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* add first iteration of content for Terminal Pro * Update index.md * Update dashboards.md * Update folders.md * Update grouping.md * Update report.md * Update templates.md * Update quick-start.md * Update index.md * Update index.md * Update home.md * Update news.md * Update index.md * Update index.md * Update index.md * Update data-provider.md * Update chat-with-widget.md * Update data-manipulation.md * Update forecasting.md * fix: images self closing tags * fix: only pro visitors can see pro * inter font * improve SEO content and restructuring * add new package for toggle on tutorials * move folder around * improve main page of each prod * small updates and improvements * fix logo above * small improvement in headtitle for portfolio funcs * fix typos from OpenAI's GPT-4 * fix _category_ json * remove generic SEO words * add script that generates SEO for documentation * add missing file * remove sdk warning message * fix links for andrew --------- Co-authored-by: jose-donato <zmcdonato@gmail.com> Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com> Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
59 lines
1.7 KiB
Markdown
Vendored
59 lines
1.7 KiB
Markdown
Vendored
---
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title: es
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description: Learn how to use the openbb.portfolio.es function to calculate the portfolio
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expected shortfall. It allows the use of different distributions and custom percentiles.
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keywords:
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- openbb.portfolio.es
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- Portfolio expected shortfall
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- PortfolioEngine class
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- Calculations on portfolio
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- Portfolio distributions
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- Portfolio percentiles
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- openbb.portfolio.load
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- Portfolio examples
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- Python portfolio calculations
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---
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
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<HeadTitle title="portfolio.es - Reference | OpenBB SDK Docs" />
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Get portfolio expected shortfall
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Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/portfolio/portfolio_model.py#L1797)]
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```python
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openbb.portfolio.es(portfolio_engine: portfolio_engine.PortfolioEngine, use_mean: bool = False, distribution: str = "normal", percentile: float = 99.9)
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```
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---
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## Parameters
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| Name | Type | Description | Default | Optional |
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| ---- | ---- | ----------- | ------- | -------- |
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| portfolio_engine | PortfolioEngine | PortfolioEngine class instance, this will hold transactions and perform calculations.<br/>Use `portfolio.load` to create a PortfolioEngine. | None | False |
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| use_mean | | if one should use the data mean return | False | True |
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| distribution | str | choose distribution to use: logistic, laplace, normal | normal | True |
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| percentile | float | es percentile (%) | 99.9 | True |
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---
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## Returns
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| Type | Description |
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| ---- | ----------- |
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| pd.DataFrame | DataFrame with portfolio expected shortfall |
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---
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## Examples
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```python
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from openbb_terminal.sdk import openbb
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p = openbb.portfolio.load("openbb_terminal/miscellaneous/portfolio_examples/holdings/example.csv")
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output = openbb.portfolio.es(p)
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```
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---
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