RegTech Insight Risk Technology The latest content from across the platform

Minimising Market Manipulation False Positives: The Trick is in the Data

The focus on market manipulation has probably never been higher. In the wake of the Financial Crisis of 2008, with its multiple market manipulation scandals, regulators have ratcheted up compliance requirements for firms. The media has also sharpened its focus – the cost of a controls failure in this area can be catastrophic in terms…

Post-trade ETD – where all the sticking plaster got used!

The fund management industry’s shift to passive funds and embrace of smart-beta funds over the past decade or so has shaved margins to the extreme. In this environment, operational efficiency becomes an existential issue. Across a broad swathe of asset classes, front-office technologies have kept pace with massive changes in market structure driven by regulation…

MiFID II: What’s Next?

With regulators indicating that they will enforce MiFID II in the second half of this year, how robust is your compliance solution? How ready is it to take on the oncoming requirements of the regulation? And to what extent do you need to review and renew systems to achieve a sustainable, industrialised and cost-efficient solution?…

MiFID II: Industrialising the Response Using UL BRIDGE

Many firms within the scope of Markets in Financial Instruments Directive II (MiFID II) struggled to meet the regulation’s deadline of January 3, 2018 and are now waking up to the fact that many of the processes put in place for implementation day are not sustainable. To achieve and maintain MiFID II compliance over time…

Regulatory Compliance: The Use of Twitter in Financial Services

Twitter has emerged as a source of market-moving information. But it’s difficult to get Twitter delivered to your trading desk, for a variety of reasons, ranging from concerns about market abuse, to the proliferation of fake news and the potential risk of reputational damage. By banning Twitter, trading firm management may be seeking to avoid…

Managing data for the Fundamental Review of the Trading Book (FRTB)

FRTB presents banks with a number of organisational, computational and data granularity challenges. These require firms to review the structure of their trading desks, adopt revised risk models, and source extensive data including 10-plus years of time-series data. This white paper, sponsored by Thomson Reuters and GoldenSource, details the regulation’s demand for additional data, examines…

Deriving True Business Value from the Global LEI

The Legal Entity Identifier (LEI) – the free-to-use entity identifier – has established itself as a viable standard for helping financial institutions identify unique business entities that are parties to financial transactions. But it’s widely accepted to have its limitations. In particular, a lack of standardization and ability to link to associated data sets is…

Navigating BCBS 239 and the New Stress-Testing Regime

Rigorous stress testing – and emerging regulations like Basel’s BCBS 239 – mean that the risk and finance functions can no longer act in isolation. Regulators are increasingly seeking a true, holistic view of risk. To deliver on the new requirement, banks need to reinvent their infrastructures and operating models, making sure all elements of…

Solvency II How Insurers, Asset Managers and Asset Servicers are Meeting the Data Challenge

The EU’s Solvency II regulation is due to come into effect in January 2016. Aimed at ensuring the insurance industry fully understands the risks associated with its investments, the regulation places great emphasis on access to highly granular valuations and risk information. For most insurers, this is the first time they have been required to…

BCBS 239: An Urgent Call to Overhaul Risk Data Management

BCBS 239 is a wide ranging regulation including 14 principles spanning risk data aggregation and reporting, IT infrastructure, and data governance. Implementation can provide significant business benefits, including an enterprise-wide view of risk, but the task is not without difficulties as banks face data management challenges such as data silos, legacy systems and poor data…