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Documentation Index

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Taylor VaR

MeasureDescriptionRelevant context values
Taylor VaRValue at Risk with contextual confidence levelVaRConfidenceLevel
VaR officialThe official VaR aggregated between repriced deals and deals taken with Taylor VaR.
VaR unexplainedVaR unexplained.
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

MeasureDescriptionRelevant context values
VaRValue-at-RiskVaRConfidenceLevel
VaR 97.5VaR at 97.5% confidence level
VaR 99VaR at 99% confidence level
Parametric VaRParametric Value-at-RiskVaRConfidenceLevel
Weighted VaRThe Weighted variation of the VaR measure. Please refer to the WHS calculations chapterVaRConfidenceLevel, WeightedVaRLambda
Weighted VaR 97.5The Weighted variation of the VaR measure at 97.5% confidence level. Please refer to the WHS calculations chapterWeightedVaRLambda
Weighted VaR 99The Weighted variation of the VaR measure at 99% confidence level. Please refer to the WHS calculations chapterWeightedVaRLambda

Distribution

MeasureDescriptionRelevant context valuesHierarchies required in the view
AverageAverage of simulated PL values
Standard deviationStandard devation of simulated PL values
PnL distributionEmpirical distribution (in the sense of ‘probasbility distribution’) on the PnL values within the PnL vectorPercentileBucketsPercentile
PnL accumulated distributionCumulative empirical distribution (in the sense of ‘probability distribution’) on the PnL values within the PnL vectorPercentileBucketsPercentile
PnL distribution — See also: Percentile PnL accumulated distribution — See also: Percentile

Component

MeasureDescriptionRelated methodologies
VaR Component BookHierarchyComponent variation of the VaR along the BookHierarchy. Please refer to the Component measures chapterComponent
VaR Component BookingComponent variation of the VaR along the Booking Hierarchy. Please refer to the Component measures chapterComponent
VaR Component Delta BookHierarchyComponent variation of the VaR daily change along the BookHierarchy. Please refer to the Component measures chapterComponent
VaR Component Delta BookingComponent variation of the VaR daily change along the Booking Hierarchy. Please refer to the Component measures chapterComponent
VaR 97.5 Component BookHierarchyComponent variation of the VaR 97.5 along the BookHierarchy. Please refer to the Component measures chapterComponent
VaR 97.5 Component BookingComponent variation of the VaR 97.5 along the Booking Hierarchy. Please refer to the Component measures chapterComponent
VaR 97.5 Component Delta BookHierarchyComponent variation of the VaR 97.5 daily change along the BookHierarchy. Please refer to the Component measures chapterComponent
VaR 97.5 Component Delta BookingComponent variation of the VaR 97.5 daily change along the Booking Hierarchy. Please refer to the Component measures chapterComponent
VaR 99 Component BookHierarchyComponent variation of the VaR 99 along the BookHierarchy. Please refer to the Component measures chapterComponent
VaR 99 Component BookingComponent variation of the VaR 99 along the Booking Hierarchy. Please refer to the Component measures chapterComponent
VaR 99 Component Delta BookHierarchyComponent variation of the VaR 99 daily change along the BookHierarchy. Please refer to the Component measures chapterComponent
VaR 99 Component Delta BookingComponent variation of the VaR 99 daily change along the Booking Hierarchy. Please refer to the Component measures chapterComponent

DtD

MeasureDescriptionRelevant context values
VaR DtDChange of VaR from one day to another. By default DtD.VaRConfidenceLevel
VaR 97.5 DtDChange of VaR 97.5 from one day to another. By default DtD.
VaR 99 DtDChange of VaR 99 from one day to another. By default DtD.
Weighted VaR DtDChange of Weighted VaR from one day to another. By default DtD.VaRConfidenceLevel, WeightedVaRLambda
Weighted VaR 97.5 DtDChange of Weighted VaR from one day to another at 97.5% confidence level. By default DtD.WeightedVaRLambda
Weighted VaR 99 DtDChange of Weighted VaR from one day to another at 99% confidence level. By default DtD.WeightedVaRLambda

DtD % difference

MeasureDescriptionRelevant context values
VaR DtD % DifferencePercentage change of VaR from one day to another. By default DtD.VaRConfidenceLevel
VaR 97.5 DtD % DifferencePercentage change of VaR 97.5 from one day to another. By default DtD.VaRConfidenceLevel
VaR 99 DtD % DifferencePercentage change of VaR 99 from one day to another. By default DtD.VaRConfidenceLevel
Weighted VaR DtD % DifferencePercentage change of Weighted VaR from one day to another. By default DtD.VaRConfidenceLevel, WeightedVaRLambda
Weighted VaR 97.5 DtD % DifferencePercentage change of Weighted VaR from one day to another at 97.5% confidence level. By default DtD.WeightedVaRLambda
Weighted VaR 99 DtD % DifferencePercentage change of Weighted VaR from one day to another at 99% confidence level. By default DtD.WeightedVaRLambda

Previous

MeasureDescriptionRelevant context values
VaR PreviousValue-at-Risk for the previous day.VaRConfidenceLevel
VaR 97.5 PreviousValue-at-Risk for the previous day at 97.5% confidence level.VaRConfidenceLevel
VaR 99 PreviousValue-at-Risk for the previous day at 99% confidence level.VaRConfidenceLevel
Weighted VaR PreviousThe Weighted VaR of the previous dayVaRConfidenceLevel, WeightedVaRLambda
Weighted VaR 97.5 PreviousThe Weighted VaR of the previous day at 97.5% confidence levelWeightedVaRLambda
Weighted VaR 99 PreviousThe Weighted VaR of the previous day at 99% confidence levelWeightedVaRLambda

Scenario name(s)

All measures in this section output a string.
MeasureDescriptionRelevant context values
VaR Scenario Name(s)List of scenario names contributing to the VaR calculationVaRConfidenceLevel
VaR 97.5 Scenario Name(s)List of scenario names contributing to the VaR 97.5 calculation
VaR 99 Scenario Name(s)List of scenario names contributing to the VaR 99 calculation
Weighted VaR Scenario Name(s)Scenarios that contribute to the weighted VaR.VaRConfidenceLevel, WeightedVaRLambda
Weighted VaR 97.5 Scenario Name(s)Scenarios that contribute to the weighted VaR at 97.5% confidence level.WeightedVaRLambda
Weighted VaR 99 Scenario Name(s)Scenarios that contribute to the weighted VaR at 99% confidence level.WeightedVaRLambda

Values

All measures in this section output a string.
MeasureDescriptionRelevant context values
VaR ValuesPnL values that contribute to the VaR.VaRConfidenceLevel
Weighted VaR ValuesPnL values that contribute to the weighted VaR.VaRConfidenceLevel
Weighted VaR 97.5 ValuesPnL values that contribute to the weighted VaR at 97.5% confidence level.
Weighted VaR 99 ValuesPnL values that contribute to the weighted VaR at 99% confidence level.

With % difference

All measures in this section output a string.
MeasureDescriptionRelevant context values
VaR with % DifferenceVaR with percentage difference in brackets.VaRConfidenceLevel
VaR 97.5 with % DifferenceVaR 97.5 with percentage difference in brackets.VaRConfidenceLevel
VaR 99 with % DifferenceVaR 99 with percentage difference in brackets.VaRConfidenceLevel
Weighted VaR with % DifferenceWeighted VaR with percentage difference in brackets.VaRConfidenceLevel, WeightedVaRLambda
Weighted VaR 97.5 with % DifferenceWeighted VaR with percentage difference in brackets at 97.5% confidence level.WeightedVaRLambda
Weighted VaR 99 with % DifferenceWeighted VaR with percentage difference in brackets at 99% confidence level.WeightedVaRLambda

Booking

Incremental booking

MeasureDescriptionRelated methodologiesRelevant context valuesRequired hierarchies
VaR Incremental BookingIncremental variation of the VaR that computes the contribution of the nodes along the BookHierarchy. Refer to the Incremental Measures chapterIncrementalVaRConfidenceLevelBookHierarchy
VaR 97.5 Incremental BookingIncremental variation of the VaR 97.5 that computes the contribution of the nodes along the BookHierarchy. Refer to the Incremental Measures chapterIncrementalBookHierarchy
VaR 99 Incremental BookingIncremental variation of the VaR 99 that computes the contribution of the nodes along the BookHierarchy. Refer to the Incremental Measures chapterIncrementalBookHierarchy
Weighted VaR Incremental BookingIncremental variation of the Weighted VaR that computes the contribution of the nodes along the BookHierarchy. Refer to the Incremental Measures chapterIncrementalVaRConfidenceLevel, WeightedVaRLambdaBookHierarchy
Weighted VaR 97.5 Incremental BookingIncremental variation of the Weighted VaR 97.5 that computes the contribution of the nodes along the BookHierarchy. Refer to the Incremental Measures chapterIncrementalWeightedVaRLambdaBookHierarchy
Weighted VaR 99 Incremental BookingIncremental variation of the Weighted VaR 99 that computes the contribution of the nodes along the BookHierarchy. Refer to the Incremental Measures chapterIncrementalWeightedVaRLambdaBookHierarchy
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

MeasureDescriptionRelated methodologies
VaR LEstimated BookingContribution of the upper Booking of Value at RiskLestimated
VaR 97.5 LEstimated BookingContribution of the upper Booking of VaR 97.5Lestimated
VaR 99 LEstimated BookingContribution of the upper Booking of VaR 99Lestimated
Weighted VaR LEstimated BookingContribution of the upper Booking of Weighted Value at RiskLestimated
Weighted VaR 97.5 LEstimated BookingContribution of the upper Booking of Weighted VaR 97.5Lestimated
Weighted VaR 99 LEstimated BookingContribution of the upper Booking of Weighted VaR 99Lestimated

Reference level

Component reference level

MeasureDescription
VaR Component Reference LevelComponent explanation of the upper Reference Level of Value at Risk
VaR 97.5 Component Reference LevelComponent explanation of the upper Reference Level of VaR 97.5
VaR 99 Component Reference LevelComponent explanation of the upper Reference Level of VaR 99

Component delta reference level

MeasureDescription
VaR Component Delta Reference LevelComponent DtD explanation of the upper Reference Level of Value at Risk
VaR 97.5 Component Delta Reference LevelComponent DtD explanation of the upper Reference Level of VaR 97.5
VaR 99 Component Delta Reference LevelComponent DtD explanation of the upper Reference Level of VaR 99

Incremental reference level

MeasureDescriptionRelated methodologiesRelevant context values
VaR Incremental Reference LevelIncremental variation of the VaR. Please refer to the Incremental Measures chapter linked below.IncrementalVaRConfidenceLevel, ReferenceLevel
VaR 97.5 Incremental Reference LevelIncremental variation of the VaR 97.5. Please refer to the Incremental Measures chapter linked below.IncrementalReferenceLevel
VaR 99 Incremental Reference LevelIncremental variation of the VaR 99. Please refer to the Incremental Measures chapter linked below.IncrementalReferenceLevel
Weighted VaR Incremental Reference LevelIncremental variation of the Weighted VaR. Please refer to the Incremental Measures chapter linked below.IncrementalVaRConfidenceLevel, WeightedVaRLambda, ReferenceLevel
Weighted VaR 97.5 Incremental Reference LevelIncremental variation of the Weighted VaR 97.5. Please refer to the Incremental Measures chapter linked below.IncrementalWeightedVaRLambda, ReferenceLevel
Weighted VaR 99 Incremental Reference LevelIncremental variation of the Weighted VaR 99. Please refer to the Incremental Measures chapter linked below.IncrementalWeightedVaRLambda, ReferenceLevel
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

MeasureDescriptionRelated methodologies
VaR LEstimated Reference LevelContribution of the upper Reference Level of Value at RiskLestimated
VaR 97.5 LEstimated Reference LevelContribution of the upper Reference Level of VaR 97.5Lestimated
VaR 99 LEstimated Reference LevelContribution of the upper Reference Level of VaR 99Lestimated
Weighted VaR LEstimated Reference LevelContribution of the upper Reference Level of Weighted Value at RiskLestimated
Weighted VaR 97.5 LEstimated Reference LevelContribution of the upper Reference Level of Weighted VaR 97.5Lestimated
Weighted VaR 99 LEstimated Reference LevelContribution of the upper Reference Level of Weighted VaR 99Lestimated

Top

Component top

MeasureDescription
VaR Component TopComponent explanation of the upper Top of Value at Risk
VaR 97.5 Component TopComponent explanation of the upper Top of VaR 97.5
VaR 99 Component TopComponent explanation of the upper Top of VaR 99

Component delta top

MeasureDescription
VaR Component Delta TopComponent DtD explanation of the upper Top of Value at Risk
VaR 97.5 Component Delta TopComponent DtD explanation of the upper Top of VaR 97.5
VaR 99 Component Delta TopComponent DtD explanation of the upper Top of VaR 99

Incremental top

MeasureDescriptionRelated methodologiesRelevant context values
VaR Incremental TopIncremental variation of the VaR. Please refer to the Incremental Measures chapter linked below.IncrementalVaRConfidenceLevel
VaR 97.5 Incremental TopIncremental variation of the VaR 97.5. Please refer to the Incremental Measures chapter linked below.Incremental
VaR 99 Incremental TopIncremental variation of the VaR 99. Please refer to the Incremental Measures chapter linked below.Incremental
Weighted VaR Incremental TopIncremental variation of the Weighted VaR. Please refer to the Incremental Measures chapter linked below.IncrementalVaRConfidenceLevel, WeightedVaRLambda
Weighted VaR 97.5 Incremental TopIncremental variation of the Weighted VaR 97.5. Please refer to the Incremental Measures chapter linked below.IncrementalWeightedVaRLambda
Weighted VaR 99 Incremental TopIncremental variation of the Weighted VaR 99. Please refer to the Incremental Measures chapter linked below.IncrementalWeightedVaRLambda
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

MeasureDescriptionRelated methodologies
VaR LEstimated TopContribution of the upper Top of Value at RiskLestimated
VaR 97.5 LEstimated TopContribution of the upper Top of VaR 97.5Lestimated
VaR 99 LEstimated TopContribution of the upper Top of VaR 99Lestimated
Weighted VaR LEstimated TopContribution of the upper Top of Weighted Value at RiskLestimated
Weighted VaR 97.5 LEstimated TopContribution of the upper Top of Weighted VaR 97.5Lestimated
Weighted VaR 99 LEstimated TopContribution of the upper Top of Weighted VaR 99Lestimated

Trades

Component trades

MeasureDescription
VaR Component TradesComponent explanation of the upper Trades of Value at Risk
VaR 97.5 Component TradesComponent explanation of the upper Trades of VaR 97.5
VaR 99 Component TradesComponent explanation of the upper Trades of VaR 99

Component delta trades

MeasureDescription
VaR Component Delta TradesComponent DtD explanation of the upper Trades of Value at Risk
VaR 97.5 Component Delta TradesComponent DtD explanation of the upper Trades of VaR 97.5
VaR 99 Component Delta TradesComponent DtD explanation of the upper Trades of VaR 99

Incremental trades

VaR does not have an Incremental Trades measure. This section covers VaR 97.5, VaR 99, and all Weighted VaR variants.
MeasureDescriptionRelated methodologiesRelevant context valuesRequired hierarchies
VaR 97.5 Incremental TradesIncremental variation of the VaR 97.5 that computes the contribution of trades. Refer to the Incremental Measures chapterIncrementalTrades
VaR 99 Incremental TradesIncremental variation of the VaR 99 that computes the contribution of trades. Refer to the Incremental Measures chapterIncrementalTrades
Weighted VaR Incremental TradesIncremental variation of the Weighted VaR that computes the contribution of trades. Refer to the Incremental Measures chapterIncrementalVaRConfidenceLevel, WeightedVaRLambdaTrades
Weighted VaR 97.5 Incremental TradesIncremental variation of the Weighted VaR 97.5 that computes the contribution of trades. Refer to the Incremental Measures chapterIncrementalWeightedVaRLambdaTrades
Weighted VaR 99 Incremental TradesIncremental variation of the Weighted VaR 99 that computes the contribution of trades. Refer to the Incremental Measures chapterIncrementalWeightedVaRLambdaTrades
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

MeasureDescriptionRelated methodologies
VaR LEstimated TradesContribution of the upper Trades of Value at RiskLestimated
VaR 97.5 LEstimated TradesContribution of the upper Trades of VaR 97.5Lestimated
VaR 99 LEstimated TradesContribution of the upper Trades of VaR 99Lestimated
Weighted VaR LEstimated TradesContribution of the upper Trades of Weighted Value at RiskLestimated
Weighted VaR 97.5 LEstimated TradesContribution of the upper Trades of Weighted VaR 97.5Lestimated
Weighted VaR 99 LEstimated TradesContribution of the upper Trades of Weighted VaR 99Lestimated