This master’s thesis is aimed at practical use of fundamental analysis of stocks. Its main goal is, on the basis of defined procedures, to analyze and valorize companies ČEZ, a. s., ECM Real Estate Investments A. G. and then decide about possible investments into the stocks of these companies. This thesis is divided into two main parts. First part deals with theoretical solutions of fundamental analysis and brief comment of another two ways how to analyze stocks – graphic and psychological analysis. In second part there is a practical elaboration of fundamental analysis for aforesaid companies and, in the end of this thesis, there is a summary of achieved results with brief commentary for possible investors.

The aim of this thesis is to design an investment strategy focused on tool called CFD. The first theoretical part contains basic information about financial derivates and explains basic principles of trading on stock market with contracts for difference. Chapter of the investment analysis explains the methods and rules used in trading. The practical part presents the results of my trading CFDs and evaluated my proposed strategy along with the benefits of work.

The main aim of this diploma thesis is to analyze the options of trading Forex by combining fundamental and technical analysis in connection to intraday trading. One of the goals is to identify pros and cons of these analysis. Based on the gained information, design trading portfolio consisting of different strategies. Each strategy will be programmed as automated trading system and optimized and tested on historical price data.

The problem associated with value shares is that they may remain undervalued for an extended period of time. Therefore, determining when to buy value shares has been the focus of many investors and academics. Studies have determined fundamentals provide valuable information when selecting shares while price momentum provides a decent timing indicator. This research examines a novel share selection approach which seeks to combine fundamentals with momentum to obtain a leading timing indicator.This research seeks to determine if the fundamental momentum indicator can successfully and consistently separate value winners from value losers. The value portfolios were formed using a composite valuation measure made of three separate indicators. The Value portfolio was then ranked based on the strength of the fundamental momentum indicator.This research identified that Leverage Factor and Current Ratio momentum was able to separate value winners from losers in a consistent manner. However, only Current Ratio momentum was capable of creating portfolios which could consistently outperform the market. Therefore, this research identified that fundamental momentum could be used as a timing indicator when acquiring value shares. / Dissertation (MBA)--University of Pretoria, 2012. / Gordon Institute of Business Science (GIBS) / unrestricted

Advances in information technology have presented the potential to automate investment decision making processes. This will alleviate the need for manual analysis and reduce the subjective nature of investment decision making. However, there are different investment approaches and perspectives for investing which makes acquiring and representing expert knowledge for share evaluation challenging. Current decision models often do not reflect the real investment decision making process used by the broader investment community or may not be well-grounded in established investment theory. This research investigates the efficacy of using ontologies and Bayesian networks for automating share evaluation on the JSE. The knowledge acquired from an analysis of the investment domain and the decision-making process for a value investing approach was represented in an ontology. A Bayesian network was constructed based on the concepts outlined in the ontology for automatic share evaluation. The Bayesian network allows decision makers to predict future share performance and provides an investment recommendation for a specific share. The decision model was designed, refined and evaluated through an analysis of the literature on value investing theory and consultation with expert investment professionals. The performance of the decision model was validated through back testing and measured using return and risk-adjusted return measures. The model was found to provide superior returns and risk-adjusted returns for the evaluation period from 2012 to 2018 when compared to selected benchmark indices of the JSE. The result is a concrete share evaluation model grounded in investing theory and validated by investment experts that may be employed, with small modifications, in the field of value investing to identify shares with a higher probability of positive risk-adjusted returns.

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Syftet med studien är att undersöka huruvida det är möjligt att generera högre avkastning genom fundamental analys med fokus på värdeinvestering och Joseph Piotroskis modell (2000) Fundamental Signal Score (F-SCORE). Modellen testas på den svenska aktiemarknaden under perioden 2007-2015. Genom att skapa 27 fiktiva portföljer, beräkna årlig avkastning och jämföra dem mot marknadsindexet SIXRX utvärderas modellens möjligheter att skapa marknadsjusterad avkastning på den svenska aktiemarknaden. Vidare undersöks modellens statistiska samband med avkastning samt kvoten mellan bokfört värde och marknadsvärde (B/M). Studien visar att H_F-portföljen bestående av företag med höga F-SCORES (7-9) gav upphov till bättre marknadsjusterad avkastning än både HBM-portföljen, bestående av företag med höga B/M-tal samt L_F-portföljen med F-SCORES mellan 0-3. Resultatet indikerar att det är möjligt att hitta undervärderade tillgångar och slå marknaden fem av nio gånger genom tillämpning av F-SCORE på den svenska aktiemarknaden. Detta innebär att den effektiva marknadshypotesen (EMH) inte är lika effektiv som teorin antyder. / The aim of this paper is to examine whether it is possible to generate higher returns through the use of fundamental analysis with focus on value investing and Joseph Piotroski’s (2000) model called Fundamental Signal Score (F-SCORE). The model is tested on the Swedish Stock Market during the period 2007-2015. By forming 27 fictive portfolios, calculating yearly returns and comparing them to the SIXRX benchmark, the model’s possibility to generate market-adjusted returns on the Swedish Stock Market is evaluated. Furthermore, the model’s correlation with the returns and book-to-market ratio (B/M) are tested statistically. The study shows that the H_F-portfolio consisting of companies with high F-SCORES (7-9) gave rise to better market-adjusted returns than both the HBM-portfolio, consisting of companies with high book-to-market ratios, and the L_F-portfolio with F-SCORES between 0-3. The results indicate that it is possible to find undervalued assets and beat the market five out of nine times by using the F-SCORE on the Swedish Stock Market. Therefore, the efficient market hypothesis (EMH) is not as efficient as the theory applies.

The thesis is dealing with selected methods analysis of fundamentals analysis on the Czech market in a period of year 2006 -- 2010. First chapter is thinking about theoretical bases of the theses, concretely offers basic characteristic and overview of discount models of dividend and the models of interest for setting the share intrinsic value . This will be used in a practical part of dissertation. The second chapter is focusing on the shares evaluating by dividend discounted models and their fruitfulness in the time. In the begining are companies characteristics which shares create the sample used to succesfulness models testing. After this part follows analysis of selected inputs which are used to the final evaluating. The third chapter is answering the questions about analysis of interest models and about the general evaluating of the fruitfulness of all selected models in the individual backdrops.

This paper uses a fundamental investment strategy model developed by Piotroski (2000), called F_SCORE. The model uses accounting-based ratios applied for portfolios of high book-to-market firms. The aim of the study is to test the model for the US stock market during the years 1998-2015, as well as to develop it. The first test uses the original model during the specified time period. The next step is to develop the model by using correlations between each of the signals and future returns that Piotroski (2000) has proven to exist. The test showed that the F_SCORE outperforms the market during the time period. In the developed model the return can be increased even further. The result shows that the market adjusted return can be increased by an average of 24.7 % annually. The developed model thereby generates a better market adjusted return than Piotroski's original model. / Följande examensarbete använder en fundamental investeringsstrategi framtagen av Piotroski (2000) som benämns F_SCORE. Strategin har sin utgångspunkt i finansiella rapporter gällande företag med höga book-to-market. Syftet med studien är att testa modellen för den amerikanska marknaden under åren 1998–2015, samt utveckla den. Det första testet använder ursprungsmodellen under den angivna tidsperioden. I nästa steg utvecklas modellen genom att hänsyn tas till respektive nyckeltals korrelation med avkastning som Piotroski (2000) visat existerar. Testet visade att F_SCORE överträffar marknaden under den valda tidsperioden. I den utvecklade modellen gick det att öka avkastningen ytterligare. Resultatet visar att det går att öka den marknadsjusterade avkastningen med i genomsnitt 24,7 % per år. Den utvecklade modellen genererar därmed en bättre marknadsjusterad avkastning än Piotroskis originalmodell.

Thesis (Ph.D. (Risk Management))--North-West University, Potchefstroom Campus, 2008.