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1.4 KiB
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1.4 KiB
Vendored
title, description
| title | description |
|---|---|
| var | OpenBB SDK Function |
var
Get portfolio VaR
Source Code: [link]
openbb.portfolio.var(portfolio_engine: portfolio_engine.PortfolioEngine, use_mean: bool = False, adjusted_var: bool = False, student_t: bool = False, percentile: float = 99.9)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| portfolio_engine | PortfolioEngine | PortfolioEngine class instance, this will hold transactions and perform calculations. Use portfolio.load to create a PortfolioEngine. |
None | False |
| use_mean | bool | if one should use the data mean return | False | True |
| adjusted_var | bool | if one should have VaR adjusted for skew and kurtosis (Cornish-Fisher-Expansion) | False | True |
| student_t | bool | If one should use the student-t distribution | False | True |
| percentile | float | var percentile (%) | 99.9 | True |
Returns
| Type | Description |
|---|---|
| pd.DataFrame | DataFrame with portfolio VaR |
Examples
from openbb_terminal.sdk import openbb
p = openbb.portfolio.load("openbb_terminal/miscellaneous/portfolio_examples/holdings/example.csv")
output = openbb.portfolio.var(p)