Syftet med studien är att undersöka huruvida det är möjligt att generera högre avkastning genom fundamental analys med fokus på värdeinvestering och Joseph Piotroskis modell (2000) Fundamental Signal Score (F-SCORE). Modellen testas på den svenska aktiemarknaden under perioden 2007-2015. Genom att skapa 27 fiktiva portföljer, beräkna årlig avkastning och jämföra dem mot marknadsindexet SIXRX utvärderas modellens möjligheter att skapa marknadsjusterad avkastning på den svenska aktiemarknaden. Vidare undersöks modellens statistiska samband med avkastning samt kvoten mellan bokfört värde och marknadsvärde (B/M). Studien visar att H_F-portföljen bestående av företag med höga F-SCORES (7-9) gav upphov till bättre marknadsjusterad avkastning än både HBM-portföljen, bestående av företag med höga B/M-tal samt L_F-portföljen med F-SCORES mellan 0-3. Resultatet indikerar att det är möjligt att hitta undervärderade tillgångar och slå marknaden fem av nio gånger genom tillämpning av F-SCORE på den svenska aktiemarknaden. Detta innebär att den effektiva marknadshypotesen (EMH) inte är lika effektiv som teorin antyder. / The aim of this paper is to examine whether it is possible to generate higher returns through the use of fundamental analysis with focus on value investing and Joseph Piotroski’s (2000) model called Fundamental Signal Score (F-SCORE). The model is tested on the Swedish Stock Market during the period 2007-2015. By forming 27 fictive portfolios, calculating yearly returns and comparing them to the SIXRX benchmark, the model’s possibility to generate market-adjusted returns on the Swedish Stock Market is evaluated. Furthermore, the model’s correlation with the returns and book-to-market ratio (B/M) are tested statistically. The study shows that the H_F-portfolio consisting of companies with high F-SCORES (7-9) gave rise to better market-adjusted returns than both the HBM-portfolio, consisting of companies with high book-to-market ratios, and the L_F-portfolio with F-SCORES between 0-3. The results indicate that it is possible to find undervalued assets and beat the market five out of nine times by using the F-SCORE on the Swedish Stock Market. Therefore, the efficient market hypothesis (EMH) is not as efficient as the theory applies.

The 1929 stock market crash on Black Thursday, followed by the subsequent four-year period of extreme economic downturn, signifies an extremely profound piece of U.S. history. During this time, global economic productivity – measured by GDP – decreased while the U.S. unemployment rate increased staggeringly. Leveraging construction permits as a forward-looking measure of economic activity, I empirically evaluate the effect of construction permits – specifically, the lagged growth rate of monthly construction permits – and lagged monthly stock returns on monthly Standard & Poor's 500 (S&P 500) stock returns. Lagged construction permit returns and lagged stock returns provide early indications (i.e., stock returns) of the following Great Depression.

Studier om oljepriser och finansiella marknader är relativt få i jämförelse med de studier som finns om förhållandet mellan oljepriser och makroekonomiska variabler. Olja betraktas som en av de viktigaste produktionsfaktorerna, vilket innebär att förändringar i oljepriser påverkar företags kostnader och därmed aktiemarknaden. Att studera förhållandet mellan oljepris och aktiemarknader är av vikt för ett flertal intressenter, bland annat investerare, banker ochportföljförvaltare. Investerare får till exempel svårigheter att maximera aktieavkastning om de inte förstår sambandet mellan oljepris och finansiella marknader. I studien analyserades förhållandet mellan oljepris och den svenska aktiemarknaden med koppling till ränta och växelkurs. Studien baserades på en kvantitativ undersökning med deduktiv ansats, utifrån data över tidsperioden 1991 till 2016. De statistiska tester som genomfördes var en korrelationsanalys, en bivariat och en multipel regressionsanalys. Resultaten visade att det finns ett positivt förhållande mellan oljepris och den svenskaaktiemarknaden. Vidare observerades ett negativt förhållande mellan ränta och den svenska aktiemarknaden och ett positivt förhållande mellan växelkurs och den svenska aktiemarknaden. Studiens första hypotes gällande de grundläggande variablerna förkastades eftersom det ursprungliga antagandet var att ett negativt förhållande skulle råda mellan oljepris och aktiemarknaden i Sverige. Däremot visade studien stöd för resterande två hypoteser. Studiens resultat är inte applicerbart på alla aktiemarknader utan kan begränsas tillbörser i oljeimporterande, utvecklade länder med liknande ekonomisk och politisk struktur som i Sverige. Vidare forskning inom området är nödvändig. Framtida studier bör inkludera fler variabler och ha större fokus på de bakomliggande orsakerna till förändringar i oljepris och deras eventuella koppling till aktiemarknader. Det kan även vara av värde att inkluderasocioekonomiska och politiska faktorer och undersöka oljeprisets effekt inom olika branscher och sektorer på aktiemarknaden. / Studies on oil prices and financial markets are relatively few in comparison to the studies on the relationship between oil prices and macroeconomic variables. Oil is considered to be one of the main production factors, which means that changes in oil prices affect corporate costs and thus the stock market. Studies of the relationship between oil price and stock markets areimportant for a number of stakeholders, including investors, banks and portfolio managers. For example, investors get difficulties in maximizing share returns if they do not understand the correlation between oil prices and financial markets.In the study, the relationship between oil prices and the Swedish stock market and its connection with interest rates and exchange rates was analyzed. The study was based on a quantitative survey with a deductive approach, with data over the period 1991 to 2016. The statistical tests conducted were a correlation analysis, a bivariate and a multiple regression analysis. The results showed that there is a positive relationship between oil prices and theSwedish stock market. Furthermore, a negative relationship between interest rates and the Swedish stock market was observed and also a positive relationship between the exchange rate and the Swedish stock market. The study's first hypothesis regarding the basic variables was rejected, since the original assumption was that a negative ratio would prevail between oil prices and the Swedish stock market. On the other hand, the study showed support for the remaining two hypotheses. The study's results are not applicable to all stock markets but can be limited to financial markets in oil importing, developed countries with similar economic and political structure as in Sweden. Further research in the field is necessary. Future studies should include more variables and focus more on the underlying causes of changes in oilprices and their possible links with stock markets. It may also be useful to include socioeconomic and political factors, as well as to investigate the effect of oil prices in different sectors in the stock market.

This work reviews the topic of international financial linkages, including theoretical definitions and the main methodological approaches of the empirical measurement based on vector autoregressive models. One of the approaches, the Spillover Index methodology based on Diebold & Yilmaz (2009), is then used to analyze the developments of financial linkages of the Japanese stock market in the period from 1995 to 2012. The attention is paid both to the relations with western developed economies and within the region of East Asia. The main contribution of this paper is the fact that it comprises a complete review of international relations of Japanese stock market during the era of unprecedented financial liberalization. The results of the empirical study confirm the opening of Japanese stock markets towards foreign influence. Even though USA have been the major driving force behind the movements in East Asian stock markets, Japan has become a significant regional player, whose influence on East Asian countries has been growing. The developments in the Japanese stock market are on the other hand driven solely by the western developed countries, which further supports the view of Japan as the regional financial leader.

1 Abstract In this thesis, we present an empirical analysis of integration between the Baltic and global stock markets during the period between 2000 and 2018. This research is spurred by the fact that all three Baltic countries displaying similar positive economic developments over the studied horizon. Using the theoretical and empirical findings from similar research papers, we ground our work for the analysis. Our methodology is based on three different models: DCC-GARCH, total and frequency connectedness, and the Engle-Granger cointegration test. Using these methods, we are able to determine both short- or long-term relationship dynamics. Based on the results from our empirical analysis we were not able to reject the null hypotheses, that the Baltic states have become more integrated between themselves and the global market. At best, our results would suggest a weak form of integration given that there were indeed some notable dynamic changes. Following these results, we provide insight on interdependencies between the Baltic states and their relationships with the global stock markets. Most notable dynamics are captured by the total connectedness measure, which indicates that the Baltic stock markets show a significantly increased connectedness with the global indices, during turbulent times in the...

This study aims to investigate if an outside investor can gain positive return from investing in company stocks on the Swedish stock market following published announcements of insider stock purchases done through the Swedish financial regulatory authority Finansinspektionen’s public insider transaction registry. Studying a total of 5 966 announced stock purchases during the period 2014 – 2018, the study finds significant positive abnormal return over all studied time periods following the announcement date, regardless of differences in company size. Highest return was found in smaller companies, at the cost of accepting a higher degree of risk. Despite significant results showing informational value of the announced purchases, economic gain from following insider behavior could be inhibited by the cost of investment and would require the outside investor to pick the right stock, which could prove difficult.

With background to recent price growth in Swedish real estate and consequently real estate stocks, our aim is to examine the relationship between real estate price development and real estate stock price development. To test our hypothesis, that real estate price development have had an impact on the return of real estate stocks, we built a capital asset pricing model. We divide the return of real estate stocks into two parts, the return in relation to the Swedish market premium and the excess return that is given for the exposure of the real estate market. We found that real estate exposure would treat the investor with an additional return beyond the return given from stock market exposure; hence, real estate price development has contributed to real estate stock returns.

The study examines how the investment strategy Magic Formula (Greenblatt, 2006) has performed on the Swedish stock market. It is also investigated how the performance is affected when the strategy is combined with momentum. Since the expected pension for future generations is expected to decline it is important to have private savings with as high return as possible. Therefore, it is relevant to investigate if simple investment strategies can be used to achieve higher return. The purpose with this study is to find out if the investment strategies Magic Formula and Magic Formula combined with momentum has had a higher risk-adjusted return than the benchmark index OMX30. The results show that both Magic Formula and Magic Formula combined with momentum yielded a higher risk-adjusted return than the benchmark index. The results also showed that Magic Formula yielded an even better risk-adjusted return when it was combined with momentum. We wish that the result that was found in this study will give inspiration to private investors in order to achieve a higher return in their savings and a more satisfactory pension in the future

O trabalho tem como objetivo identificar a existência do efeito momento, de comprar ações com alto desempenho relativo no passado e vender as de baixo desempenho relativo no passado, e do efeito contrário, de comprar ações com baixo desempenho relativo no passado e vender as de alto desempenho relativo no passado. A análise considerou 662 ações negociadas na BM&FBOVESPA entre julho de 1994 e junho de 2015, considerando quatro períodos de formação (3, 6, 9 e 12 meses) e seis de manutenção (3, 6, 9 e 12, 18 e 24 meses) das carteiras. A metodologia adotada para o efeito momento utiliza a abordagem de Jegadeesh e Titman (1993) e, para o efeito contrário, optou-se por De Bondt e Thaler (1985). A partir da identificação das carteiras vencedoras e perdedoras, passou-se a calcular as diferenças dos retornos acumulados mensais com uma janela móvel para expurgar o viés de seleção. Das 24 estratégias analisadas, verificou-se que apenas uma não apresentou significância para o efeito momento e rejeitou-se a hipótese de existência do efeito contrário. Constatou-se o efeito momento em 23 estratégias, sendo que duas apresentaram desempenho médio mensal superior ao Ibovespa no mesmo período, nas carteiras \"12x3\" e \"9x6\", respectivamente, de 1,60% e 1,48%. As principais contribuições do trabalho foram a adoção de uma carteira móvel para a avaliação do desempenho das carteiras, o amplo período utilizado na análise e o grande número de ativos, o que proporciona maior robustez aos resultados encontrados. / The work aims to find momentum effect, that buys stocks with relative high return in the past and sells stocks with relative poor return in the past, and the contrarian effect, that buys stocks with relative poor return in the past and sells stocks with relative high performance in the past. The analysis included 662 stocks traded on BM&FBOVESPA between July 1994 and June 2015, considering four formation periods (3, 6, 9 and 12 months) and six holding periods (3, 6, 9 and 12, 18 and 24 months) for the portfolios. The methodology adopted for momentum effect uses the theory of Jegadeesh and Titman (1993) and the contrarian effect uses De Bondt and Thaler (1985) theory. From the identification of winners\' portfolios and losers\' portfolios, it was calculated the differences in monthly cumulative returns with a rolling window to purge the selection bias. Of the 24 strategies analyzed, it was found that only one has no significance for momentum effect, and the hypothesis of contrarian effect was rejected. Momentum effect was found in 23 strategies, and two had average monthly performance superior to Ibovespa in the same period in the \"12x3\" portfolios and \"9x6\" portfolios, respectively, 1.60% and 1.48%. The main contributions of this study was to adopt a rolling window for evaluating the performance of the portfolios, the extended period used in the analysis and the large number of stocks, which provides greater robustness to the results found

A estabilidade econômica e o crescimento do mercado de capitais ocorridos no Brasil nas últimas duas décadas, fez com que alguns produtos de investimentos tivessem um crescimento no volume de operações e nos montantes transacionados. Um destes produtos com grande crescimento são os Fundos de Investimento Imobiliários (FIIs), produto que tem como foco o investimento, direto ou indireto, em ativos financeiros ligados a imóveis. No Brasil a criação deste produto foi muito influenciada pela necessidade de captação de recursos por parte do incorporador ou proprietário do ativo, se tornando também, ao se analisar pela perspectiva do investidor, uma opção de diversificação e uma possibilidade para o pequeno investidor investir em imóveis, com a perspectiva de recebimento de renda mensal sem tributação. Apesar de ser um investimento com características próprias, pesquisas internacionais mostram que a valorização das cotas dos FIIs sofre por vezes influência não só do resultado operacional dos fundos, mas também de fatores sistêmicos, entre eles a variação das bolsas de valores e a variação dos juros de mercado. Seguindo a linha de pesquisas internacionais, esta pesquisa teve como objetivo analisar, através da aplicação de regressões por mínimos quadrados ordinários, a influência do mercado de ações, dos juros de mercado e de fatores específicos a um segmento, na rentabilidade dos FIIs, sendo utilizada como amostra os fundos com negociação de suas cotas na BM&FBovespa. Em uma primeira análise, carteiras foram criadas para que fosse possível analisar o grau de influência dos fatores bolsa de valores e juros de mercado na rentabilidade destas carteiras. Na análise final, especificamente para os FIIs que investem em Shopping Center, buscou-se estudar qual a influência de fatores específicos deste mercado, no caso a variação do preço do aluguel e das vendas do varejo, sobre a rentabilidade das cotas de uma carteira criada somente com FIIs que investem neste tipo de ativo. Os resultados desta pesquisa sugerem uma influência significante da variação da bolsa de valores na análise de uma carteira geral de FIIs, porém, quando são analisadas carteiras compostas por FIIs com características específicas, esta influência diminui. No que se refere aos juros de mercado, a sua influência só se mostra significativa quando na análise de uma carteira geral de FIIs e, especificamente, em um período específico da análise. Para a carteira criada com FIIs que investem em Shopping Center, as variáveis bolsa de valores, juros e variação do aluguel tiveram resultado significante, sendo este último o mais representativo. Os resultados apresentados nesta pesquisa estão em linha com os apresentados nas primeiras pesquisas internacionais, principalmente para o mercado norte-americano, quando utilizaram um pequeno período de análise em um mercado em expansão. Pesquisas futuras com um maior período de análise e com a inclusão de outras variáveis, serão importantes para identificar possíveis alterações na influência dos fatores sistêmicos na rentabilidade dos FIIs. / The economic stability and capital market growth in Brazil in the last two decades resulted, among other things, in an increase in the number of transactions and amounts for a few investment products. One of these increasingly growing products is Real Estate Investment Trust (REITs), a product focused on the direct or indirect investment in real estate market. In Brazil, although the creation of this product is more closely linked to the need to raise funds from the developer or owner of the asset, when analyzing the investor\'s perspective, this investment serves as an option of diversification and is also a chance for the small investor to invest in real estate, with the perspective of receiving a non-taxable monthly income. Despite being an investment with specific characteristics, international surveys shows that appreciation of REITs quotas are not only influenced by market-specific factors, but also by systemic factors, including variation of stock exchanges and interest rates. Following the line of international researches, this study aimed to analyze, through application of ordinary least square regressions, the influence of stock market, market interest and segment-specific factors on REITs profitability, using as sample REITs funds negotiated in BM&FBovespa. In an initial analysis, various portfolios were created to analyze the influence of the stock exchange and interest rates in their profitability. The final analysis, specifically for REITs investing in Shopping Center, studied the influence of market-specific factors, i.e., rental fee and retail sales variation, on the profitability of portfolio created only with REITs investing in this type of asset. Research results suggest a significant influence of the stock exchange return in an overall REIT portfolio analysis; however, when creating specific REIT portfolios, this influence decreases in many created portfolios. Regarding interest rates, a significant influence is only shown when analyzing an overall REIT portfolio and specifically in a period when interest rates increase and REITs profitability decrease. For the portfolio created with REITs investing in Shopping Center, the variables stock exchange, interest rate and rent variation had significant results, the latter being the most representative. The results presented in this study are aligned with those presented in the first international researches, mainly for the US market, when a small period of analysis was tested in an expanding market. Future researches, with a longer period of analysis and new variables, will be important to identify possible changes in the influence of systemic factors on the profitability of REITs.