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  2. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    It is a convenient and useful model for measurements in exact and engineering sciences, as well as medicine, economics and other topics (e.g., energies, concentrations, lengths, prices of financial instruments, and other metrics). The distribution is occasionally referred to as the Galton distribution or Galton's distribution, after Francis ...

  3. Local volatility - Wikipedia

    en.wikipedia.org/wiki/Local_volatility

    In mathematical finance, the asset S t that underlies a financial derivative is typically assumed to follow a stochastic differential equation of the form = +, under the risk neutral measure, where is the instantaneous risk free rate, giving an average local direction to the dynamics, and is a Wiener process, representing the inflow of randomness into the dynamics.

  4. Post-modern portfolio theory - Wikipedia

    en.wikipedia.org/wiki/Post-modern_portfolio_theory

    Atchison & Brown at Cambridge University who developed the three parameter lognormal distribution which was a more robust model of the pattern of returns than the bell shaped distribution of MPT. Bradley Efron, Stanford University, who developed the bootstrap procedure for better describing the nature of uncertainty in financial markets.

  5. File:Lognormal distribution PDF.svg - Wikipedia

    en.wikipedia.org/wiki/File:Lognormal...

    Lognormal distribution PDF.png licensed with Cc-by-sa-3.0-migrated, GFDL 2005-05-03T04:48:16Z PAR 1300x975 (192660 Bytes) Probability density function for the Log-normal distribution; Uploaded with derivativeFX

  6. Black model - Wikipedia

    en.wikipedia.org/wiki/Black_model

    The only remaining thing to check is that the first asset is indeed an asset. This can be seen by considering a portfolio formed at time 0 by going long a forward contract with delivery date T {\displaystyle T} and long F ( 0 ) {\displaystyle F(0)} riskless bonds (note that under the deterministic interest rate, the forward and futures prices ...

  7. Geometric Brownian motion - Wikipedia

    en.wikipedia.org/wiki/Geometric_Brownian_motion

    Geometric Brownian motion is used to model stock prices in the Black–Scholes model and is the most widely used model of stock price behavior. [4] Some of the arguments for using GBM to model stock prices are: The expected returns of GBM are independent of the value of the process (stock price), which agrees with what we would expect in ...

  8. Black–Karasinski model - Wikipedia

    en.wikipedia.org/wiki/Black–Karasinski_model

    The model implies a log-normal distribution for the short rate and therefore the expected value of the money-market account is infinite for any maturity. In the original article by Fischer Black and Piotr Karasinski the model was implemented using a binomial tree with variable spacing, but a trinomial tree implementation is more common in ...

  9. Bollinger Bands - Wikipedia

    en.wikipedia.org/wiki/Bollinger_Bands

    S&P 500 with 20-day, two-standard-deviation Bollinger Bands, %b and bandwidth. Bollinger Bands (/ ˈ b ɒ l ɪ n dʒ ər /) are a type of statistical chart characterizing the prices and volatility over time of a financial instrument or commodity, using a formulaic method propounded by John Bollinger in the 1980s.

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