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This study examines whether CEO power influences the book-based and market-based performance of Russian companies when it is restricted by the presence of essential shareholders, namely, state and influential businessmen.

Managerial power is divided into structural, ownership, expert and prestige. The proposed power metrics include not only CEOs but also the board of directors' characteristics that may restrict or enhance CEO power. The empirical analysis is based on the sample of 90 large traded Russian firms, which shares are included in the Moscow Stock Exchange Broad Market Index (MICEX BMI), observed from 2012 to 2019.

Panel data analysis suggests that higher board ownership and tenure may restrict CEO power, which in turn would be beneficial for corporate performance. the authors also see that in companies owned by influential businessmen, CEO power influence on M/B value is more negative, while state ownership does not moderate it. CEO power metrics, based on political experience and tenure, affect corporate performance differently in companies affiliated with extractive industries.

First, the authors consider two channels through which a company in emerging markets may get additional resources: CEOs and influential owners. Second, the authors develop power metrics based on Finkelstein's managerial power classification (1992) and the idea of relative power proposed by Bebchuk et al. (2011). It allows identifying whether the board of directors' may constrain or enhance CEO power to raise corporate performance. Third, the authors analyze developing Russian markets that represent a good ground for testing the question, whereas empirical research on Russia is relatively scarce (Grosman and Leiponen, 2018). Fourth, the authors pay particular attention to the CEO power in the extractive industry, strategically important for the Russian economy.

本研究擬探討行政總裁的權力，若因有不可或缺的股東 - 即國家和具影響力的實業家 - 的存在而受到約束時，其權力會否影響俄羅斯公司以賬簿為基礎和以市場為基礎的表現

管理權分為結構性的、所有權的、專家的和聲望的。提出的權力指標不但包括行政總裁，也涵蓋或會限制或增加行政總裁權力的董事會特徵。本研究的實證分析法是基於90間股份被納入莫斯科股票交易廣泛市場指數的大型俄羅斯上市公司樣本，觀察期由2012年至2019年

面板數據分析顯示、較高的董事會所有權和較長的任期或會限制行政總裁的權力，這因此有利於提升企業績效。我們亦看到，在具影響力的企業家擁有的公司裡，行政總裁權力對市價淨值的影響是較負面的，而國有制沒有把它減低。就隸屬採掘業的公司而言，基於政治經驗和任期的行政總裁權力指標，會對企業績效帶來不同的影響

(一) 我們考慮在新興市場公司可取得額外資源的兩個途徑：行政總裁和具影響力的所有者。(二) 我們基於芬克爾斯坦 (Finkelstein, 1992) 的管理權分類，以及 Bebchuk et al. (2011) 所提出相對功率的學說，建立了權力指標。憑著這權力指標，我們可鑑定董事會會限制、抑或增強行政總裁提升企業績效的權力。(三) 我們分析發展中的俄羅斯市場，其為測試我們問題的良好地方，而探討俄羅斯的實證研究較為稀有 (Grosman and Leiponen, 2018) 。(四) 我們特別關注在採掘業的行政總裁權力，而採掘業對俄羅斯經濟來說、是具有重要戰略意義的

The conflict in Russian Ukraine is a problem for the world economy because it hinders growth and drives up inflation when it is already high. The trade route between India and Russia is also impacted by the Russia-Ukraine crisis. This study aims to compile the most recent data on how the present global economic crisis is affecting it, with particular emphasis on the Indian economy.

This research develops a mathematical forecasting model to evaluate how the Russia-Ukraine crisis would affect the Indian economy when perturbations are applied to the major transport sectors. Input-output modeling (I-O model) and interval programing (IP) are the two precise methods used in the model. The inoperability I-O model developed by Wassily Leontief examines how disruption in one sector of the economy spreads to the other. To capture data uncertainties, IP has been added to IIM.

This study uses the forecasted inoperability value to analyze how the sectors are interconnected. Economic loss is used to determine the lowest and highest priority sectors due to the Russia-Ukraine crisis on the Indian economy. Furthermore, this study provides a decision-support conclusion for studying the sectors under various scenarios.

In future studies, other sectors could be added to study the Russian-Ukrainian crises’ effects on the Indian economy. Perturbation is only applied to transport sectors and could be applied to other sectors for studying the effects of the crisis. The availability of incomplete data is a significant concern in this study.

Russia-Ukraine conflict is a significant blow to the global economy and affects the global transportation network. This study discusses the application of the IIM-IP model to the Russia-Ukraine conflict. It also forecasts the values to examine how the crisis affected the Indian economy. This study uses a variety of scenarios to create a decision-support conclusion table that aids decision-makers in analyzing the Indian economy’s lowest and most affected sectors as a result of the crisis.

This paper explores the relationship between earnings management and firms' value through the moderating effect of the missing elements – corporate social responsibility (CSR) disclosure and state ownership in Russian companies. The main argument of the paper is that CSR disclosure can be used as a mitigating mechanism to weaken the negative relationship between earnings manipulation and market value. Additionally test whether state ownership is an important moderating factor in this relationship are conducted as state has always played an important role in the emerging Russian market.

The hypotheses are tested on panel data for 223 publicly listed Russian firms for the period 2012–2018. A number of robustness tests are used to check the obtained results for consistency. Following previous research GMM method is employed to address endogeneity concerns.

Supported by stakeholder theory, it is observed that firms that disclosed more CSR information experience a weaker negative relationship between earnings management and market value because investors and other stakeholders positively evaluate a positive CSR image. This negative effect of earnings management on market value is even weaker for state-owned companies as market participants appreciate involvement of state-owned companies in CSR activities and place greater expectations on these firms to be responsible without clear understanding whether these actions are “window dressing” for this type of companies or not.

The study results provide new insights into the relation between earnings management, firm's value, CSR disclosure and state ownership in emerging-market firms. The paper highlight the importance of considering country-specific factors, such as state ownership, while analysing the market reaction on CSR disclosure and earnings management since the institutional peculiarities may help to explain differences in the obtained results.

This paper aims to discuss the firm productivity premium for servitized firms. It discusses servitization across the product value chain and estimates the effects of the range and extent of servitization on productivity premium in manufacturing firms.

This paper develops a conceptual framework and tests the hypotheses on the effects of servitization on productivity premium using linear regression models with a sample of 20,837 Russian manufacturing firms gathered from the Ruslana Bureau van Dijk database and the Russian customs service.

Servitized firms exhibit higher total factor productivity and labor productivity. The labor productivity premium increases with the number of services offered. However, the impact of services on productivity varies along the product value chain: postmanufacturing and postsales services enhance productivity premium, while manufacturing and back-office services diminish them. The effect of establishment services remains ambiguous.

This paper offers an analytical framework for firms to assess their servitization strategies. These strategies should be gradual, focused on enhancing firm efficiency rather than being an end goal. Firms should initiate the process by introducing services at the postproduction and postsales stages of the product creation chain to achieve productivity premium.

The paper extends the evidence on firm-level productivity drivers and contributes to the servitization theory. A servitization strategy should be portfolio-based, considering both the potential gains and losses in productivity resulting from the implementation of specific services.

Investors aim for returns when investing in stocks, making return volatility a crucial concern. This study compares symmetric and asymmetric GARCH models to forecast volatility in emerging nations like the G4 countries. Accurate volatility forecasting is vital for investors to make well-informed investment decisions, forming the core purpose of this study.

From January 1993 to May 2021, the study spans four periods, focusing on the global economic crisis of 2008, the Russian crisis of 2015 and the COVID-19 pandemic. Standard generalized autoregressive conditional heteroscedasticity (GARCH), exponential GARCH (E-GARCH) and Glosten-Jagannathan-Runkle GARCH models were employed to analyse the data. Robustness was assessed using the Akaike information criterion, Schwarz information criterion and maximum log-likelihood criteria.

The study's findings show that the E-GARCH model is the best model for forecasting volatility in emerging nations. This is because the E-GARCH model is able to capture the asymmetric effects of positive and negative shocks on volatility.

This unique study compares symmetric and asymmetric GARCH models for forecasting volatility in emerging nations, a novel approach not explored in prior research. The insights gained can aid investors in constructing more effective risk-adjusted international portfolios, offering a better understanding of stock market volatility to inform strategic investment decisions.

Understanding China's carbon dioxide (CO2) emission status is crucial for getting Carbon Neutrality status. The purpose of the paper is to calculate two possible scenarios for CO2 emission distribution and calculated input-output flows of CO2 emissions for every 31 China provinces for 2012, 2015 and 2017 years.

In this study using the input and output (IO) table's data for the selected years, the authors found the volume of CO2 emissions per one Yuan of revenue for the industry in 2012 and the coefficient of emission reduction compared to 2012.

Results show that in the industries with a huge volume of CO2 emissions, such as “Mining and washing of coal”, the authors cannot observe the reduction processes for years. Industries where emissions are being reduced are “Processing of petroleum, coking, nuclear fuel”, “Production and distribution of electric power and heat power”, “Agriculture, Forestry, Animal Husbandry and Fishery”. For the “construction” industry the situation with emissions did not change.

“Transport, storage, and postal services” and “Smelting and processing of metals” industries in China has the second place concerning emissions, but over the past period, emissions have been sufficiently reduced. “Construction” industry produces a lot of emissions, but this industry does not carry products characterized by large emissions from other industries. Authors can observe that Jiangsu produces a lot of CO2 emissions, but they do not take products characterized by significant emissions from other provinces. Shandong produces a lot of emissions and consumes many of products characterized by large emissions from other provinces. However, Shandong showed a reduction in CO2 emissions from 2012 to 2017.

This study aims to examine the dynamic bidirectional causality between oil price (OIL) and stock market indexes in net oil-exporting (Russia) and net oil-importing (China) countries.

The authors use monthly data for the period starting from October 1995 to October 2021. In this study, the bootstrap rolling-window Granger causality approach introduced by Balcilar et al. (2010) and the probit regression model are performed in order to identify the bidirectional causality.

The results show that the causal periods mainly occur during economic, financial and health crises. For oil-exporting country, the results suggest that any increase (decrease) in the OIL leads to an appreciation (depreciation) in the stock market index. The effect of the stock market on OIL is more relevant for the oil-importing country than that for the oil-exporting one. The COVID-19 consequences are demonstrated in the impact of oil on the Russian stock market. The probit regression shows that the US financial instabilities increase the probability of causality between OIL and stock market indexes in Russia and China.

The dynamic relationship between the variables must be taken into account in investment decisions. As financial instabilities in the USA drive the relationship between oil and stocks, investors should consider geopolitical, economic and financial elements when constructing their portfolios. Shareholders are required to include other assets in their portfolios since oil–stock relationship is highly risky.

This study provides further evidence of the bidirectional oil–stock causal link. Additionally, it examines the impact of financial instabilities on the probability that the OIL and the stock market index cause each other through the Granger effect.

The study examines the changes in audit market concentration, auditor choice and audit quality in Russia following International Financial Reporting Standards (IFRS) adoption. Scholars have called for further examination of the effects of IFRS adoption on auditors, with an emphasis on the importance of analyzing emerging markets that are characterized by enforcement challenges and lack of proper infrastructure. It focuses on a unique feature of Russian companies – dual audits under Russian Accounting Standards (RAS) and IFRS – and investigates changes in audit concentration and audit quality for the two audit markets.

The authors rely on the audited financial statements of Russian public companies and perform pre-/post-IFRS adoption estimation using a logit regression to ascertain whether public firms change auditors from local firms with limited IFRS expertise to those with global reputation, namely Big 4 audit firms. Further, they examine whether the change in audit market concentration post-2012 affects audit quality as proxied by companies' propensity to receive a modified audit opinion and discretionary accruals. Auditor attributes were hand-collected from audited financial statements and matched with financial variables from Datastream.

The IFRS audit market was dominated by the Big 4 audit firms prior to 2012, and there is strong evidence that audit market share (concentration) increases for IFRS reports but not for RAS reports. In addition, companies are more likely to choose a Big 4 audit firm for an RAS audit, conditional upon a Big 4 firm conducting the IFRS audit. The authors do not find evidence of decrease in the probability of audit firms issuing a modified audit opinion under either RAS or IFRS, indicating that, in the Russian setting, increased auditor concentration post-IFRS adoption does not lead to enhanced risk or decline in audit quality. Moreover, they find that discretionary accruals decline post-2012. Overall, the findings indicate that the concern of global regulators regarding audit market concentration is not justified.

The Russian reporting environment is unique and generally characterized by significant agency problems, and the study’s estimation sample is not large, compared to prior studies conducted predominantly in Western jurisdictions. Nevertheless, the authors shed light on the audit concentration phenomenon within emerging markets, for which empirical evidence is scarce. Future research could explore the impact of other capital market events and exogenous shocks, not limited to IFRS adoption, on the characteristics of Russia's audit market.

The IFRS reporting regime is commonly associated with enhanced reporting quality and improved information transparency among public companies. Yet, impairment of audit quality as a result of IFRS-driven increase in audit market share of Big 4 can potentially negate these capital market effects. This study shows that the concerns of global regulators are not valid and that audit quality does not change with increased share of Big 4 post-IFRS adoption.

Dual audits, whereby companies must prepare two sets of financial statements per the IFRS mandate, are not unique to Russia, and the evidence of IFRS reporting on the structural changes in the audit market and implications for audit quality under a dual regime is scarce. Accordingly, the study's findings are important and timely and are expected to aid regulators of countries that have announced or are contemplating the adoption of IFRS for public reporting purposes.

This study aims to examine the impact of the beginning of the Russia–Ukraine war and the Wagner Group’s attempted military coup against Putin’s regime on the European defense sector, consisting of weapons manufacturers.

The authors use the event study methodology to quantify the impact. That is, the authors assume that markets are efficient, and abnormal stock returns around the event dates capture the magnitudes of the impacts of the two events studied on European defense sector companies. The authors use the capital asset pricing model and two different multifactor models to estimate expected stock returns, which serve as the benchmark necessary to obtain abnormal returns.

The start of the war on February 24, 2022, when the Russian forces invaded Ukraine, was followed by high positive abnormal returns of up to 12% in the next few days. The results are particularly strong if multiple factors are used to control for the risk of the defense stocks. Conversely, the authors find a negative impact of the rebellion initiated by the mercenary Wagner Group’s chief, Yevgeny Prigozhin, on June 23, 2023, on the abnormal returns of defense industry stocks on the first trading day after the event.

To the best of the authors’ knowledge, this is the first study of the impact of the Russia–Ukraine war on the defense sector. Furthermore, this is the first study to measure the financial implications of the military coup initiated by the Wagner Group. The findings contribute to a rapidly growing literature on the financial implications of military conflicts around the world.

The operational resilience of financial service providers is strained to an unprecedented extent following the Russian aggression in the Ukraine and the subsequent implementation of targeted economic sanctions. This paper aims to consider how operational resilience supports financial service providers in implementing sanctions.

The demand made of financial service providers by economic sanction is considered through the lens of operational resilience. Practical problems for the providers are aligned with economic sanctions policies.

A well-established system of operational resilience enables financial service providers to meet compliance requirements of economic sanctions with greater ease.

The literature does not credit operational resilience as a systemic capacity of corporations and rather presents it as a specialised feature. In addition, the role of the regulatory bodies is often dismissed despite directly inciting the practical problems faced.