# skfolio.descriptor.CashFlowToAssets ### *class* skfolio.descriptor.CashFlowToAssets Cash flow to assets descriptor. Computes the ratio of trailing twelve-month operating cash flow to total assets: $$ \text{cash\_flow\_to\_assets}(t) = \frac{\text{operating\_cash\_flow\_ttm}(t)}{\text{total\_assets}(t)} $$ Cash flow to assets measures cash-based profitability: how much cash a firm generates from operations per unit of assets. Unlike net income-based measures ([`ReturnOnAssets`](https://skfolio.org/generated/skfolio.descriptor.ReturnOnAssets.html.md#skfolio.descriptor.ReturnOnAssets)), operating cash flow is less directly affected by accrual accounting choices [[1]](#r7f640f8aad96-1).. * **Parameters:** **None** * **Attributes:** **n_assets_** *int* : Number of assets seen during fitting. **asset_names_** *ndarray of shape (n_assets,)* : Asset names seen during fitting. ### Methods | [`fit_transform`](#skfolio.descriptor.CashFlowToAssets.fit_transform)(X[, y]) | Compute cash flow to assets. | |--------------------------------------------------------------------------------|------------------------------------------------| | [`get_metadata_routing`](#skfolio.descriptor.CashFlowToAssets.get_metadata_routing)() | Get metadata routing of this object. | | [`get_params`](#skfolio.descriptor.CashFlowToAssets.get_params)([deep]) | Get parameters for this estimator. | | [`partial_fit_transform`](#skfolio.descriptor.CashFlowToAssets.partial_fit_transform)(X[, y]) | Stateless class delegation to `fit_transform`. | | [`set_params`](#skfolio.descriptor.CashFlowToAssets.set_params)(\*\*params) | Set the parameters of this estimator. | #### SEE ALSO [`ReturnOnAssets`](https://skfolio.org/generated/skfolio.descriptor.ReturnOnAssets.html.md#skfolio.descriptor.ReturnOnAssets) : Net income-based profitability per unit of assets. [`CashFlowToPrice`](https://skfolio.org/generated/skfolio.descriptor.CashFlowToPrice.html.md#skfolio.descriptor.CashFlowToPrice) : Cash flow normalized by market cap (value signal). ### Notes Operating cash flow can be negative, so this descriptor can take negative values. ### References * **[1]** “Accruals, cash flows, and operating profitability in the cross section of stock returns” Journal of Financial Economics. Ball, Gerakos, Linnainmaa & Nikolaev (2016). ### Examples ```pycon >>> from skfolio.datasets import make_synthetic_characteristics >>> from skfolio.descriptor import CashFlowToAssets >>> >>> X = make_synthetic_characteristics() >>> >>> descriptor = CashFlowToAssets() >>> cash_flow_to_assets = descriptor.fit_transform(X) ``` #### fit_transform(X, y=None, \*\*fit_params) Compute cash flow to assets. * **Parameters:** **X** *AssetPanel* : Input panel containing `operating_cash_flow_ttm` and `total_assets`. **y** *None* : Ignored. Present for compatibility with scikit-learn’s API. **\*\*fit_params** *dict* : Additional fit parameters. Ignored. * **Returns:** **cash_flow_to_assets** *ndarray of shape (n_observations, n_assets)* : Operating cash flow divided by total assets for each observation and asset. #### get_metadata_routing() Get metadata routing of this object. Please check [User Guide](https://skfolio.org/user_guide/metadata_routing.html.md#metadata-routing) on how the routing mechanism works. * **Returns:** **routing** *MetadataRequest* : A `MetadataRequest` encapsulating routing information. #### get_params(deep=True) Get parameters for this estimator. * **Parameters:** **deep** *bool, default=True* : If True, will return the parameters for this estimator and contained subobjects that are estimators. * **Returns:** **params** *dict* : Parameter names mapped to their values. #### partial_fit_transform(X, y=None, \*\*fit_params) Stateless class delegation to `fit_transform`. #### set_params(\*\*params) Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as `Pipeline`). The latter have parameters of the form `__` so that it’s possible to update each component of a nested object. * **Parameters:** **\*\*params** *dict* : Estimator parameters. * **Returns:** **self** *estimator instance* : Estimator instance.