Vol 15, No 1 (2021)
- Year: 2021
- Articles: 6
- URL: https://journal-vniispk.ru/2073-0438/issue/view/20062
- DOI: https://doi.org/10.17323/j.jcfr.2073-0438.15.1.2021
Full Issue
New Research
The Impact of Corporate Governance on the Cost of Equity for Russian Companies in the Ohlson Model
Abstract
The purpose of this paper is to identify key indicators of corporate governance that affect the market value of Russian companies. To this end, we examine the possibility of modifying the Ohlson model of evaluating stock price dynamics in public companies, by adding corporate governance variables that may affect market value.
The study consists of the following stages: the key points of the Ohlson economic model are described, empirical works that demonstrate corporate governance as a factor in assessing the value of companies are presented, and the significance of the modified Ohlson model for the Russian market is evaluated.
The novelty of our methodology is represented in the prioritisation of our “other information” parameter, which is a combination of forecast analytical data and corporate governance indicators. Through analysis of panel data, we estimate differences in the predicted net profit indicator, calculated as the average of analyst forecasts for an individual company for a financial year, and the actual net profit. Corporate governance is represented by the percentage of board members holding professional certificates and licenses, the average term of board of directors members, the share of independent members on the board of directors, the share of independent members in the audit committee, the proportion of women on the board of directors, and the size of the board of directors.
Our results indicate dependence of share prices on the dynamics of the book value of equity, abnormal profits, the share of board members holding professional qualifications, the difference between the actual net profit and the forecast net profit of companies, and the level of gender diversification in the board of directors. The results of our analysis of deviations in average stock prices are comparable to the findings of existing literature examining the markets of Europe, Latin America and Africa.



Stock Price Reactions to Publications of Financial Statements: Evidence from the Moscow Stock Exchange
Abstract
This paper analyses the effects of financial statements on the efficiency of the Russian stock market. Specifically, we analyse the impact of financial reporting on stock prices of the firms listed on the Moscow Stock Exchange. By means of the widely used event study method, which dates back to Ball and Brown [1], we analyse how corporate news publication affects stock prices.
Our research analyses 1000 samples, each consisting of 30 events, independent of the underlying stocks/firms and analyses the relation between the behaviour of the share prices and the release of the firms’ annual, quarterly, and unscheduled financial statements. We use the daily stock price data of 56 components of the Russia Trading System Index from the years 2014 to 2020 in order to analyse the relation between the behaviour of the shares’ prices and the releases of the firms’ annual, quarterly, and unscheduled financial statements.
Using an ordinary least squares market model, we estimate the market parameters and especially the so-called normal returns, i.e. benchmark values. With this, we calculate the abnormal returns, i.e. the price changes caused by the events cf. [1; 2]. We perform several statistical tests for non-Gaussian distribution of these abnormal returns and find that there is a significantly non-Gaussian relationship between the publication of financial statements and the prices of the shares, which should not be the case in an efficient market [2].
Our results indicate that stock price volatility on the publication of financial statements may be caused by some information asymmetry, and demonstrate that the Russian stock market responds significantly to new information. Thus, we discuss recommendations to improve the information content of financial statements in Russia. This means analysts and fund managers can use new information to predict future stock returns and, thus, construct profitable portfolios.



Conceptual Framework for Financial Reporting: Problems and Prospects
Abstract
The objective of this paper is to define the theoretical basis and clarify the fundamental concept of the Conceptual Framework for Financial Reporting (CFFR). This is because the theoretical basis for CFFR has not been properly defined, and the articulation of the fundamental concept in the document does not correspond to its actual meaning. In clarifying, we will analyse these attributes from a critical perspective and propose an alternative articulation.
We apply a research method widely used in the USA based on semiotics, which construes accounting as a business language and requires analysis of the key accounting concepts from three viewpoints: syntactic, semantic an pragmatic. Two different theories form the theoretical basis for CFFR: the organisation theory and the residual equity theory. We further propose that the articulation of the fundamental concept of “objective of financial reporting” is self-contradictory, which is aggravated by the fact that the document deals with users of financial reporting and their objectives.
We identify major drawbacks in both theories. The organisation theory requires specific financial reporting which is incompatible with standardisation, and the residual equity theory is extremely difficult to understand and is not completely satisfactory for any of its user groups. These drawbacks and inaccuracies occlude understanding of CFFR and financial reporting.
As a result, we propose that it is advisable to do the following when developing the next version of CFFR:
• define the uniform theoretical basis in CFFR clearly;
• use the proprietary theory as the uniform theoretical basis;
• the definition of financial reporting oriented to informational needs of company owners should be the fundamental concept of CFFR.
This will enable CFFR and financial reporting to be simpler understand and the primary needs of all user groups will be satisfied.



Impact of Digitalisation on Corporate Finance in the Agricultural Sector
Abstract
The purpose of our paper is to examine the interrelation between digitalisation indicators of dairy industry government regulation and economic efficiency, using large corporations of Novosibirsk Region as an example. We propose to identify an integrated system approach to evaluating the influence of state programs related to digitalisation of the dairy industry on industry performance.
A system-wide transition to digital technology in the infrastructure of dairy industry regulation is nearly totally absent from academic research. The existing literature considers the influence of state programs and policies on the industry and proposes various performance indicators. However, it is uncertain how industry digitalisation may affect these performance indicators.
To address this gap in the literature, we propose a hypothesis of dependency between digitalisation indicators and performance indicators of dairy corporations. The basis of the methodology is the calculation of a digitalisation index used to assess the efficiency of government support of the industry corporations. In order to substantiate the hypothesis, we apply a correlation and regression analysis and established interrelations between the offered criteria (digitalisation index and share) and operating performance of dairy industry economic entities.
Our results indicate general consistent patterns and interrelations between digitalisation of state regulatory programs and the performance of dairy industry corporations. Our statistical analysis reveals digital technology as a tool of government has a significant impact on business performance. The offered digitalisation criteria and patterns of performance efficiency are indicative of the possibility to manage the digitalisation process based upon preset parameters of business performance.
Our research will be of interest to specialists developing state programs and policies applying digital technology, directors of dairy companies, and scientists who conduct research in related fields, who may use our approach for evaluating and forecasting performance in the dairy industry, accounting for the impact of government regulation.



Corporate Financial Analytics
Conceptual Problems in the Use of Risk-Adjusted Discount Rate for Risky Negative Cash Flows
Abstract
This paper examines the risk adjusted discount rate (RADR) method for evaluating risky nonconventional projects, which has been hotly debated over the last century [1]. Economists face the contradiction of using the NPV rule to evaluate projects with different levels of risk. According to the theory of investments, the higher the project risk, the greater the return for the investor. Therefore, an increased discount rate is used to evaluate a riskier project, as a result, the project’s NPV decreases and the project is deemed less attractive or even unprofitable for investment. However, the NPV of a nonconventional investment project may increase through increasing the discount rate, and then the investor, following the NPV rule, will choose a riskier project out of two projects with the same yield. That does not correspond to the hypothesis about rational investor behavior.
We continue the study of the RADR method. Recently, published works [2–4] have proposed a solution to the debatable RADR problem. The GNPV method was used for evaluating risky nonconventional projects. We will evaluate these aspects of the recent literature. We examine the fallacy of the main arguments (to maintain value additivity and preclude arbitrage) justifying the application of a single rate to discount risky opposite sign cash flows. The future cash flows are estimated independently of the transactions preceding them, which seems illogical, so a risk penalty formula which adjusts the discount rate applied to risky negative cash flows is applied. The risk penalty is determined depending on the risk premium in the case of symmetric and asymmetric distribution of cash flow values.
Our results are applicable to a diverse range of business applications, including but not limited to well-known asset pricing models, short position analysis, determining fair insurance premiums, and calculating appropriate RADRs for public private partnerships.



Reviews
Organisational Characteristics, Corporate Governance and Corporate Risk Disclosure: An Overview
Abstract
Certain attributes of corporate governance behaviour have been identified in academic research as major factors correlating with corporate risk disclosure amongst listed companies. This is in spite of the fact, however, that much of the empirical research in the area reveals mixed results.
This study analyses corporate risk disclosure practice involving listed companies and investigates whether such diverse results are attributable to regulation, jurisdiction, operating industry, business environment, or the methodologies employed. We use risk disclosure, corporate governance and organisational characteristics keywords to search the relevant studies on which 46 empirical research papers were sampled, and employ a meta-analysis procedure to evaluate the findings of the previous empirical research.
Our analyses reveal that firm size is the major organisational-specific characteristic affected by moderators, and board size and institutional investors are the major corporate governance variables that affect moderators. On the analysis of the nature of disclosure, financial risk information is higher for companies operating in the banking sector, while operational risk disclosure is higher for non-financial companies. Additionally, the study finds that the data generating procedure, time interval, diversity of sample and size, and the statistical technique employed are among the major factors that influence discrepancies among the prior studies.
Such variables complicate stakeholders’ effort to comprehend the main factors that influence companies to unveil their risks profile. We propose that the current data collection process is labour intensive and time consuming, and promote the selection of smaller sample sizes compared to most of the existing research. It may be the case that constraints can be overcome through research that employs an automated procedure for analysis of textual data.


