Different bankruptcy prediction patterns in an emerging economy: Iranian evidence

2016 ◽  
Vol 58 (3) ◽  
pp. 258-280 ◽  
Author(s):  
Mahdi Salehi ◽  
Mahmoud Mousavi Shiri
Keyword(s):  
Stock Price ◽  
Stock Exchange ◽  
Listed Companies ◽  
Bankruptcy Prediction ◽  
Data Envelopment ◽  
Content Type ◽  
Environmental Status ◽  
Financial Power ◽  
Comparison Of The Results

Purpose Bankruptcy, stock price fluctuations and making decisions to invest on the listed companies on the Tehran Stock Exchange show the need to have some tools for evaluating the financial potential of companies. One of the tools for evaluating financial power to investment in companies is using analysis of financial ratios and obtaining the patterns for predicting the bankruptcy of companies. The purpose of this study is to modify the current patterns for predicting bankruptcy in proportion to the environmental status of Iran and to present a new pattern for determining the bankruptcy of the listed companies. Design/methodology/approach To modify the patterns and present a new pattern, in this research, the hypotheses pertinent to the ability for right classification of the companies are designed by the modified patterns of predicting the company’s bankruptcy and ranking, that is according to the envelopment analysis method and by comparison of the results and presenting a new prediction pattern. Findings The hypotheses test results show that modification of bankruptcy patterns and presentation of a new bankruptcy pattern are confirmed by the data envelopment analysis. Originality/value The current paper is almost the first paper which combined several different methods of bankruptcy prediction.

Bankruptcy prediction of listed companies on the Tehran Stock Exchange

2016 ◽  
Vol 58 (5) ◽  
pp. 545-561 ◽  
Author(s):  
Mahdi Salehi ◽  
Mojdeh Davoudi Pour
Keyword(s):  
Financial Analysis ◽  
Stock Exchange ◽  
Listed Companies ◽  
Bankruptcy Prediction ◽  
Economic Life ◽  
Corporate Bankruptcy ◽  
Content Type ◽  
Economic Decision ◽  
Economic Decision Making ◽  
The Future

Purpose Bankruptcy is the last phase of economic life of companies and has some impacts on all of the entity’s stakeholders. Thus, the prediction of bankruptcy is very important. The inherent aim of preparing and developing financial accounting information is to provide a basis for economic decision-making, and any decision requires information acquisition, processing and data analysis as well as logical and correct interpretation of information. Developing models for predicting financial crisis and comparing the capabilities of existing models can help to alert management about ongoing activities and investors about economic decision for purchase shares or granting loan facilities to companies. So, the purpose of this study is the predict bankruptcy of listed companies on the Tehran Stock Exchange. Design/methodology/approach From the statistical methods’ perspective, the present research is classified as modeling and with respect to research methodology, it is a correlative-descriptive study in which the relationship between variables is analyzed based on the research objective. Predictive variables are the best ratios of cost of goods sold, non-operating revenues, net sales, predicted earnings per share (EPS) and real EPS. Findings Prediction of corporate bankruptcy crisis is one of the vital research areas. Predictive models are means for estimating the company’s future situation. Investors and creditors are highly willing to predict the bankruptcy crisis because the high costs associated with bankruptcy crisis will spoil the economy as a whole. On the other hand, this raises concerns among owners, and they are always seeking to find ways to preserve their capital through prediction of stocks continuing operations in the future. Having knowledge about bankruptcy or non-bankruptcy of automotive parts companies makes it possible to recognize weaknesses and strengths in the companies’ current performance and to make investment decisions. Practical implications Development of financial markets and, subsequently, creation of fierce competition has resulted in bankruptcy of many companies. Investors are always looking for predicting possible bankruptcy of a firm to prevent their investments risks because bankruptcy costs are high for investors, creditors, lenders and government agencies. Hence, they are seeking ways to estimate corporate bankruptcy. For this reason, over the past four decades, bankruptcy prediction has been enumerated as a key issue in companies and consequently because of its importance, many studies have been conducted to achieve the best model to predict bankruptcy. Originality/value Bankruptcy forecast is an economically important issue in every organization and company. Financial and accounting researchers are trying to offer financial models using various combinations of financial ratios with better measuring ability for performance and dividends payments as well as company continued activities. Bankruptcy prediction models are among financial analysis techniques in which the purpose of financial analysis and bankruptcy forecasting is recognition of efficiency and management executive performances. Moreover, the analysis of stock value by shareholder is another application of such research results. Basically, shareholders are interested in knowing the future status of the companies that are going to buy. In this way, shareholders use this method of analysis to estimate future activity or inactivity of firms.

Does the research meeting affect the shareholding ratio of institutional investors in listed companies? Empirical evidence from China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jingqin Zhang ◽  
Yong Ye
Keyword(s):  
Empirical Research ◽  
Institutional Investors ◽  
Stock Price ◽  
Stock Exchange ◽  
Listed Companies ◽  
Investment Efficiency ◽  
Content Type ◽  
Different Types ◽  
Research Meeting ◽  
The Impact

PurposeThis paper discusses whether institutional investors change the shareholding ratio of listed companies through research meeting, and whether this active investment mode can really improve the investment efficiency of institutional investors.Design/methodology/approachUsing empirical research method, this study designs and conducts an empirical research according to empirical research's basic norms. Thus, we acquire needed and credible empirical data. This study analyzes whether institutional investors seek their private interest in researched companies by analyzing their research meetings and the shareholding ratios of different types of institutional investors using Shenzhen Stock Exchange data on listed firms from 2014 to 2018.FindingsThis study finds that the research meetings of institutional investors provide participants with reliable information which supports the decision of institutional investors to change their shareholding ratio. The stock price growth rate strengthens the positive correlation between the research meetings of institutional investors and the shareholding ratio of institutional investors. Additionally, transactional institutional investors increase the shareholding ratio, while holding institutional investors do not.Originality/valueThis paper combines the behavior of institutional investors with the holding status of institutional investors, and discusses the impact of institutional investors' behavior on investment decisions. At the same time, it classifies the institutional investors and discusses the attitude of different types of institutional investors towards this active investment mode.

The effect of intangible assets on sustainable growth and firm value – Evidence on intellectual capital investment in companies listed on Bucharest Stock Exchange

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Catalin Ionita ◽  
Elena Dinu
Keyword(s):  
Growth Rate ◽  
Intellectual Capital ◽  
Firm Value ◽  
Intangible Assets ◽  
Stock Exchange ◽  
Listed Companies ◽  
Sustainable Growth ◽  
Content Type ◽  
Sustainable Growth Rate ◽  
The Impact

PurposeThe present study investigates the connection between company investments in intellectual capital (IC) and how they translate into financial value. The aim is to test the impact of intangible assets on the firm value and its sustainable growth.Design/methodology/approachThe research employs computation models to determine the sustainable growth rate (SGR) and the firm value (FV), and by using the ordinary least squares (OLS) model through a linear regression assesses the relationship between the dependent variables and expenditures on intangibles like R&D, IT programs and patents. A sample of 42 companies has been selected out of the 78 listed at Bucharest Stock Exchange (BSE), based on the appropriateness of the information disclosed in the financial reports for the period 2016–2019.FindingsThe results show that intangibles classified as innovative competences (R&D and Patents) do not have a positive impact on SGR and FV in listed companies from Romania. Moreover, R&D has a negative and significant effect on FV, while IT Programs have a positive and significant impact on FV, but not on the SGR. Variables categorised as economic competencies (Brands, Shares held in associates and jointly controlled entities) and firm structure-specific variables (Leverage, Firm Performance) seem to have a significant effect on SGR and FV. Shares held in associates and jointly controlled entities is the variable that can have the biggest impact when it comes to FV for companies listed at BSE.Research limitations/implicationsDue to non-disclosure of specific information by some companies, or lack of investments in intangibles the sample had to be reduced and does not cover all listed companies.Practical implicationsCompanies listed on the Regulated Market from the Bucharest Stock Exchange should maintain their scale of liabilities at a reasonable level when financing intangible assets in order to ensure corporate long-term and sustainable development. Also, these companies should maintain awareness about the importance of intangible assets and invest more in specific sub-components, in order to sustain competitive advantage. Recognizing the roles of intangibles, managers need to develop strategies to invest in profitable intangibles by reasonably allocating their limited resources, in order to achieve sustainable growth and increase company success.Originality/valueStudies concerning the relation between investments in intangibles and sustainable growth rate and firm value of listed Romanian companies are very scarce. This paper reveals new research, never before undertaken, concerning expenditures on intangibles by Romanian companies and the valuation of such investments on Bucharest Stock Exchange.

Efficiency evaluation of Indian oil and gas sector: data envelopment analysis

2019 ◽  
Vol 14 (2) ◽  
pp. 362-378 ◽  
Author(s):  
Vikas Vikas ◽  
Rohit Bansal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Capital Investment ◽  
Oil And Gas ◽  
Stock Exchange ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Content Type ◽  
Indian Economy ◽  
Oil And Gas Sector

Purpose Data envelopment analysis (DEA), a non-parametric technique is used to assess the efficiency of decision-making units which are producing identical set of outputs using identical set of inputs. The purpose of this paper is to find the technical efficiency (TE), pure technical efficiency and scale efficiency (SE) levels of Indian oil and gas sector companies and to provide benchmark targets to the inefficient companies in order to achieve efficiency level. Design/methodology/approach In the present study, a group of 22 oil and gas companies which are listed on the National Stock Exchange for which the data were available for the period 2013–2017 has been considered. DEA has been performed to compare the efficiency levels of all companies. To measure efficiency, three input variables, namely, combined materials consumed and manufacturing expenses, employee benefit expenses and capital investment and two output variables – operating revenues and profit after tax (PAT) have been considered. On the basis of performance for the financial year ending 2017, benchmark targets based on DEA–CCR (Charnes, Cooper and Rhodes) model have been provided to the inefficient companies that should be focused upon by them to attain the efficiency level. The performance of the companies for the past five years has been examined to check the fluctuations in the various efficiency scores of the companies considered in the study over the years. Findings From the results obtained, it is observed that 59 percent, i.e. 13 out of 22 companies are technically efficient. By considering DEA BCC (Banker, Charnes and Cooper) model, 16 companies are observed to be pure technically efficient. In terms of SE, there are 14 such companies. The inefficient units need to improve in terms of input and output variables and for this motive, specified targets are assigned to them. Some of these companies need to upgrade significantly and the managers must take the concern earnestly. The study has also thrown light on the performance of the companies over last five years which shows Oil India Ltd, Gujarat State Petronet Ltd, Petronet LNG Ltd, IGL Ltd, Mahanagar Gas, Chennai Petroleum Corporation Ltd and BPCL Ltd as consistently efficient companies. Research limitations/implications The present study has made an attempt to evaluate the efficiency of Indian oil and gas sector. The results of the study have significant inferences for the policy makers and managers of the companies operating in the sector. The results of the study provide benchmark target level to the companies of Oil and Gas sector which can help the managers of the relatively less efficient companies to focus on the ways to improve efficiency. The improvement in efficiency of a company would not only benefit the shareholders, but also the investors and other stakeholders of the company. Originality/value In the context of Indian economy, very limited number of studies have focused to measure the efficiency of oil and gas sector in the context of Indian economy. The present study aims to provide the latest insight to the efficiency of the companies especially operating in the Indian oil and gas sector. Further, as per our knowledge, this study is distinctive in terms of analyzing the efficiency of Indian oil and gas sector for a period of five years. The longitudinal study of the sector efficiency provides a bird eye view of the average efficiency level and changes in the efficiency levels of the companies over the years.

Relationship between corporate governance and audit switching: Iranian evidence

2017 ◽  
Vol 59 (5) ◽  
pp. 673-686
Author(s):  
Mahdi Salehi ◽  
Ali Asgar Alinya
Keyword(s):  
Corporate Governance ◽  
Design Methodology ◽  
Stock Exchange ◽  
Listed Companies ◽  
Panel Analysis ◽  
Cross Sectional ◽  
Content Type ◽  
Effective Factors ◽  
Dependent Variables ◽  
The Relationship

Purpose This paper aims to investigate the relationship between corporate governance and auditors switching of listed companies on the Tehran Stock Exchange. Design/methodology/approach To achieve the objectives of this study, 12 hypotheses developed which and tests the relationship between corporate governance and selecting and switching auditors in Iran during 2008-20014 by selecting 116 listed companies on the Tehran Stock Exchange. To test the hypotheses, the cross-sectional time-series nature of research variables data, panel analysis is used. Also, to investigate the relationship between independent and dependent variables in each year, the logistic regression is used. Findings The results of the study indicate that there is a weak relationship between corporate governance auditors switching. Therefore, it could be concluded that there are some other effective factors on which selecting and switching auditors in studied companies are more dependent. Originality/value The current study is almost the first study which has been conducted in Iran, so the results of the study may be beneficial to the Iranian conditions as well as other developing countries.

Review of securities class action filings in 2015

2016 ◽  
Vol 17 (3) ◽  
pp. 1-27
Author(s):  
Alexander Aganin
Keyword(s):  
Design Methodology ◽  
Stock Exchange ◽  
Class Action ◽  
Current View ◽  
Content Type ◽  
Industry Sector ◽  
Class Actions ◽  
Trends Over Time ◽  
Loss Index

Purpose To provide an analysis of securities class action filings in 2015 along with related trends over time and a comprehensive current view of the securities class action landscape. Design/methodology/approach Details 2015 securities class actions and related trends in terms of the number and size of filings; market capitalization losses; the litigation exposure of IPOs; the classification of complaints; litigation likelihood for US exchange-listed companies; resolutions (settlements, dismissals or trial verdict outcomes); timing of dismissals and settlements; filing lags; filings against foreign issuers; number of mega filings; recent rulings related to class certification; and concentration of class action activity by industry sector, stock exchange and court circuit. Findings The number of filings in 2015 was the largest since 2008. The Disclosure Dollar Loss Index® (DDL Index®), the Maximum Dollar Loss Index® (MDL Index®) and the number of mega filings rose sharply in 2015 after declines in 2014. The Consumer Non-Cyclical sector had the most filings in 2015 while filings against companies in the Financial sector were below historical averages. Dismissal rates appear to be trending down. The median filing lag has never been shorter than in 2015. Filings against foreign issuers remain at high levels. Filings against S&P 500 companies remained below the historical average. Originality/value Detailed analysis by legal and industry experts.

The relationship between audit components and audit expectation gap in listed companies on the Tehran stock exchange

2019 ◽  
Vol 18 (1) ◽  
pp. 199-222 ◽  
Author(s):  
Mahdi Salehi ◽  
Fariba Jahanbin ◽  
Mohammad Sadegh Adibian
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Stock Exchange ◽  
Audit Fees ◽  
Listed Companies ◽  
Multiple Regression Model ◽  
Content Type ◽  
Expectation Gap ◽  
Audit Firms ◽  
The Relationship

Purpose The expectation gap between auditors and users has recently been the topic of many controversies. This paper aims to evaluate the relationship between auditor’s characteristics and audit expectation gap among information users in listed companies on the Tehran stock exchange market. In other words, the study attempts to find whether there is a significant relationship between audit components and the audit expectation gap or not. Design/methodology/approach The multiple regression model is used to test the hypotheses. Research hypotheses are tested using a sample of 78 listed companies on the Tehran stock exchange during 2012-2016, by using integrated data technique of the multiple regression model. Findings The findings show that standard audit fees are not significantly associated with the audit expectation gap. Furthermore, audit fees are negatively associated with the audit expectation gap, which provides that allocated audit price in financial statements gives useful information for external and internal individuals. Predictably, it is recommended that audit opinion significantly determines the level of the audit expectation gap. The authors also find that the independence of the director boards and audit committee members fulfill the expectation gap of individual users. Moreover, finding the negative impact of audit firms ranking on the expectation gap, supports the idea of higher ranked audit firms provide high quality services, and consequently, more reliable information. Finally, the results show that the audit record is positively associated with the audit expectation gap. Originality/value As all recent studies on the expectation gap were qualitative, the present study is the first paper, which measures the expectation gap quantitatively through the statistical method.

scholarly journals Stock return and financial performance as moderation variable in influence of good corporate governance towards corporate value

2019 ◽  
Vol 4 (1) ◽  
pp. 18-34 ◽  
Author(s):  
Suhadak Suhadak ◽  
Kurniaty Kurniaty ◽  
Siti Ragil Handayani ◽  
Sri Mangesti Rahayu
Keyword(s):  
Corporate Governance ◽  
Financial Performance ◽  
Stock Price ◽  
Stock Return ◽  
Stock Exchange ◽  
Complete Information ◽  
Company Performance ◽  
Corporate Value ◽  
Content Type ◽  
Good Corporate Governance

Purpose The purpose of this paper is to evaluate how much influence good corporate governance (GCG) has on corporate value, as well as moderating effect of stock return and financial performance on the influence of GCG on corporate value. Design/methodology/approach This study was an explanatory study. The unit of analysis was the companies listed in LQ45 in Indonesian Stock Exchange and the sources of data were ICMD, annual report and financial reports of the companies. Indonesian Stock Exchange was selected as the setting of the study since Indonesian Stock Exchange is one of trading places for various types of companies in Indonesia, and it provides complete information on company’s financial data and stock price. The population was 84 companies listed in LQ45 in Indonesian Stock Exchange between 2010 and 2016. Findings The higher GCG, independent commissioners proportion, institutional managerial and public ownerships resulted in higher corporate value. MBE and PER stock return is a moderating variable in the influence of GCG on corporate value. Financial performance is moderating variable in the influence of GCG on corporate value. Originality/value Based on the previous studies, it may be concluded that there is a gap between the influence of GCG on corporate value and the influence of stock return on financial performance, and moderating variable is needed to evaluate the influence of GCG on company performance, more particularly stock return and financial performance. This discrepancy creates opportunity for conducting an in-depth study on those variables. Its novelty is correlation between stock return and financial performance as moderation. Previous studies used these as mediating variables. This study is going to generate different finding as it is conducted in different setting (country where this study is conducted), type of industry, research period and using different method of analysis.

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