Coverage for src / cvx / risk / __init__.py: 100%
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« prev ^ index » next coverage.py v7.14.0, created at 2026-05-13 06:46 +0000
1"""Risk models for portfolio optimization.
3The cvxrisk package provides a collection of risk models for portfolio optimization
4using the Clarabel conic solver directly. It supports various risk measures including
5sample covariance, factor models, and Conditional Value at Risk (CVaR).
7Example:
8 Basic usage with sample covariance:
10 >>> import numpy as np
11 >>> from cvx.risk import Model
12 >>> from cvx.risk.sample import SampleCovariance
13 >>> from cvx.risk.portfolio import minrisk_problem
14 >>> from cvx.core.variable import Variable
15 >>> # Create a risk model
16 >>> model = SampleCovariance(num=3)
17 >>> model.update(
18 ... cov=np.eye(3),
19 ... lower_assets=np.zeros(3),
20 ... upper_assets=np.ones(3)
21 ... )
22 >>> # Create and solve optimization
23 >>> weights = Variable(3)
24 >>> problem = minrisk_problem(model, weights)
25 >>> problem.solve()
26 >>> np.allclose(weights.value, [1/3, 1/3, 1/3], atol=1e-5)
27 True
29Modules:
30 cvar: Conditional Value at Risk risk model
31 factor: Factor-based risk model
32 portfolio: Portfolio optimization functions
33 sample: Sample covariance risk model
35"""
37# Copyright 2023 Stanford University Convex Optimization Group
38#
39# Licensed under the Apache License, Version 2.0 (the "License");
40# you may not use this file except in compliance with the License.
41# You may obtain a copy of the License at
42#
43# http://www.apache.org/licenses/LICENSE-2.0
44#
45# Unless required by applicable law or agreed to in writing, software
46# distributed under the License is distributed on an "AS IS" BASIS,
47# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
48# See the License for the specific language governing permissions and
49# limitations under the License.
50import importlib.metadata
52__version__ = importlib.metadata.version("cvxrisk")
54from cvx.core import Model as Model