Taylor VaR
Taylor VaR
The following vectors are combined to calculate the
pnl.for.var.explain vector:
Correlation.Vector.PnL.VarExplain, intermediate measure of Correlation Taylor VaRCrossGamma.Vector.PnL.VarExplain, intermediate measure of CrossGamma Taylor VaRDelta.Vector.PnL.VarExplain, intermediate measure of Delta Taylor VaRGamma.Vector.PnL.VarExplain, intermediate measure of Gamma Taylor VaRVanna.Vector.PnL.VarExplain, intermediate measure of Vanna Taylor VaRVega.Vector.PnL.VarExplain, intermediate measure of Vega Taylor VaRVolga.Vector.PnL.VarExplain, intermediate measure of Volga Taylor VaR
VaR and Weighted VaR
Distribution
PnL distribution — See also: Percentile
PnL accumulated distribution — See also: Percentile
Component
DtD
DtD % difference
Previous
Scenario name(s)
All measures in this section output a string.
Values
All measures in this section output a string.
With % difference
All measures in this section output a string.
Booking
Incremental booking
Weighted VaR Incremental Booking
The sum of the
PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its drill-up value along the BookHierarchy hierarchy. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a confidence level defined by the VaRConfidenceLevel context value and the WeightedVaRLambda decay factor, using the VaR Interpolation method.
Weighted VaR 97.5 Incremental Booking
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its drill-up value along the BookHierarchy hierarchy. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a 97.5% confidence level, using the VaR Interpolation method.
Weighted VaR 99 Incremental Booking
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its drill-up value along the BookHierarchy hierarchy. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a 99% confidence level, using the VaR Interpolation method.
LEstimated booking
Reference level
Component reference level
Component delta reference level
Incremental reference level
VaR Incremental Reference Level
The sum of the
PnLVector field of the TradePnLs store is used to compute the var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its value at the level defined by the ReferenceLevel context value. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a VaR measure with a confidence level defined by the VaRConfidenceLevel context value, using the VaR Interpolation method.
Weighted VaR Incremental Reference Level
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its value at the level defined by the ReferenceLevel context value. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a confidence level defined by the VaRConfidenceLevel context value and the WeightedVaRLambda decay factor, using the VaR Interpolation method.
Weighted VaR 97.5 Incremental Reference Level
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its value at the level defined by the ReferenceLevel context value. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a 97.5% confidence level, using the VaR Interpolation method.
Weighted VaR 99 Incremental Reference Level
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its value at the level defined by the ReferenceLevel context value. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a 99% confidence level, using the VaR Interpolation method.
LEstimated reference level
Top
Component top
Component delta top
Incremental top
VaR Incremental Top
The sum of the
PnLVector field of the TradePnLs store is used to compute the var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its value at the grand total location. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a VaR measure with a confidence level defined by the VaRConfidenceLevel context value, using the VaR Interpolation method.
Weighted VaR Incremental Top
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its value at the grand total location. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a confidence level defined by the VaRConfidenceLevel context value and the WeightedVaRLambda decay factor, using the VaR Interpolation method.
Weighted VaR 97.5 Incremental Top
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its value at the grand total location. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a 97.5% confidence level, using the VaR Interpolation method.
Weighted VaR 99 Incremental Top
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its value at the grand total location. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a 99% confidence level, using the VaR Interpolation method.
LEstimated top
Trades
Component trades
Component delta trades
Incremental trades
VaR does not have an Incremental Trades measure. This section covers VaR 97.5, VaR 99, and all Weighted VaR variants.
Weighted VaR Incremental Trades
The sum of the
PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its drill-up value along the Trades hierarchy. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a confidence level defined by the VaRConfidenceLevel context value and the WeightedVaRLambda decay factor, using the VaR Interpolation method.
Weighted VaR 97.5 Incremental Trades
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its drill-up value along the Trades hierarchy. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a 97.5% confidence level, using the VaR Interpolation method.
Weighted VaR 99 Incremental Trades
The sum of the PnLVector field of the TradePnLs store is used to compute the weighted var with two more steps:
- The Sub PnL Vector transformation to produce
VaRSubVector. - The FX Effect on VaR calculation to convert it to the display currency as
VaRFXVector.
VaRFXVector is compared to its drill-up value along the Trades hierarchy. The Incremental Measures algorithm is used as the comparator. The compared value is displayed as a Weighted VaR measure with a 99% confidence level, using the VaR Interpolation method.