Editing Computational science (section)

=== Computational finance ===
{{main|Computational finance}}
In [[financial market]]s, huge volumes of interdependent assets are traded by a large number of interacting market participants in different locations and time zones. Their behavior is of unprecedented complexity and the characterization and measurement of the risk inherent to this highly diverse set of instruments is typically based on complicated [[Mathematical model|mathematical]] and [[computational model]]s. Solving these models exactly in closed form, even at a single instrument level, is typically not possible, and therefore we have to look for efficient [[numerical algorithm]]s. This has become even more urgent and complex recently, as the credit crisis{{Which|date=December 2021}} has clearly{{According to whom|date=December 2021}} demonstrated the role of cascading effects{{Which|date=December 2021}} going from single instruments through portfolios of single institutions to even the interconnected trading network. Understanding this requires a multi-scale and holistic approach where interdependent risk factors such as market, credit, and liquidity risk are modeled simultaneously and at different interconnected scales.{{Citation needed|date=December 2021}}