This package enables fast risks calculations on the QuantLib Python package. It provides the same interface as the standard QuantLib package, and in addition allows to calculate risks (sensitivities) using automatic differentiation via the XAD automatic differentiation tool.
Useful links:
Installation
pip install QuantLib-Risks
Usage Illustration
import QuantLib_Risks as ql
from xad.adj_1st import Tape
with Tape() as t:
rate = ql.Real(0.2)
tape.registerInput(rate)
# quantlib pricing code
...
npv = option.NPV()
tape.registerOutput(npv)
npv.derivative = 1.0
tape.computeAdjoints()
print(f"price = {npv}")
print(f"delta = {rate.derivative}")
Metadata
Release files for QuantLib-Risks 1.33.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 527.6 MB
Release files / quantlib_risks-1.33.3-cp312-cp312-win_amd64.whl
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Release files / quantlib_risks-1.33.3-cp312-cp312-musllinux_1_1_x86_64.whl
| Download URL | quantlib_risks-1.33.3-cp312-cp312-musllinux_1_1_x86_64.whl |
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| Tags | CPython 3.12 Linux musl 1.1+ x86-64 |
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Release files / quantlib_risks-1.33.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Size | 35.5 MB |
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Release files / quantlib_risks-1.33.3-cp312-cp312-macosx_12_0_x86_64.whl
| Download URL | quantlib_risks-1.33.3-cp312-cp312-macosx_12_0_x86_64.whl |
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Release files / quantlib_risks-1.33.3-cp311-cp311-win_amd64.whl
| Download URL | quantlib_risks-1.33.3-cp311-cp311-win_amd64.whl |
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| Size | 15.4 MB |
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| Download URL | quantlib_risks-1.33.3-cp311-cp311-musllinux_1_1_x86_64.whl |
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