Impactos Operacionais das Alterações no Contrato Futuro de Milho da BM&F-Bovespa na Mitigação de Risco

O mercado de milho possui importante participação no cenário agropecuário nacional, pela relevância dentro da indústria de carnes. Destacam-se as estratégias de comercialização do grão, em especial as relacionadas à mitigação do risco de preço com o uso de contratos futuros. Objetiva-se identificar e interpretar os efeitos causados pela modificação no contrato futuro do milho negociado na BM&F-Bovespa, que em setembro de 2008 passou de entrega física para liquidação financeira, sobre o desempenho do mercado futuro do grão comercializado. Avaliam-se a liquidez dos contratos, a volatilidade dos preços futuros e físico do milho, bem como a convergência da base. Identificaram-se como possíveis efeitos da alteração contratual o aumento da liquidez do contrato futuro de milho e a redução da volatilidade dos preços, além da melhoria na convergência da base. Os resultados alinham-se com a teoria e evidenciam impacto positivo da implementação da liquidação financeira no contrato futuro de milho.

Agricultural commodities pricing model applied to the Brazilian sugar market

This article suggests a pricing model for commodities used to produce biofuel. The model is based on the concept that the deterministic component of the Wiener process is not constant and depends on time and exogenous variables. The model, which incorporates theory of storage, the convenience yield and the seasonality of harvests, was applied in the Brazilian sugar market. After predictions were made with the Kalman filter, the model produced results that were statistically more accurate than those returned by the two-factor model available in the literature.

Discretionary-based disclosure: evidence from the Brazilian market

The primary objective of this paper is to identify the factors that explain Brazilian companies level of voluntary disclosure. Underpinning this work is the Discretionary-based Disclosure theory. The sample is composed of the top 100 largest non-financial companies listed in the Bolsa de Valores de São Paulo (Brazilian Securities, Commodities, and Futures exchange - BOVESPA). Information was gathered from Financial Statements for the years ending in 2006, 2007, and 2008, with the use of content analysis. A disclosure framework based on 27 studies from these years was created, with a total of 92 voluntary items divided into two dimensions: economic (43) and socio-environmental (49). Based on the existing literature, a total of 12 hypotheses were elaborated and tested using a panel data approach. Results evidence that: (a) Sector and Origin of Control are statistically significant in all three models tested: economic, socio-environmental, and total; (b) Profitability is relevant in the economic model and in the total model; (c) Tobin s Q is relevant in the socio-environmental model and in the total disclosure model; (d) Leverage and Auditing Firm are only relevant in the economic disclosure model; (e) Size, Governance, Stock Issuing, Growth Opportunities and Concentration of Control are not statistically significant in any of the three models.