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  2. Volatility (finance) - Wikipedia

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

    Volatility does not measure the direction of price changes, merely their dispersion. This is because when calculating standard deviation (or variance), all differences are squared, so that negative and positive differences are combined into one quantity. Two instruments with different volatilities may have the same expected return, but the ...

  3. 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.

  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 Is Used and Calculated

    www.aol.com/news/implied-volatility-used...

    Continue reading → The post How Implied Volatility Is Used and Calculated appeared first on SmartAsset Blog. When trading stocks or stock options, there are certain indicators you may use to ...

  6. How implied volatility works with options trading

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

    To use these models, traders input information such as the stock price, strike price, time to expiration, interest rate and volatility to calculate an option’s theoretical price. To find implied ...

  7. 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 ...

  8. 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 ...

  9. Moneyness - Wikipedia

    en.wikipedia.org/wiki/Moneyness

    A volatility surface using coordinates a non-trivial moneyness M and time to expiry τ is called the relative volatility surface (with respect to the moneyness M). While the spot is often used by traders, the forward is preferred in theory, as it has better properties, [6] [7] thus F/K will be used in the sequel. In practice, for low interest ...