This paper examines whether the phenomena of price drift around quarterly earnings re-leases exist among firms listed on the large cap. list at the Stockholm Stock Exchange for a time period ranging from the first quarter of 2003 to the second quarter of 2006. It fur-thermore examines the ability of the variables forecast error, relative to analyst’s estimates, and firms’ size to explain the variation in price drift among firms. A sample of some 30 firms were drawn in the first three quarters of each year between 2003 and 2005, for the year of 2006 only the fist two quarters were included in the study. For each quarter all firms were classified into three different portfolios on the basis of earnings deviations relative to mean analyst’s estimates (forecast error). The returns for each firm in all portfolios were investigated during 20 days post- and pre quarterly earnings release date, resulting in an event window totaling 41 days. In order to clear out effects from general market movements the Capital Asset Pricing Model, CAPM, was used in which betas were estimated for all firms each quarter. The findings from this study indicate that price drift, measured by cumulative abnormal re-turn, occur for firms with both negative forecast error as well as positive. For firms with positive error, statistically significant positive price drift was found for both the pre- and post period. As for the firms with earnings below analyst’s mean estimates, negative prean-nouncement drift was statistically supported. The ability of firms size and forecast error to explain the variation in price drift on a stock level was very weak, R2 measures of below 5% was reported. However, forecast error was a strongly significant independent variable in the context of the regressions run for both pre- and post-announcement drift. The firms below the lower market cap. quartile in the sample show, on average, lower pre-announcement drift than the firms belonging in the largest quartile. Concerning market efficiency among the large cap. firms the price drift found is an indica-tion of market inefficiency both it terms of the semi strong and the strong form. However, care should be taken before generalizing the results from this study but. Possible misspeci-fication of the equilibrium return model will skew the price drift measurement. Moreover, speculation is not explicitly controlled for in this test. Finally, this study is done within a li-mited time span; hence generalization over time is not possible

If you happen to be an American and have trouble sleeping, do not attempt to fall asleep watching the nightly news because it is anything but boring. At a glance, the American economy seems to be in shambles. The United States has an all-time high deficit, the housing market has crashed or is in the process of doing so, capital markets are becoming increasingly volatile and credit institutions in and outside the US are reporting heavy losses. The American presidential elections will take place this November, and there is no question that the economy will be one of the main issues. How has the unstable economic atmosphere affected the financial behavior of households in the United States and where have they received the financial information and advice from? Have the changes that they have made in their personal savings/investments and asset portfolios changed in any way and if so, are these changes based on rational decisions or mere hunches? This paper intends to answer these questions through a qualitative approach by interviewing eight tailor picked households in the United States. We take a constructionist ontological position assuming that social entities have a reality that is constructed by the perception of social actors. Furthermore, we have taken the epistemological Interpretevist stance assuming that we study the world by looking at its social actors. We have utilized a number of theories to aid us through our deductive approach where we collect theory, then collect data, analyze the findings, confirm or reject existing theory, then revisit the existing theory with the new data. The main theories include the Efficient Market Hypothesis, Behavioral Finance, Metacommunication and Dissemination of Information and Animal Spirits including all their subsidiary theories. The interview process involved utilizing an unstructured format and once interviews were collected, they were compiled into summarized form through an emotionalist approach. Conclusions were then drawn by finding common denominators between the interviewees’ sentiments. We found the signs of Keynes’ Animal Spirits, overreaction to information, and amplification of information through private sources. Furthermore, we have been able to find that advice had changed over the past year although we were unable to conclude how it had changed. Finally, a number of findings including people’s risk averse behavior towards volatile stock markets gave us an overall picture of the Efficient Market Hypothesis being less true in this situation than Behavioral Finance.

This research has studied the relationship between insider trading activity and its effect on the level of informational efficiency. The authors have used insider data from Finansinspektionen and data regarding stock prices, market capitalization and GDP from Thomson Reuters Datastream. The sample includes 193 companies on the Swedish stock exchange for a period of 10 years. A Variance Ratio test employed on moving sub-sample windows was used to establish the level of time-varying informational efficiency, which subsequently was used in an OLS-regression as a dependent variable. The result of the regression implies a negative effect on firm price information efficiency by insider purchasing, while selling has a positive effect. This can be concluded using a confidence level of 99%. The results are interesting since they imply an asymmetrical effect of insider trading on informational efficiency, while current insider legislation treats buying and selling by insiders equal. Thus, the results are of interest in future adjustments of laws regulating insider trading.

An inefficient market refers to the fact that a stock price deviate from the true value. Such an market inefficiency is the “January effect”. The “January effect” is the phenomenon were the stock market performs better in January than in any other month. This is a seasonal anomaly which should not exist according to the market efficient hypothesis. The “January effect” is a phenomenon that today cannot be fully understood. Thus, many studies have been made on the “January effect”. The effect have been studied across the world since the 1970s, and Rozeff & Kinney (1976) where the first to conclude a seasonal anomaly where January was the responsible month for abnormal returns. Further studies, such as the study by Keim (1983), concludes that the “January effect” is largely a small firm phenomenon. There are several indicators that are said to be the reason for the “January effect”, such as the tax-loss selling hypothesis tested by Reinganum (1983), none of the findings have however been fully supported. Claesson (1987) conducted a study of the “January effect” on the Swedish Stock market in 1987. Her findings was in accordance with other findings across the world, thus the “January effect” did exist in Sweden during 1980s. My study focus on the “January effect” in Sweden and whether or not it is a present phenomenon, thus increasing the contemporaneity of the “January effect”. I base my study on Claesson’s, but I also use  various studies that have been made across the world about this seasonal anomaly. The purpose of the study is to increase the Swedish contemporaneity of the “January effect”. I want to increase the knowledge and understanding of this seasonal anomaly in today’s stock market in Sweden. The study will be of use for both professional and unprofessional investors and can be of use in portfolio strategy decision making.´ In order to make conclusions and to make the research profound I have used theories such as “The-small-firm in January effect” and the “Tax-loss selling hypothesis”. Earlier studies by researchers have been used in order to give an understanding and in order to make a reliable study. I have  used a sample between the years 2003-2011 from the NASDAQ OMX Nordic Stock Exchange. The Sample focus on the Stockholm Stock Exchange in order to determine the existence of the effect in Sweden. The sample is raw data from three different indices which then have been analyzed through Excel. The finding from this study is that there is a “January effect” present on the Stockholm Stock Exchange today. This seasonal anomaly can be seen for small firms listed on the Small Cap at the Stockholm Stock Exchange. Small firms present abnormal returns during January that is consistent over the sample period. Small firms consistently outperforms large firms during the month of January, an outperformance that cannot be seen in any other month during a given year. The study also concludes that December is a strong month, especially for large firms. This creates a discussion on the exploration of the market inefficiency and calls for further studies on the matter. Further evidence of such an exploration can be seen on the last five days of trading in December for small firms. Small firms consistently present high returns during the last trading days of December, thus strengthen the theory that there is an exploration of the market inefficiency.

In this paper I examine the validity of technical analysis for the Swedish stock index OMXS30 between 2001-12-28 and 2011-12-30.  Results indicate that OMXS30 followed a non-random walk and that technical trading rules had predictive power over future price movements. Results also suggest that technical trading rules could be used to outperform a buy-and-hold strategy.

Background: The efficient market hypothesis states that it is not possible to consistently outperform the overall stock market by stock picking and market timing. This is because, in an efficient market, all stock prices are at their correct level, and there are no over- or undervalued stocks. Nevertheless, deviations from true price can occur according to the hypothesis, but when they do they are always random. Thus, the only way an investor can perform better than the overall stock market is by being lucky. However, the efficient market hypothesis is very controversial. It is often discussed within the area of modern financial theory and there are strong arguments both for and against it. Purpose: The purpose of this study was to investigate whether it is possible to outperform the overall stock market by investing in stocks that are undervalued according to the enterprise multiple (EV/EBITDA), and the price-earnings ratio. Realization of the Study: Portfolios were constructed based on information from five years, 2001 to 2005. Each year two portfolios were put together, one of them consisting of the six stocks with the lowest price-earnings ratio, and the other consisting of the six stocks with the lowest EV/EBITDA. Each portfolio was kept for one year and the unadjusted returns as well as the risk adjusted returns of the portfolios were compared to the returns on the two indexes OMXS30 and AFGX. The sample consisted of the 30 most traded stocks on the Nordic Stock Exchange in Stockholm 2006. Conclusion: The study shows that it is possible to outperform the overall stock market by investing in undervalued stocks according the price-earnings ratio and the EV/EBITDA. This indicates that the market is not efficient, even in its weak form.

Stationarity is an essential property to portfolio return in the past statistical arbitrage strategy, this article uses Neo-75 rule, momentum effect, properties as independent and identically distribution and stationarity in error term, in one asset and in the very short holding period. The result in out sample period owning positive cumulative return. The finding suggests individual investors use this strategy in higher efficiency market to avoid invalidation in our model. This article surveyed CAC40, DJI, HangSeng, NASDAQ, Nikkei225, Shanghai and TWII indices. All the excess returns in out sample periods indicate they are exclude weak form of efficient market.

<p>This paper examines whether the phenomena of price drift around quarterly earnings re-leases exist among firms listed on the large cap. list at the Stockholm Stock Exchange for a time period ranging from the first quarter of 2003 to the second quarter of 2006. It fur-thermore examines the ability of the variables forecast error, relative to analyst’s estimates, and firms’ size to explain the variation in price drift among firms.</p><p>A sample of some 30 firms were drawn in the first three quarters of each year between 2003 and 2005, for the year of 2006 only the fist two quarters were included in the study. For each quarter all firms were classified into three different portfolios on the basis of earnings deviations relative to mean analyst’s estimates (forecast error). The returns for each firm in all portfolios were investigated during 20 days post- and pre quarterly earnings release date, resulting in an event window totaling 41 days. In order to clear out effects from general market movements the Capital Asset Pricing Model, CAPM, was used in which betas were estimated for all firms each quarter.</p><p>The findings from this study indicate that price drift, measured by cumulative abnormal re-turn, occur for firms with both negative forecast error as well as positive. For firms with positive error, statistically significant positive price drift was found for both the pre- and post period. As for the firms with earnings below analyst’s mean estimates, negative prean-nouncement drift was statistically supported.</p><p>The ability of firms size and forecast error to explain the variation in price drift on a stock level was very weak, R2 measures of below 5% was reported. However, forecast error was a strongly significant independent variable in the context of the regressions run for both pre- and post-announcement drift. The firms below the lower market cap. quartile in the sample show, on average, lower pre-announcement drift than the firms belonging in the largest quartile.</p><p>Concerning market efficiency among the large cap. firms the price drift found is an indica-tion of market inefficiency both it terms of the semi strong and the strong form. However, care should be taken before generalizing the results from this study but. Possible misspeci-fication of the equilibrium return model will skew the price drift measurement. Moreover, speculation is not explicitly controlled for in this test. Finally, this study is done within a li-mited time span; hence generalization over time is not possible</p>

During the last decade, investments into the Swedish mutual fund market have increased substantially. The increased popularity of actively managed Swedish equity funds among households and investment companies, correspondingly, funds need to deliver substantial results, raised the importance to evaluate these funds’ performance. This thesis adds to the scarce empirical literature on Swedish equity mutual fund performance. Employing the Fama-French three factor model, it analyzes whether actively managed Swedish equity mu- tual funds outperform the Fama-French benchmarks net- and gross of management fees. The study uses time-series data and constructs equally-weighted portfolios of the 42 Swe- dish based actively managed equity mutual funds investing in Sweden for the period 2003- 2013. The portfolios’ excess returns are calculated by estimating the Fama-French three factor model by means of ordinary least squares (OLS) regression analysis. The empirical results show that actively managed equity mutual funds over performed the Fama-French three factor benchmarks by an average annualized net- and gross excess return of 3.60 and 4.67 percent respectively. Sorting out the funds by the performance into deciles, the find- ings indicate that management fees influence the performance of the equity mutual funds in the sample of our study. The conclusion is made such that there is an indication that Swedish equity funds’ managers are able to add value above passive investing.

The study of economics is based on key concepts such as incentives, efficiency, marginality and tradeoffs. Economic research has hypothesized and tested for how economic agents behave after taking each of these into account. In order for agents to meet their objectives it is sometimes the case that they intentionally keep their behaviors out of sight. However, economic theory can be used to search for patterns of observed behaviors from which the unobserved behaviors can be inferred. This dissertation performs this kind of analysis by observing the behavior of sports participants. Chapter 1 is an application of Becker's (1968) economic model of crime by using an econometric model to search for the presence of National Basketball Association (NBA) referees who bet on NBA games. The placement of these bets is not observed since a referee who bets on a game does so illegally and therefore hides his betting activity to prevent detection. A referee who places a bet on a game he also officiates has an incentive to manipulate to improve his chances of winning the bet. At the same time he should also be mindful to manipulate in a way that lowers his chances of being detected. The referee's observed behaviors through detailed play-by-play data are used to look for patterns hypothesized to be consistent with manipulation. The results suggest that former NBA referee Tim Donaghy, who was found to have bet on NBA games, did behave in ways consistent with manipulation. One other referee also appears to engage in the same type of behavior but stops once Donaghy is detected. Chapter 2 is an application of Fama's (1970) Efficient Market Hypothesis (EMH). Typically, the EMH is tested in the financial markets but some research tests for it in the sports betting markets so that the question becomes whether or not the betting market odds fully reflect all of the available relevant information. This chapter tests to see how completely National Football League (NFL) bettors use information called the circadian advantage. This occurs when a game is played in the evening, Eastern Time, between teams that are based on opposite coasts and always favors the better rested West Coast team. A regression model designed to test for market efficiency finds that the advantage is not fully reflected in the odds so that bets on the West Coast team are underpriced. In a majority of games that involve a circadian advantage most of the money is wagered on the overpriced East Coast team. A conclusion that ties these results together is that the bookmakers restrict the amount bet from informed bettors who tend to win their bets and who are aware of the circadian advantage, and adjust the odds just enough to bait uninformed bettors who are unaware of the circadian advantage into placing wagers on the team that is overpriced. Given these dynamics, it is the bookmakers who profit from the information contained in the circadian advantage. Chapter 3 revisits the NFL betting market but instead estimates the extent to which bettors place wagers based on sentiment for a team that is unrelated to relevant measures of relative performance along the lines of speculative investment outlined by Graham and Dodd in 1934 (2009). The results show that more bets tend to be placed on teams for which bettors have high sentiment and fewer bets are placed on teams for which bettors have low sentiment. However, the market odds appear to be using sentiment unbiasedly, leading to the conclusion that contrarian bettors place wagers opposite the sentimental bettors. While the market as a whole is efficient in the use of sentiment, losers tend to be bettors who wager with sentiment and winners tend to be bettors who wager against sentiment.