Том 15, № 2 (2021)

Новые исследования

The Impact of Disclosure Sentiment on the Share Prices of Russian Companies

Kopyrin M., Naidenova I.

Аннотация

Information about companies published in a news feed is invariably tinted by emotional tonality. As such, resulting perceptions may influence the opinion of market players, and consequently affect the dynamics of a company’s share price. This study aims to evaluate various hypotheses about the impact of the tone of news items regarding dividends, capital expenditures, and development on the stock prices of Russian companies. Information disclosure is extensively studied, and there have been limited studies on the effect of disclosures on Russian companies. However, until now, there have been no research studies which verify hypotheses on the influence of news sentiment on corporate share prices in the Russian market. This analysis was conducted using data from 49 Russian public companies included in the Moscow exchange index over the period from the end of 2017 to the beginning of 2019. To account for the proximate impact of news items on consequential market phenomena, an event study methodology was applied in order to estimate and construct the models of dependency of cumulative abnormal return (CAR) on news tone level, and control for financial and nonfinancial factors. Our results provide evidence for the positive impact of the tone of news texts on the share prices of Russian companies. The increase in news tone by one standard deviation leads to a cumulative abnormal stock return increase of 0.26 percentage points. This result is consistent with previous research conducted on data from developed stock markets. Moreover, the relationship between the tone or sentiment level of a news item and the stock price reaction is linear, without the diminishing marginal effect. Our conclusions should prompt companies to invest effort in delivering information in a tonally positive way, highlighting the most positive news. Investors, in turn, should rationally approach the interpretation of published information.

Корпоративные финансы. 2021;15(2):5-15
pages 5-15 views

Signalling and Legitimacy Theories for Explaining Climate Information Disclosure by Russian Companies

Fedorova E., Martynova M.

Аннотация

This paper studies the factors influencing the level of climate-related disclosure by Russian companies. It has several distinctive features in comparison to previous works: 1) climate change disclosure by Russian companies is studied for the first time; 2) textual analysis is used to evaluate the level of disclosure, and a new Russian glossary on climate change is compiled; 3) a unique set of indicators is used to assess the impact of factors on climate change disclosure. Legitimacy and signalling theories are used to formulate the hypotheses. The sample consists of 47 Russian companies with the largest market capitalization. Their 235 annual and sustainability reports for 2015-2019 are analysed. Using regression analysis, we show that a company’s absolute amount of greenhouse gas emissions, size, industry affiliation, and CDP rating positively affect its level of disclosure about climate change. In contrast, state ownership and a high debt burden have a negative impact. At the same time, the newness of assets, capital expenditures, interest coverage and company growth opportunities have no effect on climate change disclosure. Empirical results have confirmed the applicability of legitimacy theory to the Russian market. The present study will provide investors and regulators with tools for predicting a company’s impact on climate based on its level of climate change disclosure.

Корпоративные финансы. 2021;15(2):16-26
pages 16-26 views

Support of State and Private Institutions for Biomedical Start-ups in Russia

Guseva O.

Аннотация

This paper describes the differences between biomedical start-ups with state support and start-ups with support provided by private market participants in Russia as a country with limited private investments. Based on the sample of Skolkovo biomedical start-ups, we analyse ownership and management characteristics of start-ups as well as the performance of companies supported by these two types of institutions.

To compare start-ups supported from different sources, the sample of biomedical companies is divided into four clusters based on the presence of state and/or private support. The results of cluster characterization indicate that start-ups with different types of support vary significantly in ownership concentration, share of managerial ownership, gender diversity and CEO experience.
Although tests for differences among the groups’ mean values showed the insignificance of performance variation among clusters, start-ups with private funding in the sample were mostly smaller-sized companies with fewer patentsand employees. At the same time, start-ups that were supported from both private and state sources performed better on average in the number of employees and patents and the presence of revenue. Although the causal relationship between the type of support and start-up performance is not investigated in this paper, our results suggest the importance of the synergy of state and private support for biomedical start-up performance in Russia.

Besides contributing to the literature on start-up support in emerging markets, this paper is, as far as we know, one of the first academic studies to provide insights into the market of Russian biotech start-ups.

Корпоративные финансы. 2021;15(2):27-41
pages 27-41 views

Testing Russian Stock Market Efficiency Using Event Studies: Impact of Credit Ratings Changes

Avrutskaya S., Маричева Е.

Аннотация

Event study is a widespread technique for testing the semi-strong form of the market efficiency hypothesis. Among traditionally studied events, changes in corporate credit ratings by rating agencies have a special importance, since rating agencies use both publicly available and insider information. Studies of developed and emerging markets point to different reactions of stock prices to rating upgrades and downgrades and identify several factors affecting the scale of this effect, including the size and liquidity of the stock market, the level of regulation of the industry, the market capitalization of the company, the status of the rating agency, and others.
 
On the Russian market, the impact of credit rating upgrades and downgrades on stock prices has not been investigated so far. Ongoing studies of other events affecting stock prices show that the market’s reactions are pretty much in line with those of developed markets, despite its immaturity, limited transparency, high volatility, narrowness and low liquidity, as well as the small number of significant events.
 
In this article, we evaluate the level of efficiency of the Russian stock market and analyse the reaction of stock prices to changes in issuer credit ratings by international rating agencies using the traditional event study methodology in a narrow event window of 31 days over the period 2016–2020 on a sample of 49 public companies. We show that credit rating upgrades do not lead to statistically significant positive abnormal returns. Visual analysis demonstrates that rating downgrades result in substantial negative abnormal returns. This effect varies for financial and non-financial companies and companies with low and high capitalization yet differs from the effects observed for developed markets; nevertheless, these abnormal returns are not statistically significant. Still, there are grounds to conclude that the Russian stock market is not efficient in the semi-strong form and is closer in its characteristics to emerging markets, which is important information for investors, as it permits them to develop profitable trading strategies.
Корпоративные финансы. 2021;15(2):42-54
pages 42-54 views

Обзоры

The Accounting Reform in Russia. How to Teach Economists?

Prosvirina I., Ivanov A., Zaionchik L.Z.

Аннотация

Most post-socialist countries harmonize national accounting standards with IFRS. Many countries are also characterized by a simultaneous use of both national and international standards. The same goes for Russia. Deep reform of national standards has entered an active phase: annually, starting from 2018, several new standards harmonized with the international ones have been introduced. At the same time, former standards remain in force. In such conditions, the process of teaching students majoring in accounting must consider these peculiar features. In the article, we analyze the existing teaching methods and conclude that they are generally focused only on the study of the existing national accounting standards. However, working at enterprises requires knowledge and ability to apply both the existing standards and the standards which will be introduced in the coming years. It is also necessary to know international standards as a methodological basis applied when a matter is not regulated by the national standards. The article highlights the experience of South Ural State University. Since 2016, it has been creating a methodology of intensive teaching bachelors of economics majoring in “Accounting, Analysis and Audit”. The methodology is based on the development of a set of professional competencies intoa set of learning outcomes as more appropriate for the tasks of such teaching. It is characterized byan emphasis on the students’ research and analytical work. Its implementation results in the appearance of a specialist who is quickly adapted to work in large companies. The methodology is applicable in all university departments teaching accounting to bachelors.

Корпоративные финансы. 2021;15(2):55-65
pages 55-65 views

Investigation of the Influence of Internal Control System Factors on the Financial Stability of Companies (Review)

Ponomareva L.

Аннотация

Аннотация. Качество системы внутреннего контроля может оказать существенное влияние на принятие решений пользователями финансовой информации и на негативные экономические последствия хозяйственной деятельности организации (банкротство, фиктивные аудиторские заключения и др.). Автор предполагает, что эти последствия характерны для российских организаций из-за слабой проработки ими факторов, влияющих на систему внутреннего контроля организаций. В исследовании был проведен обзор зарубежных (Китая, США и Европы) публикаций, индексируемых в Scopus и Web of Science, по проблеме влияния внешних и внутренних факторов на систему внутреннего контроля организаций. По результатам анализа литературы выявлены внешние и внутренние факторы, влияющие на систему внутреннего контроля, характерные для российских организаций. Кроме того, обозначены перспективы изучения данных факторов на систему внутреннего контроля российских организаций.

Корпоративные финансы. 2021;15(2):66-76
pages 66-76 views

Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

1. Я (далее – «Пользователь» или «Субъект персональных данных»), осуществляя использование сайта https://journals.rcsi.science/ (далее – «Сайт»), подтверждая свою полную дееспособность даю согласие на обработку персональных данных с использованием средств автоматизации Оператору - федеральному государственному бюджетному учреждению «Российский центр научной информации» (РЦНИ), далее – «Оператор», расположенному по адресу: 119991, г. Москва, Ленинский просп., д.32А, со следующими условиями.

2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».