CDF, ln F(x), of the multivariate normal distribution. These bounds scale linearly and quadratically in ‖x‖ , respectively, with constants depending only on the covariance matrix. We demonstrate the usefulness of these bounds by proving asymptotic normality of the maximum-likelihood estimator of the multivariate probit ...
Added: October 1, 2026
Klochko O., Кузнецова М. П., Пространственная экономика 2026 Т. 22 № 3 С. 73–103
The article assesses China’s technological sovereignty in high-tech industries that form the ecosystem of physical artificial intelligence and its readiness to develop intelligent robotics. The aim of the study is to identify changes in China’s position in the global value chains of these industries through a comprehensive analysis of foreign value added used in production, ...
Added: October 1, 2026
International Joint Conferences on Artificial Intelligence, 2026.
Added: October 1, 2026
Balakina Y. V., Коммуникации. Медиа. Дизайн 2026 Т. 11 № 3 С. 24–44
This article explores the role of multimodal media texts (MMT) in political communication. MMT are seen as a blend of cultural and symbolic forms, manifested through various semiotic modes such as text, image, sound, and their combinations in the media space. The goal is to elucidate how these texts construct social reality and their functions ...
Added: October 1, 2026
Ryumina E., Aksenov A., Сысоев Д. С. et al., IEEE Computer Society, 2026.
Ambivalence/hesitancy recognition in unconstrained videos is a challenging problem due to the subtle, multimodal, and context-dependent nature of this behavioral state. In this paper, a multimodal approach for video-level ambivalence/hesitancy recognition is presented for the 10th ABAW Competition. The proposed approach integrates four complementary modalities: scene, face, audio, and text. Scene dynamics are captured with ...
Added: September 30, 2026
Kirina M., Chepovetskaia S., , in: Speech and Computer. 28th International Conference, SPECOM 2026, Ohrid, North Macedonia, September 17–18, 2026, Proceedings, Part II.: Springer, 2027. P. 58–75.
This paper presents the results of an experiment comparing automatic and human emotion and sentiment detection in transcripts of Russian spontaneous speech. The study is based on a dataset derived from the Everyday Student Conversations corpus of Russian speech (ESC Corpus/KURS), comprising 26,137 speaker turns (326,527 tokens) obtained through automatic speech recognition of 226 macro-episodes ...
Added: September 20, 2026
Hualin M., Jie Z., Jerome Y. et al., Journal of Internet Technology 2026 Vol. 27 No. 3 P. 367–382
In open, interference-prone scenarios, the scarcity of precisely annotated signal samples limits the application of deep learning–based modulation identification, which generally relies on extensive labeled data for stability. Relation Networks, as an emerging class of deep learning models, exhibit rapid convergence in few-shot learning tasks. Motivated by the fast convergence property of relation-based learning and ...
Added: July 3, 2026
Beknazarov N., , in: Parallel Computational Technologies, 19th International Conference, PCT 2025, Moscow, Russia, April 8–10, 2025, Revised Selected Papers. (CCIS, volume 2891)Vol. 2891.: Springer, 2026. P. 3–16.
This paper addresses the challenge of efficiently training Large Language Models (LLMs) on large-scale, sparse omics datasets in high-performance computing (HPC) environments. Using over 1000 BED tracks as a representative data source, we propose a method combining interval-based chunked storage, sparse matrix transformation, and parallel data loading, integrated within a PyTorch Lightning training framework. Our ...
Added: May 19, 2026
Ronglin Z., Wei L., Jiahong C. et al., Journal of Signal Processing Systems 2026 Vol. 98 Article 31
To address the need for lightweight and low-latency protection in massive resource-constrained 5G Internet of Things (IoT) systems, this paper proposes Key-Controlled Modulation Hopping and Constellation Rotation (KMHCR). KMHCR is designed as a physical-layer confidentiality-enhancement mechanism that avoids bit-wise full-payload encryption in the protection pipeline. It uses a shared key derived from channel-reciprocity secret key ...
Added: May 16, 2026
Verkholyak O., Dvoynikova A., Karpov A., Journal of Internet Services and Information Security 2021 No. 1 P. 80–96
This paper presents a novel bimodal speech emotion recognition system based on analysis of acoustic and linguistic information. We propose a novel decision-level fusion strategy that leverages both emotions and sentiments extracted from audio and text transcriptions of extemporaneous speech utterances. We perform experimental study to prove the effectiveness of the proposed methods using emotional ...
Added: April 24, 2026