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Documentation Index

Fetch the complete documentation index at: https://docs.activeviam.com/llms.txt

Use this file to discover all available pages before exploring further.

This page provides an overview of ETL for SBM Vega, including the following breakdowns:
  • Table showing you the fields included in each row of a Vega Sensitivity CSV Input Data file, indicating which stores these fields are copied to during the ETL process.
  • Key fields for vector creation and the fields that have the potential to be populated with vectors, as opposed to always containing scalar values.

Vectorization

The following table provides information about the vectors employed within the Vega CSV Input files for each risk class:
Risk ClassVector Information

- GIRR

- CSR non-Sec

- CSR Sec CTP

- CSR Sec non-CTP

- Equity

- Commodity

- FX
If Vega sensitivities are provided in the input file as a vector, the indices of the vectors are the option maturities.

Note: GIRR Vega is a two-dimensional vector, the second dimension being the residual underlying maturities.

Un-Vectorization

Vectors within the input are split into several scalar lines by the RiskClassTuplePublisher. For each OptionMaturity in the vectorized input, the corresponding index of VegaSensitivities is used to create scalar tuples under the scalar risk factor. The scalar risk factor is the concatenation of the input riskFactor and the OptionMaturity, using a space as a delimiter. If OptionMaturity is not provided, a default of “6M”, “1Y”, “3Y”, “5Y”, “10Y” is used in that order. In the case of GIRR Yield curves, UnderlyingMaturity is the second dimension of the vectorized input. The scalar risk factor is the concatenation of the input riskFactor, the OptionMaturity, and the UnderlyingMaturity using a space as a delimiter. If UnderlyingMaturity is not provided, a default of “1Y” is used.

Normalization

Vega-relevant stores

The stores that are relevant for Vega are:
Stores
SASensitivities
RiskFactorDescription
UnderlyingDescription

Mapping of SBM Vega CSV file fields onto the stores that they populate

Field from CSV file OR ColumnCalculator (if the CSV file field is null)SASensitivitiesRiskFactorDescriptionUnderlyingDescriptionKey Fields for Vector Creation
AsOfDate(AsOfDate)(AsOfDate)(AsOfDate)
TradeId(TradeKey for trade level data)
Book(part of TradeKey for summary data)
LegalEntity(part of TradeKey for summary data)
RiskClass(RiskClass)(RiskClass)(RiskClass)
OptionMaturity(Maturity)
UnderlyingMaturity(Underlying Maturity)
VegaSensitivities (vector or scalar)
Ccy
RiskFactor (if missing, RiskFactorColumnCalculator is used)(RiskFactor)(RiskFactor)
Type(RiskFactorType)(GIRR Curve Type)
GIRRCcy(GIRR Ccy)
Underlying (if missing, UnderlyingColumnCalculator is used)(Underlying)(Underlying)
CSRQuality(CSRQuality)
CSRSector(CSRSector)
CSRTrance (Deprecated)
EquityEconomy(EquityEconomy)
EquityMarketCap(EquityMarketCap)
EquitySector(EquitySector)
CommodityLocation(CommodityLocation)
CommodityTime (Deprecated)
CommodityGrade (Deprecated)
CommodityRoute (Deprecated)
FXCounterCurrency(FXCounterCurrency)
OriginalOptionality
CSRRating
FXComplexTrade
FXOtherCcy
FXDividerEligibility
Bucket
Pool
Attachment
Detachment

Column Calculators and Tuple Publishers

RiskFactorColumnCalculator

If Risk Factor is not provided, RiskFactorColumnCalculator will create one based on risk class the table below explains how Risk Factors are derived.
Risk ClassCreation Method for RiskFactor
CommodityDerived by concatenating Underlying and CommodityLocation, using ‘space’ as a delimiter
GIRRUnderlying is used
EquityDerived by concatenating Underlying and RiskFactorType, using ‘space’ as a delimiter
CSR non-SecDerived by concatenating Underlying and RiskFactorType, using ‘space’ as a delimiter
CSR Sec CTPDerived by concatenating Underlying and RiskFactorType, using ‘space’ as a delimiter
CSR Sec non-CTPDerived by concatenating Underlying and RiskFactorType, using ‘space’ as a delimiter
FXUnderlying is used
If sbm.risk-factor.always-append-tenor is set to true, then tenor will also be added to Risk Factor.

The Tuple Publisher and Publisher Classes

The function of the TuplePublisher and its associated Publisher classes is to separate data in the incoming file row according to its relevance to particular stores and apply ETL logic to the incoming rows:
Tuple Publisher ClassPublisher ClassFunction
RiskClassTuplePublisherSplits fields according to the following criteria:

- fields relevant to DeltaPublisher OR VegaPublisher OR CurvaturePublisher

- fields relevant to StaticDataPublisher classes for RiskFactorDescription and UnderlyingDescription stores.

Note: If multiple sensitivities are held on the same line, the line is de-multiplexed here
VegaPublisherVegaPublisher publishes to the SASensitivities store
RiskFactorPublisher (extends StaticDataPublisher)RiskFactorPublisher publishes to the RiskFactorDescription store
UnderlyingPublisher (extends StaticDataPublisher)UnderlyingPublisher publishes to the UnderlyingDescription store