This paper attempts to assess the impact of price fluctuations in oil resulting from worldwide oil supply shocks on the real returns of the U.S. stock market, specifically the S&P 500, during the period of 1986 to 2011. While much past research has found an inverse relationship to exist between simply oil price increases and stock market returns, not many studies have been conducted that focus on the effects of shifts in oil supply. The model utilized, a variation of that used by Hamilton (2008), determines that changes in oil prices arising from oil supply shocks one quarter prior (t-1) and one year prior (t-4) have an effect on real stock returns. However, an F-test assessing the joint impact of the explanatory variables is unable to reject the null hypothesis that the joint effects of changes in oil prices arising from supply shocks have zero effect on the returns of the stock market.

Purpose: The purpose of this study is to explain which factors that affects Swedish listed companies choice of placement for the corporate governance report when the regulation gives different options. Methodology: The chosen research philosophy is positive, research strategy is deductive and methodology is quantitative. Theoretical Perspectives: As support for the dependent (placement) and independent factors agency theory, positive accounting theory, accounting choice, legitimacy-, stakeholder-, and institutional theory are used.                  Empirical foundation:The sample consists of 249 companies. The empirical data consists of the companies Annual reports and Corporate Governance reports for financial year 2011 or when split financial year, 2010/2011. Limitations: A limitation of the study is that it is based on observations from only one year why it is not certain that the results should have been the same if a comparison between several years had been done. Conclusions: The factors size and growth explain the placement of the Corporate Governance Report in Swedish listed companies. / Syfte: Syftet med studien är att förklara vilka faktorer som påverkar svenska noterade bolag val av placering av bolagsstyrningsrapporten när lagen ger olika alternativ. Metod: Vald forskningsfilosofi är positivistisk, forskningsstrategin är deduktiv och insamlingsmetoden är kvantitativ. Teoretiskt perspektiv: Som stöd för den beroende (placering) och oberoende faktorerna används agentteorin, Positive Accounting Theory, Accounting choice, legitimitets-, intressent-, och institutionellteori. Empiri: Urvalet består av 249 bolag. Empirin består av bolagens årsredovisningar och bolagsstyrningsrapporter för räkenskapsår 2011 eller vid brutet räkenskapsår 2010/2011. Begränsningar: En begränsning i studien är att den bygger på observationer från ett verksamhetsår varför det inte är säkert att resultatet blivit detsamma om en jämförelse mellan flera verksamhetsår hade gjorts. Slutsats: Faktorerna storlek och tillväxt förklarar placeringen utav bolagsstyrningsrapporten i svenska noterade bolag.  Bidrag: Utrett möjliga faktorer som kan förklara placeringen utav bolagsstyrningsrapporten för svenska noterade bolag.

本研究利用479個全球指標對台指期建立預測模型。該模型可以預測台指期在未來K天的漲跌走勢。我們使用了兩種演算法（支持向量機和決策樹）以及兩種取樣方式（交叉驗證和移動視窗）進行預測。在交叉驗證的建模過程中，決策樹展現了較高的預測力，最高準確度達到了93.4%。在移動視窗的建模過程中，支持向量機表現較好，達到了79.97%的預測准確度。於此同時，不管是哪一種條件設定都表明當我們預測的週期拉長時，預測的效果相對較好。這說明全球市場對台灣市場的影響很大，但是需要一定的市場反應時間。該研究結果對投資人有一定的參考作用。在未來方向裡，可以嘗試使用改進的決策樹演算法，也可以結合回歸預測進行深入研究。 / In this research, we build a stock price direction forecasting model with Taiwan Stock Index Future (TXF). The input data we used is 479 global indices. The classification algorithms we used are SVM and Decision Tree. This model can predict the up and down trend in the next k days. In the model building process, both cross validation and moving window are taking into account. As for the time period, both short term prediction (i.e. 1 day) and long term prediction (i.e. 100 days) are tested for comparison. The results showed that cross validation performs best with 93.4% in precision, and moving window reached 79.97% in precision when we use the last 60 days historical data to predict the up and down trend in the next 20 days. The results imply Taiwan stock market is significantly influenced by the global market in the long run. This finding could be further used by investors and also be studied with regression algorithms as a combination model to enhance its performance.

FDA decisions and late-stage clinical trial results regarding new pharmaceutical approvals can cause extreme moves in the share price of small biopharmaceutical companies. Throughout the clinical trial process, many potential investors are exposed to market-moving information before such information is made available to the investing public. An investor who wished to profit from advance knowledge about clinical trial results may use the publicly traded options markets in order to increase leverage and maximize profits. This research examined options data surrounding the public release of information pertaining to the efficacy of clinical trials and approval decisions made by the FDA. Events were identified for small pharmaceutical companies with fewer than three currently approved drugs in an attempt to isolate the effect of individual clinical trial and FDA-related events on the share price of the underlying company. Option data were analyzed using logistic regression models in an attempt to predict phase II and III clinical trial outcome results and FDA new drug approval decisions. Implied volatility, open interest, and option contract delta values were the primary independent variables used to predict positive or negative event outcomes. The dichotomized version of a predictor variable designed to estimate total investment exposure incorporating open interest, option contract delta values, and the underlying stock price was a significant predictor of negative pharmaceutical related events. However, none of ii the variables examined in this research were significant predictors of positive drug research related events. The estimated total investment exposure variable used in this research can be applied to the prediction of future clinical trial and FDA decision related events when this predictor variable shows a negative signal. Additional research would help confirm this finding by increasing the sample size of events that potentially follow the same pattern as those examined in this research. / text

Every tenth year a financial crisis tend to interfere with an economy. Price bubbles with an accompanying market plunge are therefore not a new phenomenon. Such market disruptions have been causing problems for centuries, as history has a tendency to repeat itself. The intention with this study is to learn more about the bubble phenomenon and increase the knowledge in this area in order to, if possible, prevent such a thing from happening again. The purpose of the essay is to identify factors that significantly affected the development of the so called IT-bubble in Sweden and Finland during the years of 1995-2000. The previous purpose can be divided into two sub-purposes, namely; to point out which financial theory/theories that succeeds the best to explain the development of the IT-bubble, and additionally; to detect factors that can help us foreseeing similar scenarios in the future. The study concentrates on Sweden and Finland. Furthermore, only stock market bubbles are studied. As a consequence, other types of financial crises, for example bank crises, are excluded from this study. The method used to answer the first sub-purpose is an analysis of financial theories which enables us to find factors that according to theory could have caused the rise of the price bubble. In order to answer the second sub-purpose we take use of a statistical method. We have designed a statistical model based on the results of previous mentioned analysis. In this model we try the relevance of the detected factors from the theoretical analysis in order to investigate if theory manages to explain the birth of a stock market bubble. The result of our study has generated four different factors; macro economic; institutional; psychological and asymmetric information. These four categories showed importance for the development of the IT-bubble in Sweden and Finland. Out of the four factors, the psychological factor is said to be the most important, but in the mean time the hardest one to predict. The statistical model indicates that the number of bankruptcies, the total amount of household’s borrowing and results from attitude surveys in the case of Sweden, and the number of bankruptcies, new registrations of cars and finally consumers attitude towards making a big purchase at present, in the case of Finland are variables to be aware of when looking out for a stock market bubble. The statistical model, as pointed out in the study, is not perfect. Additional studies are necessary to confirm the results presented in this report. / Finansiella kriser tenderar att drabba ekonomin med ungefär tio års intervaller. Prisbubblor med tillhörande djupdykning på marknaden är således inget nytt fenomen. Denna störning i marknadsharmonin har funnits under flertalet sekler och historien har en benägenhet att upprepa sig. Bakgrunden till studien är således att öka förståelsen för bubbelfenomenet och att, om det är möjligt, förhindra att det händer igen. Syftet med studien är att påvisa faktorer som har haft signifikant betydelse för den så kallade IT-bubblans utveckling i Sverige och Finland under åren 1995-2000. Det övergripande syftet kan vidare indelas i två delsyften, vars mål dels är att påvisa vilken eller vilka finansiella teorier som bäst förklarar IT-bubblans utveckling, dels hitta faktorer som kan hjälpa oss att förutse likartade scenarier i framtiden. Studien fokuserar på länderna Sverige och Finland, och avgränsar sig därmed från övriga länder. Vidare studeras enbart börsbubblor och fall, varför övriga typer av finansiella kriser, så som exempelvis bankkriser utesluts. Metoden för att besvara det första delsyftet är att göra en analys av finansiella teorier för att lyfta fram faktorer som enligt dem kan ha haft avgörande betydelse för bubblans uppbyggnad. Metoden för det andra delsyftet är att bygga en statistisk modell med hjälp av de faktorer som resulterat av ovan nämnda analys, för att pröva deras relevans. Resultatet av vår studie har genererat en grupp bestående av fyra olika faktorer; makroekonomiska, institutionella, psykologiska faktorer och asymmetrisk information som bäst förklarar IT-bubblans uppkomst. Av dessa är den psykologiska faktorn den viktigaste, och samtidigt också den svåraste att förutsäga. Det är framförallt teorierna inom ”behavioural finance” som fokuserar på psykologiska effekter, varför de bäst förklarar händelseförloppet under IT-bubblan. Den statistiska modellen indikerar att antalet konkurser, hushållens totala utlåning och resultatet av samhällsekonomiska attitydundersökningar i fallet Sverige, samt antalet konkurser, nyregistrering av bilar, och slutligen konsumenternas attityd till stora köp och till att ta lån för tillfället, i fallet Finland, är variabler som vi kan vara uppmärksamma på för att försöka förutse börsbubblor. Den statistiska modellen är, som poängteras i arbetet, inte fulländad utan ytterligare studier fordras för att belägga detta ytterligare.

Finansiella kriser tenderar att drabba ekonomin med ungefär tio års intervaller. Prisbubblor med tillhörande djupdykning på marknaden är således inget nytt fenomen. Denna störning i marknadsharmonin har funnits under flertalet sekler och historien har en benägenhet att upprepa sig. Bakgrunden till studien är således att öka förståelsen för bubbelfenomenet och att, om det är möjligt, förhindra att det händer igen. Syftet med studien är att påvisa faktorer som har haft signifikant betydelse för den så kallade IT-bubblans utveckling i Sverige och Finland under åren 1995-2000. Det övergripande syftet kan vidare indelas i två delsyften, vars mål dels är att påvisa vilken eller vilka finansiella teorier som bäst förklarar IT-bubblans utveckling, dels hitta faktorer som kan hjälpa oss att förutse likartade scenarier i framtiden. Studien fokuserar på länderna Sverige och Finland, och avgränsar sig därmed från övriga länder. Vidare studeras enbart börsbubblor och fall, varför övriga typer av finansiella kriser, så som exempelvis bankkriser utesluts. Metoden för att besvara det första delsyftet är att göra en analys av finansiella teorier för att lyfta fram faktorer som enligt dem kan ha haft avgörande betydelse för bubblans uppbyggnad. Metoden för det andra delsyftet är att bygga en statistisk modell med hjälp av de faktorer som resulterat av ovan nämnda analys, för att pröva deras relevans. Resultatet av vår studie har genererat en grupp bestående av fyra olika faktorer; makroekonomiska, institutionella, psykologiska faktorer och asymmetrisk information som bäst förklarar IT-bubblans uppkomst. Av dessa är den psykologiska faktorn den viktigaste, och samtidigt också den svåraste att förutsäga. Det är framförallt teorierna inom ”behavioural finance” som fokuserar på psykologiska effekter, varför de bäst förklarar händelseförloppet under IT-bubblan. Den statistiska modellen indikerar att antalet konkurser, hushållens totala utlåning och resultatet av samhällsekonomiska attitydundersökningar i fallet Sverige, samt antalet konkurser, nyregistrering av bilar, och slutligen konsumenternas attityd till stora köp och till att ta lån för tillfället, i fallet Finland, är variabler som vi kan vara uppmärksamma på för att försöka förutse börsbubblor. Den statistiska modellen är, som poängteras i arbetet, inte fulländad utan ytterligare studier fordras för att belägga detta ytterligare. / Every tenth year a financial crisis tend to interfere with an economy. Price bubbles with an accompanying market plunge are therefore not a new phenomenon. Such market disruptions have been causing problems for centuries, as history has a tendency to repeat itself. The intention with this study is to learn more about the bubble phenomenon and increase the knowledge in this area in order to, if possible, prevent such a thing from happening again. The purpose of the essay is to identify factors that significantly affected the development of the so called IT-bubble in Sweden and Finland during the years of 1995-2000. The previous purpose can be divided into two sub-purposes, namely; to point out which financial theory/theories that succeeds the best to explain the development of the IT-bubble, and additionally; to detect factors that can help us foreseeing similar scenarios in the future. The study concentrates on Sweden and Finland. Furthermore, only stock market bubbles are studied. As a consequence, other types of financial crises, for example bank crises, are excluded from this study. The method used to answer the first sub-purpose is an analysis of financial theories which enables us to find factors that according to theory could have caused the rise of the price bubble. In order to answer the second sub-purpose we take use of a statistical method. We have designed a statistical model based on the results of previous mentioned analysis. In this model we try the relevance of the detected factors from the theoretical analysis in order to investigate if theory manages to explain the birth of a stock market bubble. The result of our study has generated four different factors; macro economic; institutional; psychological and asymmetric information. These four categories showed importance for the development of the IT-bubble in Sweden and Finland. Out of the four factors, the psychological factor is said to be the most important, but in the mean time the hardest one to predict. The statistical model indicates that the number of bankruptcies, the total amount of household’s borrowing and results from attitude surveys in the case of Sweden, and the number of bankruptcies, new registrations of cars and finally consumers attitude towards making a big purchase at present, in the case of Finland are variables to be aware of when looking out for a stock market bubble. The statistical model, as pointed out in the study, is not perfect. Additional studies are necessary to confirm the results presented in this report.

Dividend policy has significant impact on the company's capital market, in particular the dynamics of the price of its shares. Dividends represent cash income of shareholders and to some extent, signal them about success of the firm they have invested. From that point of view dividend policy has crucial impact on investment decisions. Numbers of valuation models based on dividend payouts exist in the financial theory and they imply importance of dividends in making investment decisions. Alternatively some authors argue that role of the dividends is overestimated, as investors do not separate dividends and capital earnings. I believe that dividend policy has broad influence not only on share valuation, but also on capital structure of the company and its stock market liquidity. Study intended to discover if dividend payouts and future earnings can be predicted based on stock market liquidity and capital structure. I have analysed 72 companies associated with Nordic information technologies market and tried to find main characteristics of dividend policy adopted in those companies. I have divided my research question into three parts and studied hypotheses which are associated with the research question. I found relationship of dividend policies with future earnings growth power, firm capital structure and market liquidity. As a result of my study I have observed financial statements data and obtained the following outcome: (1) with stable dividend policy, payout ratio is positively related to the future earnings growth rate (2) companies that have less liquid stock markets are more likely to pay dividends (3) companies with low leverage ratios have more probability of paying dividends. Also I have found that historically low payout ratio is harbinger of low or even negative earnings growth rates. I believe that based on findings mentioned above, effective investment policy could be created. For the investor who favours to invest in company with high earnings growth perspectives and receive high dividends in the future, results of the study could be interesting. According to the results of the research, for “dividend preferring” investor, funds should be invested in the company with constantly high payout ratio, low stock market liquidity and debt-to-equity ratio below 1. In that case the probability of meeting investment expectations would be much higher.

Concluding work in master degree, 72 pages, 7 pictures, 31 tables, 64 literary sources,5 appendixes, Lithuanian language. Research object – investments to the stock in stock market. The subject of research – processes of portfolio formation. Objective of the work – to form stock portfolio consistent with investor’s aims from the point of view of benefit and risk after analysing theoretical aspects of investment to the stock and investment portfolio formation and research of the investment environment in Lithuania. Tasks: 1) to analyse the aims and methods of investment; 2) to investigate stock types, their advantages and disatvantages; 3) to investigate risk types, occurring in process of investment; 4) to analyse the methodology of stock portfolio formation; 5) to explore functioning features of stock market; 6) to perform the research on investment environment in Lithuania; 7) to perform the research of stock portfolio formation in Lithuania. Methods of the research: analysis of literature sources, logical analysis and synthesis, induction and deduction, statistical methods. In a first section of this work theoretical aspects of investment to the stock are presented, in a second section research of investment environment is performed, in a third section of this work, based on the results made in the first and second sections of the work, experimental stock portfolio is formed, analysis and evaluation of expected and actual results... [to full text]

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This dissertation contains four essays on various topics in the fields of corporate finance and corporate governance. The first essay, entitled Corporate Governance and Ownership, presents an overview of the causes and consequences of, and possible remedies for, the separation of ownership and control in corporations. In particular, the essay addresses the costs and benefits of ownership concentration. A specific purpose is to put the role of ownership into perspective, while bringing the reader up to date with some recent developments. Essay number two, Shareholder Gains from Equity Private Placements: Evidence from the Stockholm Stock Exchange, contains an empirical investigation of the stockmarket’s reaction to announcements of equity private placements and rights issues. The essay sets out to test a range of hypotheses put forward in the literature. Extensive cross-sectional analyses of private placement discounts and abnormal returns are performed. The third essay is named Optimal Deterrence and Inducement of Take-overs: An analysis of Poison Pills and Dilution. This essay models how the ex ante wealth of shareholders could be increased with customized contractual provisions that affect takeover probabilities and premia. The proposed provisions resemble anti-takeover defense measures in the form of poison pill plans, and conversely, voluntary dilution schemes in the fashion prescribed by Sanford Grossman and Oliver Hart (1980). Finally, the fourth essay models the wealth effects of a particular takeover regulation, The Mandatory Bid Rule. This rule requires a potential bidder for a control position in a target firm to extend the offer to include any or all of the outstanding shares. Although the mandatory bid rule is aimed at the protection of minority shareholders, the essay argues that this regultion is not generally in the best interest of the shareholders. Each essay is self-contained and could, in principle, be read in any order chosen by the reader. However, for readers less familiar with the corporate finance literature, the first essay may also serve as a helpful introduction to the following three essays. / Diss. Stockholm : Handelshögsk.