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.

因有眾多實證研究支持若隨持有期不同，而能適時調整投資策略，便可獲取超額報酬，且月營收資訊具有相當程度的資訊內涵。因此，本研究延伸傳統動能策略的概念，而改以三種當月營收成長率做為篩選投資組合的條件，進而形成營收動能策略(sales momentum strategy)，研究主要目的為欲確認此策略於台灣股市之有效性，並同時印證『強者恆強』與『漲時重勢、跌時重質』觀念是否適用。再者，亦提供利用市場公開訊息建構投資組合之選擇，以協助彌補一般投資者無法與專業機構法人同步取得領先資訊之劣勢，進而改善投資績效。 本研究投資組合建構之方式為，於每月11日，上市公司月營收全數公布，並可自TEJ資料庫取得完整資料時，依照當月營收月增率、當月營收年增率及當月累計營收年增率等三項篩選條件，分別將所有上市公司進行排序，排序方式則區分為十等分(10%)及五等分(20%)兩種。其中，成長率排名前10%或20%的群體稱為贏家組合，排名後10%或20%的群體則稱為輸家組合。當贏、輸家組合篩選完成後，買入贏家組合，同時賣出輸家組合，即可產生一零成本營收動能策略投資組合。 綜合本研究各項實證分析的結果推斷，營收動能策略於台灣股市確實具有其效果，亦即台灣股市的投資人對於營收成長率訊息普遍存在反應不足現象，且印證營收宣告存在資訊內涵，惟各種投資組合績效將因篩選條件與持有期不同而產生差異。其中，尤以當月營收年增率為篩選條件，所建構之營收動能策略投資組合可獲得最佳的績效表現，且獲利並非來自於承擔市場系統性風險。此外，營收動能策略投資組合之元月效應並不明顯，而『強者恆強』與『漲時重勢、跌時重質』的觀念，則的確存在一定的參考價值。

This Study uses a period between 1939-2017 to analyse calendar anomalies on the Swedish equity market. We test whether calendar anomalies’ return deviates from the return of ordinary trading days. Our result shows that the day of the week effect, weekend effect, turn of the year, turn of the month and holiday effect have had an impact on the daily rate of return, both domestic and abroad. Similar to international markets the calendar anomalies in Sweden start to be less prominent during 1980’s. Also, our result displays that, since the 1970’s, UK holidays have had a negative impact on the daily return in Sweden. In contrast, American holidays have since the 2010’s had a positive impact. Turn of the year and turn of the month in Sweden have been more clustered around the first trading day of the year and month, compared to studies on other equity markets. Negative returns on Tuesdays, rather than Mondays, do also distinguish Sweden’s equity market relative to other markets.

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.

This study has applied a geographical perspective with the ambition of evaluating the presence of the Sell in May effect, January effect and monthly anomalies in the Nordic stock markets. In extension the study examines the relationship between corporate size and the returns of calendar anomalies. The study has conducted statistical tests based on Newey-West regressions as well as a Generalized Auto-Regressive Conditional Heteroscedasticity model. The findings suggest that the Sell in May and January are present in the Nordic region and partially abide by theory and results of previous research. The findings suggest that the Sell in May and January effect are independent, however, tendencies when the January effect has a considerable influence on the Sell in May effect are also evident. Additionally, the “April Effect” is an unexpected outlier with positive excess returns that was identified through this study.