1232SA24Q0167 - Statement of Work (Draft).pdf
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- Solicitation number
- 1232SA24Q0167
About this file
This document is a Statement of Work (SOW) for a federal contract opportunity to provide comprehensive historical data for agricultural products listed on the Dalian Commodity Exchange and Zhengzhou Commodity Exchange. The key objectives are to conduct in-depth analysis of the role of Chinese futures markets in influencing international prices, trade volumes, and price risk mitigation for soybeans and other commodities.
The SOW details the required deliverables, which include: comprehensive historical futures and options data, futures calendar spread calculations, historical cash market data, and technical support/training. The contract term is 1 year, and the work will be performed virtually with no travel required. The contracting agency is the USDA Economic Research Service (ERS), and a market survey is being conducted to determine if there are adequate small business, HUBZone, 8(a), women-owned, or service-disabled veteran-owned firms capable of meeting the requirements. Responses are due by 05 September 2024.
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Statement of Work Economic Research Service
Purchase of Comprehensive Historical Data
1.0 Organization and Background
U.S. Department of Agriculture (USDA) Economic Research Service (ERS) Market and Trade Economics Division (MTED) Address
The Economic Research Service is a Federal agency within the US Department of Agriculture (USDA). ERS provides agricultural economic research and policy services that address issues at the forefront of domestic and global concerns. Within ERS, the Market and Trade Economics Division (MTED) monitors, evaluates, and conducts research on domestic and foreign economic and policy factors affecting agricultural markets and trade.
ERS provides various products such as weekly newsletters, econometric research and projects such as the role of China’s futures markets in global commodity markets. ERS researchers required databases to assess dynamics in China. The database must have a database that provides descriptive information and preferably a 20-year history of institutional knowledge of Chinese markets.
2.0 Scope
ERS’s main objectives for this data purchase is to conduct in-depth analysis of the role of Chinese futures markets in influencing the formation of international prices, determination of volumes of international trade, and mitigating price risk of trade in soybeans and other commodities. Data will be used to evaluate the contribution of Chinese markets to international efforts led by USDA to assess transparency and efficiency of agricultural market information.
3.0 Deliverables
The contractor shall, but is not limited to, the following:
• Comprehensive historical data for agricultural products listed on the Dalian Commodity Exchange and Zhengzhou Commodity Exchange.
• Provide data for options products including implied volatility, trading volumes, and open interest.
• Futures calendar spread calculations based on heavily traded contracts
• Historical cash market data for major agricultural produces
• Database queries for assessment of basis levels.
• Technical support, documentation, and training for these products and services. This includes training webinars, and at ERS's discretion, training sessions at ERS.
Sitonia agrees this subscription will allow USDA to incorporate data provided by Sitonia in our data products and reports, and that the data can be freely used within the USDA environment to develop products. USDA will publish data products and reports derived from this data in a publicly-available format while citing Sitonia as the source.
3.0 Place of Performance
Virtual.
4.0 Period of Performance
Period of performance of this contract shall be completed within 1 year of contract award.
5.0 Security
The contractor(s) may be required to obtain a suitability determination through USDA/ERS. In addition, they shall complete all mandatory training (e.g., the privacy basis and security training) required of all with access to USDA/ERS networks and facilities.
6.0 Travel
No travel is expected, as this training will be conducted virtually.
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