?
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
Финагин М. И., Мирошниченко Д. В., Прикладная эконометрика 2026 Т. 82 С. 105–123
We construct a monthly indicator and produce a nowcast of nominal GDP in Russia using operational
data. The data used are bank statements and the ruble price of Russian oil. This approach
allows for the nowcast of nominal GDP ahead of official statistics by 3–5 months. Nominal GDP
data is published by Rosstat only on a quarterly basis ...
Added: August 28, 2026
Simachev Y. V., Ruzhanskaya L., Саблин К. С., ЭКО 2026 № 4 С. 55–82
Energy security concerns, environmental constraints, and competition
with other energy sources—combined with the disruption of established global value
chains—are forcing Russian coal companies to undergo transformation. Based on an
analysis of statistical data and the results of in-depth interviews with experts conducted
from August 2024 to January 2025, this study identifies the main challenges facing
the development of Russia’s coal ...
Added: August 28, 2026
Kazun A., Девятников В. Ю., Белов М. Д., Вопросы теоретической экономики 2026 Т. 3 № 32 С. 115–135
Как понять, хорош адвокат или нет? В данной статье мы описываем методологию, позволяющую измерять качество юридической помощи через разницу между тем, что предсказывает модель машинного обучения по объективным характеристикам дела, и тем, чем дело закончилось в реальности. Мы исходим из предпосылки, что если у адвоката дела стабильно заканчиваются лучше ожидаемого, то он делает свою работу хорошо. ...
Added: August 28, 2026
Avdoshin S.M., Patrushev K. A., Proceedings of the Institute for System Programming of the RAS 2026 No. 4 часть 2 P. 245–256
The cardinality-constrained Markowitz problem is NP-hard and traditionally solved with commercial MIQP solvers. Following the 2022 export restrictions that rendered both commercial MIQP software and cloud quantum platforms (IBM Quantum, D-Wave Leap) inaccessible from the Russian Federation, practitioners require open-source alternatives. This paper systematically compares three solver families for the discrete mean-variance problem: two open-source ...
Added: August 27, 2026
Zaikin A., Vlasenko D., Zakharov D. et al., Diagnostics 2026 Vol. 16 No. 17 P. 1–15
Background/Objectives: Synolitic graphs (SGs) were developed for task-based fMRI, where
edge weights encode the discriminative power of pairwise regional features; whether similar
information can be recovered from resting-state data was untested. We benchmarked
SGs for autism spectrum disorder (ASD) classification using the multisite ABIDE-I dataset
(871 subjects: 403 subjects with ASD, 468 typical controls; 17 sites; CC200 atlas). Methods:
Using ...
Added: August 27, 2026
Melnik D. V., Вопросы теоретической экономики 2026 № 3 С. 65–82
Luigi Einaudi (1874–1961) was a prominent economist who made theoretical contributions to the Italian school of public finance, an influential professor, a brilliant publicist, and an outstanding statesman who served as president of the nation from 1948 to 1955, and whose activities laid the foundations for the institution of the presidency of the Italian Republic. ...
Added: August 27, 2026
Тула: Тульский государственный педагогический университет им. Л.Н. Толстого, 2025.
Сборник содержит материалы, представленные на XXIV Международной конференции «Алгебра, теория чисел, дискретная геометрия и многомасштабное моделирование: современные проблемы, приложения и проблемы истории», посвящённой 110-летию со дня рождения академика Юрия Владимировича Линника и 110-летию со дня рождения профессора Андрея Борисовича Шидловского и 80-летию со дня рождения профессора Геннадия Ивановича Архипова. Материалы конференции будут полезны научным работникам, ...
Added: August 27, 2026
Lysenok N., Финансовый журнал 2026 Т. 18 № 4 С. 45–63
The article discusses the application of clustering methods to form an optimal investment portfolio
that allows the investor to achieve an effective risk-reward ratio. Three popular clustering methods,
K-Means, MeanShift, and DBSCAN, are examined. The article focuses on the DBSCAN clustering method
and highlights its advantages over other clustering methods in the context of financial data analysis.
DBSCAN is ...
Added: August 27, 2026
Panova A., Ostrovnaya M., Demokratizatsiya: The Journal of Post-Soviet Democratization 2026 Vol. 34 No. 2 P. 199–226
Local authorities can crucially affect the economic performance of public organizations. Using data on the Moscow region, we analyze the unique case of a huge, socio-economically homogeneous region with differing political environments. We examine how the political characteristics of local authorities influence state schools’ decisions on whether to outsource non-core activities, in this case food ...
Added: August 27, 2026
Шарко О. В., Шарко Е.Р., Маркетинг в России и за рубежом 2026 Т. 2 № 172 С. 71–79
The paper analyses scholarly understanding of consumer behaviour in e-commerce by synthesizing recent advances in digital marketing, the dynamics of online retail platforms, and empirical models of customer interaction. The research outcomes include a detailed comprehension of the mechanisms underlying customer loyalty, empirical data on the multidimensional factors influencing platform preferences, and methodological innovations applicable ...
Added: August 26, 2026
Medushevsky A. N., Liberal.ru 2026
The Liberal Mission Foundation continues to introduce readers to new concepts of democracy and relevant publications. This discussion focuses on the challenges facing democracy in the era of globalization, as addressed in two recent books: *The Backsliders: Why Leaders Undermine Their Own Democracies* by S.C. Stokes (2025) and *Critical Theories and the Postsocialist Challenge: Race, ...
Added: August 26, 2026
Keldina L., Ивашечкина Л. Г., Жаринов В. В. et al., М.: КноРус, 2023.
Материал излагается с учетом современных тенденций в организации и ведении бухгалтерского учета экономическими субъектами Российской Федерации. В каждом разделе содержится теоретический и практический материал, нормативная база, рисунки, схемы и
таблицы. Теоретический материал представлен как в традиционном виде, так и в виде схем. Каждый раздел завершается контрольными вопросами, тестами и заданиями для самоконтроля. Приложения содержат иллюстративный материал: ...
Added: August 26, 2026
Medushevsky A. N., Сравнительное конституционное обозрение 2026 Т. 35 № 2 (167) С. 4–29
In the context of the rapid changes in the modern world associated with globalization, informatiza tion, and the revision of ethical standards of mass behavior, legal theory faces a number of problems — the loss of consensus in understanding global constitutionalism, growing disagreements regard ing its values and principles, and unclear prospects for the future. ...
Added: August 26, 2026
Eduard Sopin, Nazarin A., Begishev V. et al., IEEE Transactions on Vehicular Technology 2026 Vol. 75 No. 6 P. 10995–11007
Aimed at rate-greedy applications having extreme requirements for the data rate at the air interface, 5G New Radio (NR) systems may experience problems when the number of user equipment (UE) in the coverage of the cell increases due to limited capacity of the physical downlink control channel (PDCCH).The aim of this study is to explore ...
Added: August 26, 2026
Джонов А. Т., Avdoshin S. M., Информационные технологии 2026 Т. 32 № 8 С. 421–427
This systematic review presents an analysis of the "Vibe Coding" methodology — a contemporary approach to the iterative software development process using Large Language Models (LLMs). Code generation tools are transforming software development by enabling programmers to formulate tasks and describe the desired behavior of software in natural language, while LLMs generate source code corresponding ...
Added: August 25, 2026
Melman A., Evsyutin O., Journal of the Franklin Institute 2026 Vol. 363 No. 15 Article 109005
Open access to images creates opportunities for violation of the authors' rights. Digital watermarks can be used to securely publish images online. They are invisibly added into the images before publication and can be extracted at any time to verify ownership. However, achieving a balance between embedding imperceptibility and robustness to image processing operations is ...
Added: August 25, 2026
IEEE, 2026.
It is with great pleasure that we welcome all the participants of the 12th Conference on Control, Decision and Information Technologies (CoDIT 2026) at the Polytechnic University of Bari – Orabona Street 4, 70125 Bari, Italy, July 13-16, 2026. CoDIT has grown to become one of the largest conferences organized in Europe and in the ...
Added: August 24, 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
Dvoynikova A., Verkholyak O., Karpov A., Lecture Notes in Computer Science 2020 Vol. 12335 LNAI P. 136–144
Speech can be characterized by acoustical properties and semantic meaning, represented as textual speech transcriptions. Apart from the meaning content, textual information carries a substantial amount of paralinguistic information that makes it possible to detect speaker’s emotions and sentiments by means of speech transcription analysis. In this paper, we present experimental framework and results for ...
Added: April 24, 2026
Behzadidoost R., Quality and Quantity 2021 Vol. 56 No. 5 P. 3053–3084
In the big data era, there is a necessity for effective frameworks to collect, retrieve, and manage data. As not all tweets are hashtagged by users, retrieving them is a complicated task. To address this issue, we present a rule-based expert system classifier that uses the well-known concept of fingerprint in the judicial sciences. This ...
Added: March 27, 2026
Behzadidoost R., Mahan F., Izadkhah H., Information Sciences 2024 Vol. 652 Article 119746
Granular computing involves a comprehensive process that encompasses theories, methodologies, and techniques to solve complex problems, rather than being just an algorithm. As the volume of generated data continues to grow rapidly, data-driven problems have become increasingly complex. Although deep learning models have outperformed traditional machine learning models in solving complex problems, there is still room for enhancing their performance. ...
Added: March 12, 2026