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conditional variance

См. также в других словарях:

  • Conditional variance — In probability theory and statistics, a conditional variance is the variance of a conditional probability distribution. Particularly in econometrics, the conditional variance is also known as the scedastic function or skedastic function.… …   Wikipedia

  • Conditional variance swap — A conditional variance swap is a type of swap Derivative (finance) product that allows investors to take exposure to volatility in the price of an underlying security only while the underlying security is within a pre specified price range. This… …   Wikipedia

  • Variance — In probability theory and statistics, the variance of a random variable, probability distribution, or sample is one measure of statistical dispersion, averaging the squared distance of its possible values from the expected value (mean). Whereas… …   Wikipedia

  • Variance swap — A variance swap is an over the counter financial derivative that allows one to speculate on or hedge risks associated with the magnitude of movement, i.e. volatility, of some underlying product, like an exchange rate, interest rate, or stock… …   Wikipedia

  • Conditional probability distribution — Given two jointly distributed random variables X and Y, the conditional probability distribution of Y given X is the probability distribution of Y when X is known to be a particular value. If the conditional distribution of Y given X is a… …   Wikipedia

  • Conditional budgeting — is a budgeting approach designed for companies with fluctuating income, high fixed costs, or income depending on sunk costs, as well as NPOs and NGOs. The approach builds on the strengths of proven budgeting approaches, leverages the respective… …   Wikipedia

  • Conditional expectation — In probability theory, a conditional expectation (also known as conditional expected value or conditional mean) is the expected value of a real random variable with respect to a conditional probability distribution. The concept of conditional… …   Wikipedia

  • Autoregressive conditional heteroskedasticity — ARCH redirects here. For the children s rights organization, see Action on Rights for Children. In econometrics, AutoRegressive Conditional Heteroskedasticity (ARCH) models are used to characterize and model observed time series. They are used… …   Wikipedia

  • Law of total variance — In probability theory, the law of total variance or variance decomposition formula states that if X and Y are random variables on the same probability space, and the variance of X is finite, then:operatorname{var}(X)=operatorname{E}(operatorname{v… …   Wikipedia

  • Constant Elasticity of Variance Model — In mathematical finance, the CEV or Constant Elasticity of Variance model is a stochastic volatility model, which attempts to capture stochastic volatility and the leverage effect. The model is widely used by practitioners in the financial… …   Wikipedia

  • Normal variance-mean mixture — In probability theory and statistics, a normal variance mean mixture with mixing probability density g is the continuous probability distribution of a random variable Y of the form where α and β are real numbers and σ > 0 and random variables… …   Wikipedia

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