The Interrelationship Between Sugar Prices at the Main World Sugar Commodities Markets

Rumánková, Lenka; Smutka, Ĺuboš; Maitah, Mansoor; Benešová, Irena

doi:10.1007/s12355-019-00739-4

Cited by 7 publications

(6 citation statements)

References 40 publications

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“…American ethanol is largely derived from corn, whereas Brazilian ethanol comes almost entirely from sugarcane. Brazilian sugar, which like ethanol is also a by‐product of sugarcane, is already a consolidated commodity in the international market, and Brazil's influence in the formation of international sugar prices has already been covered extensively in the literature 6 . However, in relation to ethanol, the scenario is different, considering that it is a product that has been developed to a significant extent in Brazil and the USA only in recent decades.…”

Section: Introductionmentioning

confidence: 99%

Relationship between US and Brazilian ethanol prices: new evidence based on fractal regressions

Quintino

Cantarinha

Ferreira

2021

Biofuels Bioprod Bioref

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Two different fractal regression methodologies were employed with the aim of understanding the relationship between prices of ethanol produced in the USA and Brazil, the most important producers of ethanol. These methodologies, which have the advantage of giving us information about the relationships between different timescales, could also provide interesting and important information about this particular market. Our results suggest, first, some differences in the basic price in these markets, and second, a positive relationship between prices (as expected) but not a one‐to‐one relationship. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd

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Section: Introductionmentioning

confidence: 99%

Relationship between US and Brazilian ethanol prices: new evidence based on fractal regressions

Quintino

Cantarinha

Ferreira

2021

Biofuels Bioprod Bioref

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“…It is expected that their prices will have stronger convergence with each other, including in the short term, given that Brazil is the largest global supplier and, therefore, its supply has a significant impact on international prices (Amrouk and Heckelei 2020 ). Rumánková et al ( 2019 ) found evidence that the main international sugar prices, such as New York and London, despite their regional differences and technical specificities, have a significant interrelationship, with Brazil and India as key players in this interdependence due to their supply capabilities.…”

Section: Resultsmentioning

confidence: 99%

Exploring the potential of the carbon credit program for hedging energy prices in Brazil

Palazzi,

Quintino,

Ferreira

et al. 2024

Environ Sci Pollut Res

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The transition to a low-carbon economy is imperative to reduce reliance on fossil fuels and mitigate pollution emissions. This preposition also aligns with the United Nations Sustainable Development Goals (SDGs-13), which highlight the climate change action. In this vein, Brazil has implemented the Decarbonization Credit (CBIOS) program to incentivize biofuel production and promote environmental sustainability through carbon credit emissions. To this end, the present study evaluates the effectiveness of the CBIO contract as a hedging tool for investors in the face of energy price fluctuations and decarbonization efforts. Specifically, we employ conditional dynamic correlation (DCC-GARCH) and optimal hedge ratio (HR) techniques to assess the relationship between CBIO and the futures and spot prices of sugar, oil, and ethanol. Our findings suggest that the current CBIO contract is not an effective hedge against energy spot and future prices. However, our analysis identifies a strengthening correlation between ethanol traded in Chicago and CBIO over time, highlighting the potential for an underlying contract to serve as an effective hedging tool in the future. Our study adds to the existing literature on carbon pricing mechanisms and their impact on financial markets, emphasizing the importance of sustainable energy policies and their potential to mitigate the risks associated with energy price volatility and decarbonization efforts.

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“…Note that these countries are in the top ranking of the world's largest producers. Other factors influence the price, such as import rate and production volume control [8].…”

Section: Introductionmentioning

confidence: 99%

“…Another approach related to sugar price analysis is based on time series techniques [8,[18][19][20][21] . In this case, the policy simulation possibilities are relatively narrow, but allow us to use data at a much higher frequency level (e.g., daily) than partial or general equilibrium models.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Linear Models and Artificial Neural Networks for Sugar Price Prediction

Barchi,

dos Santos,

Bassetto

et al. 2024

FinTech

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Sugar is an important commodity that is used beyond the food industry. It can be produced from sugarcane and sugar beet, depending on the region. Prices worldwide differ due to high volatility, making it difficult to estimate their forecast. Thus, the present work aims to predict the prices of kilograms of sugar from four databases: the European Union, the United States, Brazil, and the world. To achieve this, linear methods from the Box and Jenkins family were employed, together with classic and new approaches of artificial neural networks: the feedforward Multilayer Perceptron and extreme learning machines, and the recurrent proposals Elman Network, Jordan Network, and Echo State Networks considering two reservoir designs. As performance metrics, the MAE and MSE were addressed. The results indicated that the neural models were more accurate than linear ones. In addition, the MLP and the Elman networks stood out as the winners.

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The Interrelationship Between Sugar Prices at the Main World Sugar Commodities Markets

Cited by 7 publications

References 40 publications

Relationship between US and Brazilian ethanol prices: new evidence based on fractal regressions

Relationship between US and Brazilian ethanol prices: new evidence based on fractal regressions

Exploring the potential of the carbon credit program for hedging energy prices in Brazil

Comparative Analysis of Linear Models and Artificial Neural Networks for Sugar Price Prediction

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