abaquant.derivatives.validation

Import path: abaquant.derivatives.validation

Domain: Derivative pricing, simulation, calibration, diagnostics, and strategy analysis.

Purpose

Input-validation helpers for advanced derivatives.

When to use it

Centralizes input validation and error messages used by public calculations. Use this package when valuing contingent claims, calculating Greeks, building option strategies, simulating stochastic processes, or fitting models to market observations.

Public objects

  • function: validate_positive — Require a strictly positive numeric input.

  • function: validate_nonnegative — Require a numeric input greater than or equal to zero.

  • function: validate_between — Require a numeric input to lie strictly inside an open interval.

  • function: validate_positive_integer — Require a positive integer input.

  • function: validate_option_type — Require an option type supported by vanilla call/put routines.

Detailed reference

Input-validation helpers for advanced derivatives.

Purpose

The module contains small reusable checks for positivity, non-negativity, intervals, integer counts, and option-type labels.

Conventions

Validation helpers raise ValueError for inputs outside their declared domain.

References

[ 1 ] Black, F., and M. Scholes (1973), “The Pricing of Options and Corporate Liabilities”; Merton, R. C. (1973), “Theory of Rational Option Pricing”.

abaquant.derivatives.validation.validate_positive(name, value)

Require a strictly positive numeric input.

Parameters:

  • name (str) – Human-readable name of the value being validated.

  • value (float) – Numerical value being validated or transformed.

Returns:

The function returns None when the value is valid and raises ValueError otherwise.

Return type:

None

abaquant.derivatives.validation.validate_nonnegative(name, value)

Require a numeric input greater than or equal to zero.

Parameters:

  • name (str) – Human-readable name of the value being validated.

  • value (float) – Numerical value being validated or transformed.

Returns:

The function returns None when the value is valid and raises ValueError otherwise.

Return type:

None

abaquant.derivatives.validation.validate_between(name, value, lower, upper)

Require a numeric input to lie strictly inside an open interval.

Parameters:

  • name (str) – Human-readable name of the value being validated.

  • value (float) – Numerical value being validated or transformed.

  • lower (float) – Lower root-search or interval bound.

  • upper (float) – Upper root-search or interval bound.

Returns:

The function returns None when the value is valid and raises ValueError otherwise.

Return type:

None

abaquant.derivatives.validation.validate_positive_integer(name, value)

Require a positive integer input.

Parameters:

  • name (str) – Human-readable name of the value being validated.

  • value (int) – Numerical value being validated or transformed.

Returns:

The function returns None when the value is valid and raises ValueError otherwise.

Return type:

None

abaquant.derivatives.validation.validate_option_type(option_type)

Require an option type supported by vanilla call/put routines.

Parameters:

option_type (str) – Option type label, normally "call" or "put".

Returns:

The function returns None when the label is valid and raises ValueError otherwise.

Return type:

None