Research background: Misleading financial reporting has a negative impact on all stakeholders since financial records are the primary source of information on financial stability, economic activity, and financial health of any company. The handling of them is primarily the responsibility of managers or owners and reasons for doing so may differ. Their common denominator is the artificial creation of information asymmetry to get different types of benefits. It is, therefore, logical that the issue of detecting opportunistic earnings management comes to the fore. Purpose of the article: The purpose of the study is to create a discriminant model of the detection of earnings manipulators in the conditions of the Slovak economy.  Methods: We used the discriminant analysis to create a model to identify fraudulent companies, based on the real data on companies that were convicted from misleading financial reporting in connection with tax fraud in the years 2009–2018. The model is inspired by the Beneish model, which is one of the most applied fraud detection methods at all. Findings & Value added: In order to achieve more accurate detection results, we extended the original model by taking into account the values of indicators from three consecutive years, i.e. by taking into account the development of the potential tendency of companies to be involved in opportunistic earnings management. Our model correctly identified 86.4% of fraudulent companies and overall reaches 84.1% classification ability. Both models were applied on empirical data on 1,900 Slovak companies from the years 2016–2018, while their overlap was 32.7% for fraudulent companies and 38.4% for non-fraud companies. This is a very useful result, as the application of both models rein-forces the results obtained and the identical classification of the company into fraudulent indicates that the manipulation of earnings occurs with a high probability.

With the rapid development of computational technology, non-traditional mathematical and statistical methods have also parallely developed to help simplify and accelerate the computation of certain tasks, or even to solve problems that are usually unsolvable. The aim of this paper is to get closer to the P/E earning models and briefly summarize their calculation and usage options. In the first part of our paper we briefly worked out the theoretical basis of these models. Furthermore, we focused on a detailed description of their calculation and use in calculating the value of shares. In the second part of the work we focused on the application of the calculation of the selected P / E model to Apple inc. in the course of 2018 and compared the data obtained with another instrument to identify the intrinsic value of the action. In the last part we focused on the interpretation and summary of the results of the application. We consider the greatest added value of our contribution to be a theoretical comparison of different types of calculation and deeper application of the selected model to real market prices of Apple inc. with the interpretation of the results obtained. We can conclude that the aim we have set is met and we believe that our article will be a valuable addition to the issue in this area.

The internationalisation and globalisation of today’s world, especially in business, brings whole new range of opportunities, challenges and also many kinds of risks. Today´s global market in process of globalization offers many different ways of doing business and also whole new ranges of methods how to analyse optimize and also minimize it´s risks. The issue of bankruptcy models is still relevant given by the high competition in the markets and the increasingly frequent crises. Not only in the world, but also in our country, we can see a huge number of bankruptcies of businesses. If the company wants to thrive and successfully compete in the market environment, it should conduct a regular financial analysis of its activities, evaluate successes and failures, and use the results obtained to make strategic decisions about future business development. The aim of the article is to examine the possibilities of predicting the bankruptcy of companies and describe their individual procedures. In the first part of the paper we defined the terms such as insolvency, decline of company and bankruptcy. We continue with a brief overview of the development of bankruptcy models from the first attempts to modern practices. We have described and defined each model in detail, described its specifics, and described the calculation procedure. The biggest added value of this paper is a comprehensive elaboration of an overview of the possibilities of predicting company manrots through bankruptcy models. We can say that the goal of the post has been fulfilled.

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Research background: This article was conceived as a very valuable basis and the result of theoretical research in the field of microeconomics with a specific application. Specifically, in the article we tried to accurately describe the logic and predictive weight of the Volume profile method with reference to the exact descriptions of the functioning of the market mechanism. Purpose of the article: The aim of our paper is to describe in detail and identify the microeconomic foundations of the Volume Profile prediction tool. Methods: In the first chapter of the article, we described in detail the investigated method of volume profile. Subsequently, we described its logic, functions and detailed calculation as well as its use. We continued with a description of the basic interactions between supply and demand, as well as a description of the market mechanism. Findings & Value added: The result was an accurate identification and description of the connection between the operation of the investigated prediction method and its microeconomic basis.