<p>Background:</p><p>Recent business paper articles observe that stocks soar when there is a change in ownership. The clothing company JC climbed 26% when it was announced Torsten Jansson had increased his holdings. Daydream, a computer game developer, followed this trend increasing its market value by 17% on the news that TA Capital had increased its hold-ings. In these examples, the market learned of the changes in ownership through a press release created by the acquiring entity. These pieces of news, also known as ownership disclosures, is the target of this thesis.</p><p>Purpose:</p><p>The purpose of this thesis is to investigate whether ownership disclosures result in abnormal stock price changes. Furthermore, the aim is to find out if there are any differ-ences in returns depending on who announced the ownership disclosure. In order to fulfil this purpose, a quantitative approach was used.</p><p>Method:</p><p>A random sample of 160 ownership disclosures is gathered. 77 of these are classified as passive- and 83 as active investors. For each of these pieces of news, 183 days of historical stock price data is retrieved. This data is then parsed through the market model event-study framework.</p><p>Findings:</p><p>Graphically analyzing the whole sample indicates that the market is not efficient in its strong form. The same is true when dividing the sample into passive- and active investors. Statistically, an abnormal return is confirmed for the active investors, but not for the whole sample or the passive investors.</p><p>Conclusion:</p><p>By looking at the price change effects of ownership disclosures, the Stockholm Stock Exchange O-list is determined to be efficient at the semi-strong level. The anomaly caused by active investors leads to the possibility of making a profit of 2.70% between day -1 and day +1 relative to the day of the ownership disclosure being sent out. It should be noted, though, that transaction costs and taxes are not taken into consideration.</p>

Syfte: Syftet med denna uppsats är att undersöka hur utvalda bolags aktieavkastning inom branscherna flyg, fordon samt olja reagerar vid signifikanta oljeprisförändringar. Teoretiskt perspektiv: Den teoretiska referensramen utgörs av den effektiva marknadshypotesen samt Behavioural Finance med undergrenarna prospect theory, herd behaviour och overconfidence. Metod: Studien utgår ifrån ett deduktivt inslag med en kvantitativ studie. Undersökningen utgörs av sex eventstudier som datainsamlingsmetod samt en intervju som applikation på det kvantitativa resultatet. Urvalskriterium består av tio bolag inom respektive bransch med en rangordning utefter högst omsättning samt företag med en koppling till svenskt näringsliv med högst omsättning. Empiri: Empirin presenteras utifrån diagram och tabeller över de utförda eventstudierna. Diagrammen syftar till att redovisa den avvikande avkastningen för respektive bolag. Tabellerna ger en redogörelse över eventuellt samband mellan respektive bransch och oljeprisförändringarna. Slutsats: Flygbolagen uppvisade samband med oljepriset vid fyra utav sex eventen. Fordonsbranschen uppvisade samband vid ett av de sex eventen och oljebranschen vid två utav de studerade eventen. Reaktionen på aktieavkastningen för bolagen med en koppling till svenskt näringsliv var i linje med de övriga internationella bolagen i branschen. Undantag visades för oljebranschen. Resultatet är en indikation på att andra variabler påverkade aktieavkastningen och detta skapar svårigheter för aktieinnehavare att förespå framtida avkastning.

The question many investors ask is whether or not it is possible to beat the market andearn money by being active on the stock market. In efficient markets this should not be possible, but several researches have come up with strategies that prove the opposite. There are certain market movements that cannot be explained by the arguments of the traditional efficient market hypothesis and such market movements are in the standard finance theory called anomalies. Two well-known anomalies are the P/E effect and the small firm effect. The P/E effect means that portfolios with low P/E stocks attain higher average risk-adjusted returns than portfolios with high P/E stocks. Similarly, the small firm effect means that companies with small market capitalization earn higher return than those with large market capitalization. Even though these anomalies were discovered in the US, they occur on other markets as well. However, most of the studies regarding these have focused on developed markets. Therefore, the focus in this study has been on emerging markets, more specifically the Baltic market. The problem we aimed to answer with this study is whether or not it is possible to attain abnormal returns on the Baltic stock market by using the P/E effect or the small firm effect. Further on, we found it interesting to investigate which one of the two anomalies that is the best investment strategy. By doing this, we have also been able examine if the Baltic market is efficient or not. The study investigates all listed firms (both active and dead) with available data on Nasdaq OMX Baltic between the years 2000-2014. There are two different samples, a P/E sample and a market capitalization sample. The firms in the samples are ranked and grouped into portfolios and then tested to see if there is significant evidence of the existence of the P/E effect and the small firm effect. The results of the tests show that the Baltic market is not completely efficient, since statistical support was found for the small firm effect. This implies that it is possible to attain abnormal returns on the Baltic market by investing in small capitalization stocks. However, the tests showed no significant evidence of the P/E effect. For this reason, with the assumptions made, we recommend the small firm effect as an investment strategy on the Baltic stock market.

Research Questions: • Will a portfolio based on value stocks, on a risk-adjusted basis, outperform a portfolio based on growth stocks on the Stockholm Stock Exchange? • Is the superior strategy able to generate abnormal risk adjusted returns by beating the OMXS in-dex? Purpose: The purpose is to investigate if an investor by purchasing a portfolio based on value stocks will outperform a portfolio based on growth stocks. Furthermore the authors aim to examine if the superior portfolio can beat the OMXS index and create abnormal returns on the Stockholm Stock Exchange. Method: The quantitative research method is used when gathering information. To deter-mine which stocks to include each year between 1993 to 2005 the price-to-book ratio (P/B) is used. Based on this multiple the sample is divided into two extreme groups of low and high P/B companies. These two groups are further divided according to their price-to-earning ratios (P/E). This creates four portfolios, which symbolizes value and growth stocks. Each portfolio’s return is recorded annually during the 12 year period. The returns are risk-adjusted in order to find the superior portfolio. This portfolio is then compared with the OMXS index for the same period to find out whether it has created an abnormal return. Conclusion: The superior and most extreme value portfolio, consisting of stocks with low P/B and low P/E ratios generated a cumulative risk-adjusted return of 1908% between 1993-2005 and beat the most extreme growth portfolio consisting of high P/Bs and high P/Es which generated a negative cumulative return. The superior portfolio was also able to beat the OMXS index during the years of 1993-2005, generating an abnormal risk-adjusted return of 7.77 times that of the OMXS index. / Frågeställningar: • Kommer en portfölj baserad på värdeaktier, på en riskjusterad basis att slå en portfölj baserad på tillväxtaktier på Stockholmsbörsen? • Kan den vinnande strategin skapa en riskjusterad överavkastning över OMXS index? Syfte: Syftet är att undersöka om en investerare, genom att köpa en portfölj baserad på värdeaktier, kan slå en portfölj baserad på tillväxtaktier. Vidare har författarna som mål att undersöka om den vinnande portföljen kan slå OMXS-index och skapa överavkastning på den svenska aktiemarknaden. Metod: Informationsinsamlingen till uppsatsen har en kvantitativ ansatts som grund. För att avgöra vilka aktier som ska inkluderas i undersökningen mellan åren 1993 till 2005 har författarna använt sig av nyckeltalet aktiekurs över eget kapital (P/B-tal). Med det här nyckeltalet till grund har urvalet delats upp i två extremgrupper, lågt och högt P/B. Dessa två grupper delades upp ytterligare efter dess aktiekurs över vinst (P/E-tal). Detta skapar fyra portföljer som symboliserar värde- och tillväxtaktier. Avkastning på portföljerna mäts årli-gen under 12 år och sedan riskjusteras för att hitta den mest lönsamma portföljen. Denna portfölj jämförs sedan med OMXS-index för samma period för att se om portföljen har skapat överavkastning. Slutsats: Den bästa och mest extrema värdeaktieportföljen som bestod av lågt P/B och lågt P/E skapade en kumulativ riskjusterad avkastning på 1908% och slog den mest extrema tillväxtportföljen som genererade en negativ kumulativ avkastning. Den bästa portföljen slog också OMXS-index under åren 1993 till 2005 och skapade en riskjusterad överavkast-ning på 7.77 gånger OMXS.

Background: Recent business paper articles observe that stocks soar when there is a change in ownership. The clothing company JC climbed 26% when it was announced Torsten Jansson had increased his holdings. Daydream, a computer game developer, followed this trend increasing its market value by 17% on the news that TA Capital had increased its hold-ings. In these examples, the market learned of the changes in ownership through a press release created by the acquiring entity. These pieces of news, also known as ownership disclosures, is the target of this thesis. Purpose: The purpose of this thesis is to investigate whether ownership disclosures result in abnormal stock price changes. Furthermore, the aim is to find out if there are any differ-ences in returns depending on who announced the ownership disclosure. In order to fulfil this purpose, a quantitative approach was used. Method: A random sample of 160 ownership disclosures is gathered. 77 of these are classified as passive- and 83 as active investors. For each of these pieces of news, 183 days of historical stock price data is retrieved. This data is then parsed through the market model event-study framework. Findings: Graphically analyzing the whole sample indicates that the market is not efficient in its strong form. The same is true when dividing the sample into passive- and active investors. Statistically, an abnormal return is confirmed for the active investors, but not for the whole sample or the passive investors. Conclusion: By looking at the price change effects of ownership disclosures, the Stockholm Stock Exchange O-list is determined to be efficient at the semi-strong level. The anomaly caused by active investors leads to the possibility of making a profit of 2.70% between day -1 and day +1 relative to the day of the ownership disclosure being sent out. It should be noted, though, that transaction costs and taxes are not taken into consideration.

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Lietuvos akcijų rinkos pasiūlos ir paklausos srautų analizei buvo pasirinktos 9 akcijos. Jas, pagal įvykusių sandorių skaičių ir vertę, galima suskirstyti į tris grupes: nelikvidžios, pusiau likvidžios ir likvidžios akcijos. Šių akcijų, viešai skelbiami rinkos gylio ir įvykusių sandorių, duomenys buvo imami iš Vilniaus vertybinių popierių biržos internetinio puslapio http://www.baltic.omxgroup.com/ nuo 2008 02 25 iki 2008 04 18. Darbe buvo skaičiuojami paprastas (inside bid-ask spread), efektyvus (effective spread) ir užfiksuotas kainų skirtumai. Roll matas skaičiuojamas remiantis akcijų įvykusių sandorių kainomis, kurių skirtumų stacionarumas ištirtas RA-kriterijumi (reverse arrangement test). Kaip ir buvo galima tikėtis, parodyta, kad pasirinktų akcijų rinka yra neefektyvi. Dėl šios priežasties, kiekvienai akcijai apskaičiuotas Roll matas yra labai grubus. Naudojant C++ programavimo kalbą, buvo sukurta programinė įranga: • Duomenų skaitymui iš interneto; • Duomenų bazės kūrimui, apdorojimui ir redagavimui; • Duomenų analizei. / Nine types of stock were chosen to analyse quoted bid-ask spread of Vilnius Stock Exchange. According to the value and number of transactions of the stock, it can be divided into three groups: non-liquid, half-liquid and liquid stock. Public market depth information and data of trade was taken from Vilnius Stock Exchange website http://www.baltic.omxgroup.com/ during the period from 25th February 2008 to 18th April 2008. In my work I have analysed inside bid-ask spread, effective spread and fixed prices. Roll measure was measured using trade prices of stock; stationarity of differences of trade prices were examined using reverse arrangement test. As had been expected, I came to conclusion that the stock market for chosen stocks is informationally inefficient. Due to this reason the Roll measure is not correct. By using C++ programming language the following programming tools were created: • Data reading from internet tool; • Data collection and correction tool; • Data analysis tool.

Market Timing Strategy is an active investment strategy, which is based on the signals of indicators, for the investors to make their investment decisions. However, there has always been the question on which variable is a good indicator, that would provide superior returns for the investment. Bond to Equity Yield Ratio (BEYR) is a new indicator widely researched by many academics in the field of finance and extensively applied by practitioners of the financial markets during the last two decades. Efficient Market Hypothesis (EMH) is a theory in finance which states that stock prices are always reflected with the relevant information and beating the market from predicting the trend of future stock prices is not possible. Therefore, if the market is in accordance with EMH, market timing strategy is not useful and passive investment strategy is better than active investment strategy. Although extant literatures have proved BEYR as a good indicator to be used in market timing strategy, the focus of the existing research is on the financial markets in the United States, the United Kingdom, and the Europe; the study on Asian financial markets is very limited. The main objective of the research is mainly motivated by this knowledge gap. This study will use extreme value strategy as an active trading strategy to conduct research on the market timing ability of BEYR in three Asian financial markets: Japan, Malaysia and Singapore. In addition, passive trading strategy will be used to compare with active trading strategy in each country to identify whether the markets comply with weak form of EMH. Deductive approach of quantitative research is conducted and three main hypotheses are developed to achieve the research objective. The empirical findings from our research and the responses to the main hypotheses can be summarized as active trading strategy does perform better than passive trading strategy for all countries and the market timing ability of BEYR is not as good as the traditional indicators: dividend yields and earning yields for all countries. Therefore, the financial markets of all counties under scrutiny do not comply with weak form of EMH. However, it is worthy to take note that the sample period chosen for this research includes the period when the Global Financial Crisis occurred in 2008. Therefore, it is assumed that the impact of the financial crisis is the main reason contributing the difference between the findings from our research and the existing literatures. Moreover, the difference in the nature of financial market can be considered as another underlying factor for the new perspective on BEYR resulting from our empirical results.

The modelling of volatility has long been seminal to finance and risk management in general, as it provides information on the spread of portfolio returns. In order to reduce the overall volatility of a stock portfolio, modern portfolio theory (MPT), within an efficient market hypothesis (EMH) framework, dictates that a well-diversified portfolio should have a market beta of one (thereafter adjusted for risk preference), and thus move in sync with a benchmark market portfolio. Such a stock portfolio is highly correlated with the market, and considered to be entirely hedged against unsystematic risk. However, the risks within and between stocks present in a portfolio still impact on each other. In particular, risk present in a particular stock may spill over and affect the risk profile of another stock included within a portfolio - a phenomenon known as volatility spill-over effects. In developing economies such as South Africa, portfolio managers are limited in their choices of stocks. This increases the difficulty of fully diversifying a stock portfolio given the volatility spill-over effects that may be present between stocks listed on the same exchange. In addition, stock portfolios are not static, and therefore require constant rebalancing according to the mandate of the managing fund. The process of constant rebalancing of a stock portfolio (for instance, to follow the market) becomes more complex and difficult during times of financial distress. Considering all these conditions, portfolio managers need all the relevant information (more than MPT would provide) available to them in order to select and rebalance a portfolio of stocks that are as mean-variance efficient as possible. This study provides an additional measure to market beta in order to construct a more efficient portfolio. The additional measure analyse the volatility spill-over effects between stocks within the same portfolio. Using intraday stock returns and a residual based test (aggregate shock [AS] model), volatility spill-over effects are estimated between stocks. It is shown that when a particular stock attracts fewer spill-over effects from the other stocks in the portfolio, the overall portfolio volatility would decrease as well. In most cases market beta showcased similar results; this change is however not linear in the case of market beta. Therefore, in order to construct a more efficient portfolio, one requires both a portfolio that has a unit correlation with the market, but also includes stocks with the least amount of volatility spill-over effects among each other. / MCom (Risk Management), North-West University, Potchefstroom Campus, 2013

The modelling of volatility has long been seminal to finance and risk management in general, as it provides information on the spread of portfolio returns. In order to reduce the overall volatility of a stock portfolio, modern portfolio theory (MPT), within an efficient market hypothesis (EMH) framework, dictates that a well-diversified portfolio should have a market beta of one (thereafter adjusted for risk preference), and thus move in sync with a benchmark market portfolio. Such a stock portfolio is highly correlated with the market, and considered to be entirely hedged against unsystematic risk. However, the risks within and between stocks present in a portfolio still impact on each other. In particular, risk present in a particular stock may spill over and affect the risk profile of another stock included within a portfolio - a phenomenon known as volatility spill-over effects. In developing economies such as South Africa, portfolio managers are limited in their choices of stocks. This increases the difficulty of fully diversifying a stock portfolio given the volatility spill-over effects that may be present between stocks listed on the same exchange. In addition, stock portfolios are not static, and therefore require constant rebalancing according to the mandate of the managing fund. The process of constant rebalancing of a stock portfolio (for instance, to follow the market) becomes more complex and difficult during times of financial distress. Considering all these conditions, portfolio managers need all the relevant information (more than MPT would provide) available to them in order to select and rebalance a portfolio of stocks that are as mean-variance efficient as possible. This study provides an additional measure to market beta in order to construct a more efficient portfolio. The additional measure analyse the volatility spill-over effects between stocks within the same portfolio. Using intraday stock returns and a residual based test (aggregate shock [AS] model), volatility spill-over effects are estimated between stocks. It is shown that when a particular stock attracts fewer spill-over effects from the other stocks in the portfolio, the overall portfolio volatility would decrease as well. In most cases market beta showcased similar results; this change is however not linear in the case of market beta. Therefore, in order to construct a more efficient portfolio, one requires both a portfolio that has a unit correlation with the market, but also includes stocks with the least amount of volatility spill-over effects among each other. / MCom (Risk Management), North-West University, Potchefstroom Campus, 2013