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isda_simm's Introduction

ISDA SIMM

This is an implementation of ISDA Standard Initial Margin Model (a.k.a. ISDA SIMM™) version 2.3~2.5 to calculate the initial margin of uncleared over-the-counter derivatives in Python. The implementation is soley based on the official ISDA SIMM Methodology Documents.

비청산 장외파생상품 개시증거금 ISDA SIMM 산출 Python 엔진입니다

Your contribution will be always welcomed!

Getting Started

  • Place your CRIF file under the folder "CRIF" with all columns needed for the calculation
  • Run main.py

Results Example

SIMM Total Add-On Product Class SIMM_ProductClass Risk Class SIMM_RiskClass Risk Measure SIMM_RiskMeasure
16,111,268,937 816,400,002 Commodity 289,586,229 Commodity 289,586,229 Curvature 34,987,138
Delta 171,187,064
Vega 83,412,026
Credit 13,774,076,995 CreditNonQ 11,473,625,787 Curvature 36,291
Delta 11,472,297,989
Vega 1,291,507
CreditQ 3,933,746,616 BaseCorr 9,044,453
Curvature 33,042
Delta 3,922,360,448
Vega 2,308,673
Equity 34,785,002 Curvature -
Delta 34,785,002
Vega -
FX 7,064,086 Curvature -
Delta 7,064,086
Vega -
Rates 192,531,632 Curvature -
Delta 192,531,632
Vega -
Equity 464,520,787 Equity 235,482,184 Curvature 6,262,663
Delta 158,843,566
Vega 70,375,955
Rates 330,171,266 Curvature -
Delta 330,171,266
Vega -
RatesFX 766,684,924 FX 25,589,599 Curvature 9,061,235
Delta 11,926,343
Vega 4,602,021
Rates 759,126,165 Curvature 1,947
Delta 759,108,218
Vega 16,000

Warning

If you intend to implement this for any commercial purpose, reach out to ISDA SIMM™ ([email protected]) to obtain a proper liscense. You can find futher details here.

isda_simm's People

Contributors

meenmo avatar openinsightsnow avatar dependabot[bot] avatar

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