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  2. Volatility (finance) - Wikipedia

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

    A higher volatility stock, with the same expected return of 7% but with annual volatility of 20%, would indicate returns from approximately negative 33% to positive 47% most of the time (19 times out of 20, or 95%). These estimates assume a normal distribution; in reality stock price movements are found to be leptokurtotic (fat-tailed).

  3. Binomial options pricing model - Wikipedia

    en.wikipedia.org/wiki/Binomial_options_pricing_model

    In finance, the binomial options pricing model (BOPM) provides a generalizable numerical method for the valuation of options.Essentially, the model uses a "discrete-time" (lattice based) model of the varying price over time of the underlying financial instrument, addressing cases where the closed-form Black–Scholes formula is wanting, which in general does not exist for the BOPM.

  4. PnL explained - Wikipedia

    en.wikipedia.org/wiki/PnL_Explained

    For example, the delta of an option is the value an option changes due to a $1 move in the underlying commodity or equity/stock. See Risk factor (finance) § Financial risks for the market . To calculate 'impact of prices' the formula is: Impact of prices = option delta × price move; so if the price moves $100 and the option's delta is 0.05% ...

  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. 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.

  7. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/Black–Scholes_model

    A typical approach is to regard the volatility surface as a fact about the market, and use an implied volatility from it in a Black–Scholes valuation model. This has been described as using "the wrong number in the wrong formula to get the right price". [40] This approach also gives usable values for the hedge ratios (the Greeks).

  8. Rate of return - Wikipedia

    en.wikipedia.org/wiki/Rate_of_return

    As another example, a two-year return of 10% converts to an annualized rate of return of 4.88% = ((1+0.1) (12/24) − 1), assuming reinvestment at the end of the first year. In other words, the geometric average return per year is 4.88%. In the cash flow example below, the dollar returns for the four years add up to $265.

  9. 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 ...