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.
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