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

    A statistical term used to describe the directly proportional ...
  2. Multiple Linear Regression - MLR

    A statistical technique that uses several explanatory variables ...
  3. Statistically Significant

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

    A statistical measure that attempts to determine the strength ...
  5. Statistics

    A type of mathematical analysis involving the use of quantified ...
  6. Qualitative Analysis

    Securities analysis that uses subjective judgment based on nonquantifiable ...
Related Articles
  1. Home & Auto

    Insure Your Future With A Career As An Actuary

    If you've got excellent math skills, they can add up to a lucrative career as an actuary.
  2. Fundamental Analysis

    Financial Markets: Random, Cyclical Or Both?

    Are the markets random or cyclical? It depends on who you ask. Here, we go over both sides of the argument.
  3. Trading Strategies

    What Your Trading Charts Aren't Telling You

    You may be missing some key statistics when following charts in the market.
  4. Mutual Funds & ETFs

    Top 3 Muni California Mutual Funds

    Discover analyses of the top three California municipal bond mutual funds, and learn about their characteristics, historical performance and suitability.
  5. Investing

    What is Descriptive Statistics?

    Descriptive statistics is the term applied to meaningful data analysis.
  6. Fundamental Analysis

    Create a Monte Carlo Simulation Using Excel

    How to apply the Monte Carlo Simulation principles to a game of dice using Microsoft Excel.
  7. Mutual Funds & ETFs

    Top 4 Inverse Equities ETFs

    Explore analysis of some of the most popular inverse and leveraged-inverse ETFs that track equity indexes, and learn about the suitability of these ETFs.
  8. Forex Fundamentals

    How Foreign Exchange Affects Mergers and Acquisitions Deals

    Learn how foreign exchange rates can impact the flows of international merger and acquisition (M&A) transactions, and understand how deals can impact exchange rates.
  9. Mutual Funds & ETFs

    Finding Lower Risk, Higher Return Mutual Funds

    Discover detailed analysis of lower-risk, higher-return balanced mutual funds, and learn about the characteristics of this type of mutual fund.
  10. Mutual Funds & ETFs

    ETF Analysis: iShares Globl Consumer Discretionary

    Explore analysis of the iShares Global Consumer Discretionary ETF, and learn about the suitability of this fund that tracks the consumer discretionary sector.
  1. Is Colombia an emerging market economy?

    Colombia meets the criteria of an emerging market economy. The South American country has a much lower gross domestic product, ... Read Full Answer >>
  2. What assumptions are made when conducting a t-test?

    The common assumptions made when doing a t-test include those regarding the scale of measurement, random sampling, normality ... Read Full Answer >>
  3. What are some of the more common types of regressions investors can use?

    The most common types of regression an investor can use are linear regressions and multiple linear regressions. Regressions ... Read Full Answer >>
  4. What types of assets lower portfolio variance?

    Assets that have a negative correlation with each other reduce portfolio variance. Variance is one measure of the volatility ... Read Full Answer >>
  5. When is it better to use systematic over simple random sampling?

    Under simple random sampling, a sample of items is chosen randomly from a population, and each item has an equal probability ... Read Full Answer >>
  6. What are some common financial sampling methods?

    There are two areas in finance where sampling is very important: hypothesis testing and auditing. The type of sampling methods ... Read Full Answer >>

You May Also Like

Hot Definitions
  1. Section 1231 Property

    A tax term relating to depreciable business property that has been held for over a year. Section 1231 property includes buildings, ...
  2. Term Deposit

    A deposit held at a financial institution that has a fixed term, and guarantees return of principal.
  3. Zero-Sum Game

    A situation in which one person’s gain is equivalent to another’s loss, so that the net change in wealth or benefit is zero. ...
  4. Capitalization Rate

    The rate of return on a real estate investment property based on the income that the property is expected to generate.
  5. Gross Profit

    A company's total revenue (equivalent to total sales) minus the cost of goods sold. Gross profit is the profit a company ...
  6. Revenue

    The amount of money that a company actually receives during a specific period, including discounts and deductions for returned ...
Trading Center
You are using adblocking software

Want access to all of Investopedia? Add us to your “whitelist”
so you'll never miss a feature!