Price Methodology & Specifications

Mintec collects and curates price information following robust principles and parameters to ensure accuracy and consistency.

price data

 

Price Methodology & Specifications

Mintec collects and curates price information following robust principles and parameters to ensure accuracy and consistency.

price data

 

Expertise

Expertise

across +30 years 

        

               

data sources

+900 

leading data sources

        

               

Proprietary Prices

Proprietary 

 prices for specialist commodities

        

               

Millions

Millions

of prices annually

        

               

Rigorous

Rigorous

data standards

        

               

Robust

Robust

methodology and process

        

               

Accurate

Accurate

and efficient approach

Our Methodology

methodology icons-01

Expertise

ACROSS +30 YEARS

For over 30 years, Mintec has been collecting and curating prices across thousands of food and raw material commodities. This vast current and historical price database represents the most comprehensive insight into prices across the global food and commodity markets.

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+900

LEADING DATA SOURCES

Our published prices are independent and transparent, and we engage widely with the market as well as almost 1000 data providers and commodity exchanges globally. 

methodology icons-06-2

Proprietary

PRICES FOR SPECIALIST COMMODITIES

Our processes include data collection and proprietary price reporting. To find out about any or all, see our methodologies and data specification standard below.

methodology icons-03

Millions

OF PRICES ANNUALLY

Our published prices are independent and transparent, and we engage widely with the market as well as almost 1000 data providers and commodity exchanges globally. 

methodology icons-05

Robust

METHODOLOGY & PROCESS

The principles and practices we adopt reflect the complexities of the commodities and market we cover. We recognise the importance of bringing visibility to opaque markets, where clarity on prices is less accessible, to enable more confident buying decisions for all market participants. 

methodology icons-02

Accurate

& EFFICIENT APPROACH

Our approach incorporates a combination og advanced collection and quality contol systems utilising RPA and systematic algorithms. While simultaneously recognising the expereince and expertise of our people through timely interacting and analysis. 

methodology icons-01

Expertise

ACROSS +30 YEARS

For over 30 years, Mintec has been collecting and curating prices across thousands of food and raw material commodities. This vast current and historical price database represents the most comprehensive insight into prices across the global food and commodity markets.

methodology icons-06

+900

LEADING DATA SOURCES

Our published prices are independent and transparent, and we engage widely with the market as well as almost 1000 data providers and commodity exchanges globally. 

methodology icons-06-2

Proprietary

PRICES FOR SPECIALIST COMMODITIES

Our processes include data collection and proprietary price reporting. To find out about any or all, see our methodologies and data specification standard below.

methodology icons-03

Millions

OF PRICES ANNUALLY

Our published prices are independent and transparent, and we engage widely with the market as well as almost 1000 data providers and commodity exchanges globally. 

methodology icons-05

Robust

METHODOLOGY & PROCESS

The principles and practices we adopt reflect the complexities of the commodities and market we cover. We recognise the importance of bringing visibility to opaque markets, where clarity on prices is less accessible, to enable more confident buying decisions for all market participants. 

methodology icons-02

Accurate

& EFFICIENT APPROACH

Our approach incorporates a combination og advanced collection and quality contol systems utilising RPA and systematic algorithms. While simultaneously recognising the expereince and expertise of our people through timely interacting and analysis. 

 

Our Data Process

Collect icon for Mintec Global

COLLECT & CURATE

Asset 7-1

PROCESS

QC

QUALITY CHECK

Publish icon for Mintec Global

PUBLISH

collect

/01

Collect & Curate

Mintec has over 1,200 global data sources ranging from proprietary, private, trade, government, public-body and futures exchanges. Non-proprietary Mintec series are typically captured on an as-is basis from a source. In some instances, we apply calculations to adjust and normalise the data.

Process

/02

Process

Mintec receives price data continuously throughout the month. We typically update data as soon as it’s available, and our data publication schedules are set to daily, weekly, monthly, quarterly or annually. Data is captured either by automated scripts or manually by our knowledgeable teams of analysts and proprietary pricing experts.

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/03

Quality Check

Our commitment to high standards includes robust systems and processes that provide a 360-degree view of issues that could affect data quality. These new processes utilise Robotic Process Automation (RPA) techniques and other technologies to augment manual checking routines into fully automated programmatic scans of live data to spot and rectify anomalies more quickly and more effectively.

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/04

Publish

Almost 100% of our data is published using the latest technologies to automate the data capture, processing and quality control activities. These automated processes ensure that the prices we publish are consistent and accurate, as well as timely. As a result, our customers can be confident about the quality of our prices.

Mintec Benchmark Prices

Mintec Benchmark Prices 

Mintec’s proprietary prices, known as Mintec Benchmark Prices (MBP), have a strict methodology to ensure all published prices are representative of market value and bring unbiased transparency to the commodity world.


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Category Indicies

Mintec Category Indices 

The Mintec Category Indices (MCI) are created to measure changes in the price of a group of core food categories, and each one has been weighted based on the significance of each commodity included.


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