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* install v4
* add run on pr
* this seems sus
* thnx juan
* flip
* thnx juan
* idk
* Update index.js
* Update Root.tsx
* Update index.js
* try again
* fix front matter
* fix description front matter
* Revert "fix description front matter"
This reverts commit cccc7b2469.
* try to fix this mickey
* fixed all that mickey @DidierRLopes broke
* Update index.js
* generate platform fix
* black fix
---------
Co-authored-by: DidierRLopes <dro.lopes@campus.fct.unl.pt>
Co-authored-by: tehcoderer <me@tehcoderer.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
120 lines
3.5 KiB
Markdown
Vendored
120 lines
3.5 KiB
Markdown
Vendored
---
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title: estr
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description: Learn about the euro short-term rate ($ACSTR), wholesale euro unsecured
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overnight borrowing costs, TARGET2 business day transactions, parameters for the
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Python obb.fixedincome.rate.estr method, and the data and returns provided.
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keywords:
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- euro short-term rate
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- $ACSTR
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- wholesale euro unsecured overnight borrowing costs
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- TARGET2 business day
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- transactions
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- arm's length
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- market rates
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- Python obb.fixedincome.rate.estr
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- parameters
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- start date
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- end date
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- provider
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- fred
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- data
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- returns
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- results
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- warnings
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- chart
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- metadata
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- volume_weighted_trimmed_mean_rate
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- number_of_transactions
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- number_of_active_banks
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- total_volume
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- share_of_volume_of_the_5_largest_active_banks
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- rate_at_75th_percentile_of_volume
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- rate_at_25th_percentile_of_volume
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- data
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- date
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- rate
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---
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<!-- markdownlint-disable MD012 MD031 MD033 -->
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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Euro Short-Term Rate.
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The euro short-term rate (€STR) reflects the wholesale euro unsecured overnight borrowing costs of banks located in
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the euro area. The €STR is published on each TARGET2 business day based on transactions conducted and settled on
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the previous TARGET2 business day (the reporting date “T”) with a maturity date of T+1 which are deemed to have been
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executed at arm’s length and thus reflect market rates in an unbiased way.
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```python wordwrap
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obb.fixedincome.rate.estr(start_date: Union[date, str] = None, end_date: Union[date, str] = None, provider: Literal[str] = fred)
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```
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---
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## Parameters
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<Tabs>
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<TabItem value="standard" label="Standard">
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| Name | Type | Description | Default | Optional |
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| ---- | ---- | ----------- | ------- | -------- |
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| start_date | Union[date, str] | Start date of the data, in YYYY-MM-DD format. | None | True |
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| end_date | Union[date, str] | End date of the data, in YYYY-MM-DD format. | None | True |
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| provider | Literal['fred'] | The provider to use for the query, by default None. If None, the provider specified in defaults is selected or 'fred' if there is no default. | fred | True |
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</TabItem>
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<TabItem value='fred' label='fred'>
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| Name | Type | Description | Default | Optional |
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| ---- | ---- | ----------- | ------- | -------- |
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| start_date | Union[date, str] | Start date of the data, in YYYY-MM-DD format. | None | True |
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| end_date | Union[date, str] | End date of the data, in YYYY-MM-DD format. | None | True |
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| provider | Literal['fred'] | The provider to use for the query, by default None. If None, the provider specified in defaults is selected or 'fred' if there is no default. | fred | True |
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| parameter | Literal['volume_weighted_trimmed_mean_rate', 'number_of_transactions', 'number_of_active_banks', 'total_volume', 'share_of_volume_of_the_5_largest_active_banks', 'rate_at_75th_percentile_of_volume', 'rate_at_25th_percentile_of_volume'] | Period of ESTR rate. | volume_weighted_trimmed_mean_rate | True |
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</TabItem>
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</Tabs>
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---
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## Returns
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```python wordwrap
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OBBject
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results : List[ESTR]
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Serializable results.
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provider : Optional[Literal['fred']]
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Provider name.
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warnings : Optional[List[Warning_]]
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List of warnings.
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chart : Optional[Chart]
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Chart object.
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metadata: Optional[Metadata]
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Metadata info about the command execution.
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```
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---
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## Data
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<Tabs>
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<TabItem value="standard" label="Standard">
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| Name | Type | Description |
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| ---- | ---- | ----------- |
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| date | date | The date of the data. |
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| rate | float | ESTR rate. |
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</TabItem>
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</Tabs>
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