The success of a trading company's value chain relies heavily on modelling platforms that can perform an array of tasks such as developing forward curves and calculating risk sensitivities effectively. As a result, these models need to provide a set of generic, shared services which can be used to support any model-based process with speed and flexibility. However, complexities such as using disparate technologies, inadequate testing infrastructure, limited access to the right input data and inefficient use of time usually lead to problems with development. It is possible to design modelling platforms that can address all these issues. This white paper looks at the reasons why the trading industry relies on effective modelling platforms. Additionally, it highlights the difficulties that developers face and offers solutions to overcome the issues arise when designing and implementing these models.
More on Trading Systems
Sponsored video: Societe Generale
The theory of optimal trading under proportional transaction costs has been considered from a variety of perspectives. In this paper, Richard Martin shows that all results can be interpreted using a...
Lack of hysteria does not equal complacency, says securities regulator
Predicting equity and futures tick by tick price movements
Sign up for Risk.net email alerts
Sponsored webinar: IBM Risk Analytics
Nominated for two technology awards
Nominated for post trade technology award
Sponsored webinar: Collateral and counterparty tracking
There are no comments submitted yet. Do you have an interesting opinion? Then be the first to post a comment.