Background A common goal for many investors is to beat the market. However, only a few are able to do so consistently over a long time. The random walk theory and the efficient market hypothesis are two widely accepted theories that state that it should not be possible to consistently generate abnormal returns in an efficient market. There are though some contradicting results that argue against market efficiency and a lot of those studies have value investment in common. Joseph Piotroski was in 2000 able to generate a value investment model that consistently beat the market between the years 1976-1996. Purpose The purpose of this paper is to test Piotroski’s model on stock markets with different size and maturity to evaluate if the model, as an investment strategy, can generate a better risk adjusted rate of return than a comparable market index. Unlike recent studies done on Piotroski’s value investing model, we will add a number of additional comparison portfolios and use two different valuation models to determine the source of return variation. Method This thesis employed a quantitative research method with a deductive approach. With data from four markets with different characteristics regarding efficiency and development, we performed an ex-ante test from 1995 to 2009. By employing Piotroski’s model, each stock on the four markets was given a score from 0-9; a portfolio for each market was created by the stocks that received a score of 8-9. They were then compared with portfolios from the same market based on the small firm- and book-to-market anomaly. We also performed a test between the markets to see if Piotroski’s model worked better in low efficiency or developed countries. All portfolios in this thesis were risk-adjusted with two different models, CAPM and the Fama & French three-factor model. Since these models use various factors to risk-adjust we have tested if they generate a different valuation of the same portfolio. Results Our study has shown that Piotroski’s model is not able to generate significant abnormal returns compared to our portfolios based on anomalies, our results also give an indication that by removing the anomaly premium the model might be destroying value instead of creating it. An explanation to why the model works in Piotroski’s study and not in ours could be the different method of risk adjustment. Piotroski uses a simple method by deducting the market return while we use two models that are taking additional factors into account. Our results are also able to show that choice of the valuation model does have a significant effect on the risk-adjusted return and could therefore affect the end-results of a study. Last of all our results do not give any support for the hypothesis that Piotroski’s model works better in countries with low efficiency compared to high efficiency or in countries that are developed compared to emerging.

The purpose of the theses is the investment opportunity valuation. The beginning of the theses concentrates mainly on theoretical methods where the basic valuation methods are explained. These methods are then used to evaluate the projects as a whole. The following part introduces the company for which an investment opportunity occurred. Subsequently, the investment opportunity itself is explained and evaluated by appropriate methods. The result of the theses is to support a decision if the investment opportunity should be accepted or rejected.

This diploma thesis aims at the return on investment associated with construction of a residential building in the cities of Hradec Králové and Brno. As a first step, we calculate the investment amount needed to construct the building and set the rent for each apartment. Next, we determine whether discounted net rent from all residential units will cover construction costs. Investment payback period will be then assessed. We also calculate market value for each unit and a summarized value for selling all the units. Finally, we determine which of the following scenarios leads to higher profits – selling the residential building unit by unit versus renting the units. This evaluation will also take into account the results difference based on chosen city.

This Master's Thesis deals with the evaluation of investment into residential redevelopment of a former Libeň's harbour in Prague. The Thesis' aim is to decide whether the planned project creates enough profit and to find what is the maximum price the developer should be willing to pay for the land. The theoretical part focuses on key words definition, specification of investment decisions and describes evaluation methods including the definition of input parameters. The practical part includes strategic analysis evaluating macroeconomic situation of Czech republic, Prague's real estate market and describing the forces, which determine the competitive environment of the project. The investment evaluation is based on the data ascertained in strategic analysis using the methods described in the theoretical part. The risk analysis is finally applied on the evaluation methods' results.

The master's thesis is focused on the use of the strategic management accounting tools for investment decision-making in construction industry. It's mostly directed at mutual integration of life time costing and net present value methods. The topic has been solved in two closely connected main parts. The first part deals with the possibilities of both instruments application with the emphasis on construction industry. The second part evaluates a particular construction project with the use of the tools and gives the base for creating an investment recommendation whether to realise the project, or not.

The thesis focuses on determination of cash flow and evaluation of economic efficiency of the development project of the residential construction in Brno. The theoretical part deals with basic evaluation of economic efficiency of investment project including the most used indicators and gives insight into the developing activity including risks that companies must count with in such projects. The practical part deals with the particular project where cash flows are determined and its economic efficiency is evaluated.

The thesis deals with an evaluation of the investment project for storage automation in an engineering company. The theoretical part of the thesis describes topics of investment and investment decision-making, methods of evaluation of investment projects, sources of investment financing and storage. At the beginning of the practical part of the thesis, the realized investment project was introduced and its technical specification was presented. In the analytical part of the thesis, the company's balance sheet was evaluated, gathering and analysis of calculation data was carried and a calculation of yearly revenues and costs was performed. Subsequently, calculations of investment efficiency were performed using dynamic methods of evaluation of investment projects and sensitivity analysis of input factors. In the final part of the thesis, the evaluation of the results was performed and recommendations for future investments of the company in the same technology were set.

This master’s thesis analyze and assesses the investment project of SAKO Brno and its own effectiveness. The first part includes theoretical knowledge of investment practices, procedures and possible methods of evaluation. The second part is devoted to familiarization with the company and the investment project "Waste Management Brno". In addition, financial analysis and calculations associated with the investment project. The conclusion will assess whether the project is profitable, when will it return and formulation of possible measures for other investment projects.

The aim of this master thesis is to create a fundamental analysis of selected European automobile manufacturing companies, which are enlisted in the stock market and are publically traded. Goal of this fundamental analysis is to propose an ideal portfolio which should outperform the average car industry market. All information which are used during this work are publically accessible on the websites of every mentioned company. First part of this work is devoted to the description of methods, which are used through the whole article. Second part is describing selected companies and the reasons of the selection itself. Third part is devoted to the comparison of selected companies. Forth part is describing methods used for verification of the results, methods used for this verification are calculation of the inner value of security and bankruptcy models. The recommendation for the ideal portfolio for the European car industry is created in the last part of this thesis.

A rational long-horizon stock investment decision is a complex process due to uncertainty in supply and demand, competitive advantage, macroeconomic parameters and various perspectives of investors. Today, the '€˜non-tangible assets'€™ (NTA) that include goodwill and intangible assets are a significant part of corporate assets, but their role in stock performance has not well studied. The purpose of this research is to empirically analyze the implications of NTA and of gross domestic product (GDP) of the United States on the stock price. According to the efficient market hypothesis, stock price reflects all relevant information. The research question focused on the extent to which NTA and the GDP reflected in the stock price. To determine the extent to which NTA and GDP reflected on the stock price, regression analysis and other statistical tests were used. The sample for the empirical study was 56 corporations listed on the New York Stock Exchange (NYSE) and National Association of Securities Dealers Automated Quotation (NASDAQ). The required data from October 2007 to September 2018 were collected from the United States Securities and Exchange Commission (SEC) and the United States Bureau of Economics (BEA). The key findings of the study are: the NTA and stock price of 45 corporations have a statistically significant correlation as opposed to 11 corporations. The combined NTA of these 11 corporations for the third quarter of 2018 was $531.64 billion. Furthermore, the GDP and stock price of 53 corporations have a statistically significant correlation, but no evidence for three corporations was found. The significance for positive social change is knowledge from this research about the implications of NTA and GDP on stock performance that the investors, policymakers, and other stakeholders could use for preserving the limited resources and creating wealth.