Made available in DSpace on 2010-04-20T20:51:42Z (GMT). No. of bitstreams: 3 142184.pdf.jpg: 20410 bytes, checksum: 720b476fe32b25d220b0dde4d663ee25 (MD5) 142184.pdf: 373613 bytes, checksum: 1b6743be6830c2ae7ab8245255b9ad6b (MD5) 142184.pdf.txt: 120505 bytes, checksum: be4e63d920365eb874f914450f641b26 (MD5) Previous issue date: 2005-10-17T00:00:00Z / A presente dissertação analisa o erro de projeção dos analistas de investimentos do sell side, definido como a diferença entre o consenso das projeções dos analistas e o resultado reportado pela empresa. O tamanho do erro de projeção é uma medida da qualidade das projeções dos analistas de um determinado mercado de capitais. Uma vasta literatura acadêmica mostra que uma melhora na qualidade das projeções dos analistas, medida através de uma diminuição do tamanho do erro de projeção, está relacionada com a redução da assimetria de informação e com um aumento do valor de mercado das empresas. São testadas duas regressões, nas quais características das empresas, como setor, tamanho, endividamento e variabilidade do lucro, e características do ambiente de informação da empresa, como listagem de ADR, número de analistas que acompanham a empresa e convergência das projeções, são testadas contra duas métricas do erro de projeção, acurácia e viés. Nossas hipóteses são que existem fatores que influenciam de maneira significativa o tamanho do erro de projeção (acurácia) e o viés das projeções (viés). Estas hipóteses foram confirmadas, isto é, nossas regressões apresentaram pelo menos um fator que se mostrou significativo estatisticamente para influenciar o tamanho do erro de projeção (hipóteses H1 e H2) ou o seu viés (hipótese H3). Entretanto, os resultados mostram que vários fatores que se mostram significativos em testes conduzidos em mercados desenvolvidos – tais como tamanho, endividamento e variabilidade do lucro – não se mostraram significativos no mercado brasileiro. Por outro lado, os fatores relacionados com o resultado do ano projetado ou do ano anterior se mostraram fortemente significativos. Acreditamos que os resultados podem ser explicados de três maneiras: 1) ou a capacidade de adicionar valor dos analistas em relação a modelos estatísticos de projeção é muito pequena, devido à sua falta de habilidade; ou 2) a instabilidade macroeconômica é tão grande domina todos os outros fatores que poderiam influenciar o tamanho do erro de projeção; ou 3) os resultados das empresas nos mercados desenvolvidos são tão administrados, isto é, tão estáveis, que permitem que fatores mais sutis como o tamanho, o nível de endividamento e a variabilidade do lucro se tornem significativos. Esta dissertação não permite distinguir qual das explicações é a correta. Uma de suas limitações é não incluir variáveis referentes à habilidade e experiência dos analistas e, também, variáveis relacionadas a fatores como governança corporativa e disclosure de informações. Em uma linha de pesquisa muito extensa nos países desenvolvidos, mas praticamente inexistente no Brasil, esperamos que estudos futuros supram estas lacunas e nos permitam entender melhor a questão da qualidade das projeções de resultados no contexto brasileiro. / The current dissertation analyses the forecast error of the sell side analysts in the Brazilian context, defined as the difference between the forecast consensus and the company earnings effectively reported. The size of the forecast error is used as a proxy for the quality of the forecast produced by the analysts of a specific stock market. A vast academic literature shows that an improvement in the quality of the forecasts produced by the analysts, measured by a decrease in the size of the forecast error, is related with a decrease in the asymmetry of information in such market and by an increase in the market value of its companies. Two regressions are tested, in which company characteristics, such as sector, size, leverage and variability of earnings, and characteristics of the company’s information environment, such as ADR listing, number of analysts following and forecast convergence, are tested against two metrics of forecast error, accuracy and bias. Our hypotheses are that there are factors that impact significatively both the size of the forecast error (accuracy) and the bias presented by the projections (bias). The hypotheses are confirmed, that is, the regressions present at least one factor that impacts significantly either the size of the forecast error (hypotheses H1 and H2) or the bias (hypothesis H3). However, the results show that many factors that are significant in tests conducted in developed markets – such as size, leverage and earnings variability – are not significant in the Brazilian context. On the other hand, factors related to the company results in the fiscal year being forecast and in the previous year result to be strongly significant. We believe that these results can be explained in three ways: 1) either forecasts produced by Brazilian analysts add very little value over statistical models, probably because of lack of ability; or 2) the macroeconomic instability in Brazil is so great that its influence on the companies’ results dominates all other factors that could impact the size of the forecast error; or 3) the earnings management of the companies in the developed markets is so widespread, leading to such a stability of earnings, that it allows for more subtle factors such as size and leverage become significant. This study does not allow us to distinguish which one is the correct explanation. One of its limitations is not to include variables related to the ability and experience of the analysts, as well as variables related to governance and disclosure. In a body of research that is very extensive in developed countries, but practically inexistent in Brazil, we hope that future research fills these gaps and allow us to better understand the issue of the quality of earnings forecast in the Brazilian context.

The aim of this thesis is to explore the adaptability of the Evidential Reasoning (ER) Rule as a method to provide a useful supporting tool for helping investors make decisions on financial investments. Decision making in financial investment often involves conflicting information and subjective judgment of the investors. Accordingly, the ER Rule, extended from the original popular Evidential Reasoning algorithm and developed for MCDM (Multiple Criteria Decision Making), is particularly suited for handling conflicts in information and to allow for judgmental weighting on the sources of evidence. In order to do so, a specific EIA (Efficient Information Assessment) process modeled by the mass function of Dempster-Shafer Theory has been constructed such that the underlying architecture of the model satisfies the requirement of the ER rule. The fundamental concern is to define and assess “efficient information”. For this purpose, a process denoted the Efficient Information Assessment (EIA) is defined which applies the mass function of Dempster-Shafer theory. Any relevant information selected from an expert’s knowledge database is “efficient” if the data is fully in compliance with the requirement of the ER rule. The logical process of the EIA model proceeds with a set of portfolio strategies from the information recommended by top financial analysts. Then, as a result, the model enables the ER rule to make an evaluation of all strategies for helping investors make decisions. Experiments were carried out to back-test the investment strategy using data from the China Stock Market & Accounting Research (CSMAR) Database for the four-year period between 2009 and 2012. The data contained more than 270,000 reports from more than 4,600 financial analysts. The risk-adjusted average annual return of the strategy outperformed that of the CSI300 index by as much as 10.69% for an investment horizon of six months, with the p value from Student’s t-test as low as 0.02%. The EIA model serves as the first successful application adapting the ER Rule for a new and effective decision-making process in financial investment, and this work is the only empirical study applying the ER Rule to the opinions of financial analysts, to the best of my knowledge.

The thesis presents the results of a study on the impact of International Financial Reporting Standards on the analysts information environment. The analysis is concentrated on the role of specific IFRSs and corporate disclosure. The effect of IFRS adoption on the information asymmetry between firms and outsiders is examined through properties of analysts earnings forecasts. A contribution to the existing academic literature is made by examining the role of goodwill, intangible assets and acquisitions before and after IFRS adoption in Europe. The results show that the IFRSs for goodwill, acquisitions and intangible assets are related to improvements in the analysts information environment. Another contribution to knowledge is made by investigating the effect of corporate disclosure quantity on the analysts information environment before and after IFRS adoption. For this purpose, a new approach and text analysis technique to assess the impact of corporate disclosure quantity is developed. This involves the creation of a new custom dictionary and the collection of an extensive set of qualitative data. The results show that corporate disclosure quantity under IFRS, is related to improvements in the analysts information environment but that there are differences in this effect across European countries. The results also demonstrate that the improvements in the accuracy of analysts earnings forecasts are related particularly to disclosure concerning financial instruments and operating segments. Overall, the findings of the thesis suggest that the adoption of IFRS resulted in an increase in the quality of reported earnings, which is likely to derive from higher comparability of financial statements, enhanced transparency and an improved analysts information environment. It is also established that fundamental differences across countries remain after IFRS adoption and that the development and harmonisation of financial reporting standards alone are not sufficient to increase the quality of financial information and decrease information asymmetry between market participants.

Cette thèse de doctorat comporte trois chapitres distincts. Dans le premier chapitre, nous étudions le comportement moutonnier d'investisseurs individuels français. Notre analyse empirique repose sur une base de données de presque 8 millions de transactions réalisées entre 1999 et 2006 par 87 373 investisseurs individuels français. Nous montrons que le comportement moutonnier persiste dans le temps et que la performance passée ainsi que le niveau de sophistication influencent ce comportement. Nous tentons également d'apporter une réponse à une question très peu abordée dans la littérature : adopter un comportement moutonnier est-il profitable pour l'investisseur individuel ? Notre analyse empirique indique que les investisseurs contrariants obtiennent des rendements plus extrêmes (positifs ou négatifs) que les investisseurs moutonniers. Dans le second chapitre, nous montrons que mesurer la précision d'une prévision du prix futur d'une action n'est pas suffisant pour évaluer la qualité de cette prévision car la prévisibilité des prix est susceptible d'évoluer dans le temps et dépend du titre considéré. Nous montrons que la persistance dans les différences individuelles de précision des prévisions d'analystes, mis en avant dans la littérature, ne constitue pas une preuve de différences de compétences entre analystes. Cette persistance est, en réalité, causée par une persistance de la volatilité de la rentabilité des titres. Nous introduisons une mesure de qualité des prévisions qui incorpore à la fois l'erreur de prévision et la prévisibilité du prix. La théorie des options nous fournit les éléments nécessaires à l'estimation de cette prévisibilité. Lorsque celle-ci est prise en compte, il n'y a plus de différences de compétences entre analystes. Dans le troisième chapitre, nous montrons que les analystes expérimentés et inexpérimentés ne couvrent pas le même type d'entreprises. Les analystes expérimentés couvrent des entreprises de type « blue chips » tandis que les analystes inexpérimentés couvrent des entreprises petites, jeunes et en croissance. Ces différences de couvertures impliquent que les analystes inexpérimentés émettent des prévisions de prix sur des entreprises dont les rendements sont plus volatils et donc moins prévisibles. En conséquence, la précision des prévisions n'est pas une bonne mesure pour évaluer si les analystes expérimentés sont meilleurs ou moins compétents que les analystes inexpérimentés. Lorsque ces différences de couvertures sont prises en compte, nous obtenons que les analystes expérimentés émettent néanmoins de meilleures prévisions. Bien que statistiquement significatif, l'impact économique de l'expérience des analystes est faible. / This dissertation is made of three distinct chapters. In the first chapter, we introduce a new measure of herding that allows for tracking dynamics of individual herding. Using a database of nearly 8 million trades executed between 1999 and 2006 by 87,373 individual investors, we show that individual herding is persistent over time and that past performance and the level of sophistication influence this behavior. We are also able to answer a question that was previously unaddressed in the literature: is herding profitable for investors? Our unique dataset reveals that the investors trading against the crowd tend to exhibit more extreme returns and poorer risk-adjusted performance than the herders. In the second chapter, we show that measuring the accuracy of a target price is not sufficient to assess its quality, because the forecast predictability (which depends on the stock return volatility and on the forecast horizon) is likely to vary across stocks and over time. We argue that the evidence of time persistent differences in analysts' target price accuracy, obtained in previous studies, cannot be interpreted as a proof of persistent differential abilities. Our analysis indicates that the persistence in accuracy is driven by persistence in stock return volatility. We introduce a measure of target price quality that considers both the forecast inaccuracy and the forecast predictability. Using elements from option-pricing theory, we provide a simple solution to the issue of estimating target price predictability. Our empirical analysis reveals that, when forecast predictability is taken into account, financial analysts do not exhibit significant persistent differential abilities to forecast future stock prices. In the third chapter, we show that experienced financial analysts tend to cover different firms than inexperienced analysts. Experienced analysts tend to follow blue chips (i.e., large, international, mature firms) while inexperienced analysts focus on small, young, growth-oriented firms. These differences in coverage decisions imply that inexperienced analysts issue target prices on firms for which stock returns are more volatile, and thus less predictable. As a consequence, the accuracy measure of target prices fails to evaluate differences in ability between experienced and inexperienced analysts. When taking into account these differences in coverage decisions, we still find that experienced analysts do a better job at forecasting stock prices. Our results on the influence of analysts' characteristics on target price quality are statistically significant but economically weak.

Abstract Title: Direct and indirect effect of notes – for actors in a stock market Background: Notes make up a significant part of the company´s annual report, but does this information have any major impact? On one side, notes should lead to less information asymmetry, which positively affects the stock market and financial analysts forecasting precision as well as this relationship depends on different contexts. The question is also asked if all information presented in the notes is too extensive, which creates information overload for financial analysts. Purpose: The purpose is to explain the effects of more information in accounting notes for actors in equity markets in different contexts that have the same accounting standard. Method: The study applies a cross-sectional design together with a deductive approach to investigate whether the amount of note information has a relationship with financial analysts forecasting precision, stock volatility and stock liquidity. For these relationships, moderating effects will also be tested. The hypotheses arose through theories of asymmetric information, effective market hypothesis, cognitive load theory and system-orientated theories. Conclusion: The study rejects the relationship between note information and errors in financial analyst forecast, stock volatility as well as stock liquidity. However, the results show a significant positive relationship between note information and error in forecasting precision. Financial analyst forecasting precision show that the relationship is affected by three different contexts. Despite the relationship between note information and stock liquidity were rejected when tested on the overall sample is the relationship affected by two different contexts. / Sammanfattning Titel: Direkta och indirekta effekter av noter - För aktörer på en aktiemarknad Bakgrund: Noter utgör en väsentlig del av företags årsredovisning men har den informationen någon större påverkan? På ena sidan bör noter leda till mindre informationsasymmetri, vilket påverkar aktiemarknaden och finansiella analytikers prognosprecision positivt samt att detta samband även beror på olika kontexter. Frågan ställs även ifall informationen som presenteras i notavsnittet är för omfattande, vilket skapar informationsöverbelastning för finansiella analytiker. Syfte: Syftet är att förklara effekten av ökad delgivande av information i redovisningsnoter på aktörer på aktiemarknaden i olika kontexter som tillämpar samma redovisningsstandard. Metod: Studien tillämpar en tvärrsnittsdesign tillsammans med en deduktiv ansats för att undersöka ifall mängden notinformation har något samband med finansiella analytikers prognosprecision, aktievolatilitet och aktielikviditet För dessa samband testas även modererande effekter. Hypoteserna uppstod genom teorierna asymmetrisk information, effektiva marknadshypotesen, kognitiv belastningsteori och systemorienterade teorier. Slutsats: Studien förkastar sambandet mellan notinformation och fel i prognosprecision, aktievolatilitet och aktielikviditet. Däremot visar resultatet ett positivt signifikant samband mellan notinformation och fel i prognosprecision. Finansiella analytikers prognosprecision uppvisar även att sambandet påverkas av tre olika kontexter. Trots att sambandet mellan notinformation och aktielikviditet förkastas när den testas på en övergripande nivå, påverkas sambandet av två olika kontexter.

L'objectif de cette thèse est d'analyser le rôle des agences de notation sur le marché financier. Notre contribution consiste à mieux comprendre l'influence des annonces de notation sur les acteurs du marché français des actions (investisseurs et analystes financiers).La première question porte sur l'apport informatif délivré par les agences de notation et l'impact de leurs décisions. Afin de répondre à cette question, nous avons conduit une étude d'évènement à l'annonce de notation en distinguant les annonces par nature, type et catégorie.Cette recherche permet de prouver que les annonces de notation ont globalement un impact sur le marché des actions. L'impact dépend de la nature de l'annonce, des informations fournies dans les rapports de notation, des changements de note entre catégories et de ceux effectués dans la catégorie spéculative. Enfin, le niveau de la note dépend des caractéristiques financières et comptables de l'entreprise notée.La seconde question porte sur le rôle bénéfique des agences de notation sur les marchés. Afin de répondre à cette deuxième question, nous avons conduit une recherche qui consiste à analyser l'évolution de l'asymétrie d'information entre les investisseurs et de la liquidité autour des annonces de notation.Cette recherche prouve que les annonces positives (respectivement négatives) entraînent une diminution (respectivement augmentation) de l'asymétrie d'information sur le marché des actions. Les résultats prouvent également que les annonces positives et neutres, à l'inverse des annonces négatives, entraînent une réduction des fourchettes de prix et une amélioration des volumes de transactions. Ces deux effets concomitants traduisent une amélioration (respectivement détérioration) de la liquidité du marché lors des annonces positives et neutres (respectivement négatives).La troisième question porte sur l'utilité des annonces de notation pour les analystes lors de leurs prévisions. Afin de répondre à cette question, nous avons mené une recherche qui consiste à étudier l'évolution de la dispersion et de l'erreur des prévisions des analystes autour des annonces de notation.Les résultats mettent en évidence une relation inverse entre les caractéristiques des prévisions des analystes financiers et la nature de l'annonce de notation. Les annonces positives et neutres réduisent l'erreur et la dispersion des prévisions d'analystes.Ce travail de recherche permet d'attester de la réelle importance du contenu informationnel des annonces de notation pour le marché des actions et de la réelle contribution des annonces à l'amélioration de la communication financière sur le marché. / The main objective of this thesis is to analyze the role of rating agencies on the financial market. Our contribution consists in a better understanding of the impact of rating announcements on the agents on the French financial market (both investors and analysts).First we focus on the information content of announcements by rating agencies and the impact of theirs decisions in the market. To answer this question, we made an event study at the rating announcements, by identifying them by nature, type and category.This research highlights the fact that the rating announcements generally have an impact on the stock market. This impact depends on the nature of the announcement, the information provided in the reports as well as score changes between categories and within the speculative category. Moreover, the rating level depends on the firm financial and accounting characteristics.Second, we intend to understand the beneficial role of rating agencies on the financial markets. To answer this question, we analyzed the evolution of the information asymmetry and stock market liquidity around rating announcements.Our results show that positive announcements (respectively negative) lead to a decrease (respectively increase) of information asymmetry. We also found that positive and neutral announcements, unlike the negative ones, lead to a reduction of bid-ask spread and to an increase of transactions volumes. Both effects reflect higher (respectively lower) stock market liquidity when the announcements are positive or neutral (respectively negative).Finally, we focus on the study of the impact of rating announcements on analysts' forecasts. For this purpose, we studied the evolution of the analysts' forecasts dispersion and errors around rating announcements.Our results indicate an inverse relationship between the characteristics of financial analysts' forecasts and the nature of the rating announcement. Indeed, positive and neutral announcements reduce the error and the dispersion of analysts' forecasts.This research shows the informative content of rating announcements on the stock market and the real contribution of the announcements by improving financial communication.

Made available in DSpace on 2010-04-20T20:48:11Z (GMT). No. of bitstreams: 3 68472.pdf.jpg: 26974 bytes, checksum: 034a1c3c9d998708ccd9d2147b6ae400 (MD5) 68472.pdf: 1943638 bytes, checksum: 074240d8b8c6bdfa6dfcfb36d0dd4f75 (MD5) 68472.pdf.txt: 413719 bytes, checksum: bc028bb1f27dfc3f51effc0a0cdcb7af (MD5) Previous issue date: 2004-04-14T00:00:00Z / The main purpose of this thesis is to analyze the financial analysts of Brazilian firms. By gathering data from the market and analyzing the current performance of the firms, these professionals prepare earnings forecasts and stock recommendations. Using I/B/E/S database, it is presented a broad empirical research of the earnings forecasts and stock recommendations, as well as their information content for the Brazilian capital market. The empirical studies covered the period from January 1995 to June 2003. This thesis starts with the discussion of some concepts and the modus operandi of the financial analysts of Brazilian firms. After a literature review in the area, the empirical studies begin with the analysis of the earnings forecast errors. Some of their characteristics, such as accuracy, bias and precision are investigated in different contexts. After a critical analysis of the informational content for different types of earnings forecast revisions and actual announced earnings deviated form analysts expectations (earnings surprises), evidences of price effects in response to these facts are documented. The last part of this thesis discusses the role of stock recommendations in the Brazilian market. The percentage distribution of stock recommendations is verified as well as the informational content of stock recommendations. Other studies are carried out to verify the performance of the consensus stock recommendations and the effects of downgrades and upgrades of recommendations for Brazilian companies. / Esta tese propõe-se a analisar os analistas de mercado de capitais de empresas brasileiras. Coletando informações do mercado e analisando o desempenho corrente das empresas, estes profissionais realizam projeções de resultados e fazem recomendações. Usando dados extraídos do sistema I/B/E/S, realiza-se uma abrangente pesquisa empírica das previsões e recomendações dos analistas, bem como de seu conteúdo informativo para o mercado brasileiro. O período de estudo foi entre janeiro 1995 a junho 2003. Inicialmente são discutidos conceitos e particularidades do modus operandi dos analistas de empresas brasileiras. A seguir, depois de uma revisão da literatura onde se documentam as principais contribuições e descobertas, procede-se a uma investigação da natureza dos erros de previsão dos analistas de empresas brasileiras. Características como a acurácia, viés e precisão das previsões dos analistas são apreciadas e contextualizadas em diferentes situações. Efetua-se um detalhamento analítico do conteúdo informativo dos diferentes tipos de revisões de previsões dos analistas e das surpresas provocadas pelo anúncio de resultados em desacordo com as expectativas. De modo geral, as revisões e as surpresas, na medida em que informarem o mercado, provocam variações de retornos. Encerra-se a tese com uma análise das recomendações dos analistas. Apura-se a distribuição percentual das recomendações, assim como os efeitos sobre os preços de recomendações de compra (buy) e de venda(sell). O desempenho das recomendações de consenso e o efeito das revisões de recomendações para cima (upgrade) e para baixo (downgrade) são exemplos de outros pontos analisados.

Dans un contexte d’harmonisation comptable internationale visant à améliorer la qualité de l’information financière publiée par les groupes internationaux afin d’en assurer l’utilité, notre recherche doctorale a pour objet d’apporter une contribution à l’évaluation de l’utilité et de la comparabilité de l’information sectorielle. Cette recherche adopte une approche qualitative mono-sectorielle à travers l’étude du contenu des rapports de recommandation des analystes et des rapports annuels des grands groupes hôteliers internationaux, et une approche internationale à travers la comparaison des référentiels IAS/IFRS et US GAAP. Nous proposons en premier lieu d’étudier l’utilité de l’information sectorielle pour les analystes financiers à travers l’utilisation qu’ils en font dans leurs rapports et le lien de cette utilisation avec l’exactitude des prévisions qu’ils réalisent. Nous analysons ensuite l’évolution de la comparabilité de l’information sectorielle « normée » publiée par les groupes et la comparabilité de leurs pratiques de publication hors annexe. En raison de la diversité des pratiques de publication des firmes, l’utilité et la comparabilité de l’information sectorielle publiée par les groupes hôteliers internationaux demeurent perfectibles. / International accounting harmonization aims to improve financial reporting quality in order to enhance its usefulness. In this context, we study the usefulness and the comparability of segment information. Our research is mainly qualitative – analysis of annual reports and analysts’ reports contents - , hotel industry based and IAS/IFRS versus US GAAP focused. First, we address whether segment information is useful for financial analysts assessing usefulness through its use and its link with forecasts’ precision. Second, the research deals with the evolution of normalized segment information comparability and with the comparability of segment voluntary disclosures reported by international hotel groups. We find that, mainly because of the heterogeneity of disclosure practices, both usefulness and comparability of segment information remains incomplete and perfectible in the international hotel industry.