# Examples
We recommend starting with [Maximum Sharpe Ratio](https://skfolio.org/auto_examples/mean_risk/plot_1_maximum_sharpe_ratio.html.md#sphx-glr-auto-examples-mean-risk-plot-1-maximum-sharpe-ratio-py)
or [Minimum CVaR](https://skfolio.org/auto_examples/mean_risk/plot_2_minimum_CVaR.html.md#sphx-glr-auto-examples-mean-risk-plot-2-minimum-cvar-py) before moving to more advanced examples.
## Mean-Risk
Examples using the [`MeanRisk`](https://skfolio.org/generated/skfolio.optimization.MeanRisk.html.md#skfolio.optimization.MeanRisk) optimization.
Maximum Sharpe Ratio
Minimum CVaR
Efficient Frontier
Mean-Variance-CDaR Surface
Weight Constraints
Transaction Costs
Management Fees
L1 and L2 Regularization
Uncertainty Set
Tracking Error
Empirical Prior
Black & Litterman
Time-Series Factor Model
Black & Litterman Factor Model
Cardinality Constraints
Threshold Constraints
Failure and Fallbacks
## Factor Models
Examples about [`CharacteristicsFactorModel`](https://skfolio.org/generated/skfolio.prior.CharacteristicsFactorModel.html.md#skfolio.prior.CharacteristicsFactorModel): building a
characteristics factor model from an [`AssetPanel`](https://skfolio.org/generated/skfolio.containers.AssetPanel.html.md#skfolio.containers.AssetPanel),
diagnosing it, and using it for portfolio construction, attribution and alpha
integration.
Characteristics Factor Model
Factor-Constrained Portfolio and Attribution
Alpha Research and Factor-Neutral Portfolio
## Risk Budgeting
Examples concerning the [`RiskBudgeting`](https://skfolio.org/generated/skfolio.optimization.RiskBudgeting.html.md#skfolio.optimization.RiskBudgeting) optimization.
Risk Parity - Variance
Risk Budgeting - CVaR
Risk Parity - Covariance shrinkage
## Synthetic Data & Stress Test
Examples about [`SyntheticData`](https://skfolio.org/generated/skfolio.prior.SyntheticData.html.md#skfolio.prior.SyntheticData) and
[`VineCopula`](https://skfolio.org/generated/skfolio.distribution.VineCopula.html.md#skfolio.distribution.VineCopula).
Bivariate Copulas
Vine Copula & Stress Test
Minimize CVaR on Stressed Factors
## Entropy & Opinion Pooling
Examples about [`EntropyPooling`](https://skfolio.org/generated/skfolio.prior.EntropyPooling.html.md#skfolio.prior.EntropyPooling) and
[`OpinionPooling`](https://skfolio.org/generated/skfolio.prior.OpinionPooling.html.md#skfolio.prior.OpinionPooling).
Entropy Pooling
Opinion Pooling
## Hierarchical Clustering and NCO
Examples concerning hierarchical clustering based optimizations.
Hierarchical Risk Parity - CVaR
Hierarchical Equal Risk Contribution - CDaR
HRP vs HERC
Nested Clusters Optimization
NCO - Combinatorial Purged CV
Schur Complementary Allocation
## Maximum Diversification
Examples concerning the [`MaximumDiversification`](https://skfolio.org/generated/skfolio.optimization.MaximumDiversification.html.md#skfolio.optimization.MaximumDiversification) optimization.
Maximum Diversification
## Distributionally Robust CVaR
Examples concerning the [`DistributionallyRobustCVaR`](https://skfolio.org/generated/skfolio.optimization.DistributionallyRobustCVaR.html.md#skfolio.optimization.DistributionallyRobustCVaR) optimization.
## Model Selection
Model selection is an integral part of portfolio construction and therefore appears in
most examples.
Tutorials using [`WalkForward`](https://skfolio.org/generated/skfolio.model_selection.WalkForward.html.md#skfolio.model_selection.WalkForward):
: * [Custom Pre-selection Using Volumes](https://skfolio.org/auto_examples/pre_selection/plot_3_custom_pre_selection_volumes.html.md#sphx-glr-auto-examples-pre-selection-plot-3-custom-pre-selection-volumes-py)
* [HRP vs HERC](https://skfolio.org/auto_examples/clustering/plot_3_hrp_vs_herc.html.md#sphx-glr-auto-examples-clustering-plot-3-hrp-vs-herc-py)
* [L1 and L2 Regularization](https://skfolio.org/auto_examples/mean_risk/plot_8_regularization.html.md#sphx-glr-auto-examples-mean-risk-plot-8-regularization-py)
* [NCO - Combinatorial Purged CV](https://skfolio.org/auto_examples/clustering/plot_5_nco_grid_search.html.md#sphx-glr-auto-examples-clustering-plot-5-nco-grid-search-py)
* [Stacking Optimization](https://skfolio.org/auto_examples/ensemble/plot_1_stacking.html.md#sphx-glr-auto-examples-ensemble-plot-1-stacking-py)
Tutorials using [`CombinatorialPurgedCV`](https://skfolio.org/generated/skfolio.model_selection.CombinatorialPurgedCV.html.md#skfolio.model_selection.CombinatorialPurgedCV):
: * [Drop Highly Correlated Assets](https://skfolio.org/auto_examples/pre_selection/plot_1_drop_correlated.html.md#sphx-glr-auto-examples-pre-selection-plot-1-drop-correlated-py)
* [HRP vs HERC](https://skfolio.org/auto_examples/clustering/plot_3_hrp_vs_herc.html.md#sphx-glr-auto-examples-clustering-plot-3-hrp-vs-herc-py)
* [NCO - Combinatorial Purged CV](https://skfolio.org/auto_examples/clustering/plot_5_nco_grid_search.html.md#sphx-glr-auto-examples-clustering-plot-5-nco-grid-search-py)
Below are dedicated Model Selection tutorials.
Multiple Randomized Cross-Validation
## Online Learning
Examples demonstrating online covariance evaluation, online hyperparameter
tuning, and online evaluation of portfolio optimization with incremental
estimators.
Online Covariance Forecast Evaluation
Online Covariance Hyperparameter Tuning
Online Evaluation of Portfolio Optimization
## Pre-selection
Examples of using [pre-selection transformers](https://skfolio.org/user_guide/pre_selection.html.md#pre-selection) with `Pipelines`.
Drop Highly Correlated Assets
Select Best Performers
Custom Pre-selection Using Volumes
Handling Incomplete Datasets: Inception, Expiry, and Default
## Metadata Routing
Examples about metadata routing.
Using Implied Volatility with Metadata Routing
## Data Preparation
Examples about data preparation.