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Derivatives Reference Data

Derivatives reference data is information about expected future changes of price in trades and options. Investors and traders use derivatives reference data as a tool for hedging, speculating, and arbitraging. Datarade helps you find the best derivatives reference data feeds.

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Derivative Reference Data

by Exchange Data International
Receive up-to-date information on exchange traded futures and options. Use the derivative reference data file to efficiently identify any specific derivative contract in EDI's extensive database.
Country
USA
China
Japan
+ 30 others
Use CasePortfolio Valuation, Portfolio Management + 1 more
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Top Derivatives Reference Data Providers, Vendors, and Companies

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Based in United Kingdom

IHS Markit is a data provider offering Wearables Data, Pharma Data, Healthcare Marketing Data, Custom Audience Data, Solar Energy Data, Wind Power Data, Oil & Gas Data, Agricultural Data, Telemedic...

Based in United States of America

Intercontinental Exchange (ICE) is a data provider offering Corporate Actions Data, Securities Reference Data, Bond Pricing Data, Derivatives Reference Data, Currency Data, Commodity Data, Fixed In...

Based in United States of America

Nasdaq Market Data Feeds is a data provider offering Dividend Data, Corporate Actions Data, Derivatives Reference Data, Proprietary Market Data, Commodity Data, Fixed Income Data, ETF Data, Indices...

The Ultimate Guide to Derivatives Reference Data 2020

Learn everything about Derivatives Reference Data. Understand data sources, popular use cases, and data quality.

What is Derivatives Reference Data?

Derivatives reference data is a compilation of available derivatives contracts in the stock market. A derivatives contract is an agreement between parties about the derived value of financial assets, index, or security without actually giving ownership to the contract buyer. A derivative is used by investors to speculate a financial instrument’s future price and used to hedge other instruments. Derivatives reference data indicates the derivative’s price based on the underlying assets and determines the underlying security attached to the contract. 

How is Derivatives Reference Data collected?

Derivatives reference data is collected from different sources. These sources include the stock market, securities and exchange commissions, brokerage firms, online trading platforms, and financial news. These sources have different methods of collecting data. They get raw data from websites, online media, charts, statistics, financial information, traders, and expert opinions. Furthermore, the collected raw data is now analyzed, organized, and undergoes data filtering to derive useful and up-to-date derivatives reference data. This data is used to optimize trading portfolios.   

What are the typical attributes of Derivatives Reference Data?

Derivatives reference data has many attributes. Here are some of the most common:
Derivative contracts: refers to the reference of the agreed price of an underlying asset. These assets include equity securities, commodities, and options.   
Derivative trading value: refers to the value of derivatives from the start and end of day trading activities.
Financial ratios: refers to the analysis of the performance of a financial instrument.
 

What is Derivatives Reference Data used for?

Derivatives reference data is used to analyze and identify any specific derivative contracts in the market. The data is also used to speculate future prices and hedge risk, and it helps stabilize the economy and manage risk when used wisely. Investors and traders may use this data to speculate a high rise in a specific commodity price. This data can hedge risk by making contracts of a volatile commodities’ price into a fixed price. Traders also used this data to optimize their trading portfolios.

How can a user assess the quality of Derivatives Reference Data?

A high-quality derivatives reference dataset must have the following characteristics:
  • Accuracy of data: refers to relevant data that is up-to-date, clean, and updated regularly. The data must be free from any errors and be organized systematically.
• Consistent: refers to the consistency level of the providers. How often they update and clean their data? Is the source consistent when it comes to giving precise information?
• Authentic: refers to facts and reliable data. Derivative reference data must be dependable.

When buying datasets from data providers, make sure to read reviews, and ask for sample data to determine if it suits your business needs. 

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