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*Last updated: 2023-03-16.*

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<meta itemprop="name" content="tf_quant_finance.models.sabr.approximations.SabrImpliedVolatilityType" />
<meta itemprop="path" content="Stable" />
<meta itemprop="property" content="LOGNORMAL"/>
<meta itemprop="property" content="NORMAL"/>
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# tf_quant_finance.models.sabr.approximations.SabrImpliedVolatilityType

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<a target="_blank" href="https://github.com/paolodelia99/tf-quant-finance/blob/main/tf_quant_finance/models/sabr/approximations/implied_volatility.py">View source</a>



The implied volality arising from the SABR approximate solution.

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* `NORMAL`: The volatility for the normal model, i.e. the `sigma_n` for a
  stochastic model of the underlying `F` behaving like:

  ```
  dF = sigma_n dW
  ```

* `LOGNORMAL`: The volatility for the lognomal (aka Black) model, i.e. the
  `sigma_B` for a stochastic model of the underlying `F` behaving like:

  ```
  dF = sigma_b F dW
  ```

## Class Variables

* `LOGNORMAL` <a id="LOGNORMAL"></a>
* `NORMAL` <a id="NORMAL"></a>
