Analytical capacity of financial statements against the backdrop of the COVID-19 pandemic

2020 ◽  
Vol 19 (10) ◽  
pp. 1794-1821 ◽  
Author(s):  
O.V. Efimova ◽  
O.V. Rozhnova
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Financial Reporting ◽  
Business Strategy ◽  
Investment Decision ◽  
Financial Statements ◽  
Cash Flows ◽  
Foreign Companies ◽  
Investment Decision Making ◽  
The Impact

Subject. The paper explores the analytical capabilities of information disclosed in financial statements in the context of the COVID-19 pandemic. Objectives. The purpose is to identify the impact of the pandemic on financial statements and their analytical capabilities for investment decision-making. Methods. The study draws on methods of logical, statistical, comparative, and linguistic analysis. We analyze financial statements of Russian and foreign companies, paying special attention to the completeness of disclosed information on the impact of the pandemic on business and financial performance. We review annual financial statements for 2019, and interim reports for 2020. Results. We unveil the areas of disclosures that are most critical for the investment community and investment decision making, and vital for the analysis of financial performance and cash flows, given the unprecedented impact of the COVID-19 pandemic. The findings may be applicable to financial reporting preparation by economic entities in terms of disclosure on various forms of transformation and adaptation of businesses to the new crisis conditions; modernization of accounting rules at the level of external and internal standards in the direction of coordinating financial and non-financial reporting information; enhancement of analytical capacity of disclosures. Conclusions. The study confirms the scientific hypothesis that investors require detailed disclosure in all areas of the pandemic impact. To evaluate the going concern assumption and to forecast cash flows, users need disclosures on business strategy, the business model and its adaptability to the conditions of the new normality, sources of cash flow generation, and their use areas.

Is the investment decision affected by the independence and competence of the audit committee? A comparative study between Bahrain and Indonesia

2020 ◽  
Vol 21 (1) ◽  
pp. 29-48
Author(s):  
Abdullah Hamza Al-Hadrami ◽  
Ahmad Rafiki ◽  
Adel Sarea ◽  
Muhammad Dharma Tuah Putra Nasution
Keyword(s):  
Decision Making ◽  
Financial Reporting ◽  
Internal Control ◽  
Audit Committee ◽  
Investment Decision ◽  
Investment Decisions ◽  
Cross Sectional ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

Purpose This study aims to investigate the impact of the audit committee’s (AC’s) independence and competence in the company’s investment decision-making in Bahraini- and Indonesian-listed firms, then to compare the two results Design/methodology/approach A quantitative method is used and cross-sectional data are collected through a self-administered questionnaire survey. A stratified random sample technique is adopted with a total of 409 respondents from 39 listed companies in Bahrain and 303 respondents from 27 companies listed on the Indonesia Stock Exchange (IDX). A descriptive analysis is used to identify the characteristics of the respondents, while a correlation analysis, linear regression and t-test analyses are used to test the model, explain the relationships among variables and compare the two studies (Bahrain vs Indonesia). Findings It is found that the AC independence and AC competence have a positive and significant influence on investment decision-making for both the Bahrain and the Indonesia studies Practical implications The current study’s results have implications for the process of appointing and nominating the AC members, since this would affect an investor’s investment decision. Investors’ perception of the independence and competence of ACs will make a difference in their investment decisions. Originality/value AC independence and competence are importantly crucial for the decision-makers in improving the quality of financial reporting, internal control, and audit. This may lead to an increase in investors’ trust in financial reports and their ability to make favorable investment decisions.

The impact of an audit committee's independence and competence on investment decision: a study in Bahrain

2020 ◽  
Vol 5 (2) ◽  
pp. 299-313
Author(s):  
Abdullah Al-Hadrami ◽  
Ahmad Rafiki ◽  
Adel Sarea
Keyword(s):  
Decision Making ◽  
Financial Reporting ◽  
Internal Control ◽  
Investment Decision ◽  
Descriptive Analysis ◽  
Listed Companies ◽  
Financial Reports ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

PurposeThis study aims to investigate the impact of the audit committee's (AC) independence and competence on the company's investment decision-making in Bahraini-listed companies.Design/methodology/approachA quantitative method is used, and crosssectional data are collected through a self-administered questionnaire survey. A stratified random sample technique is adopted with a total of 409 respondents from 39 listed companies. A descriptive analysis is used to identify the characteristics of the respondents, while the correlation analysis and linear regression analyses are used to test the model and explain the relationship between variables.FindingsIt is found that the AC independence and AC competence have a positive and significant influence on investment decision-making.Originality/valueThe AC’s independence and competence are importantly crucial for the decision-makers in improving the quality of financial reporting, internal control and audit. This may lead to the increase in investors' trust on financial reports and thereby making favorable investment decisions.

scholarly journals Impact of Heuristics on Investment Decisions: The Moderating Role of Locus of Control

2020 ◽  
Vol 5 (1) ◽  
pp. 1-14
Author(s):  
Jeetendra Dangol ◽  
Rashmita Manandhar
Keyword(s):  
Decision Making ◽  
Locus Of Control ◽  
Investment Decision ◽  
Investment Decisions ◽  
Sampling Procedure ◽  
Moderating Effect ◽  
Moderation Effect ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
The Impact

This paper aims to assess the impact of heuristics on the investment decision by analysing the effect of four heuristic biases, i.e., representativeness, availability, anchoring and adjustment, and overconfidence bias on rationality of Nepalese investor's investment decision-making and also examines the moderating effect of the internal locus of control in between. The study used 391 respondents based on a convenient sampling procedure, and structured questionnaire survey. The study result indicates that there is a significant relationship between irrationality in investment decision-making and all four heuristic biases. In addition, the study also concludes that locus of control has significant moderating effect in the relationship between investment decisions and three heuristic biases, i.e., availability, representative and anchoring bias. However, the study documents no moderation effect in case of relationship with overconfidence bias.

scholarly journals Research on Power Grid Investment Assistant Decision Model Adapting to Power Reform Situation

2020 ◽  
Vol 218 ◽  
pp. 02026
Author(s):  
Yidi Wan ◽  
Wei Xie ◽  
Haihong Du ◽  
Wenming Pan ◽  
Jianqing Li ◽  
...  
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Power Grid ◽  
Scale Structure ◽  
Leading Role ◽  
Investment Decision Making ◽  
Investment Structure ◽  
External Management ◽  
Power Grid Planning ◽  
The Impact

in order to thoroughly implement the new energy security strategy of “four revolutions and one cooperation”, meet the requirements of power grid planning and management of energy administration, realize the strategic objectives of State Grid Corporation of China, actively respond to the severe external economic situation, alleviate the impact of policy-based price reduction, and improve the performance of internal investment management, the company needs scientific front-end decision-making, improve the efficiency of investment decision-making, scientifically determine the investment scale, structure and timing, and play a strategic leading role in investment decision-making. Through the analysis of internal and external management requirements, this paper constructs an auxiliary decision-making model of power grid investment to support the determination of investment scale, structure and time sequence, to realize the reasonable investment scale calculation of provincial companies, the calculation of investment structure of different voltage levels and the optimization of project delivery under the condition of given investment scale, which comprehensively considers the external supervision, economic development and internal management objectives, so as to assist the prior investment decision-making, improve the input-output efficiency, effectively improve the Advisory decision-making ability of investment data, and meet the company’s investment decision-making needs.

scholarly journals Impact of Behavioral Biases on Investment Decision Making with Moderating Role of Financial Literacy

2018 ◽  
Vol 6 (2) ◽  
pp. 34-41
Author(s):  
Rizwan Khalid ◽  
◽  
Muhammad Javed ◽  
Khurram Shahzad ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Financial Literacy ◽  
Positive Impact ◽  
Investment Decision ◽  
Structure Questionnaire ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
The Impact ◽  
Moderating Role

The objective of this study is to examine the Impact of Overconfidence bias and Herding bias on Investment Decision Making with Moderating Role of Financial Literacy. The population was Investor, Employee and Graduate Student. A sample of 200 was selected using convenience technique. Data were collected through structure questionnaire adopted from different papers. Correlation and Regression analysis were performed to examine the result. The Results show that overconfidence bias and herding bias have a positive impact on investment decision making and Financial Literacy has positive impact on investment decision making. Based on the results and discussions of the study findings as well as the limitations, theoretical and practical implications of the study have been provided.

scholarly journals The use of tools and approaches of system dynamics in the analysis of the efficiency of BIM implementation and its impact on the management and planning of investments in the construction sector

2019 ◽  
Vol 279 ◽  
pp. 01011
Author(s):  
Martin Hotový
Keyword(s):  
Decision Making ◽  
System Dynamics ◽  
Dynamic Model ◽  
Investment Decision ◽  
Construction Sector ◽  
Strategic Investment ◽  
Investment Projects ◽  
Investment Decision Making ◽  
Proposed Model ◽  
The Impact

This paper presents the use of tools and approaches of system dynamics in the analysis of the efficiency of BIM tools implementation in relation to the management and planning of investments in the construction sector. The dynamic model based on the approach of system dynamics allows to simulate the impact rate (range) of BIM implementation in strategic investment decision-making in the construction sector. Based on the analysis, the key parameters critically affecting the large construction investment projects are determined. The proposed model is implemented as a submodel in the dynamic model designed for potential refinements in the strategic planning of the extent of investments into projects of civil infrastructure of the Czech Republic. The model allows to test different strategies in the virtual world before their implementation. The prediction of future developments based on the proposed model allows to streamline planning and decision-making processes.

scholarly journals An Analysis of Behavioral Biases in Investment Decision-Making

2019 ◽  
Vol 10 (4) ◽  
pp. 55 ◽  
Author(s):  
Geetika Madaan ◽  
Sanjeet Singh
Keyword(s):  
Decision Making ◽  
Positive Impact ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Individual Investors ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
Survey Responses ◽  
The Impact

Individual investor’s behavior is extensively influenced by various biases that highlighted in the growing discipline of behavior finance. Therefore, this study is also one of another effort to assess the impact of behavioral biases in investment decision-making in National Stock Exchange. A questionnaire is designed and through survey responses collected from 243 investors. The present research has applied inferential statistics and descriptive statistics. In the existing study, four behavioral biases have been reviewed namely, overconfidence, anchoring, disposition effect and herding behavior. The results show that overconfidence and herding bias have significant positive impact on investment decision. Overall results conclude that individual investors have limited knowledge and more prone towards making psychological errors. The findings of the study also indicate the existence of these four behavioral biases on individual investment decisions. This study will be helpful to financial intermediaries to advice their clients. Further, study can be elaborated to study other behavioral biases on investment decisions.

scholarly journals Probabilistic Estimation of the Energy Consumption and Performance of the Lighting Systems of Road Tunnels for Investment Decision Making

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1488 ◽  
Author(s):  
Antonio Bracale ◽  
Pierluigi Caramia ◽  
Pietro Varilone ◽  
Paola Verde
Keyword(s):  
Decision Making ◽  
Business Strategy ◽  
Net Present Value ◽  
Investment Decision ◽  
Final Decision ◽  
Capital Investments ◽  
Technical Performance ◽  
Investment Decision Making ◽  
Road Tunnels ◽  
Lighting Systems

This paper presents a probabilistic model for supporting the process of decision making about the value of new lighting systems in existing road tunnels when some data and parameters are affected by uncertainty. The proposed model, which we have called Probabilistic Energy Screening of Tunnel (PrEST), accounts for both the technical performance and the economic objectives of the new lighting systems. The technical performance is described on an adequate (x, y) plane that was defined by two indices. The first index measured the consumption of electricity per kilometre of tunnel lengths; the second index measured the performance of the lighting systems per unit of illuminated area. The economic results were measured by the net present value of the savings and by the payback period. Both the terms account for initial capital investments, energy and maintenance costs. PrEST was applied to two real road tunnels in service in Italy showing that the statistics of the results can support a final decision in function of the business strategy.

The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility

2019 ◽  
Vol 32 (2) ◽  
pp. 297-318 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Investment Decision ◽  
Big Data Analytics ◽  
Content Type ◽  
Investment Decision Making ◽  
Management Capabilities ◽  
The Impact

Purpose The importance of big data analytics (BDA) on the development of supply chain (SC) resilience is not clearly understood. To address this, the purpose of this paper is to explore the impact of BDA management capabilities, namely, BDA planning, BDA investment decision making, BDA coordination and BDA control on SC resilience dimensions, namely, SC preparedness, SC alertness and SC agility. Design/methodology/approach The study relied on perceptual measures to test the proposed associations. Using extant measures, the scales for all the constructs were contextualized based on expert feedback. Using online survey, 249 complete responses were collected and were analyzed using partial least squares in SmartPLS 2.0.M3. The study targeted professionals with sufficient experience in analytics in different industry sectors for survey participation. Findings Results indicate BDA planning, BDA coordination and BDA control are critical enablers of SC preparedness, SC alertness and SC agility. BDA investment decision making did not have any prominent influence on any of the SC resilience dimensions. Originality/value The study is important as it addresses the contribution of BDA capabilities on the development of SC resilience, an important gap in the extant literature.

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