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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 VaR
  • CrossGamma.Vector.PnL.VarExplain, intermediate measure of CrossGamma Taylor VaR
  • Delta.Vector.PnL.VarExplain, intermediate measure of Delta Taylor VaR
  • Gamma.Vector.PnL.VarExplain, intermediate measure of Gamma Taylor VaR
  • Vanna.Vector.PnL.VarExplain, intermediate measure of Vanna Taylor VaR
  • Vega.Vector.PnL.VarExplain, intermediate measure of Vega Taylor VaR
  • Volga.Vector.PnL.VarExplain, intermediate measure of Volga Taylor VaR
The PnL vector is used by the VaR measure with a confidence level defined by the VaRConfidenceLevel context value, using the VaR Interpolation method. The VaR metric is the worst PnL scenario at the selected quantile.

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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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:
  1. The Sub PnL Vector transformation to produce VaRSubVector.
  2. The FX Effect on VaR calculation to convert it to the display currency as VaRFXVector.
The resulting 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.

LEstimated trades