民國93年3月22日，我國期貨市場發生一開盤後隨即跌停，而後無量下跌，引發我國期貨市場產生流動性風險及系統性危機之事件，此事件本研究將之簡稱為「322事件」。本研究首先將透過時間的推進來說明引發322事件之原因、發生經過，以及在此次事件中，為何會引發我國期貨市場之流動性風險及系統性危機之主要原因。本研究發現主要是因為在3月20日總統大選前，大多數的期貨交易人均預期選後的股市會有一波漲幅，故過份建立期貨多頭部位，但是經過了3月19日的槍擊總統一案以及3月20日的選舉爭議，都讓民眾對未來充滿不確定性，以致在3月22日一開盤便委賣遠大於委買，期貨成交量萎縮，期貨交易人損失慘重，保證金嚴重不足，而引發流動性風險及系統性危機。 而後，期貨主管機關為因應金融自由化及國際化，目前正研擬開放多種店頭市場金融商品供期貨商自營操作，但開放後期貨商勢必將承擔更高之市場風險，主管機關應該如何因應成了開放前最重要之課題。資本適足率係主管機關在監理期貨商經營是否健全時的第一道防線，故本研究便建構一新模型，用以估算欲開放之新種金融商品的短期投資折扣率，本研究並以台指選擇權為例，透過本模型估算其最適之短期投資折扣率，結果與目前期貨交易所所規範之40％相去不遠。 最後，本研究提出數點建議，以期未來再度發生類似於322事件時，能夠降低我國期貨市場面臨之流動性風險及系統性危機。同時，也建議期貨主管機關未來在設算金融商品之短期投資折扣率時，能夠依循一具合理原則性之模型估算，避免未來當開放多種金融商品後，產生彼此間原則相抵觸之問題。 / In 2004, Taiwan’s future market suffered both serious liquidity risk and systematic risk. At March 22nd in 2004, the Taiwan Future Index fall down and touched the maximum limit－7% suddenly. The volume of future market was extremely low. This paper called this event as “322 event.” This paper has two parts. First the paper will illustrate the 322 event. What caused the 322 event? And how the 322 event happened? This paper will seek these answers. We found that the main reasons to cause the liquidity risk and systematic risk are too many investors bought futures. This was because they believed after the 2004 President election, the Taiwan’s stock market would rise to celebrate. At March 19th, the President Chen Shui-Bian encountered a shot murder. At March 20th, some serious dispute took place and made our society was full of insecurity. Investors began concern the stock market would be uncertain. They didn’t buy any futures like before, but in contrast they started to sell it. The another aspect in this paper is to construct a model. In order to follow up the liberalization and globalization, the government authority plans to open more derivatives for the futures corporations to invest. But how do the government authorities monitor these futures corporations becomes an important lesson. This paper will also seek the answers through constructing a model using VaR model to estimate the short-term investment discount ratio. Then this paper uses Taiwan Stock Option as an example examining whether the model is useful. The short-term investment discount ratio of the stock option by model is 40.89%. This outcome is much closed to 40%, the regulated discount ratio. Finally, this paper provides several advices in order to diminish the liquidity risk and systematic risk when futures market will suffer what similar to 322 event in the future. And this paper gives some information to supervisors about how to construct a model to estimate the short-term investment discount ratio so that the ratio is ensured following a logical principle.

Agriculture is of inestimable value to South Africa because it is a major source of job creation and plays a key role in earning foreign exchange. The most significant contribution of agriculture, and in particular maize, is its ability to provide food for the nation. For a number of decades government legislation determined prices, and as such the trade of grains on the futures exchange requires market participants to adapt to a volatile environment. The research focuses on the ability of market participants to effectively mitigate price volatility on the futures exchange through the use of derivative instruments, and the possibility of developing risk management strategies that will outperform the return offered by the market. The study shows that market participants are unable to use derivative instruments in such a way that price volatility is minimised. The findings of the study also indicate that the development of derivative risk management strategies could result in better returns than those offered by the market, mainly by exploiting trends on the futures market. / Financial Accounting / M. Comm. (Business Management)

Submitted by Thiago Winkler Alves (thiagowinkler@gmail.com) on 2014-09-04T13:34:50Z No. of bitstreams: 1 forecasting-daily-volatility.pdf: 885976 bytes, checksum: 30fb655def03c3f3e61bf930b3a3585b (MD5) / Approved for entry into archive by JOANA MARTORINI (joana.martorini@fgv.br) on 2014-09-04T13:44:59Z (GMT) No. of bitstreams: 1 forecasting-daily-volatility.pdf: 885976 bytes, checksum: 30fb655def03c3f3e61bf930b3a3585b (MD5) / Made available in DSpace on 2014-09-04T13:51:17Z (GMT). No. of bitstreams: 1 forecasting-daily-volatility.pdf: 885976 bytes, checksum: 30fb655def03c3f3e61bf930b3a3585b (MD5) Previous issue date: 2014-08-06 / Aiming at empirical findings, this work focuses on applying the HEAVY model for daily volatility with financial data from the Brazilian market. Quite similar to GARCH, this model seeks to harness high frequency data in order to achieve its objectives. Four variations of it were then implemented and their fit compared to GARCH equivalents, using metrics present in the literature. Results suggest that, in such a market, HEAVY does seem to specify daily volatility better, but not necessarily produces better predictions for it, what is, normally, the ultimate goal. The dataset used in this work consists of intraday trades of U.S. Dollar and Ibovespa future contracts from BM&FBovespa. / Objetivando resultados empíricos, este trabalho tem foco na eaplicação do modelo HEAVY para volatilidade diária com dados financeiros do mercado Brasileiro. Muito similar ao GARCH, este modelo busca explorar dados em alta frequência para atingir seus objetivos. Quatro variações dele foram então implementadas e seus ajustes comparadados a equivalentes GARCH, utilizando métricas presentes na literatura. Os resultados sugerem que, neste mercado, o HEAVY realmente parece especificar melhor a volatilidade diária, mas não necessariamente produz melhores previsões, o que, normalmente, é o objetivo final. A base de dados utilizada neste trabalho consite de negociações intradiárias de contratos futuros de dólares americanos e Ibovespa da BM&FBovespa.

O presente estudo visa analisar as operações de cross hedge dos preços do bezerro na Bolsa de Mercadorias & Futuros (BM&F). Para tanto, foram calculados o risco de base destas operações nas semanas de vencimento do contrato futuro de boi gordo, as razões de hedge ótimas e as respectivas efetividades, entre setembro de 1995 e fevereiro de 2001, nas principais praças de comercialização de gado bovino do País - Araçatuba (SP), Bauru/Marília (SP), São José do Rio Preto (SP), Presidente Prudente (SP), Três Lagoas (MG), Triângulo Mineiro (MG), Campo Grande (MS) e Noroeste do Paraná. Como forma de comparação, as mesmas análises foram realizadas para o hedge do boi gordo. O valor médio da base e o risco de base do hedge do boi gordo e do cross hedge do bezerro foram calculados nas semanas de vencimento dos 58 contratos futuros de boi gordo e análises econométricas foram realizadas. Nesta primeira etapa, foi possível observar os seguintes resultados: i) valor médio e variância da base do bezerro foram superiores à do boi gordo em todas as regiões; ii) o desvio padrão da base do boi gordo foi 80,67% inferior ao desvio padrão do bezerro; iii) o risco de base do boi gordo foi estatisticamente inferior nas regiões que compõem o Indicador de Preço Disponível do Boi Gordo – IBG, calculado pelo CEPEA/FEALQ; iv) o risco de base do bezerro não apresentou diferenças estatisticamente significativas entre as regiões. Em uma segunda etapa, o estudo buscou analisar as razões ótimas e a efetividade do hedge do boi gordo e do cross hedge do bezerro, conforme a metodologia de Myers & Thompson (1989). Tanto no cross hedge, como também no own hedge, as razões se mostraram elevadas - no primeiro caso esteve entre 37% e 49%, já no segundo variou entre 58% a 63%. Com relação à efetividade, constatou-se que no caso do own hedge, o risco de preço pode ser reduzido em cerca de 50% com a tomada de posição em contratos futuros de boi gordo na proporção de hedge ótima. No entanto, para o cross hedge, a efetividade foi bastante baixa para todas as regiões, de aproximadamente 1,5%. Se por um lado, a proteção contra os riscos de preço do boi gordo ocorre de forma eficiente, por outro lado a proteção contra movimentos adversos nos preços do bezerro possui baixa efetividade. Conclui-se, portanto, que os pecuaristas, os quais utilizam o preço do bezerro e a relação de troca entre boi gordo e bezerro para a decisão de venda do gado, não possuem um instrumento eficiente, nos mercados futuros, de proteção dos preços de sua atividade. / The aim of the present study is to analyze the cross hedge operation for calves in the BM&F future markets. The basis risk of these operations during the contract maturity weeks were calculated, as well as the optimal hedge ratios and the respective effectiveness. The period considered was September, 1995 to February, 2001, and the regions were chosen according to their importance in commercialization of bovine cattle: Araçatuba (SP), Bauru/Marília (SP), São José do Rio Preto (SP), Presidente Prudente (SP), Três Lagoas (MG), Triângulo Mineiro (MG), Campo Grande (MS) and Noroeste do Paraná. For the sake of comparisons, the same analyses were carried for the fed cattle hedge operations, in the same regions. The average value of the basis and the basis risk of fed cattle hedge and calf cross hedge was calculated for 58 future contracts, in the last week of contract life, and econometric analyses were performed. The main results arising from the preceding analyses can be pointed out: i) average basis value and basis risk of calf were higher than the values of fed cattle in all regions; ii) the basis standard deviation for fed cattle was 80,67% lower than for calf; iii) the regions comprised by IBG, calculated by the CEPEA/FEALQ, showed lower fed cattle basis risk compared to the other regions under study; iv) the calf basis risk in the regions studied did not present statistically significant differences. In a second stage, the study analyzed the optimal hedge ratio and the related effectiveness of own and cross hedge, according to the methodology proposed by Myers & Thompson (1989). The estimated hedge ratio was high in both cases, between 37% and 49% for the optimal hedge ratio and 58% to 63% for the cross hedge. The own hedge figures mean a 50% reduction in price risk when hedging at the optimal ratio, a value that drops consistently to about 1,5% for all regions when the cross hedge is considered. The main conclusion of the study is that the BM&F fed cattle future markets are quite effective as a price risk reduction strategy for the own hedge operations, but lack effectiveness in this sense for the calves cross hedge. Market agents trying to use the calf price and the exchange relation between fed cattle and calf prices for cattle selling decisions should not rely on this mechanism for price risk reductions.

Submitted by Odilon Jose de Oliveira Neto (professorodilon@yahoo.com.br) on 2013-09-27T20:34:42Z No. of bitstreams: 1 TESE_ODILON.pdf: 885119 bytes, checksum: 460d85982ff9b027e21ee9ef445337e1 (MD5) / Approved for entry into archive by Vera Lúcia Mourão (vera.mourao@fgv.br) on 2013-09-27T20:50:10Z (GMT) No. of bitstreams: 1 TESE_ODILON.pdf: 885119 bytes, checksum: 460d85982ff9b027e21ee9ef445337e1 (MD5) / Made available in DSpace on 2013-09-27T21:19:03Z (GMT). No. of bitstreams: 1 TESE_ODILON.pdf: 885119 bytes, checksum: 460d85982ff9b027e21ee9ef445337e1 (MD5) Previous issue date: 2013-09-20 / Several attempts of negotiation of future contracts and price indexes of beef cattle in Argentina and in Uruguay were frustrated along the years. The derivatives issued failed in a short period of time due to lack of liquidity. That scenery and other particularities of the live cattle spot market turned the administration of risk of prices into a problem for the economical agents of the meat chain. In this context, the following question emerged: the cross hedging with future contracts of Brazilian live cattle in the Brazilian Securities, Commodities and Futures Exchange (BM&FBovespa) is effective for the administration of risk of prices of beef steers in the Argentinian and Uruguayan spot market? In an effort to answer this question, it was proposed to verify if it is possible to mitigate the risk of the price volatility of the spot market of Argentinian and Uruguayan beef steers through of cross hedging in the futures market for Brazilian live cattle in the BM&FBovespa. For this, it was used static and dynamic models to estimate of the optimal cross hedge ratio and effectiveness of risk mitigation. The results of the hypothesis test of risk mitigating allow to assure that there are strong empirical evidences of effectiveness of the futures market of Brazilian live cattle in protection against the prices risk of the spot market of Argentinian and Uruguayan steers. Complementarily, it was analyzed the hypothesis of the futures market efficiency. The results present empirical evidence of a stochastic relationship common in long-term between spot and futures prices, and efficiency in predicting short-term price, which suggest that the future contracts of Brazilian live cattle in the BM&FBovespa allow adequate hedge of price for the Argentinian and Uruguayan steers in spot market. / Na Argentina e no Uruguai, diversas tentativas de negociação de contratos futuros e de índice de preços de carne bovina foram frustradas ao longo dos anos, tendo os derivativos lançados fracassado, em um curto espaço de tempo, por falta de liquidez. Esse cenário, somado a outras particularidades do mercado físico da carne bovina, torna o gerenciamento de risco de preços um problema para os agentes econômicos que atuam nessa cadeia produtiva. Nesse contexto, emergiu a seguinte questão: a proteção cruzada com contratos futuros de boi gordo brasileiro da Bolsa de Valores, Mercadorias e Futuros de São Paulo (BM&FBovespa) é efetiva para a administração do risco de preços dos novilhos de corte no mercado a vista argentino e uruguaio? Com a finalidade de responder a essa questão, propôs-se a verificar se é possível mitigar o risco da volatilidade de preços no mercado a vista dos novilhos de corte argentinos e uruguaios por meio do cross hedging no mercado futuro do boi gordo brasileiro na BM&FBovespa. Para tanto, foram utilizados modelos estáticos e dinâmicos de estimação da razão de cross hedge ótima e efetividade em mitigação do risco. Os resultados do teste de hipóteses de mitigação do risco permitiram assegurar que são fortes as evidências de efetividade do mercado futuro do boi gordo brasileiro na proteção contra o risco de preços do mercado a vista dos novilhos argentinos e uruguaios. Complementarmente, verificou-se a hipótese de eficiência do mercado futuro. Os resultados apresentaram evidências de um relacionamento estocástico comum no longo prazo entre os preços a vista e futuros, e de eficiência na predição dos preços no curto prazo, o que sugere que os contratos futuros de boi gordo brasileiro da BM&FBovespa permitem uma trava adequada de cotação-preço para os novilhos argentinos e uruguaios no mercado a vista.

La tentation est grande de proclamer qu’aujourd’hui toute imprévisibilité a disparu. Dès lors qu’un fait s’est produit, il semble rétrospectivement acquis qu’il était prévisible avant même sa réalisation. Puisque l’on doit s’attendre à tout, rien ne peut être considéré comme imprévisible ; ni une crise économique, ni une catastrophe naturelle, ni un simple accident, dont on sait qu’ils peuvent survenir à n’importe quel moment, frapper n’importe où et n’importe qui. L’imprévisibilité, privée de consistance et d’effets, se voit alors inexorablement écartée du domaine du droit.Pourtant, l’imprévisibilité demeure une réalité, dès lors que l’on est incapable de prévoir le moment, le lieu, l’intensité ou la victime du fait. Admettre l’existence de l’imprévisibilité sans renoncer à l’encadrer, voilà le défi qui est lancé au droit. Les moyens d’y répondre sont nombreux mais épars, et leur application souffre souvent d’une mauvaise identification de la notion. L’ambition de cette étude est de démontrer que l’imprévisibilité du fait innerve l’ensemble du droit privé contemporain, et de dessiner les contours de l’attitude de ce dernier à son égard. Une réception ordonnée et délimitée d’une imprévisibilité irréductible n’est à ce titre pas incompatible avec une attitude plus active du droit pour canaliser cette imprévisibilité. Identifier ses effets de droit, construire une définition, démontrer les ressorts et les possibilités de l’anticiper ou de la maintenir, tels sont les éléments indispensables à apporter à la réflexion juridique pour que le droit puisse faire face le plus sereinement possible à l’imprévisibilité d’un fait. / Nowadays, one could be tempted to state that the concept of unpredictability has disappeared. Indeed, if some event actually occurs, it is likely to be deemed predictable retrospectively, even before its taking place. As any event can occur, no event can be deemed unpredictable any longer : neither an economic crisis, nor natural disaster, nor the most banal accident. It is common knowledge that such events may occur at any time, strike anybody, anywhere. In this way, unpredictability is deprived of its legal purpose and effects and discarded by law. However, unpredictability remains a reality, when one is unable to foresee the moment, the place, the intensity or the victim caused by the event. The challenge laid down by law shall consist in recognizing the existence of unpredictability in order for law to be able to frame this concept. There are many ways to reach this goal, and the solutions and their implementation remain dispersed owing to the difficulty to clearly identifying the concept of unpredictability. The purpose of this study is to demonstrate that the notion of unpredictability invigorates the whole scope of contemporary private law, and to show how this concept shall be apprehended by law. A defined and specific implementation of the irreductible aspects of the concept of unpredictability by law will not be incompatible with a more active approach, in order for unpredictability to be captured by law. Identifying legal effects, creating a definition, demonstrating the means and the abilities to anticipate unpredictability or to maintain it, will remain essential steps in the legal constructing, so that law shall be able to face unpredictability serenely.

O objetivo de estudo desta dissertação é o desenvolvimento de um modelo de planejamento agregado da produção que apóie as decisões de nível gerencial e de diretoria das usinas de açúcar e álcool no que tange às variedades de cana colhidas em cada semana, às compras de cana-de-açúcar de terceiros, ao tipo de transporte (próprio ou terceirizado) a se utilizar em cada semana, ao total de cana moída por semana para atendimento da demanda e aos processos (industrial e comercial) que se devem escolher para produzir e comercializar açúcar e álcool. As decisões devem ocorrer em função de preços nos mercados interno, externo e mercado futuro, do fluxo de caixa da empresa, da capacidade da usina para armazenar açúcar e álcool e da possibilidade de uso de estoque de terceiros. As decisões por compra de cana, escolha de processos e venda de produtos são tomadas semanalmente num horizonte móvel de planejamento de 52 semanas, que inclui o tempo de safra no centro-sul do Brasil (meados de março a meados de dezembro, aproximadamente 36 semanas) mais o período de entressafra (aproximadamente 16 semanas, de meados de dezembro a meados de março). A procura por melhores estratégias de comercialização de tal forma a auxiliar a tomada de decisões é uma necessidade constante dos empresários do setor, que muitas vezes são surpreendidos pelas variações de preços de açúcar e álcool no mercado interno, externo e mercado futuro. Na parte comercial, este trabalho utiliza o método Delphi de previsão de preços de açúcar e álcool que balizam as tomadas de decisão no planejamento e controle da produção das usinas de açúcar e álcool. Define-se Hedge como a operação financeira de proteger determinado ativo de uma empresa contra variações inesperadas de preços. Neste trabalho, utiliza-se um modelo de escolha de mix de produto para Hedge vinculado à lucratividade e minimização de risco denominado Modelo de Semi- Variância com análise de cenários de Markowitz. Nas decisões relacionadas com as partes agrícola, industrial e comercial, faz-se uso de um modelo de programação linear inteira mista e para resolvê-lo utiliza-se o software de programação matemática LINGO e suas interfaces com a planilha eletrônica Excel. Nas decisões vinculadas ao mix ótimo para o Hedge em cada semana, faz-se uso de um modelo de programação quadrática resolvido pelo LINGO e suas interfaces com a planilha eletrônica Excel. Um estudo de caso foi realizado numa usina de açúcar e álcool no município de Junqueirópolis (SP) para validar o modelo proposto. / The objective of study this dissertation is to develop a model of aggregate production planning to support the decisions of management and board level of sugar and alcohol plants in regard to varieties of cane harvested each week, purchasing cane of nonsugar, the type of transport (own or outsourced) to use each week, the total cane processed per week for taking care of the demand and processes (industrial and commercial) and that must be chosen to produce and sell sugar and alcohol. Decisions must occur in terms of domestic, foreign and future market prices, the company\'s cash flow and the capacity to store sugar and alcohol and the possibility of using stock to third parties. Decisions about buying cane, choice of processes and products for sale are made in a weekly mobile planning horizon of 52 weeks, which includes the time of harvest in central-southern Brazil (mid-March to mid-December, approximately 36 weeks) plus the off-season (approximately 16 weeks, from mid-December to mid March). The demand for better marketing strategies to help such decision making is a constant need for entrepreneurs in the sector, which are often surprised by the changes in prices of sugar and alcohol in the internal, external and future market. In the commercial part, this study uses the Delphi method of forecasting the price of sugar and alcohol that guides the decision-making in planning and controlling the production of sugar and alcohol plants. Hedging is defined as a financial transaction to protect certain assets of a business against unexpected changes in prices. In this work, it is used a model of choice of product mix for Hedge linked to profitability and minimizing risk named Model of Semi-Variance analysis with scenarios of Markowitz. In decisions related to the agricultural, industrial and commercial parts it is used a type of mixed integer linear programming and to solve it is used the mathematical programming software LINGO and its interface with Excel spreadsheets. In decisions related to the optimal mix for Hedge in each week, is used a quadratic programming model solved by LINGO and its interface with Excel spreadsheets. A case study was conducted in a sugar mill and alcohol in the city of Junqueirópolis (SP) to validate the proposed model.

O objetivo de estudo desta dissertação é o desenvolvimento de um modelo de planejamento agregado da produção que apóie as decisões de nível gerencial e de diretoria das usinas de açúcar e álcool no que tange às variedades de cana colhidas em cada semana, às compras de cana-de-açúcar de terceiros, ao tipo de transporte (próprio ou terceirizado) a se utilizar em cada semana, ao total de cana moída por semana para atendimento da demanda e aos processos (industrial e comercial) que se devem escolher para produzir e comercializar açúcar e álcool. As decisões devem ocorrer em função de preços nos mercados interno, externo e mercado futuro, do fluxo de caixa da empresa, da capacidade da usina para armazenar açúcar e álcool e da possibilidade de uso de estoque de terceiros. As decisões por compra de cana, escolha de processos e venda de produtos são tomadas semanalmente num horizonte móvel de planejamento de 52 semanas, que inclui o tempo de safra no centro-sul do Brasil (meados de março a meados de dezembro, aproximadamente 36 semanas) mais o período de entressafra (aproximadamente 16 semanas, de meados de dezembro a meados de março). A procura por melhores estratégias de comercialização de tal forma a auxiliar a tomada de decisões é uma necessidade constante dos empresários do setor, que muitas vezes são surpreendidos pelas variações de preços de açúcar e álcool no mercado interno, externo e mercado futuro. Na parte comercial, este trabalho utiliza o método Delphi de previsão de preços de açúcar e álcool que balizam as tomadas de decisão no planejamento e controle da produção das usinas de açúcar e álcool. Define-se Hedge como a operação financeira de proteger determinado ativo de uma empresa contra variações inesperadas de preços. Neste trabalho, utiliza-se um modelo de escolha de mix de produto para Hedge vinculado à lucratividade e minimização de risco denominado Modelo de Semi- Variância com análise de cenários de Markowitz. Nas decisões relacionadas com as partes agrícola, industrial e comercial, faz-se uso de um modelo de programação linear inteira mista e para resolvê-lo utiliza-se o software de programação matemática LINGO e suas interfaces com a planilha eletrônica Excel. Nas decisões vinculadas ao mix ótimo para o Hedge em cada semana, faz-se uso de um modelo de programação quadrática resolvido pelo LINGO e suas interfaces com a planilha eletrônica Excel. Um estudo de caso foi realizado numa usina de açúcar e álcool no município de Junqueirópolis (SP) para validar o modelo proposto. / The objective of study this dissertation is to develop a model of aggregate production planning to support the decisions of management and board level of sugar and alcohol plants in regard to varieties of cane harvested each week, purchasing cane of nonsugar, the type of transport (own or outsourced) to use each week, the total cane processed per week for taking care of the demand and processes (industrial and commercial) and that must be chosen to produce and sell sugar and alcohol. Decisions must occur in terms of domestic, foreign and future market prices, the company\'s cash flow and the capacity to store sugar and alcohol and the possibility of using stock to third parties. Decisions about buying cane, choice of processes and products for sale are made in a weekly mobile planning horizon of 52 weeks, which includes the time of harvest in central-southern Brazil (mid-March to mid-December, approximately 36 weeks) plus the off-season (approximately 16 weeks, from mid-December to mid March). The demand for better marketing strategies to help such decision making is a constant need for entrepreneurs in the sector, which are often surprised by the changes in prices of sugar and alcohol in the internal, external and future market. In the commercial part, this study uses the Delphi method of forecasting the price of sugar and alcohol that guides the decision-making in planning and controlling the production of sugar and alcohol plants. Hedging is defined as a financial transaction to protect certain assets of a business against unexpected changes in prices. In this work, it is used a model of choice of product mix for Hedge linked to profitability and minimizing risk named Model of Semi-Variance analysis with scenarios of Markowitz. In decisions related to the agricultural, industrial and commercial parts it is used a type of mixed integer linear programming and to solve it is used the mathematical programming software LINGO and its interface with Excel spreadsheets. In decisions related to the optimal mix for Hedge in each week, is used a quadratic programming model solved by LINGO and its interface with Excel spreadsheets. A case study was conducted in a sugar mill and alcohol in the city of Junqueirópolis (SP) to validate the proposed model.

本系統係藉由分析歷史交易資料來預測S&P500期貨市場之漲幅。 我們改進了Tsaih et al. (1998)提出的混和式AI系統。 該系統結合了Rule Base 系統以及類神經網路作為其預測之機制。我們針對該系統在以下幾點進行改善：(1) 將原本的日期資料改為使用分鐘資料作為輸入。(2) 本研究採用了“移動視窗”的技術，在移動視窗的概念下，每一個視窗我們希望能夠在60分鐘內訓練完成。(3)在擴增了額外的變數 – VIX價格做為系統的輸入。(4) 由於運算量上升，因此本研究利用TensorFlow 以及GPU運算來改進系統之運作效能。 我們發現VIX變數確實可以改善系統之預測精準度，但訓練的時間雖然平均低於60分鐘，但仍有部分視窗的時間會小幅超過60分鐘。 / The system is made to predict the Futures’ trend through analyzing the transaction data in the past, and gives advices to the investors who are hesitating to make decisions. We improved the system proposed by Tsaih et al. (1998), which was called hybrid AI system. It was combined with rule-based system and artificial neural network system, which can give suggestions depends on the past data. We improved the hybrid system with the following aspects: (1) The index data are changed from daily-based in into the minute-based in this study. (2) The “moving-window” mechanism is adopted in this study. For each window, we hope we can finish training in 60 minutes. (3) There is one extra variable VIX, which is calculated by the VIX in this study. (4) Due to the more computation demand, TensorFlow and GPU computing is applied in our system. We discover that the VIX can obviously has positively influence of the predicting performance of our proposed system. The average training time is lower than 60 minutes, however, some of the windows still cost more than 60 minutes to train.