Master’s thesis evaluates financial situation of CZ PROJEKT, s. r. o. company between years 2005 and 2010 with selected methods of financial analysis. The main goal of this thesis is to propose possible solutions for improving company’s financial situation in future.

The teoretical part of the thesis focuses on timeline and also on economic issues of mainly ratio indicators and their interpratation. The aim of this work is to analyze and evaluate selected economic indicators of the company, using timeline analysis and regressive analysis. The analysis is related to value prediction of selected economic indicators which I predicted for the next two years (2014 and 2015). Based on the detected values I proposed measures for successful future development of the company. I have processed the data using Gretl and Microsoft Excel programs.

The aim of this work is to analyze and evaluate selected economic indicators of the company, using timeline analysis, regressive and correlation analysis The teoretical part of the thesis focuses on timeline and also on economic issues of mainly ratio indicators and their interpratation.. The analysis is related to value prediction of selected economic indicators which I predicted for the next two years (2014 and 2015). Based on the detected values I proposed measures for successful future development of the company. I have processed the data using Gretl and Microsoft Excel programs.

The corona pandemic has had a major impact on the whole world to different degrees. The Swedish companies have been affected and forced to review their capital structure. A good result for the companies is essential to be able to compete in a vulnerable market. During a crisis, companies need to be active in their financing decisions and how they choose to finance themselves. Macroeconomic factors have a significant impact on the capital structure, as crises can make firms more constrained. The impact of the crisis on society and specifically on companies is therefore interesting to study. With this as a starting point, the main purpose of the study is to investigate how the capital structure has changed during the transition to covid-19, 2019 and 2021. To be able to analyze the purpose, the study explores what has an impact on the company's liabilities in relation to assets. The study has a quantitative research method with a deductive approach. The sample consists of 150 Swedish listed companies where the data set is made up of the companies annual reports. Six hypotheses have been developed to be tested through regression analyses. The dependent variables tested are total liabilities, current liabilities and long-term liabilities relative to total assets. The independent variables consist of age, size, profitability and growth. The result shows that marginal differences exist for the debt ratios between the period before and during the pandemic. Some of the independent factors have had a greater impact than others on the company's debt ratio, including size. Age is the factor that has no influence on the companies' leverage ratio. The study’s findings contribute to better understanding of how the corona pandemic affects the capital structure of Swedish companies. / Coronapandemin har påverkat hela världen i olika grad. De svenska företagen har blivit drabbade och behovet av att se över kapitalstrukturen har varit ett faktum. Ett gott resultat för företagen är väsentligt för att kunna konkurrera på en utsatt marknad. Företagen behöver under en kris vara aktiva i sina finansieringsbeslut och hur de väljer att finansiera sig. De makroekonomiska faktorerna har stor betydelse på kapitalstrukturen, eftersom kriser kan ledatill att företagen blir mer begränsade. Krisens påverkan på samhället och specifikt på företagen blir därav intressant att studera. Med detta som utgångspunkt är studiens huvudsyfte att undersöka hur kapitalstrukturen har förändrats vid övergång till covid-19, år 2019 och 2021.För att kunna analysera syftet utforskas vad som har en påverkan på företagets skulder i förhållande till tillgångar. Studien har en kvantitativ forskningsmetod med en deduktiv ansats. Urvalet består av 150 svenska börsnoterade företag där datamaterialet utgörs av företagensårsredovisningar. Sex hypoteser har framställts för att testas genom regressionsanalyser. De beroende variablerna som testas är totala skulder, kortfristiga skulder och långfristiga skulder i förhållande till totala tillgångar. De oberoende variablerna består av ålder, storlek, lönsamhet och tillväxt. Resultatet visar att marginella skillnader finns för skuldkvoterna mellan perioden före och under pandemin. Några av de oberoende faktorerna har haft större påverkan än andra på företagens skuldkvot, bland annat storlek. Ålder är den faktorn som inte har någon påverkan på företagens skuldsättningsgrad. Studiens resultat bidrar till ökad förståelse kring hur coronapandemin påverkar svenska företags kapitalstruktur.

Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-02-12T12:16:55Z No. of bitstreams: 1 diogosennacanongia.pdf: 2323385 bytes, checksum: a99ec9ad446059cd7c7ca2917bcf56d5 (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2016-02-26T12:11:14Z (GMT) No. of bitstreams: 1 diogosennacanongia.pdf: 2323385 bytes, checksum: a99ec9ad446059cd7c7ca2917bcf56d5 (MD5) / Made available in DSpace on 2016-02-26T12:11:14Z (GMT). No. of bitstreams: 1 diogosennacanongia.pdf: 2323385 bytes, checksum: a99ec9ad446059cd7c7ca2917bcf56d5 (MD5) Previous issue date: 2014-09-26 / FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais / A partir de Modigliani e Miller (1958) foi iniciada uma vasta discussão sobre a estrutura de capital das empresas. Entre as teorias que emergiram ao longo dos anos, destacase aquelas baseadas no equilíbrio (trade-off) entre benefícios e custos da dívida e a Pecking Order Theory, cuja criação é atribuída a Myers e Majluf (1984). Por outro lado, Almeida e Campelo (2010) apontam o fato de que as teorias até então abordadas negligenciavam o papel da restrição financeira na decisão dos gestores, afirmando que o comportamento das empresas financeiramente restritas poderia ser substancialmente distinto das demais. Shyam- Sunders e Myers (1999) mostram ainda que a maioria dos testes empíricos que confirmam, ora uma teoria, ora outra, carecem de poder estatístico, visto que uma teoria poderia mostrarse correta, ainda que as empresas se comportem de acordo com a teoria alternativa. Dessa forma, propõem um novo teste baseado em simulações para confrontá-las. A partir de uma base de dados com empresas brasileiras de capital aberto, entre 2000 e 2013, é proposto um teste amplo, que visa avaliar simultaneamente as principais proposições teóricas sobre trade-off. Num segundo momento, é proposto um novo teste para a Pecking Order Theory, que incorpora em sua forma funcional a questão da restrição financeira, levantada por Almeida e Campelo (2010). Posteriormente, objetiva-se confrontálas a luz do teste do poder estatístico proposto por Shyam-Sunders e Myers (1999). As teorias baseadas em trade-off apontam para a presença de custos de ajustamento, havendo ainda uma folga financeira de 7% para realocação de dívida em direção a um ponto ótimo, de acordo com suas características. A Pecking Order Theory com restrição financeira também é confirmada, de modo que as empresas que não sofrem restrição assumem dívida exatamente na proporção de seu déficit (incluído o investimento pretendido) enquanto nas demais empresas, sob restrição, o endividamento não se mostra correlacionado com o referido déficit. Por fim, entretanto, ambas as teorias falham para o teste do poder estatístico, mostrando-se “corretas” mesmo sob bases de dados simuladas pela teoria alternativa. Ademais, é proposto um teste para a determinação da estrutura da dívida per si, considerando a determinação simultânea entre o curto e o longo prazo, assim como a opção entre a dívida privada e a emissão pública de títulos. / Modigliani and Miller (1958) has initiated a wide discussion on the capital structure of companies. Among the theories that have emerged over the years, there are the theories base on equilibrium (trade-off) between debt costs and benefits. Also the Pecking Order Theory, which creation is attributed to Myers and Majluf (1984). According to Almeida and Campelo (2010) these theories have neglected the role of financial constraints on decision makers, concluding that the behavior of financially constrained firms could be substantially different from others. Yet, Shyam-Sunders and Myers (1999) demonstrate most empirical tests have, confirming this or that theory lack on statistic power, due to the fact that a theory coud be confirmed even if companies behave according to the alternative theory. The authors propose a new test, using simulations, to confront both theories. Using a data base of Brazilian publicly traded companies, between 2000 and 2013, an extensive test is proposed to simultaneously evaluate the main theoretical proposals about trade-off. Afterwards, a new test is proposed to the pecking order theory, with a formula that incorporates financial constraint, brought up by Almeida and Campelo (2010). Finally, both theories are confronted with the statistic power test proposed by Shyam-Sunders and Myers. Trade-off theories suggests adjustment costs and a financial slack of 7% for debt relocation towards optimal point, according to its characteristics. Pecking Order Theory with financial constraint is also confirmed and suggests that companies witch do not suffer from constraint undertake debt exactly in proportion of its deficit (including pretended investment) while in the other companies, under constraint, debt ratio is not correlated with deficit. Finnaly, both theories fail the statistic power test, because they are confirmed even when the database is simulated from the alternative theory. Moreover, another test is proposed, regarding the structure of de debt itself, considering the short term and long term debt are chosen simultaneously. Same logic applies for the simultaneous choice between private debt and issuing public debt.

S’appuyant sur les théories du financement hiérarchique et du compromis, cette recherche se donne pour objectif de tester empiriquement la relation structure financière-institution. Ces deux notions partagent des caractéristiques communes favorisant leur association conceptuelle à travers le ratio d’endettement cible spécifiquement via le comportement de conservatisme financier des entreprises. Cela ouvre de nouvelles possibilités d’analyses de ladite relation, notamment, en mobilisant le néo-institutionnalisme. Un échantillon de 204 entreprises françaises cotées à la bourse de Paris, ayant des données complètes entre 1999 et 2007, a servi à entreprendre le volet empirique de l’étude. Les principaux résultats indiquent que l’ensemble des déterminants traditionnels de la structure financière, à l’exception de la taille, joue un rôle important dans la politique de financement de ces entreprises. Le niveau de corruption et la liquidité du marché boursier français (variables institutionnelles juridico-financières) n’influencent pas le choix du niveau d’endettement, mais jouent plutôt un rôle significatif dans le choix de la maturité de la dette. Par ailleurs, la structure financière de ces entreprises converge lentement mais sûrement vers son niveau cible. / Based on the pecking order and trade-off theories, this research aims to test empirically the relationship between corporate capital structure and institution. Both concepts share common characteristics fostering their conceptual association through the target debt ratio specifically via corporate behavior of financial conservatism. This opens new possibilities for analysis of that relationship, in particular, by mobilizing the new institutionalism framework. A sample of 204 French companies listed on the Paris stock exchange, with complete data between 1999 and 2007, was used to undertake the empirical part of the study. The main results indicate that all the traditional determinants of capital structure, except the size, play an important role in the financing policy of these companies. The level of corruption and the French stock market liquidity (legal and financial institutional variables) do not influence the choice of debt level, but rather play a significant role in the choice of debt maturity. In addition, the financial structure of these companies converges slowly but surely toward its target level.

Over the recent decade the world has seen an increase in businesses launching new, or changing theirbusiness model to, digital platforms. New and established businesses are flocking to digital platformsin order to evolve their business model and keep up with advancements in technology, such as cloudcomputing, which enables commerce and communication on a much faster and more streamlinedlevel. Digital platforms with two-sided markets often face fierce competition from market incumbentswhich benefit from traditional supply-side economies of scale, as well as from other digital platforms.Therefore, the competitive strategy adopted at market launch and under operations will have a greatimpact on the platform performance in terms of firm financial performance.This study is divided into two parts and is performed with the objective to gain insight into thecompetitive strategies adopted by digital platform businesses with two-sided markets, and how suchstrategic decisions may be informed in favor of profitability. The first part investigates the influence ofinternal factors, such as debt ratio, quick ratio, sales growth, and capital turnover ratio, on the firmfinancial performance (measured by return on assets) of digital platforms with two-sided markets inthe Nordics. The second part investigates the relationship between the firm financial performance(measured by return on assets) of digital platform businesses with two-sided markets after launch andthe type of strategy adopted. Subsequently, two hypotheses are presented. Subsequently, twohypotheses are presented. A panel data regression model is developed to evaluate these relationships,allowing the authors to test the null hypotheses. The data set used in the panel data regression modelcomprise an unbalanced sample of 27 companies who have launched their platforms in Norway,Sweden, and Denmark. Financial data was gathered in the form of return on assets (dependentvariable), capital turnover ratio, quick ratio, debt ratio, and sales growth (explanatory variables).These companies were grouped depending on which strategy was adopted on market launch and underearly operations. These strategies are subsidy, seeding and marquee users, micro market launch andpiggybacking (categorical ‘dummy’ variables).Studying the firm financial performance of businesses which adopt digital platforms will help us tobetter understand the efficacy of strategies adopted and how these strategies impact financialperformance. Both null hypotheses tested may be partially rejected. The authors conclude that theinternal factors debt ratio, quick ratio, and sales growth have a significant influence on theprofitability (measured by return on assets) of digital platforms with two-sided markets in the Nordics.The influence of the internal factor capital turnover ratio on profitability is statistically insignificant.Quick ratio has a positive significant influence on profitability, whereas debt ratio and sales growthhave a negative influence. The authors also conclude that companies which have business modelsallowing them to adopt a subsidy strategy yields stronger profitability than those which adopt otherstrategies. Companies which entice seed & marquee users to their platform as a strategy yields thesecond strongest profitability. Companies which choose a micro market launch strategy yield theweakest profitability. The authors of this study will not draw conclusions on the efficacy of theadoption of a piggybacking strategy on profitability due to the limited number of observationsattributed to the piggybacking dataset.Future studies may expand upon this research with the inclusion of a wider catchment of businesses,as well as the inclusion of a wider data set to include other geographical locations and improvestatistical significance of the data set. An improvement to the study may also be to analyze thecorrelation between the strength of competitors upon market entry and the efficacy of the strategiesadopted.

Syftet med denna studie är att undersöka och analysera det statistiska signifikanta sambandet mellan kapitalstruktur och lönsamhet för bolag noterade på OMXS Large Cap. Det görs under tidsperioden före samt under Covid-19 och studien använder sig av ett antal variabler för att kunna analysera ett potentiellt samband över en femårsperiod. Uppsatsen undersöker även om det eventuella sambandet ändras av Covid-19 pandemin. Studien har utgått ifrån en kvantitativ metod med en deduktiv ansats. För att ge svar på forskningsfrågan har paneldata regressioner genomförts på 30 bolag noterade på OMXS Large Cap för perioderna 2017-2019 och 2020-2021. Studien kommer fram till att det finns statistiskt signifikanta samband mellan kapitalstruktur och lönsamhet avseende vissa variabler samtidigt som studien finner att det inte finns samband för vissa andra variabler. Resultaten visar på både negativa och neutrala samband och slutsatsen att hög skuldsättningsgrad har en negativ effekt på lönsamhet dras, vilket stämmer överens med tidigare forskning inom ämnet. Sambanden som hittades visade sig ändras mellan perioden innan och under Covid-19 / The purpose of this study is to investigate the statistically significant relationship between capital structure and profitability for companies listed on OMXS Large Cap. This is done in connection with Covid-19 and the study uses a number of variables to analyze a potential relationship over a five-year period. The study  further examines if the possible relationship is affected by Covid-19. The study has been based on a quantitative method with a deductive approach. In order to answer the purpose of the study, the authors have carried out panel data regressions on 30 companies listed on OMXS Large Cap for the periods 2017-2019 and 2020-2021. The study finds that there exists statistically significant relationships between capital structure and profitability for some of the variables, whilst other variables show no significance. The results show both negative and neutral relations and the conclusion that a higher debt ratio has a negative effect on profitability is drawn, showing the same result as previous research. The results also show that the relationships differ from before the pandemic period to under.

台灣早期有關系統風險（β）的研究皆指出β不能解釋台灣股票報酬的變異，故控尋更能解釋股票報酬的風險因素為本文的主要目的之一。 本研究分析民國71年7月至85年5月股票上市公司資料（排除金融、保險、及變更交易方式的公司）。因民國79年股價指數從2月的最高點12,495急遽下滑至10月的2,560，故分析上將79年度予以排除。在71年7月至78年12月的時段中，整體市場因素（RM-RF）不能解釋股票報酬的變異。此點發現與台灣早期研究的結論一致。其他變數顯著者僅有與規模有關的因素（SZSMB），或與負債比率有關的因素（DEHML），其中以 SZSMB的解釋能力最強。在民國80年1月至85年5月的時段中，所有模式中整體市場因素（ RM-RF）的係數皆顯著，並且是所有因素中最顯著者。這點發現與前時段（71年7月至78年12月）的結果有很大的不同。其他的變數顯著者，有代表成長機會的BMHML（與淨值市價比有關的因素）、EPHML（與益本比有關的因素）、或CPHML（與營運現金市價比有關的因素），及代表利率結構有關的風險因素TERM（與利率期間結構有關的風險溢酬）、或DFT（與利率違約風險有關的風險溢酬）。其中以（RM-RF）、EPHML、CPHML及TERM的風險組合最能解釋股票報酬的變異。 應用更完整的股票報酬解釋變數，探討股票報酬與盈餘間的關係，亦為本文主要目的之一。經分析以(1)各時段最能解釋股票報酬的因素組合為基礎，計算異常報酬；(2)單獨的以整體市場因素（RM-RF）為基礎計算異常報酬，然後再分別估出盈餘反應比較係數（ERC）比較之。結果顯示，以各時段最能顯著解釋股票報酬的因素組合為基礎的ERC為正的顯著，且其ERC大於只以整體市場因素（RM-RF）為基礎所算出的ERC。 另外，關於盈餘品質假說之測試，經以公司規模大小為虛擬變數放入迴歸式中，結果顯示，代表大公司的虛擬變數之係數時而為正，時而為負，且都不顯著，故盈餘品質假說未獲得支持。 再者，關於成長機會與ERC關係之測試，經以公司成長機會大小為虛擬變數放迴歸式中，結果顯示，代表成長機會的虛擬變數之系數時而為正，時而為負，且大都不顯著，故成長機會大的公司之ERC大於成長機會小的公司之ERC的假說，未獲得實證的支持。 / Earlier studies (Chen 1990; Chiu 1990; and Wang 1992) found that systematic risk (β) could not explain the variance of stock returns in Taiwan. The findings were inconsistent with the Capital Asset Pricing Model (CAPM). One of the major purposes of this paper is to examine the factors that have higher explanatory power of stock returns. To test the hypotheses, this study uses the data of Taiwanese listed companies covering the period from July 1982 to may 1996. The 1990 data are excluded because the stock market index climbed to a record high of 12,495 in February 1990 and then fell sharply to allow level of 2,560 in October 1990. The "crash" might cause structural changes in stock market, so the analyses are conducted separately for the periods before and after the crash, namely the prior-crash period (from July 1982 to December 1989) and the post-crash period (from January 1991 to May 1996). The empirical results show that for the prior-crash period the overall market factor (market returns minus risk free rate, RM-RF) can not explain the variance of stock returns. The findings are consistent with those of previous studies. However, we find that the factor-related to size (SZSMB) and the factor related to debt/equity ratio (DEHML) have significant association with stock returns. Furthermore, SZSMB has higher explanatory power. In contrast, the overall market factor is the most significant factor for the post-crash period. Other factors that are significant consisted of (1) proxies for growth opportunities, including book-to-market equity (BMHML), earnings/price ratio (EPHML), and cash flow/price ratio (CPHML), and (2) the factors related to interest structure, including term structure (TERM) and default risk (DFT). Among these factors, the set of RM-RF, EPHML, CPHML, and TERM explains the variance of stock returns most. Another purpose of this paper is to use the aforementioned findings to study the relationship between stock returns and earnings. The results show that the earnings response coefficients based on the most explanatory factor portfolio of each period are positive and significant, and are greater than those based on the traditional systematic risk (β). The tests for earnings quality hypothesis indicate that the coefficients of the dummy variable proxies for big companies are insignificant. The earnings quality hypothesis is not supported. The tests regarding the relationship between growth opportunities and earnings response coefficients show that the coefficients of the dummy variable proxies for high growth companies are unstable. The hypothesis that the earnings response coefficients of high growth companies are greater than those of low growth companies is not supported by empirical evidence.