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  2. Volatility (finance) - Wikipedia

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

    CBOE Volatility Index (VIX) from December 1985 to May 2012 (daily closings) In finance, volatility (usually denoted by "σ") is the degree of variation of a trading price series over time, usually measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices.

  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. Monte Carlo methods for option pricing - Wikipedia

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

    Online tools. Monte Carlo simulated stock price time series and random number generator (allows for choice of distribution), Steven Whitney; Discussion papers and documents. Monte Carlo Simulation, Prof. Don M. Chance, Louisiana State University; Pricing complex options using a simple Monte Carlo Simulation, Peter Fink (reprint at quantnotes.com)

  5. Margrabe's formula - Wikipedia

    en.wikipedia.org/wiki/Margrabe's_formula

    Margrabe's model of the market assumes only the existence of the two risky assets, whose prices, as usual, are assumed to follow a geometric Brownian motion.The volatilities of these Brownian motions do not need to be constant, but it is important that the volatility of S 1 /S 2, σ, is constant.

  6. 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 ...

  7. Hull–White model - Wikipedia

    en.wikipedia.org/wiki/Hull–White_model

    In there it was shown how the said partitioning enables capturing statistically significant time changes in volatility of interest rates. following the said approach, Orlando et al. (2021) [7]) compares the Hull–White model with the CIR model in terms of forecasting and prediction of interest rate directionality.

  8. 5 ways to tell if you’re on track for retirement — and 5 ...

    www.aol.com/finance/5-ways-tell-track-retirement...

    3. Use an online retirement calculator. Now it’s time to zoom in a little. To get a clearer snapshot of your progress, use an online retirement calculator.

  9. Option-adjusted spread - Wikipedia

    en.wikipedia.org/wiki/Option-adjusted_spread

    Post crisis, even in those settings, banks use local and stochastic volatility models to incorporate the volatility surface. Option-adjusted spread (OAS) is the yield spread which has to be added to a benchmark yield curve to discount a security's payments to match its market price, using a dynamic pricing model that accounts for embedded ...