Special Issue "Company Assessment: Basis of Its Sustainable Development"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: 30 September 2020.

Special Issue Editor

Dr. Marek Vochozka
Website SciProfiles
Guest Editor
School of Valuation and Expertness, Institute of Technology and Business in České Budějovice, Okružní 10, Czech Republice
Interests: company evaluation; company assessment; financial analyses; benchmarking; corporate finance; financial health; financial distress; bankruptcy

Special Issue Information

Dear Colleagues,

As a Guest Editor, I would like to invite you to participate in the Special Issue “Company Assessment: Basis of Its Sustainable Development” in the Journal Sustainability. The offered topic is current; I have been interested in it for my entire professional career. It involves company evaluation, company assessment, financial analyses, benchmarking, corporate finance, financial health, financial distress, and bankruptcy.

I hope you will see it as an opportunity to discuss your research results with people interested in your topic, i.e., a company assessment.

Dr. Marek Vochozka
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • company evaluation
  • company assessment
  • financial analyses
  • benchmarking
  • corporate finance
  • financial health
  • financial distress
  • bankruptcy

Published Papers (3 papers)

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Research

Open AccessArticle
Financial Analyses and Corporate Evaluation on Sustainable Ability to Generate Excess Profit
Sustainability 2020, 12(11), 4647; https://doi.org/10.3390/su12114647 - 06 Jun 2020
Abstract
This study empirically examined financial analyses and a market assessment on goodwill. Goodwill is not an individually identifiable asset but is recognized as an intangible asset because it is viewed as having future economic benefits from a business combination. The verification period for [...] Read more.
This study empirically examined financial analyses and a market assessment on goodwill. Goodwill is not an individually identifiable asset but is recognized as an intangible asset because it is viewed as having future economic benefits from a business combination. The verification period for this study was from 2011 to 2019. The sample companies were 13,522 firms-years satisfying the selection criteria among listed companies in the Korean stock market. As a result of empirical analysis, it was found that goodwill is related to stock prices. Goodwill was shown to serve as useful accounting information by reflecting the economic realities of intangible assets called creating excess profitability and sustainable profit. For analysis, regression analysis was conducted by separating the companies listed on the KOSPI stock market and those listed on the KOSDAQ stock market. The results of the analysis were as follows. In the case of listed companies in the KOSPI stock market, goodwill was found to have a positive (+) stock price relationship as useful accounting information. These results suggested that goodwill is an asset that represents the ability to generate excess profit as a sustainable profit. The contributions of this study are as follows. First, this study verified that goodwill is related to stock prices even after the adoption of International Financial Reporting Standards (IFRSs). Second, it will be possible to induce rational decision-making regarding goodwill to accounting standards setters, supervisors, and users of financial information. Third, it recognized that the value of the financial market can be recognized only by providing reliable accounting information to the managers who prepare financial statements. This can lead managers to provide capital markets with more useful information. Full article
(This article belongs to the Special Issue Company Assessment: Basis of Its Sustainable Development)
Open AccessArticle
Business Failure Prediction for Slovak Small and Medium-Sized Companies
Sustainability 2020, 12(11), 4572; https://doi.org/10.3390/su12114572 - 03 Jun 2020
Cited by 2
Abstract
Prediction of the financial difficulties of companies has been dealt with over the last years by scientists and economists worldwide. Several prediction models mostly focused on a particular sector of the national economy, have been created also in Slovakia. The main purpose of [...] Read more.
Prediction of the financial difficulties of companies has been dealt with over the last years by scientists and economists worldwide. Several prediction models mostly focused on a particular sector of the national economy, have been created also in Slovakia. The main purpose of this paper is to create new prediction models for small and medium-sized companies in Slovakia, based on real data from the Amadeus database from the years 2016–2018. We created prediction models of financial difficulties of companies for 1 year in advance and also a model for 2 years prediction. These models are based on the combination of two methods, discriminant analysis and logistic regression that belong, among others, to the group of the most commonly used methods to derive prediction models of financial difficulties of the companies. The overall prediction powers of the combined model are 90.6%, 93.8% and 90.4%. The results of this analysis can be used for early prediction of the financial difficulties of the company, that could be very useful for all the stakeholders. Full article
(This article belongs to the Special Issue Company Assessment: Basis of Its Sustainable Development)
Open AccessArticle
Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods
Sustainability 2020, 12(10), 3954; https://doi.org/10.3390/su12103954 - 12 May 2020
Cited by 1
Abstract
Predicting the risk of financial distress of enterprises is an inseparable part of financial-economic analysis, helping investors and creditors reveal the performance stability of any enterprise. The acceptance of national conditions, proper use of financial predictors and statistical methods enable achieving relevant results [...] Read more.
Predicting the risk of financial distress of enterprises is an inseparable part of financial-economic analysis, helping investors and creditors reveal the performance stability of any enterprise. The acceptance of national conditions, proper use of financial predictors and statistical methods enable achieving relevant results and predicting the future development of enterprises as accurately as possible. The aim of the paper is to compare models developed by using three different methods (logistic regression, random forest and neural network models) in order to identify a model with the highest predictive accuracy of financial distress when it comes to industrial enterprises operating in the specific Slovak environment. The results indicate that all models demonstrated high discrimination accuracy and similar performance; neural network models yielded better results measured by all performance characteristics. The outputs of the comparison may contribute to the development of a reputable prediction model for industrial enterprises, which has not been developed yet in the country, which is one of the world’s largest car producers. Full article
(This article belongs to the Special Issue Company Assessment: Basis of Its Sustainable Development)
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