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  2. 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.

  3. 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.

  4. 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.

  5. How implied volatility works with options trading

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

    Calculating fair value: By comparing implied volatility with historical volatility, you can determine whether an option is fairly priced. If IV is significantly higher than HV, it may suggest that ...

  6. Volatility (finance) - Wikipedia

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

    The formulas used above to convert returns or volatility measures from one time period to another assume a particular underlying model or process. These formulas are accurate extrapolations of a random walk , or Wiener process, whose steps have finite variance.

  7. 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 ...

  8. 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.

  9. Valuation of options - Wikipedia

    en.wikipedia.org/wiki/Valuation_of_options

    The volatility is the degree of its price fluctuations. A share which fluctuates 5% on either side on daily basis has more volatility than stable blue chip shares whose fluctuation is more benign at 2–3%. Volatility affects calls and puts alike. Higher volatility increases the option premium because of the greater risk it brings to the seller.