Resources

Axpo UKCase Study

Axpo UK use TimeScape for their power trading operations in London. It assists them both in data storage and with the application of analytics and subsequent modelling of the data to assist in trading decisions.

Xenomorph Adds QuantLib Pricing Models to EDM+Press Release

London, New York, Cape Town– 9th of November, 2018 – Xenomorph has integrated the QuantLib open source library of pricing models into its EDM+ enterprise data management platform. The new development means EDM+ users can call QuantLib pricing engines from any of the user interfaces integrated with EDM+, including Microsoft Excel, programming APIs like Python, […]

Regulatory Drivers for Market Data Quality: Past, Present and FutureWhite Paper

This paper summarises some of the key past, present and future regulatory initiatives that have prompted firms to pay closer attention to market data quality. It also looks at the workflows, system and process requirements needed to support firms’ evolving obligations when it comes to data quality.

Xenomorph Launches Version 5.0 of TimeScape EDM+Press Release

Latest release offers faster and more scalable architecture, new functionality, improved GUI and data integration / distribution options.  NEW YORK AND LONDON –  Xenomorph, a provider of data management technology to banks, asset managers and insurance companies, has launched Version 5.0 of its flagship enterprise data management platform TimeScape EDM+. The new release offers a faster […]

Factsheet: TimeScape EDM+ for Independent Price Verification (IPV)Product Literature

Independent price verification (IPV) is an increasingly important process requirement to support finance and risk functions across a wide range of financial institutions. The core IPV process demands that internal prices are verified against independent third party sources.

Factsheet: TimeScape EDM+ for Prudent ValuationProduct Literature

Prudent valuation practices are becoming increasingly commonplace, prompted by edicts such as the European Union’s Capital Requirements Regulation. Rather than simply verifying the fair value of an asset (or accuracy of a model) by comparing it to an independent source, prudent valuation goes one step further and assumes the process of deriving fair value is sufficiently uncertain to warrant additional adjustments that reflect valuation risk.

IFRS 9 Data Management ChallengesWhite Paper

The mandatory adoption of IFRS 9 at the beginning of 2018 will cause a number of data management challenges for firms impacted and required to comply with the new accounting standards. This paper outlines some of these challenges, including the need to adopt a consistent approach to measuring expected credit losses, as well as accurately classifying assets and modelling hedging relationships.

Factsheet: MiFID II, MiFIR Data ManagementProduct Literature

The implementation of MiFID II and MiFIR may have been delayed by a year, but its impact has not been lessened. While MiFID focused principally on European equity markets, its sequel has a much broader remit. It threatens to have repercussions across OTC and exchange traded derivatives, fixed income securities and structured products, as well as commodities markets.

Factsheet: TimeScape EDM+ IFRS 9 Data Management SolutionProduct Literature

Mandatory adoption of IFRS 9 at the beginning of 2018 will prompt a number of data management challenges. Firms required to comply with the new accounting standards will need to pay particular attention to validating inputs and outputs of credit risk models, as financial statements become considerably more sensitive to credit quality. Furthermore, requirements to adopt a new classification schema for assets and liabilities and model hedging relationships will drive the need for consistent data and a collaborative approach across finance and risk management functions.

IFRS 9 Data Management: The Convergence of Finance and RiskBlog Post

This blog post by Xenomorph CEO Brian Sentance is entitled IFRS 9 Data Management: The Convergence of Finance and Risk and was originally published via Data Management Review. The siloed delivery of data and technology has evolved quite naturally in most financial institutions. Whether the split lies across business units, geographic boundaries, asset classes or job […]

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