The Analysis of the Economical Value Added in Transport

The economic value added (EVA) is an indicator which can show the success of the company on the market. Its importance is ever growing since it is used in benchmarking analyses and in practical management of a company as a managers’ motivational factor. In the Czech Republic, quarterly surveys of selected indicators take place allowing an on-year comparison of the development of various sectors of the economy. Since the analysis of data has been carried out on a long-term basis, these data can be used for an analysis for a longer period and compare the performance data of a company. This article is focused on the analysis of EVA of transport companies in the Czech Republic. In this regard, benchmarking will reflect the ownership structure and the transport companies will be compared with the rest of the non-financial sector of the economy

Determination of Value Drivers for Transport Companies in the Czech Republic

Transport is one of the key sectors of the European economy. Effectiveness of transport companies depends mainly on the changes in the given environment. Transport companies differ from other types of companies especially in higher focus on ecology, not storing the services offered or high cost investments. The aim of each business is generally the increase of the value of the company. The objective of this contribution is thus to identify the value drivers of a transport company in the Czech Republic, provided that the value of the company is measured by means of the EVA equity indicator. The data set contains complete financial statements of 1500 transport companies in the Czech Republic for the year 2016. For each company, the EVA equity value is calculated. For the analysis, the Statistica software and the method of artificial neural networks are used. 1000 neural networks are generated, out of which 5 showing the best results are retained. In total, 12 variables are chosen that enter/play a part in the process of the company value creation. Based on the sensitivity analysis, the most important components of the variable are the financial result, consumption of material and energy and the profit on ordinary operations

Comparison of Neural Networks and Regression Time Series in Estimating the Development of the Afternoon Price of Palladium on the New York Stock Exchange

Purpose of the article: Palladium is presently used for producing electronics, industrial products or jewellery, as well as products in the medical field. Its value is raised especially by its unique physical and chemical characteristics. Predicting the value of such a metal is not an easy matter (with regard to the fact that prices may change significantly in time). Methodology/methods: To carry out the analysis, London Fix Price PM data was used, i.e. amounts reported in the afternoon for a period longer than 10 years. To process the data, Statistica software is used. Linear regression is carried out using a whole range of functions, and subsequently regression via neural structures is performed, where several distributional functions are used again. Subsequently, 1000 neural networks are generated, out of which 5 proving the best characteristics are chosen. Scientific aim: The aim of the paper is to perform a regression analysis of the development of the palladium price on the New York Stock Exchange using neural structures and linear regression, then to compare the two methods and determine the more suitable one for a possible prediction of the future development of the palladium price on the New York Stock Exchange. Findings: Results are compared on the level of an expert perspective and the evaluator’s – economist’s experience. Within regression time lines, the curve obtained by the least squares methods via negative-exponential smoothing gets closest to Palladium price line development. Out of the neural networks, all 5 chosen networks prove to be the most practically useful. Conclusions: Because it is not possible to predict extraordinary situations and their impact on the palladium price (at most in the short term, but certainly not over a long period of time), simplification and the creation of a relatively simple model is appropriate and the result is useful

Role of due diligence in business takeover

Motivation: The topic of the article is of paramount importance in today’s ever-evolving business landscape. As companies strive to expand their operations and stay ahead of the competition, mergers and acquisitions have become a popular strategy. However, the risks and complexities associated with these transactions cannot be overlooked. Understanding the role of due diligence is essential for any organization considering a business takeover. It serves as a powerful tool to uncover potential risks, assess the viability of the transaction, and make well-informed decisions. By conducting a thorough due diligence process, companies can identify financial discrepancies, legal liabilities, operational inefficiencies, and hidden risks that may impact the success of the transaction.Aim: The goal of the research was to analyze to what extent is the resulting value of a business is affected by improperly performed due diligence. The method used for data collection was in-debt literature research based on the Web of Science database. Subsequent content analysis was used to identify the 10 most common errors that can occur during the process of due diligence. The following research used the data obtained from answering the first research question with. Ishikawa fishbone diagram was used as a specific method of causal analysis.Results: The main findings include the identification of the most common errors occurring during the performance of due diligence, such as wrong financial analysis, incomplete financial accounts, Incomplete accounting statements, or adjusting entries for receivables. The main causes include excessive work pressure on auditors, past due receivables, poor supplier vetting, or failure to document the application of prices. The research is beneficial for auditors or audited companies so that they could avoid such errors. However, there are also several limitations as it is very time and cost-consuming to deal with due diligence on a company-by-company basis. Also, the application of Ishikawa fishbone diagram and brainstorming prior to diagram depends on the number of experts involve. Another limitation is that the research results applied under current accounting legislation only, and there are different laws and regulations in different countries

Financial Analysis of an Average Transport Company in the Czech Republic

The goal of this summary is to introduce shortly the financial analysis, the features typical for transport companies in general, and determine the financial characteristics of an average transport company in the Czech Republic. Financial analysis is an effective tool for the evaluation of enterprise financial efficiency. It is able to identify the strengths and weaknesses of a given enterprise. It is key tool for every transport company to measure and evaluate its efficiency. That will be helped by the balance sheet information, profit and loss statement information or cash flow statement. Ratios of profitability, activity ratios, Liquidity ratios, Debt ratios, absolute indicators, and the method of comprehensive evaluation of enterprise are used mainly. The data analysed in this contribution come from the Albertina database. It is the information of transport companies for the period of 2010 – 2014. Financial analysis of an average transport company is worked out based on the established data, and therefore the state of the future potential of transport in the Czech Republic. It can be claimed that the branch of transport is financially healthy and promising in the Czech Republic. Extension of growth, which has started already in 2011, is expected even further

Концептуальні положення розвитку національної інноваційної системи України

The article systematizes the existing scientific approaches to the development of national innovation systems (NISs), determines the NIS value for the development of a country. It emphasizes the existence of differences between the NIS concept in developed and developing countries. The article presents the development of basic points of the NIC concept that are the most important to understand its nature.У статті систематизовано існуючі наукові підходи до розвитку національних інноваційних систем (НІС), визначено значення НІС для розвитку країни. Наголошено на існуванні відмінностей у концепції НІС в розвинених країнах та в країнах, що розвиваються. Також було сформульовано базисні положення концепції НІС, які мають найбільше значення для розуміння її сутності

Traffic Service Solution for Rural Settlements by Means of Tertiary Country Roads

The article focuses on the issue of traffic service for rural settlements and related production, tourist and recreation activities in rural areas in the conditions of the Czech Republic by means of rural tertiary roads. The article declares their critical importance for assurance of traffic service and penetrability of the Czech rural areas. Theoretical grounds have been specified for their designing, as well as basic criteria and parameters. A selected territorial segment is used to demonstrate a system approach to this issue and traffic flows are classified in terms of the type, direction and intensity. In conclusion, the article summarizes benefits of the solution defined by the described method

Estimation of the development of the Euro to Chinese Yuan exchange rate using artificial neural networks

The exchange rate is one of the most monitored economic variables, from the position of individual citizens or economists, financial institutions or entrepreneurs. In the long run, it is a reflection of the condition of the economy, and in the short and medium term it has a significant impact on the economy. The time series of currency development maps past developments, current status, and is also able to predict future developments. This article analyzes the time series of the development of EUR to Yuan exchange rate using artificial intelligence. It aims to evaluate this development and to indicate the prediction of the future development of EUR to Yuan

Comparison of neural networks and regression time series in estimating the Czech Republic and China trade balance

Foreign trade has been and is considered to be very important. Trade balance measurement provides one of the best analyzes of a country's external economic relations. It serves as a monetary expression of economic transactions between a certain country and its foreign partners over a certain period. The aim of this paper is to compare the accuracy of time series alignment by means of regression analysis and neural networks on the example of the trade balance of the Czech Republic and the People's Republic of China. Trade balance data between the Czech Republic and the People's Republic of China is used. This is a monthly balance starting in 2000 and ending in July 2018. First, a linear regression is made followed by regression using artificial neural networks. A comparison of both methods at expert level and experience of the evaluator, the economist, is performed. Optically, the LOWESS curve appears to be best out of the linear regression and the fifth preserved RBF 1-24-1 network seems the mot appropriate out of neural networks