IMA summary - Atoti Hub

Download sample file: IMA_Summary.csv This file contains input fields for various risk scenarios, liquidity horizons and risk classes, used to calculate the Expected shortfall. This file is similar to the Expected Shortfall PL Trade file, but with these differences:

Loaded into the IMA Summary cube
Does not contain trade-level data
Intended for the historical averages”

This IMA Summary file type is identified using the pattern: **/IMA_Summary*.csv (as specified by ima.summary.file-pattern). A sample file is IMA_Summary. This file is loaded using the IMA_Summary topic. See the Topic Aliases table for an understanding of the topic aliases associated with each topic.


Field	Key	Null	FieldType	Description	Example
DataSet	Y	Y	String	The data set to which the entry belongs.The following different values are possible:“Full Set Current”: data for the last 12 months, “Reduced Set Stressed”: data with the reduced set of risk factors for the 12-month stress period, “Reduced Set Current”: data with the reduced set of risk factors for the last 12 monthsNote: For non-modellable risk-factors, this value should be blank.
Book	Y	N	String	The book Id
LegalEntity	Y	N	String	The legal entity Id
RiskFactor	Y	Y	String	The risk factorNote: This is required for non-modellable risk-factors, but may be blank for modellable risk-factors.
RiskClass	Y	N	String	The risk class, which will be one of the following:GIRR, CSR, Equity, Commodity, FX, allinNote: For non-modellable, non-idiosyncratic risk-factors, this value should be blank.
LiquidityHorizon	Y	Y	Integer[]	The Liquidity Horizon in days: 10, 20, 40, 60, or 120Note: For non-modellable risk-factors, this value should be blank (though it may be set to 10 without causing any problems).You have to ensure yourself that there is no gap on the liquidity horizon. For instance a horizon of 40 will also apply on 10 and 20 so you must specify ‘40;20;10’.
Currency	N	N	String	The currency in which the PnL vector is expressed.
PV	N	N	Double Vector	The vector of PV values calculated for each scenario. The scenarios are calibrated to the 12-month stress or current periods.For modellable risk-factors, these PV vectors are aggregated across DataSet, RiskClass, and Liquidity Horizon while for NMRFs they are aggregated across the risk-factor. Hence the list of scenarios must be consistent for all PV vectors with these fields in common.The P&L vector is obtained by subtracting the Base PV from each value in this vector.
AsOfDate	Y	N	Date ‘YYYY-MM-DD’	Timestamp (at close of business) for the data.
Base PV	N	Y	Double	The PV for the base scenario. If this value is not provided, then the PV vector becomes the P&L vector.