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  2. Implied volatility - Wikipedia

    en.wikipedia.org/wiki/Implied_volatility

    Implied volatility, a forward-looking and subjective measure, differs from historical volatility because the latter is calculated from known past returns of a security. To understand where implied volatility stands in terms of the underlying, implied volatility rank is used to understand its implied volatility from a one-year high and low IV.

  3. How implied volatility works with options trading

    www.aol.com/finance/implied-volatility-works...

    An implied volatility calculation can show you how much price movement you might expect to see until an options contract expires. The most common option pricing model is the Black-Scholes model ...

  4. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/Black–Scholes_model

    Solving for volatility over a given set of durations and strike prices, one can construct an implied volatility surface. In this application of the Black–Scholes model, a coordinate transformation from the price domain to the volatility domain is obtained. Rather than quoting option prices in terms of dollars per unit (which are hard to ...

  5. Forward volatility - Wikipedia

    en.wikipedia.org/wiki/Forward_volatility

    The volatilities in the market for 90 days are 18% and for 180 days 16.6%. In our notation we have , = 18% and , = 16.6% (treating a year as 360 days). We want to find the forward volatility for the period starting with day 91 and ending with day 180.

  6. Monte Carlo methods for option pricing - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_for...

    The technique applied then, is (1) to generate a large number of possible, but random, price paths for the underlying (or underlyings) via simulation, and (2) to then calculate the associated exercise value (i.e. "payoff") of the option for each path. (3) These payoffs are then averaged and (4) discounted to today.

  7. Beta (finance) - Wikipedia

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

    Accommodating this, mathematical finance defines a specific volatility beta. [ 5 ] Here, analogous to the above, this beta represents the covariance between the derivative's return and changes in the value of the underlying asset, with, additionally, a correction for instantaneous underlying changes.

  8. Vanna–Volga pricing - Wikipedia

    en.wikipedia.org/wiki/Vanna–Volga_pricing

    It consists of adjusting the Black–Scholes theoretical value (BSTV) by the cost of a portfolio which hedges three main risks associated to the volatility of the option: the Vega, the Vanna and the Volga. The Vanna is the sensitivity of the Vega with respect to a change in the spot FX rate:

  9. Volatility smile - Wikipedia

    en.wikipedia.org/wiki/Volatility_smile

    A related concept is that of term structure of volatility, which describes how (implied) volatility differs for related options with different maturities. An implied volatility surface is a 3-D plot that plots volatility smile and term structure of volatility in a consolidated three-dimensional surface for all options on a given underlying asset.