sdk.lusid.models.pricing_context.PricingContext

class PricingContext(**data)[source]

Pricing context node. In order to price an instrument a number of configuration parameters are required to determine which (a) pricing model (ranging from a simple lookup of a market quote/price through to a Monte-Carlo simulation for the behaviour of its cashflows) (b) vendor library (Lusid internal models or those provided through an external Vendor such as Refinitiv (proprietary) or QuantLib (open source) are used in the pricing. In conjunction with these there are a number of parameters that govern the behaviour of these models. For example, in pricing an Fx volatility dependent product such as an Fx option, there are various parameters that affect model behaviour for the smile. In Lusid a distinction is made between those which are understood natively and those which are only held for use with a given vendor-model combination. The problem is that, unlike market quote data, there are few standards around model descriptions. Hence, apparently similar terminology can be mis-leading; for example in SABR models where the basic parameters are agreed upon but most practical models have used an approximation with adjustments where the parameters can have wildly different meanings. To avoid confusion or mis-behaviour in this area, where parameters are not understood to be interchangeable, they are only settable on a per-library per-model basis, essentially as opaque data that will be given to the Vendor library “verbatim” but not used with any other. # noqa: E501

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

Attributes

This is a Pydantic class. For now, click on the green [source] link in the class signature above to see descriptions/allowed values for these attributes.