Submitted by Leonardo Milane (lemilane@santander.com.br) on 2016-02-15T21:54:56Z No. of bitstreams: 1 Tese - Leonardo Milane - Magic Formula.pdf: 348511 bytes, checksum: 91d8cd74adea7ad467c334e5d332aeb4 (MD5) / Approved for entry into archive by Renata de Souza Nascimento (renata.souza@fgv.br) on 2016-02-15T21:55:58Z (GMT) No. of bitstreams: 1 Tese - Leonardo Milane - Magic Formula.pdf: 348511 bytes, checksum: 91d8cd74adea7ad467c334e5d332aeb4 (MD5) / Made available in DSpace on 2016-02-16T11:16:35Z (GMT). No. of bitstreams: 1 Tese - Leonardo Milane - Magic Formula.pdf: 348511 bytes, checksum: 91d8cd74adea7ad467c334e5d332aeb4 (MD5) Previous issue date: 2016-02-04 / The main purpose of this work is to back-test the Magic Formula in the IBX- 100 index, in order to gather evidence of effectiveness of the respective methodology in the selection of the best stocks and portfolios that beat the IBX-100 in the long run. The Magic Formula was developed by Joel Greenblatt and consists in a methodology for stock picking that creates portfolios of stocks with high ROICs and high Earnings Yield, following the Value Investing philosophy. Many portfolios were created in the period between January 2000 and June 2015 combining different number of stocks per portfolio and different holding periods. Some portfolios did beat the market index, while some did not. Portfolios with a higher number of stocks and longer holding periods seem to perform better than portfolio with fewer stocks and shorter holding periods. The portfolio with 10 stocks, holding period of 1 year, showed the highest CAGR among all portfolios (17,77%), surpassing the IBX-100 CAGR of 13,17% in the same period, even risk-adjusting. Regardless the holding period and the number of stocks, all portfolios presented lower systematic risk than the IBX-100 index (all betas were significant and lower than 1). On the other hand, all alphas were low, rarely significant, suggesting that the active portfolio management that follows the Magic Formula criteria did not add substantial higher returns when compared to market returns. / O objetivo desse trabalho é realizar um procedimento de back-test da Magic Formula no IBX-100, a fim de reunir evidencias sobre a eficiência de tal metodologia no processo de seleção das melhores ações e formação de carteiras que superem o desempenho do IBX-100 no longo prazo. Desenvolvida por Joel Greenblatt, a Magic Formula é uma metodologia de formação de carteiras que consiste em escolher ações com altos ROICs e Earnings Yields, seguindo a filosofia de Value Investing. Diversas carteiras foram montadas no período de janeiro de 2000 a junho de 2015 utilizando diferentes combinações de número de ativos por carteira e períodos de permanência. Nem todas as carteiras apresentaram retornos superiores ao índice de mercado. Aparentemente, as carteiras com mais ações e períodos de permanência mais longos apresentam desempenho superior às carteiras menores e com rotatividade maior (períodos de permanência mais curtos). A carteira de 10 ações, com período de permanência de 1 ano, apresentou o maior CAGR dentre todas as outras (17,77%), superando o CAGR de 13,17% do IBX-100 no mesmo período. Esse resultado foi superior mesmo quando ajustado ao risco. Independentemente do período de permanência e número de ações, todas as carteiras apresentaram riscos sistemáticos menores do que o índice IBX-100 (todos os betas foram significativos e menores do que 1). Por outro lado, os alfas das carteiras foram muito baixos e, raramente, significativos, sugerindo que a gestão ativa de acordo com os critérios da Magic Formula não adiciona retornos substancialmente maiores do que o retorno relacionado à variações de mercado.

The study examined the impact of earnings announcements on the share price of selected mining companies using the most recent data from the Johannesburg Stock Exchange. This study covered a period from 1 January 2011; to 31 December 2015. Using the classical event study methodology, the speed of reaction of the market to annual earnings information releases for a sample of 27 companies listed on the exchange is tested. Over the sample period, the Abnormal Returns (AR), Average Abnormal Returns (AAR) and Cumulative Average Abnormal Returns (CAAR) were calculated. The AR, AAR and CAAR show positive results obtained during the earnings announcement period. The returns yielded from these results are significantly different from zero. / Financial Accounting / M. Phil. (Accounting Sciences)

It is generally accepted in academic circles that the developed country capital markets with their advanced infra-structure, depth and liquidity are at a minimum Weak-Form efficient. Since the Weak-Form EMH proposes that current security prices immediately assimilate all historical information, it therefore also implies that technical analysis (which relies on charts and analysis of past price patterns to extrapolate future price movements) would be a futile exercise. Yet technical analysis has endured over time and is still an intensively and widely used investment analysis technique. This indicates a clear disconnect between technical analysis as employed by practitioners in the market and the technical analysis methodologies utilized by academics in prior Weak-Form EMH studies. The problem is prior technical analysis Weak-Form EMH studies were burdened with methodological weaknesses which severely handicapped the profit generating potential of technical analysis and suggest that previous Weak-Form EMH research findings were erroneous in being unable to reject the null Weak- Form market efficiency hypothesis. This study addresses the problem by eliminating prior methodological weaknesses and utilizing high frequency intra-day data, the combination of qualitative and quantitative techniques and volume signals to develop a portfolio of Intermarket Momentum technical analysis strategies that generate significant excess profits. The objective of this study is therefore to provide evidence that contrary to prior research findings, the developed country capital markets are not Weak-Form efficient. The results show that the portfolio of Intermarket Momentum trading strategies generated returns in excess of the market with a significantly positive Alpha of 8.52% that allowed the rejection of the Null Hypothesis and the acceptance of the Alternative Hypothesis that the developed country capital markets are not Weak-Form efficient, thereby refuting the widely accepted EMH. / Business Management / D.B.L.

Made available in DSpace on 2016-08-02T21:42:22Z (GMT). No. of bitstreams: 1 Flavio Crepardi Brustelo.pdf: 2116777 bytes, checksum: c87c19160f0189b5791b18e1639b5bbe (MD5) Previous issue date: 2011-11-23 / Os 799 discentes presenciais cursando entre o 5º a 8º semestre que utilizam os jogos de empresas, inclusos nas 225 empresas ativas distribuídas entre os cursos de Administração geral; Comércio exterior; Administração financeira; Ciências contábeis e Ciências econômicas no campus Rudge Ramos da Universidade Metodista de São Paulo, foram submetidos a 6 cenários virtuais, com diferentes graus de complexidade, onde suas decisões foram investigadas sob a ótica dos aspectos heurísticos, contidos em finanças comportamentais, validando a hipótese de que suas decisões não são tomadas utilizando a teoria de mercado eficiente contida nas finanças tradicionais, modelo este que pressupõe que seus agentes são racionais e maximizadores de benefícios esperados, mas as tomam através das heurísticas comportamentais de efeito certeza, reflexão e isolamento, existentes no questionário da Teoria do Prospecto, Nobel de economia em 2002 por introduzir os insights da pesquisa psicológica na ciência econômica, especialmente no que diz respeito as avaliações e tomada de decisão sob incerteza, sugerindo uma mudança na função linear da predileção de perdas à ganhos, constantes em finanças tradicionais, para uma concavidade da função utilidade para ganhos e convexas para perdas, utilizadas em heurísticas comportamentais de Kahneman e Tversky (1979). Foi também efetuada uma análise de processos das 56 empresas virtuais contidas no 1º quartil, escalonadas em ordem decrescente, gerando duas proxys de confirmação dos resultados tabulados. Foi constatado uma superestimação de resultados possíveis ao invés de resultados prováveis, demonstrando fantasias das habilidades dos jogadores, equiparáveis com os resultados de Weinstein (1980), em até 71% acreditando serem melhores do que realmente são. Além de análise Qui-Quadrática que confirmaram que os resultados da teoria do prospecto são equiprováveis e equilibrados com o trabalho original, além do Teste-t entre amostras de variâncias equivalentes que geraram significância estatística, reforçando o modelo. Também foi efetuado uma análise das decisões por gênero nas respostas, para comprovar a irrelevância proposta por Hanna, Gutter e Fan (2001) quanto a predileção e aceitação ao risco.

Made available in DSpace on 2016-08-02T21:42:29Z (GMT). No. of bitstreams: 1 Eduardo Roberto Priore.pdf: 1113457 bytes, checksum: 1acca67a7d8f784ff91ffb7295f3b2fe (MD5) Previous issue date: 2012-12-19 / The aim of this dissertation is to analyse loss aversion of the Business Administration and Financial Management students, using the reproduction of the work developed by Kahneman and Tversky (1979). For that purpose, it was made a field research with these students in a private college in São Paulo city with the application of the original survey template suggested by researchers Kahneman e Tversky (1979), and through the obtained results, Prospect Theory was validated, and it was verified that a group of students have less loss aversion. In this study was made a bibliographic review about the main changes in financial area since 1920 until nowadays highlighting the theory about modern financials, Efficient Market Hypothesis, Behavior Financials, Heuristics and Prospect Theory. The results reveal the existence of certainty, reflex and isolation effects. It was possible to confirm the existence of a different behavior of the Administration students. Among the main conclusions, Administration students are reacting differently of Financial Management students. Academic qualification is proving as a differentiation factor between the two groups. Administration students have a smaller financial base of studies than Financial Magement students and a larger base of studies on other areas. This larger knowledge on financial area didn t bring any differential for Financial Management students, this can be explained by the low age of this population, that have just left high school and has little experience and little understanding of financial market. / O objetivo desta dissertação é analisar aversão à perda dos estudantes do curso de administração de empresas e do curso de tecnologia em gestão financeira, usando a reprodução do trabalho desenvolvido por Kahneman e Tversky (1979). Para tanto, foi realizada uma pesquisa em campo com estudantes em uma faculdade particular, localizada da cidade de São Paulo, onde pode ser aplicado o questionário no modelo original proposto pelos pesquisadores Kahneman e Tversky (1979) e através dos resultados obtidos, foi recriada a teoria dos prospectos e constatou que um grupo de estudantes tem uma aversão à perda menor. Neste trabalho, foi feita uma revisão bibliográfica sobre as principais mudanças na área financeira desde 1920 até atualidade, destacando a Teoria sobre Finanças Modernas, a Hipótese de Mercados Eficientes, Finanças Comportamentais, Heurísticas e Teoria do Prospecto. Os resultados apontam para a existência dos efeitos certeza, reflexo e isolamento. Foi possível confirmar a existência de um comportamento diferente para o grupo de estudantes de administração. Dentre as principais conclusões, os estudantes de administração, estão reagindo de forma diferente que os estudantes de gestão financeira. A formação dos respondentes mostrou-se um fator de diferenciação entre os dois grupos. Os alunos de administração tem uma base de estudos sobre finanças menor comparada com os estudantes de gestão financeira e uma base de estudos maior em outras áreas. Esse conhecimento mais abrangente na área financeira, não trouxe nenhum diferencial para os estudantes de gestão financeira, isso pode se dar por essa amostra ser basicamente de pessoas muito jovem que acabaram de sair do ensino médio e com pouca experiência e entendimento do mercado financeiro.

This thesis is dedicated to the stock markets issue. Its main aim was to assess the effectiveness of the stock market and choose an appropriate investment strategy. To this purpose, the 5 industries of U.S. stock market were chosen, which served as a data base for all applied methods. The thesis presents the results of correlation and runs tests verifying the weak form of market efficiency, the results of fundamental analysis and of active strategies simulation as well. The final part is focused on creating of investment portfolio, which was chosen as the most appropriate investment strategy of the refenrence data set.

The purpose of this thesis is: (i) to produce an in-depth data analysis and computer-based simulations of the market environment to investigate whether financial stability is affected by the presence of High-Frequency investors; (ii) to verify how High-Frequency Trading and financial stability interact with each other under non-linear conditions; (iii) whether non-illicit behaviours can still lead to potentially destabilising effects; (iv) to provide quantitative support to the theses, either from the audit trail data or resulting from simulations. Simulations are provided to test whether High-Frequency Trading: (a) has an impact on market volatility, (b) leads to market splitting into two tiers; (c) takes the lion's share of arbitrage opportunities. Audit trail data is analysed to verify some hypotheses on the dynamics of the Flash Crash. The simulation on the impact of High-Frequency Trading on market volatility confirms that when markets are under stress, High-Frequency Trading may cause volatility to significantly increase. However, as the number of ultra-fast participants increases, this phenomenon tends to disappear and volatility realigns to its standard values. The market tiering simulation suggests that High-Frequency traders have some tendency to deal with each other, and that causes Low-Frequency traders also to deal with other slow traders, albeit at a lesser extent. This is also a kind of market instability. High-Frequency Trading potentially allows a few fast traders to grab all the arbitrage-led profits, so falsifying the Efficient Market Hypothesis. This phenomenon may disappear as more High-Frequency traders enter the competition, leading to declining profits. Yet, the whole matter seems a dispute for abnormal gains only between few sub-second traders. All simulations have been carefully designed to provide robust results: the behaviours simulated have been drawn from existing literature and the simplifying assumptions have been kept to a minimum. This maximises the reliability of the results and minimizes the potential of bias. Finally, from the data analysis, the impact of High-Frequency Trading on the Flash Crash seems significant; other sudden crashes occurred since, and more can be expected over the next future. Overall, it can be concluded that High-Frequency Trading shows some controversial aspects impacting on financial stability. The results are at a certain extent confirmed by the audit trail data analysis, although only indirectly, since the details allowing the match between High-Frequency traders and their behaviour are confidential and not publicly available Nevertheless, the findings about HFT-induced volatility, market segmentation and sub-optimal market efficiency, albeit not definitive, suggest that careful monitoring by regulators and policy-makers might be required.

Investors and fund managers have, since the start of financial markets, always been on the lookout for new ways of beating the market. However, researchers of the Efficient Market Hypothesis have shown that markets are usually highly efficient, implying that there are few possibilities of earning returns that are higher than the market returns, on a risk adjusted basis. Prevailing theories, such as the Capital Asset Pricing Model, has shown that increased return must stem from taking on higher risk. Though, this model’s explanatory power has been challenged by numerous researchers who propose different factors, other than market risk, which could hold explanatory power when it comes to returns in the stock market. This area of research is called factor investing, and has shown that factors such as momentum, size, and value, all can lead to outperforming the market.This study examines how a model based on two common factors, quality and value, would have performed on the Swedish stock market. The study is based on five portfolios chosen by the quality and value factors, each one held for 5 years, examined over a 25-year time span and uses the capital asset pricing model as a tool to measure whether or not the selected factors outperform the market. The study has taken a quantitative approach to examining the research question, using a positivistic and objectivistic view.The results of the study show evidence that the quality and value factors can lead to significant outperformance relative to the market index. Both total returns and risk adjusted returns were higher than the market index for some of the portfolios created using the quality and value factors. Furthermore, statistical evidence was found of that CAPM not fully explains all returns, and thus, that the returns are in part explained by the quality and value factors. The findings led to the conclusion that the quality and value factors does, in fact, hold explanatory power beyond that of CAPM. Purchasing quality companies at a reasonable price is shown to be a sound investment strategy, and that a portfolio created using the quality and value factors has good chances of outperforming the market index.

nÃo hà / Este estudo investiga a hipÃtese de eficiÃncia de mercado, a qual designa que estratÃgias de previsibilidade baseadas no comportamento passado das sÃries de retornos de aÃÃes nÃo implicam a obtenÃÃo de lucros econÃmicos. SÃo analisados dados de 25 mercados, estendendo-se de janeiro de 1990 a janeiro de 2010. A metodologia principal consiste na aplicaÃÃo de cinco testes de raiz unitÃria para painel, entre os quais se destaca o de Pesaran, Smith e Yamagata (2009), o qual assume que existe um determinado nÃmero de variÃveis que sÃo simultaneamente afetadas por um dado conjunto de fatores comuns nÃo observados. Os resultados modificam-se conforme altera-se o poder dos testes. O principal teste aplicado, particularmente, rejeita a hipÃtese em questÃo, sinalizando a possibilidade de exploraÃÃo de certas ineficiÃncias para a obtenÃÃo de lucros adicionais. / This paper investigates the efficient market hypothesis, which indicates a situation where investors are not able to develop a familiarity with past patterns of returns in order to obtain extra profits. It is used a sample containing 25 markets over the period January 1990 to January 2010. Econometric Methodology consists in exploiting five unit root tests, between which Pesaran, Smith e Yamagata (2009) is in relief, which assumes that there exists a number of variables that are simultaneously affected by a given set of unobserved common factors. Main results reject the efficient market hypothesis, indicating possibilities of exploiting inefficiency for obtaining extra profits.

Partindo dos conceitos estabelecidos pela Hipótese dos Mercados Eficientes (HME), a qual questiona a validade da Análise Gráfica, e considerando as críticas feitas à HME pelos defensores das assim chamadas Finanças Comportamentais, e outros, este estudo procurou detectar a existência de uma relação entre os sinais gráficos observados no dia-a-dia do mercado de ações brasileiro e as tendências que lhes sucedem, durante um período de 8 anos, para um número de papéis. Os resultados obtidos neste trabalho evidenciam a existência de tal relação, sugerindo a validade da utilização da Análise Gráfica como instrumento para a previsão de preços no mercado de ações brasileiro, no período considerado. / Based on the principles established by the Efficient Market Hypothesis (EMH), which argues that the Technical Analysis is of no value in order to predict future prices of securities, and considering the criticism to the EMH by the advocates of the so called Behavioral Finance, and others, this work tried to detect the existence of a relationship between the graphic signals observed day by day in the Brazilian stock market and the trends which happen after these signals, within a period of 8 years, for a number of securities. The results obtained from this study offer evidence of the existence of such relationship, suggesting the validity of the Technical Analysis as an instrument to predict security prices in the Brazilian stock market within that period.