A US-based asset manager wanted to enhance internal processes around capturing and storing market data, analytics and valuation models. Their investment portfolio included a variety of complex assets and derivatives, including credit, FX and various futures and swaps. These asset classes required a variety of input data, market data and model data such as volatilities, correlations, curves, spread curves and more complex datasets such as swaptions skews.
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Following a number of mergers and acquisitions, a UK-based asset manager was presented with the operational challenges of managing multiple systems within their data and application architecture. It initiated a programme of consolidation, not only to rationalise ongoing IT costs but also to ensure that its processes were more agile and it was able to respond more easily to future business requirements.
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. In this case study we look at how to configure workflows to meet the regulatory standards.
A global private investment firm had grown its asset portfolio both internally and externally through the acquisition of firms running similar portfolios. They identified the need to create a single reporting platform to enable the easy creation of reports without having to burden the individual businesses with building and supporting them, and to standardize the reporting process so that comparisons could be made across businesses and consolidations created wherever meaningful.
The trading arm of a large European energy company had a requirement for a centralised analytics and data management solution which could cope with changing business needs and provide a fast, highly flexible trading-decision support system. They needed a data management platform that could store specialised structures and associated high frequency data and allowed them to easily integrate their analytics.
The structured products market offers excellent opportunities for both investors and product structurers alike. However, many market participants have become overly reliant on bespoke technologies as opposed to enterprise grade structured products technology platforms. This paper provides an overview of the structured product market, as well as key challenges in supporting structured products (and OTC derivatives) technology.
This white paper outlines some of the key regulations and standards impacting investment manager operations. It details elements of the regulations that pertain to valuation control, as well as the calculation of performance and risk analytics, and suggests data management best practice for firms dealing with these challenges.
This paper summarises some of the key past, present and future regulatory initiatives that have prompted sell-side 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.
This paper describes the ‘fundamental’ nature of changes associated with the revised Basel III market risk capital framework and the broad set of data management challenges that firms will face as a result of the new framework.
This white paper establishes the key components of a “modern” EDM system. It outlines the principal drivers to EDM adoption within financial markets and the business outcomes firms are looking for, and then describes the features required to deliver these outcomes and how such a system satisfies the broader needs of the enterprise.
EDM systems have been widely implemented across the capital markets industry for a number of years. This white paper outlines areas in which key industry issues around enterprise data management can be effectively addressed using Xenomorph’s award-winning EDM solution.
Regulations such as BCBS 239 are forcing changes in the usage and governance of spreadsheets and other end-user computing (EUC) applications in financial markets. This paper outlines the main risks in spreadsheet usage in derivative and fixed income valuation, and explains some of the regulators motivations in addressing this source of operational risk.
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.