Perfil do crédito à pessoa jurídica no Brasil entre 1994 e 2007

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Um estudo sobre o mercado acionário: a abordagem tradicional vs. a abordagem complexa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Distribuição estatística de um indexo econômico em mercado emergente - Bolsa de valores de São Paulo (IBOVESPA)

Pós-graduação em Física - IGCE

Verificação e análise dos fatos estilizados no mercado de ações brasileiro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Previsão de séries temporais financeiras por meio de redes neurais dinâmicas e processos de transformação de dados: uma abordagem empírico-comparativa

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Aplicação de um sistema de Inferência Fuzzy de suporte à decisão para estimação de valores de ações cotadas na Bolsa de Valores de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estimativa do custo médio ponderado de capital em produtos agrícolas

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Construção de conhecimento em governança corporativa: estudo sobre a criação de valor para tomada de decisão de investidores no mercado de capitais

Pós-graduação em Ciência da Informação - FFC

Mercado de ações brasileiro: uma investigação empírica sobre suas relações de longo prazo e de precedência temporal pré-crise de 2008

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Estratégia de Investimento baseada em padrões descobertos por mineração de dados em séries históricas de preços diários do Indice IBOVESPA e das ações da PETROBRAS-PN (PETR4.SA)

With the increase of stakeholders and consequently increase of amount of nancial transaction the study of news investment strategies in the stock market with data mining techniques has been the target of important researches. It allows that great historical data base to be processed and analysed looking for pattern that can be used to take a decision in investments. With the idea of getting pro t more than the real indexs' gain, we propose a strategy method of transactions using rules built by algorithm classi cation. For that, diary historical data of Ibovespa index and Petrobras stocks are organized and processed to nding the most important attribute that act decisively when taking a investment decision.To test the accuracy of proposed rules, a non real portfolio management is created, showing the decisions' performance over the real index and stocks' performance. Following the proposed rules, the results show that the strategy of investment give me back a high return that Stock market's return. The exclusive characteristics of algorithms maximize the gain inside the analysed time allowing to determine the techniques' return and the number of the days necessary to double the initial investment. The best classi er applied on the time series and its use on the propose investments strategy will demand 104 days to double the initial capital

O saber experiencial na formação inicial de professores a partir das atividades de iniciação à docência no subprojeto de química do PIBID da Unesp de Araraquara

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

O Mercado de terras urbanas e seu papel na produção e transformação do espaço intraurbano em cidades médias: os Casos de Ribeirão Preto/SP e São Carlos/SP

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A importância do mercado de capitais: considerações das teorias econômica e financeira

This paper attempts to analyze and highlight the importance of the capital market for growth and economic development of the country, sustainable business growth and growth of the assets of an individual, as an alternative investment and financing. Were also examined the barriers to further growth of this market and relevant criticism about this. The study is guided from analyzes of economic and financial theories, concepts and fundamental principles for understanding the functioning of financial markets, even more specific, empirical analysis of the efficiency of markets and the stock market, in the context of Brazilian reality

O impacto da adesão aos diferentes níveis de Governança Corporativa para o desempenho econômico e financeiro de um segmento de empresas

The importance of the capital market to Brazilian economic development, linked to the the fragility of a theoretical framework on the issue, case for developing this research. The agents operating in the capital market seek security and confidence for decision making on their investment in that sense we seek to address the concept and values of Corporate Governance to pay in the Brazilian capital market. The Corporate Governance, in its essence, is the system by which companies are directed and monitored, involving the relationship between shareholders and the board of companies, as well as a set of mechanisms and factors intended to minimize market failures. Seeking to confirm adherence to a more advanced system of corporate governance can result in a favorable financial performance, companies were investigated operating in the financial sector (intermediation, various services and insurance), listed by BM&FBOVESPA. The stock market ranks the corporate governance systems in three levels: Level 1 (rudimentary), Level 2 (intermediate) and New Market Level (advanced). To earn the impact of different levels of Corporate Governance for the outcome of the selected companies were calculated and analyzed accounting ratios of profitability, capital structure and liquidity from the Standardized Financial Statements (DFP), base year 2011, 2012 and 2013

Estudo e análise estatística no mercado de ações brasileiro

The objective of this paper is to verify and analyze the existence in Brazil of stylized facts observed in financial time series: volatility clustering, probability distributions with fat tails, the presence of long run memory in absolute return time series, absence of linear return autocorrelation, gain/loss asymmetry, aggregative gaussianity, slow absolute return autocorrelation decay, trading volume/volatility correlation and leverage effect. We analyzed intraday prices for 10 stocks traded at the BM&FBovespa, responsible for 52.1% of the Ibovespa portfolio on Sept. 01, 2009. The data analysis confirms the stylized facts, whose behavior is consistent with what is observed in international markets.