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Sentiment-based indicators of real estate market stress and systemic risk: international evidence
Annals of Finance. 2023. Vol. 19. P. 355–382.
Stolbov M., Shchepeleva M.
We propose sentiment-based indicators of real estate market stress for the USA, the UK, Canada, Australia, India, and on the global scale. The global and country-level indicators are based on a novel methodology synthesizing textual analysis of real estate research and Google search data. Using mixed frequency vector autoregressions, we show that in the USA, the UK, Australia and India, the sentiment-based indicators are found to mediate the relationship between real estate prices and systemic financial risk. In particular, for the UK, there is a vicious circle involving the interaction among the three variables: the sentiment-based indicator of real estate market stress unidirectionally leads systemic risk, the latter impacts real estate prices, whereas the prices drive the stress sentiment. Canada appears the only sample country where real estate market stress sentiment is unrelated to real estate prices and systemic risk. On the global scale, there is a bi-directional linkage between the stress sentiment and real estate prices. Overall, our empirical findings suggest that policymakers and real estate market participants should account for sentiment regarding real estate market stress in their decision-making.
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Центр конъюнктурных исследований Института статистических исследований и экономики знаний НИУ ВШЭ представляет информационно-аналитический материал «Потребительские настроения населения в III квартале 2026 г.», подготовленный в рамках Программы фундаментальных исследований НИУ ВШЭ.
В основу обзора положены ежеквартальные опросы более 5 тыс. человек в возрасте от 16 лет и старше. Такие опросы Федеральная служба государственной статистики (Росстат) проводит во всех субъектах ...
Added: October 6, 2026
Rastvortseva S., Tyushkevich Y., Salushkina Z. S., Journal of regional and international competitiveness 2026 Vol. 7 No. 2 P. 38–49
This paper examines the contemporary models of international competitiveness adopted by Big Tech corporations between 2010 and 2025. The study aims to identify the internal drivers underpinning the resilience of technological giants and to assess their capacity to withstand external shocks, including sanctions, geo-economic fragmentation, and regulatory shifts. To achieve this objective, the authors employ ...
Added: October 5, 2026
De Gruyter, 2026.
Post-Soviet Eurasia is one of the world's most geopolitically consequential and rapidly transforming regions. Developments across it increasingly reshape political, economic and social relations far beyond its borders. Understanding these dynamics is therefore both intellectually urgent and analytically demanding, requiring an interdisciplinary approach capable of moving beyond established categories and fragmented national perspectives.
This handbook provides ...
Added: October 5, 2026
М.: Национальный исследовательский университет "Высшая школа экономики", 2026.
В шестнадцатом выпуске электронного издания «Вестник Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMSHSE)» представлены работы, подготовленные на основании данных лонгитюдного обследования домохозяйств «Российский мониторинг экономического положения и здоровья населения НИУ ВШЭ» (РМЭЗ НИУ ВШЭ) за 1992–2024 гг. В выпуске рассматриваются динамика доходов и расходов российских домохозяйств, тенденции развития рынка труда, социальное самочувствие ...
Added: October 5, 2026
Милицына П. С., Rozhkova K., Roshchin S. et al., Высшее образование в России 2026 № 8-9 С. 94–115
Привлечение и удержание молодых педагогов в школах является одним из важнейших вопросов для преодоления проблемы кадрового дефицита в системе образования. В статье анализируются особенности трудоустройства выпускников российских вузов педагогических специальностей выпуска 2021–2022 гг. На основе тотальных административных данных выявлены факторы, влияющие на вероятность их первоначального трудоустройства в школу и последующего закрепления в профессии. Результаты показывают, ...
Added: October 5, 2026
Автухова Е. Э., Larionov A., Плачинда К. Д., М.: Экономический факультет МГУ им. 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
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
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
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
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
Nikulina Y., Jamali Jaghdani T., Götz L. et al., / Series "Working Papers". 2026.
The impact of state subsidies on Russia's post-Soviet dairy output remains controversial; this study provides an empirical analysis of that relationship. Using an unbalanced panel dataset of 123 dairy enterprises in the Leningrad Region spanning the period from 2010 to 2023, we employ stochastic frontier analysis to assess these relationships. The results indicate that subsidies ...
Added: September 30, 2026
Nazarova A. G., Журнал Новой экономической ассоциации 2026 № 3(72) С. 87–104
The article explores how results of constructing aggregate national transfer accounts’ (NTA) estimates can be used for macroeconomic analysis and forecasts of current transfers in home economy. It presents the findings of the author’s study of their transfer modules over retrospective period of more than 10 years. The emphasis in the paper is focused on ...
Added: September 30, 2026
Kapeliushnikov R., / Высшая школа экономики. Серия WP3 "Проблемы рынка труда". 2026. № WP3/2026/02.
The paper is the first attempt in the Russian literature to assess returns to platform employment in the Russian labor market. The theory offers no clear predictions regarding its impact on workers’ earnings: there might be both a premium and a penalty. We distinguish three groups of workers: employees; self-employed using internet-platforms; self-employed not using ...
Added: September 28, 2026
Dvoynikova A., Karpov A., , in: Компьютерная лингвистика и интеллектуальные технологииВып. 22.: М.: Изд-во РГГУ, 2023. P. 51–61.
This article describes solutions to several problems: CMU-MOSEI database preprocessing to improve data quality and bimodal multitask classification of emotions and sentiment. With the help of experimental studies, representative features for acoustic and linguistic information are identified among pretrained neural networks with Transformer architecture. The most representative features for the analysis of emotions and sentiments ...
Added: April 25, 2026
Vlasov A., Egorov A., Karminsky A. M., FINTECH 2026 Vol. 5 No. 1 Article 21
Amidst the escalating geopolitical fragmentation of the global financial system, divergent stablecoin architectures are emerging. This study employs Qualitative Comparative Analysis (QCA) and introduces a formalized ‘Geopolitical Stablecoin’ (GPSC) model to conduct a systematic comparison of three representative cases: A quasi-sovereign asset within a coordinated closed-loop system, a commercial asset with global open-market circulation, and a ...
Added: March 30, 2026
Shchepeleva M., Procedia Computer Science 2025 No. 266 P. 447–455
We investigate the transmission of systemic stress in a sample of selected advanced and emerging market economies for the period between August 2008 and June 2024. Using national SRISK indices, we estimate high-dimensional vector autoregressions and conduct Granger causality tests. We display the lead-lag linkages among the countries as a network and examine its topology. We find that ...
Added: February 12, 2026
Teterin M., Экономическая политика 2025 Т. 20 № 4 С. 82–117
Bitcoin, Ether, Litecoin and XRP are among the largest cryptocurrencies and together have a market capitalization that constitutes a substantial portion of the digital asset market. At the same time, the cryptocurrency market differs from that of traditional financial assets because it has greater price volatility, which makes constructing more accurate forecasts of daily volatility ...
Added: September 2, 2025
Lapteva E., Pilnik N., Вестник Санкт-Петербургского университета. Серия 5. Экономика 2025 Т. 41 № 3 С. 340–363
The article systematizes, synthesizes, and compares the results of studies aimed at modeling and assessing the effectiveness of macroprudential policy both at the level of individual countries and in a cross-country context. It provides an interdisciplinary review that integrates empirical findings with theoretical frameworks of macroprudential regulation, offering a novel analytical perspective on its effectiveness ...
Added: June 30, 2025
Shchepeleva M., Procedia Computer Science 2024 Vol. 242 P. 51–56
We test the predictive performance of different ensemble methods for forecasting systemic risk in Russia for the period 2008-2024. In contrast to the existing research on machine learning ensemble techniques, we find that conventional random forest works better for the Russian data. Based on this model, we additionally conduct variable importance analysis. We identify that ...
Added: June 17, 2025
Balakina Y. V., Yin Z., Известия Саратовского университета. Новая серия. Серия: Филология. Журналистика 2025 Vol. 25 No. 2 P. 229–236
The aim of the present study is to trace changes in the construction of the image of China in the British media during two crisis periods: the COVID-19 pandemic and the Russian military operation. Each period encompasses a panic (escalation) phase and a recovery (stagnation) phase. Using data from the Factiva database, 70,356 articles published ...
Added: May 31, 2025
Stolbov M., Shchepeleva M., Borsa Istanbul Review 2025 Vol. 25 No. 2 P. 350–359
We propose a sentiment-based financial stress index (S–FSI) for Russia from January 2018 to June 2024. The index is based on the intensity of internet searches in Russian via Google and Yandex for terms with negative connotations about financial stability. The terms in our index form a unique dictionary that captures both global and country-specific ...
Added: February 20, 2025