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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
CHEN Y., Howlett R. J., Tanaka S. et al., Springer, 2026.
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible ...
Added: August 16, 2026
Shaposhnikov S., Asia and Africa today 2025
Digital transformation of small and medium enterprises (SMEs) in India is critical to enhancing competitiveness and improving economic performance. It also helps address unemployment and regional inequality. However, SMEs face financial constraints, a digital skills shortage, resistance to change, and cybersecurity challenges. The authors analyze the impact of government initiatives such as Digital India, CGTMSE, ...
Added: August 14, 2026
Yu Z., Wang J., Wang Z. et al., Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2026 Vol. 384 P. 1–16
The integration of data-driven and knowledge-driven approaches in generative geospatial modelling (GGM) is often hindered by their mathematical incompatibilities. Here, we propose a geometric algebra (GA)-based framework that employs a unified multi-vector representation to fuse heterogeneous data and diverse knowledge. The framework facilitates structured reasoning and hypothesis generation through a task-adaptable, five-stage cycle: representation, reasoning, ...
Added: August 13, 2026
Cham: Springer, 2026.
This book constitutes the proceedings of the 10th International Workshop Empowering Novel Geometric Algebra for Graphics and Engineering, ENGAGE 2025, held in conjunction with Computer Graphics International conference, CGI 2025, in Hong Kong, China, on July 14, 2025.
The 14 full papers included in this volume were carefully reviewed and selected from 16 submissions. The papers ...
Added: August 13, 2026
Bessonova E., Мякишева С. М., Новиков С. В., Вопросы экономики 2026 № 8 С. 95–124
This paper examines total factor productivity (TFP) dynamics among Russian enterprises from 2018 to 2024, using translogarithmic production function estimates for 290 industries. To address endogeneity and functional dependence issues, we employ the Ackerberg—Caves—Frazer methodology with a control function approach. Our findings reveal distinct sectoral patterns. In mining, both simple average and value-added-weighted TFP rose ...
Added: August 13, 2026
BRICS Journal of Economics 2026 Vol. 7 No. 2 P. 185–209
This study provides an empirical analysis of the relationship between trade and the environment in Singapore. It offers valuable insights into reconciling economic growth and environmental sustainability in this globally significant trade center and contributes significantly to policy formulation for trade-oriented economies. The paper examines empirical trends in trade openness, foreign direct investment (FDI), economic ...
Added: August 13, 2026
Gokhberg L., Kutsenko E., Lebedeva S. et al., М.: ИСИЭЗ ВШЭ, 2025.
This publication prepared by the Russian Cluster Observatory of the National Research University Higher School of Economics Institute for Statistical Studies and Economics of Knowledge is a followup of the 2021 publication dedicated to the statistical measurement of the creative economy of Moscow.
It provides the basic economic indicators of Moscow’s creative industries, assessment of the ...
Added: August 13, 2026
Evgeniia K., Cardoni A., Makeeva E. Y. et al., Business Strategy and the Environment 2026 P. 1–17
This study investigates the relevance of sustainable governance (SG) and its impactful elements in the context of the Russian market, a unique case of an isolated economy, using market value as a proxy for concept relevance. Adopting stakeholder and institutional approaches, this study uses panel data from 152 firms listed on the Moscow Exchange from ...
Added: August 12, 2026
Ratnikov F., European Physical Journal: Special Topics 2026 P. 1–10
EEG recordings are often affected by the loss or corruption of individual channels due to electrode detachment, poor scalp contact, or external interference. Such channels must be accurately reconstructed before further analysis. In this study, we investigate Next-Generation Reservoir Computing (NG-RC) as a data-driven approach for reconstructing corrupted EEG channels and compare its performance with ...
Added: August 12, 2026
Minets M., Krasnozhenov G., Trofimova E. et al., PeerJ Computer Science 2026 Vol. 12 Article e4063
This article presents CAD2TechSpec, a novel framework for automating design processes within computer-aided design (CAD) systems by leveraging multimodal large language models (LLMs). The framework enables the analysis and generation of detailed design specifications, including the automated creation of machining process plans. Our system architecture combines 3D model rendering, dimensionality reduction techniques, and the capabilities ...
Added: August 12, 2026
Мизинов П. В., Journal of Computer Virology and Hacking Techniques 2023 No. 20 P. 383–396
Biometric vein recognition systems are vulnerable to presentation attacks. Traditionally, researchers have used a near-infrared (NIR) drawing of the user’s vascular bed to create a presentation attack instrument (PAI). This paper investigates the feasibility of using free software to capture a venous pattern of the hand without NIR under normal lighting conditions and to create ...
Added: August 11, 2026
Saraev V., Medovnikov D., Розмирович С. Д. et al., М.: Иннопрактика, 2020.
This report presents a brief summary of the results of a study devoted to the analysis of innovation practices in large Russian companies, their comparison with the most successful international experience, and the identification of opportunities to improve the effectiveness of innovation development tools. ...
Added: August 11, 2026
Rozhkova K., Roshchin S., Roshchina Y., Вопросы экономики 2026 № 8 С. 29–54
Стремительное развитие генеративного искусственного интеллекта (генИИ) усилило дискуссии о том, как новые технологии трансформируют рынок труда, особенно позиции и задачи, которые еще недавно мог выполнять только человек. Эксперименты показывают, что генеративный ИИ может обеспечить значительный прирост производительности, особенно менее квалифицированных сотрудников, что может приводить к возникновению индивидуальной зарплатной отдачи на рынке труда. Впервые для России ...
Added: August 11, 2026
Puchkov E., Knyaginina N., М.: Национальный исследовательский университет "Высшая школа экономики", 2026.
The report examines the ecosystem supporting the development of social entrepreneurship in Europe. It considers the historical evolution of the sector, the approaches adopted by the European Union and individual countries to defining and recognising social enterprises, and the differences between European and Russian models. Particular attention is paid to the role of social enterprises ...
Added: August 11, 2026
Междуреченск: Кузбасский государственный технический университет им. Т.Ф. Горбачева, 2026.
В сборнике представлены материалы докладов по направлениям Международной научно-практической конференции «Современные тенденции и инновации в науке и производстве»: 1. Технологии и инновации в горной промышленности; 2. Экономика, управление, финансы; 3. Информационные системы и технологии; 4. Юный исследователь. Целью этой конференции является обмен передовым опытом, повышения квалификации их участников и, вместе с тем, это способ установления и укрепления научного сотрудничества среди ...
Added: August 11, 2026
Fedyunina A., Drapkin I. M., Simachev Y. V., Area Development and Policy 2026
Trade sanctions generate asymmetric shocks in developing economies, reshaping their integration into global value chains (GVCs). Using a gravity framework covering 68 developing countries over the period 2000–2021, this paper examines how sanctions affect forward and backward GVC linkages. We find that sanctions significantly reduce both dimensions of GVC participation: backward linkages suffer deeper and ...
Added: August 10, 2026
Bereznoy A., Мировая экономика и международные отношения 2026 Т. 70 № 8 С. 16–26
Facing the growing uncertainty of the current global business environment leading multinationals are increasingly turning to strategic foresight (SF) which becomes the integral component of their corporate strategic management systems. The distinctive feature of SF is related to the recognition of multiple futures and the abilities of major market players to influence the occurrence of ...
Added: August 10, 2026
Trubochkina N. K., М.: Издательство «Юрайт», 2026.
This textbook is designed to develop students' holistic understanding of modern production processes and methods for their analysis and management using machine learning technologies. In the context of the fourth industrial revolution, where traditional engineering disciplines are inextricably intertwined with intelligent data processing methods, there is a growing need for specialists capable of integrating knowledge ...
Added: August 8, 2026
Potanin B., Statistics and Computing 2026 Vol. 36 Article 200
We propose double machine learning (DML) estimators for a partially linear model (PLM) with endogenous treatments and multivariate sample selection. We prove asymptotic normality of the estimators under mild regularity conditions and study finite sample properties on simulated data. The results demonstrate the importance of addressing sample selection in PLMs and the usefulness of the ...
Added: August 8, 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