?
EU sectoral stocks amid geopolitical risk, market sentiment, and crude oil implied volatility: An asymmetric analysis of the Russia-Ukraine tensions
Resources Policy. 2023. Vol. 82. Article 103515.
This study examines the asymmetric relationships between EU sectoral stocks and oil, oil implied volatility, geopolitical risk, and market sentiment during turbulent times of geopolitical unrest. In a set of parametric and nonparametric quantile-based techniques, we employ daily data on eleven sectors of economic activity in addition to crude oil prices (WTI) and three sentiment-driven indices tracking the crude oil volatility (OVX), geopolitical risk (GPR), and investor sentiment (VIX) over the period between January 2020 and October 2022. Findings from the causality-in-quantile-means test suggest that the sectoral stock returns from the EU are asymmetrically predicted by WTI, OVX, VIX and GPR. The findings from the quantile regression and quantile-on-quantile regression metrics demonstrate that (i) in bearish periods, EU sectoral stocks could hedge against GPR, (ii) WTI does not serve as a hedge for EU stocks regardless of the sector of economic activity, and (iii) OVX and VIX possess some hedging and safe-haven attributes against EU stocks. These findings have notable implications for market regulation and portfolio management.
Keywords: хеджирование диверсификацияdiversificationквантильная регрессиягеополитический рискhedgeEconomic policy uncertaintyсентимент инвесторов investor sentimentQuantile-on-quantile regressiongeopolitical riskRussian-Ukrainian conflictроссийско-украинский конфликтSafe-havenCausality-in-quantilesактивы-убежищаQuantile regression modelнеопределенность экономической политикиквантильная причинность
Lola I. S., Asoskov D., [б.и.], 2026.
Центр конъюнктурных исследований Института статистических исследований и экономики знаний НИУ ВШЭ представляет информационный обзор, характеризующий деловые тенденции, сложившиеся в отрасли информационных технологий (ИТ-отрасль) в 2025 г.
Работа базируется на результатах ежегодного специализированного конъюнктурного мониторинга деловой и цифровой активности около 700 организаций, оказывающих информационно-технологические услуги (код по ОКВЭД 2 – 62, 63). Мониторинг проводился АНО ИИЦ «Статистика России» по заказу ...
Added: May 20, 2026
Lola I. S., Ostapkovich G. V., Asoskov D. et al., ИСИЭЗ НИУ ВШЭ, 2026.
Центр конъюнктурных исследований Института статистических исследований и экономики знаний Национального исследовательского университета «Высшая школа экономики» подготовил информационно-аналитический материал, характеризующий экономические настроения российских предпринимателей и потребителей в I кв. 2026 г. - «Индекс экономического настроения (ИЭН ВШЭ)». Информационная база мониторинга содержит накопленную за 1998-2026 гг. категориальную статистику «балансов мнений», базирующуюся на ответах респондентов. Такая «мягкая» качественная статистика ...
Added: May 20, 2026
Кумар В., MSW Management 2026 Vol. 36 No. 1s P. 1746–1753
This study explores how profitability, export efficiency, and cost functionality correlated with the financial sustainability index (FSI) for Indian manufacturing companies and the development of the early warning system. The study was conducted on 50 Indian manufacturing companies those participate in the export business, whose data has been collected for the nine quarters from 2023 ...
Added: May 19, 2026
Tekic A., Nguen C. M., Business Horizons 2026 Article In Press, Journal Pre-proof
Fast-moving consumer goods (FMCG) firms face intense pressure to internationalize, yet the traditional playbook—lengthy R&D cycles, costly market research, and standardized campaigns—often struggles to deliver local relevance at speed. This article argues that crowdsourcing—digitally mediated, large-scale consumer participation—can complement established internationalization tools by mobilizing local knowledge and community endorsement to mitigate key aspects of the ...
Added: May 19, 2026
Ulanov V. L., Springer, 2026.
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, ...
Added: May 19, 2026
Semerikova E. V., Салов А. И., The Journal of the New Economic Association 2026 Vol. 1 No. 70 P. 221–237
In this paper, we assess the extent of agglomeration externalities that
mirror on labour productivity gains while accounting for the direct and indirect effects
of transportation exposure. To this end we combine data on the local average wage and
employment with comprehensive information on the public transportation and road networks
of the Saint Petersburg Metropolitan Area, one of the ...
Added: May 19, 2026
Voytenkov V., Emerging Markets Review 2026 No. 101482 P. 1–37
This paper examines the effects of the 2008, 2014, and 2020 crises on household consumption patterns in Russian regions. The micro-level analysis is conducted using quarterly data from Rosstat's Household Budget Survey. Dependent variables are expenditure on food at home, out-of-home, alcohol, non-food items, services. Explanatory variables are household characteristics and dummy variables that capture ...
Added: May 18, 2026
Lodiagin B., Nazarova V., Rincon C. J., URBAN, PLANNING AND TRANSPORT RESEARCH 2026 Vol. 14 No. 1
This study applies an established social cost–benefit analysis (CBA), combined with sequential shock scenarios (COVID-19 and the post-2022 sanctions) and Monte Carlo sensitivity analysis, to evaluate the welfare robustness and recovery dynamics of the Pulkovo Airport PPP renovation project (St. Petersburg, Russia). Using traffic, operations, and cargo forecasts through 2040, we compare a pre-shock baseline ...
Added: May 17, 2026
Brodetskiy G., Gerami V., Shidlovskii I. et al., Транспорт: наука, техника, управление 2026 № 3 С. 3–8
В статье предложен специальный метод модификации процедур многокритериальной оптимизации. Он позволяет расширить набор критериев выбора, чтобы учитывать предпочтения лица, принимающего решения (ЛПР) как раз в моделях транспортного обеспечения работы цепей поставок. Реализуется изменение наклона направляющей для линий уровня критерия выбора в пространстве значений частных критериев (с нацеливанием выбора на утопическую точку). Разработаны и представлены требуемые ...
Added: May 17, 2026
Федоров Н. С., Финансовый журнал 2025 Т. 17 № 6 С. 99–112
The DCF model is one of the most commonly used models in valuing companies for investment deci sions. Nevertheless, estimating the accuracy of this model remains an important research question. This article presents an assessment of the accuracy of DCF model specifications based on analyzing the variance of fair share prices of companies listed on ...
Added: May 15, 2026
Федоров Н. С., Финансы и бизнес 2025 Т. 21 № 3 С. 34–50
Currently, the role of artificial intelligence is increasingly playing a significant role in various fields, including the increasing role of machine learning in finance. On the other hand, company valuation remains an important part of research due to its difficulty in correctly predicting the accuracy of target stock prices. This study provides an analysis of ...
Added: May 15, 2026
Baysha O., Trofimov V., Российская школа связей с общественностью 2026 № 40 С. 171–191
A growing number of scholars are warning about the dangers of the reproduction by generative AI of socio-political and ideological biases absorbed by models from the texts on which they were trained. If a given model was trained on Western media texts, it may generate narratives that reproduce West centric views of world events. This ...
Added: April 21, 2026
Salamatov V., Базелюк В. Н., Бизнес. Общество. Власть 2025 № 3 (57) С. 218–238
The article is dedicated to analyzing the experience of the Islamic Republic of Iran under prolonged sanction pressure that has been ongoing since 1979. The main focus is on three key aspects: historical stages of sanctions implementation, their impact on the economy, politics, and social sphere of the country, as well as Iran's methods of ...
Added: February 13, 2026
Stolbov M., Shchepeleva M., Economic Systems 2025 P. 1–14
We investigate the time-varying role of Russia in the international causal network of financial stress. The network is derived using the factor-adjusted network estimation for high-dimensional time series (FNETS), which is applied to text-based financial stress indices for 66 countries. We run this technique for sequentially expanding time windows (ranging from 2000Q1:2013Q4 to 2000Q1:2023Q4). Based ...
Added: February 12, 2026
Fayzulin M., Teplova T., Kurkin A., Прикладная эконометрика 2025 Т. 79 С. 99–121
The paper analyses the dynamic connectedness between trading volumes in the Russian stock market and the global cryptocurrency (Bitcoin) market during periods of external shocks (the COVID‑19 crisis and the Russia‑Ukraine conflict) from 2019. Using the TVP‑VAR model and estimates of system variable connectivity, liquidity spillovers (cash flows) are identified between the considered asset classes. For the first time, we analyse the network connectedness of investor sentiment for the most popular Russian stocks and Bitcoin and estimate the role of sentiment in liquidity spillovers. The results demonstrate that Bitcoin’s daily trading volume predominantly acts as a recipient of shocks from the Russian stock market. Meanwhile, the overall coherence in the system was higher during the COVID‑19 crisis period compared to the Special Military Operation (SMO). The study confirms the existence of a correlation between investor sentiment on the Russian stock and cryptocurrency markets. At the beginning of the analyzed period,in 2019, when interest in crypto assets investing began to grow rapidly, this correlation was strongly pronounced.
There is a connectedness between two sentiment indices: on the stock market and crypto‑assets. The intensity of the correlation prevails in the COVID‑19 inception period, significantly exceeding the level observed in the SMO period. This sentiment metrics behaviour may imply adaptation of the Russian stock market to external shocks, as well as retail investors’ expectations of short‑term SMO in early 2022. ...
Added: February 6, 2026
Besstremyannaya G., Golovan S., Econometrics and Statistics 2026 Vol. 37 P. 199–213
The purpose is to enable inference in case of quantile regression with endogenous covariates and clustered data. It is proven that the instrumental variable quantile regression estimator is consistent where there is correlation of errors within clusters, and an asymptotic distribution for the estimator, which may be used for inference for a given quantile τ, is derived. As regards inference based on the entire instrumental ...
Added: January 13, 2026
Zaiane S., Tizaoui J., / NRU Higher School of Economics. Series FE "Financial Economics". 2025.
This study investigates the complex, non-linear relationship between Earnings Management (EM) and ESG performance in banks operating in Gulf Cooperation Council (GCC) countries. Using a multi-method approach (Quantile, Threshold, and Quantile-on-Quantile Regression) on data from 2010–2024, we find that EM most severely harms median-ESG performers, exhibits a sharp negative impact beyond a specific threshold, and ...
Added: November 16, 2025
Regina Gataullina, Maria Kokoreva, Journal of Corporate Finance Research 2025 Vol. 19 No. 2 P. 38–52
This study investigates the relationship between economic policy uncertainty (EPU) and corporate risk-taking in Russian firms, focusing on the moderating effects of corporate governance mechanisms. Using a panel dataset of 126 companies listed on the Moscow Exchange Broad Market Index from 2010 to 2021, the study applies a fixed-effects model to examine how corporate governance ...
Added: October 7, 2025
Molostvov V., Advances in Systems Science and Applications 2025 Vol. 25 No. 1 P. 1–11
A two-criteria vector optimization problem – finding Pareto-optimal solutions in linear systems with interval uncertainty of coefficients – is considered. The problem of resource allocation to multiple activities is investigated. The uncertainty-adjusted income is a bilinear function, linear by strategy under fixed uncertainty and by uncertain parameters under fixed strategy. Guaranteed income is a linear ...
Added: August 26, 2025
Decoding Russian stock market trends through ensemble methods and sentiment analysis of social media
Teplova T., Fayzulin M., Annals of Operations Research 2025 Vol. 353 P. 1123–1172
The purpose of this paper is to investigate the impact of sentiment metrics derived from social media on stock market attributes, including returns and trading volumes, within three liquidity classes in the Russian emerging market. In this paper, we conduct a textual analysis of users' posts from two Russian-language online platforms: Tinkoff Pulse and MFD. ...
Added: August 5, 2025
Nagymanova L., Limonov L. E., Kolchinskaya E., Российские регионы в фокусе перемен: сборник докладов. – Екатеринбург 2025 С. 113–116
The study examines the interaction of city-forming enterprises with various counterparties both within the city and beyond. The main attention is paid to the number of each level, which allows us to assess the degree of integration of the enterprise into the local economy, its dependence on it and its impact on it. In the ...
Added: July 25, 2025
Kuslyaikin A., Экономическая политика 2025 Т. 20 № 1 С. 30–55
This paper is one of the first studies to investigate how downside market risk affects cryptocurrency returns. Based on weekly data for more than 900 cryptocurrencies from 2014 to 2018, downside market risk is considered in three different forms as it arises in the cryptocurrency market, the aggregate alternative investment market, and the stock market. ...
Added: April 7, 2025