DEFINITION of 'Nonlinearity'

A relationship which cannot be explained as a linear combination of its variable inputs. Nonlinearity is a common issue when examining cause-effect relations. Such instances require complex modeling and hypothesis to offer explanations to nonlinear events. Nonlinearity without explanation can lead to random, unforecasted outcomes such as chaos.

BREAKING DOWN 'Nonlinearity'

Nonlinear regression is a common form of regression analysis used in the financial industry to model nonlinear data against independent variables in an attempt to explain their relationship. Although the models parameters are nonlinear in nature, nonlinear regression can fit data using methods of successive approximations to offer explanatory outputs.

  1. Linear Relationship

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  3. Multiple Linear Regression - MLR

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  4. Statistically Significant

    The likelihood that a result or relationship is caused by something ...
  5. Regression

    A statistical measure that attempts to determine the strength ...
  6. Contagion

    The spread of market changes or disturbances from one region ...
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