Purpose: The purpose of this thesis is to investigate if abnormal patterns concerning the rates of return during specific weekdays and months are observable for the companies in the OMXS30 during the period 2003-2010. A special focus will be put on the Monday effect anomaly. Background: Investors have a tendency to search for investment opportunities. If errors exist in the pricing of stocks it indicates that anomalies are present and that the stock market is inefficient. Investors then have the possibility to utilize the anomalies in order to receive above average returns. Method: This study is using data of stock prices from Nasdaq OMX in the period of 2003-2010. The strength and existence of the Swedish stock market efficiency is measured through autocorrelation-, chi-square- and regression tests. Average monthly stock returns are calculated on daily-, monthly-, and yearly basis. The returns are compared in order to examine if day-of-the-week and turn-of-the-year anomalies exist. Conclusion: No Monday effect is found in 2003-2010. However, positive Thursday- and positive Friday effects are detected. A negative turn-of-the-year effect as well as a positive April effect is found. The investment opportunities that could be utilized in 2003-2010 due to the specific anomalies in the period do not necessarily imply that the same anomalies can be expected on the OMXS30 in the future.

<p><strong>Purpose: </strong>The purpose of this thesis is to investigate if abnormal patterns concerning the rates of return during specific weekdays and months are observable for the companies in the OMXS30 during the period 2003-2010. A special focus will be put on the Monday effect anomaly.</p><p><strong>Background: </strong>Investors have a tendency to search for investment opportunities. If errors exist in the pricing of stocks it indicates that anomalies are present and that the stock market is inefficient. Investors then have the possibility to utilize the anomalies in order to receive above average returns.<strong> </strong></p><p><strong>Method: </strong>This study is using data of stock prices from Nasdaq OMX in the period of 2003-2010. The strength and existence of the Swedish stock market efficiency is measured through autocorrelation-, chi-square- and regression tests.<strong> </strong>Average monthly stock returns are calculated on daily-, monthly-, and yearly basis. The returns are compared in order to examine if day-of-the-week and turn-of-the-year anomalies exist.</p><p><strong>Conclusion: </strong>No Monday effect is found in 2003-2010. However, positive Thursday- and positive Friday effects are detected. A negative turn-of-the-year effect as well as a positive April effect is found. The investment opportunities that could be utilized in 2003-2010 due to the specific anomalies in the period do not necessarily imply that the same anomalies can be expected on the OMXS30 in the future.</p>

The first part of thesis describes the Efficient Market Theory, its characteristics and forms. Another theoretical approach are Behavioral Finances that can also explain the stock market price making. The main topic is Financial Market Anomalies that defy the Efficient Market Theory. Anomalies state that an investor is able to achieve above average profits in the long term regularly. The thesis is focused on two anomalies selected for further testing on the data of companies traded on German exchange Xetra. Data was obtained from Yahoo Finance and processed for statistical tests. Anomalies occurrence was scarce, therefore it cannot be said that an investor is able to achieve above average profits in the long term regularly.

Sammanfattning Titel: Imorgon blir det börsfall! En studie om hur olika börser påverkar varandra i fördröjning. Seminariedatum: 28 maj, 2012 Ämne/kurs: FEK 61-90 Kandidatuppsats i Corporate Finance, 15 poäng  Författare: Stefan Koch, Malin Molin Handledare: Hans Mörner Examinator: Kent Sahlgren Nyckelord: Anomali, anomalier, veckodagseffekt, måndagseffekt, index, korrelation, S&amp;P 500, OMXS 30, effektiva marknadshypotesen Syfte: Att undersöka ifall en eventuell anomali på det svenska OMXS 30 indexet eller det amerikanska S&amp;P 500 ger en effekt på nästföljande dag på det motsatta indexet. Om en veckodagseffekt kan påvisas och den fördröjda korrelationen mellan indexen är tillräckligt stark kan metoden användas för att generera överavkastning.   Metod: Vi använder oss av en kvantitativ ansats för att med hjälp av statistiska metoder svara på vår problemformulering. De metoder vi har använt är hypotestestning av medelvärden med ett z test, beräknat korrelationskoefficienten mellan de två indexen och utfört en multipel regressionsanalys med dummyvariabler. Slutsats: Genom vår analys kom vi fram till att en veckodagseffekt inte kan påvisas på någon av de två undersökta indexen. En korrelation kunde finnas mellan de två indexen, däremot går det att ifrågasätta om korrelationens styrka är tillräckligt stark att handla utifrån. För att generera överavkastning krävs dessutom att den extra avkastning som genereras med hjälp utav vår metod med korta aktieaffärer överstiger den eventuella transaktionskostnaden som uppstår vid aktiehandel, något vi starkt betvivlar att den gör. / Abstract Title: Tomorrow the market falls! A study about how different stock markets affect each other in delay. Date of seminar: May, 28th, 2012 Course: FEK 61-90 Bachelor Thesis in Corporate Finance, 15 credits Authors: Stefan Koch, Malin Molin Advisor: Hans Mörner Examiner: Kent Sahlgren Key words: Anomaly, anomalies, day-of-the-week effect, weekend effect, index, correlation, S&amp;P 500, OMXS 30, effective market hypothesis Objective: To examine whether a potential anomaly on the Swedish OMXS 30 index or the American S&amp;P 500 has an effect on the next day on the opposite index. If a day-of-the-week effect can be proved and the delayed correlation between the indices is strong enough, our method could be used to generate excess returns. Methodology: We use a quantitative approach and statistic methods to answer our problem formulation. The methods we have been using are hypothesis testing of mean values with a z-test, calculations of correlation coefficients between the indices, and a multiple regression analysis with dummy variables. Conclusions: Through our analysis we found out that there was no day-of-the-week effect on any of the two examined indices. We could find a correlation between the two indices; however, we question whether the correlation is strong enough to trade on. To get excess returns it is required that the extra return that would be generated through our method with short trades exceed eventual transaction costs that occur through stock trading, something we strongly doubt that it would.

In my diploma I analyzed the USA capital market. I concentrated on 5 representative branches of this market - the biotechnology, the food industry, the car industry, the mining and the finances. 12 companies, which quote their share of stocks in the american capital market, were choosed. I tested the efficiency of this capital market and tried to establish the rate of this market´s efficiency. Later the best strategy was added to the rate of capital market´s efficiency. I counted the average decree, the standard deviation, the variation coefficient, the {$\alpha$} coefficient and {$\beta$} coefficient at the choosed share of stocks. I accomplished the correlative and the runs testing, which were supposed to certify the efficiency of market. The certain anomalies as The Day of the Week Effect, The January Effect and The Size Effect were investigated in more detail. Further I was considering if either the active or the passive strategy should have been used. I concluded that the active strategy is better for investors in times of the financial crisis. I also analyzed P/E ratio at choosed companies. The performated testing shows that the american market of shares is effective, it has the form of low efficiency peak-form efficient markets hypothesis.