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Our consulting and services teams are experts in financial data, with practical experience in over 65 banking and buy-side implementations around the world.

From post-trade processing to independent price verification and stress testing, Asset Control provides insight-driven financial data management solutions for any application. A solid data sourcing and mastering process is combined with easy ways to distribute, integrate, discover and explore the data.

Asset Control’s provides a standard data model that tracks regulatory developments and keeps integration with content providers up to date. Its business rules capabilities can be used for risk factor classification, taxonomies, proxy management, risk factor preparation and eligibility tests

Asset Control’s provides a standard data model that tracks regulatory developments and keeps integration with content providers up to date. Its business rules capabilities can be used for risk factor classification, taxonomies, proxy management, risk factor preparation and eligibility tests

Products

Our range of products help financial organisations deliver high-quality reference, market and risk data to the people and applications that need it – on time, all the time

Meet the specific data requirements of risk management and new regulation

Providing award-winning data mastering engine with AC Plus

A comprehensive file management and scheduling system through AC Connect

The industries largest managed data lakes for seamless data acquisitions

The growth in data volumes and in data diversity coupled with increasingly data intensive jobs and reporting requirements mean firms need to improve their market data access and analytics capabilities.

Asset Control offers flexible integration options with a firm’s existing infrastructure for greater speed, scalability and performance

Services

Asset Control helps financial organisations deliver high-quality reference, market and risk data to the people and applications that need it – on time, all the time

Helping our customers succeed through client engagements while building personal connections

We are committed to empowering our customers to use our products to their full potential through our support services, individually tailored classroom-based training, easy-to-access e-learning modules and our state of the art Customer Portal.

Optimize operational costs and cost-effectively process change through using our AC PaSS managed data services.

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What is reference data anyway?

Reference data, sometimes referred to as ‘master data’ or ‘static data’, is fundamental to financial trading, with an estimated 70% of data used in financial transactions being reference data.

Reference data, sometimes referred to as ‘master data’ or ‘static data’, is fundamental to financial trading, with an estimated 70% of data used in financial transactions being reference data*.

Reference data encompasses a range of details such as a unique security number for the financial instrument or product being traded, the name of the buyer, seller, or any other party involved in the contract, and the costs involved in the trade. Reference data can become far more detailed however, sometimes including information regarding the complex conditions of the trade and facts about all the relevant parties involved.

Reference data provides information about three essential things:

  • Financial product information – this includes a security’s asset type, its symbolic identifiers and time-sensitive information such as maturity date
  • Entity information – information regarding the parties trading the financial product and other involved counterparties and financial institutions
  • Pricing information – financial product or instrument pricing, valuing these differently at different times

Reference data is also divisible into two essential types:

  • Static data – this type of data won’t change throughout the course of the transaction, and includes specifications such as the names of the parties contracted in the financial transaction (ie. ‘counterparties’) and those in the financial supply chain, as well as information related to the financial products involved, such as their expiration dates or type.
  • Dynamic data – information that changes throughout the course of the transaction, such as credit ratings or the pricing of the instrument at different times or at the close of the deal.

Practically speaking, reference data can be understood as boundary conditions required to undertake a transaction or trade in the financial arena, with correct data contributing to an environment for smooth transactional flow. Reference data is continuously being accessed and altered by systems linked to trading desks, risk departments, middle and back offices in financial institutions, with new data usually being added constantly throughout the trade.

Reference data and the problem of standardisation

The importance of clear and correct reference data in a financial transaction cannot be understated. A problem inherent to trading with reference data is that it tends to be sourced from a range of different places however, including sources internal to the financial institution, from counterparties and multiple commercial data sources.

New regulation such as FRTB and MiFID II are adding further complication, doubling down on standards for the identification of counterparties, trading venues and financial instruments throughout the course of a trade. Having incomplete, false or badly integrated reference data during a transaction can result in the failure of the transaction, a loss in capital and the additional expense of lost or further unnecessary labour for financial institutions processing the trade.

Where in the trade lifecycle that a fault is discovered is also crucial for limiting costs; the earlier an error is found and corrected, the less processing, time and labour is wasted in correcting that error. It’s always preferable to ensure the integrity of your data to avoid mistakes the first time around however.

* https://www.capgemini.com/resource-file-access/resource/pdf/Reference_Data_and_its_Role_in_Operational_Risk_Management.pdf

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