Implied_volatility_modelling | implied volatility modelling consists

by pepelawycliffe Jupyter Notebook Version: Current License: MIT

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kandi X-RAY | Implied_volatility_modelling Summary

Implied_volatility_modelling is a Jupyter Notebook library. Implied_volatility_modelling has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

implied volatility modelling consists in attempting to describing the behaviour of the implied volatility surface (or just the volatility smile of a given maturity) throughout time with the smallest prediction error possible (or at least in a way doesn't make us lose money).

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Quality

Security

License

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Support

Implied_volatility_modelling has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Implied_volatility_modelling has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Implied_volatility_modelling is current.

Quality

Implied_volatility_modelling has no bugs reported.

Security

Implied_volatility_modelling has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Implied_volatility_modelling is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Implied_volatility_modelling releases are not available. You will need to build from source code and install.

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Implied_volatility_modelling Key Features

No Key Features are available at this moment for Implied_volatility_modelling.

Implied_volatility_modelling Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install Implied_volatility_modelling

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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