Correlations

Correlation Term Structure Type

DiffFusion.CorrelationTermstructure — Type

abstract type CorrelationTermstructure <: Termstructure end

An abstract correlation term structure that provides methods to calculate instantaneous correlations.

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DiffFusion.CorrelationHolder — Type

struct CorrelationHolder <: CorrelationTermstructure
    alias::String
    correlations::Dict{String, ModelValue}
    sep::String
    value_type::DataType
end

A container holding correlation values.

A CorrelationHolder allows to calculate correlation matrices based on String alias keys (identifiers).

value_type specifies the type of correlation entries. This ensures that all values are of consistent type. This feature is required for correlation sensitivity calculation.

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DiffFusion.correlation_holder — Function

correlation_holder(
    alias::String,
    correlations::Dict,
    sep::String = "<>",
    value_type::DataType = ModelValue,
    )

Create a CorrelationHolder object from dictionary.

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correlation_holder(
    alias::String,
    sep::String = "<>",
    value_type::DataType = ModelValue,
    )

Create an empty CorrelationHolder object.

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correlation_holder(m::AssetModel)

Return the correlation holder term structure.

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Return the model's CorrelationHolder.

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Functions

Call operator for CorrelationTermstructure is defined as

(ts::CorrelationTermstructure)(args...) = correlation(ts, args...)

DiffFusion.correlation — Function

correlation(ts::CorrelationTermstructure, alias1::String, alias2::String)

Return a scalar instantaneous correlation.

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correlation(ts::CorrelationTermstructure, aliases::AbstractVector{String})

Return a symmetric matrix of instantaneous correlations.

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correlation(ts::CorrelationTermstructure, aliases1::AbstractVector{String}, aliases2::AbstractVector{String})

Return a matrix of instantaneous correlations, each element of aliases1 versus each element of aliases2. The size of the resulting matrix is (length(aliases1), length(aliases2)).

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correlation(ts::CorrelationTermstructure, alias1::String, aliases2::AbstractVector{String})

Return an (1,N) matrix of instantaneous correlations.

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correlation(ts::CorrelationTermstructure, aliases1::AbstractVector{String}, alias2::String)

Return an (N, 1) matrix of instantaneous correlations.

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correlation(ch::CorrelationHolder, alias1::String, alias2::String)

Return a scalar instantaneous correlation.

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correlation(ch::CorrelationHolder, aliases1::AbstractVector{String}, aliases2::AbstractVector{String})

Return a matrix of instantaneous correlations, each element of aliases1 versus each element of aliases2. The size of the resulting matrix is (length(aliases1), length(aliases2)).

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correlation(ch::CorrelationHolder, aliases::AbstractVector{String})

Return a symmetric matrix of instantaneous correlations.

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DiffFusion.correlation_key — Function

correlation_key(ch::CorrelationHolder, alias1::String, alias2::String)

Derive the key for correlation dictionary from two aliases.

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DiffFusion.set_correlation! — Function

set_correlation!(
    ch::CorrelationHolder,
    alias1::String,
    alias2::String,
    value::ModelValue
    )

Insert a new correlation value into CorrelationHolder. If a correlation already exists it is overwritten.

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DiffFusion.get — Function

get(ch::CorrelationHolder, alias1::String, alias2::String)

Implement methodology to obtain a scalar correlation from a CorrelationHolder.

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