From Data to Decisions: Leveraging Contextual Views for Better Valuation Risk Assessment

Valuation and product control teams currently face significant challenges in managing and analyzing their OTC derivative data. They must spend substantial resources on data consolidation and data wrangling in order to understand, compare, and contextualize their pricing, positions, and risk.

The overall process is further complicated by the need to manually move data between disparate platforms, leading to errors and inconsistencies. These labor-intensive workflows detract from operational efficiency and make it difficult to maintain accuracy in risk assessments and pricing decisions.

Additionally, the lack of transparency in pricing models and insights further burdens analysts who need to justify their calculations to stakeholders. Regular tasks like identifying outliers, conducting investigations, and documenting errors are time-consuming and error-prone, increasing the risk of mispricing and potential regulatory penalties.

To address these inefficiencies, firms need a risk solution that provides a holistic, contextual understanding of their data by consolidating information, enhancing visibility, streamlining processes, and delivering reliable and actionable insights.

To read the rest of this article, please visit the PeerNova Valuation Risk Resources page: From Data to Decisions: Leveraging Contextual Views for Better Valuation Risk Assessment