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  2. Heston model - Wikipedia

    en.wikipedia.org/wiki/Heston_model

    In finance, the Heston model, named after Steven L. Heston, is a mathematical model that describes the evolution of the volatility of an underlying asset. [1] It is a stochastic volatility model: such a model assumes that the volatility of the asset is not constant, nor even deterministic, but follows a random process.

  3. Volatility (finance) - Wikipedia

    en.wikipedia.org/wiki/Volatility_(finance)

    Volatility as described here refers to the actual volatility, more specifically: . actual current volatility of a financial instrument for a specified period (for example 30 days or 90 days), based on historical prices over the specified period with the last observation the most recent price.

  4. Local volatility - Wikipedia

    en.wikipedia.org/wiki/Local_volatility

    A local volatility model, in mathematical finance and financial engineering, is an option pricing model that treats volatility as a function of both the current asset level and of time . As such, it is a generalisation of the Black–Scholes model , where the volatility is a constant (i.e. a trivial function of S t {\displaystyle S_{t}} and t ...

  5. Cboe Volatility Index (VIX): What is it and how is it measured?

    www.aol.com/finance/cboe-volatility-index-vix...

    Here are some simple guidelines for what the VIX level is implying about future volatility: VIX of 0-12: When the VIX is at this level volatility is expected to be low. For context, the lowest ...

  6. Volatility clustering - Wikipedia

    en.wikipedia.org/wiki/Volatility_clustering

    The main idea behind these two models is that volatility is dependent upon past realizations of the asset process and related volatility process. This is a more precise formulation of the intuition that asset volatility tends to revert to some mean rather than remaining constant or moving in monotonic fashion over time.

  7. SABR volatility model - Wikipedia

    en.wikipedia.org/wiki/SABR_volatility_model

    The volatility of volatility controls its curvature. The above dynamics is a stochastic version of the CEV model with the skewness parameter β {\displaystyle \beta } : in fact, it reduces to the CEV model if α = 0 {\displaystyle \alpha =0} The parameter α {\displaystyle \alpha } is often referred to as the volvol , and its meaning is that of ...

  8. Constant elasticity of variance model - Wikipedia

    en.wikipedia.org/wiki/Constant_elasticity_of...

    The parameter controls the relationship between volatility and price, and is the central feature of the model. When γ < 1 {\displaystyle \gamma <1} we see an effect, commonly observed in equity markets, where the volatility of a stock increases as its price falls and the leverage ratio increases. [ 3 ]

  9. Forward volatility - Wikipedia

    en.wikipedia.org/wiki/Forward_volatility

    Forward volatility is a measure of the implied volatility of a financial instrument over a period in the future, extracted from the term structure of volatility (which refers to how implied volatility differs for related financial instruments with different maturities).