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  2. Monte Carlo methods in finance - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_in_finance

    Pricing using Monte Carlo simulation, a practical example, Prof. Giancarlo Vercellino; Personal finance. A Better Way to Size Up Your Nest Egg, Businessweek Online: January 22, 2001; Online Monte Carlo retirement planner with source code, Jim Richmond, 2006; Free spreadsheet-based retirement calculator and Monte Carlo simulator, by Eric C., 2008

  3. Don't Gamble When It Comes to Your Retirement - AOL

    www.aol.com/.../retirement-planning-tool-monte-carlo

    A "Monte Carlo analysis" can be used to determine if you are on track to As investors, however, you should be familiar with another meaning. Don't Gamble When It Comes to Your Retirement

  4. Monte Carlo method - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_method

    Monte Carlo method: Pouring out a box of coins on a table, and then computing the ratio of coins that land heads versus tails is a Monte Carlo method of determining the behavior of repeated coin tosses, but it is not a simulation. Monte Carlo simulation: Drawing a large number of pseudo-random uniform variables from the interval [0,1] at one ...

  5. Retirement planning - Wikipedia

    en.wikipedia.org/wiki/Retirement_planning

    The Monte Carlo method is a common form of a mathematical model that is applied to predict long-term investment behavior for a client's retirement planning. [8] Its use helps to identify adequacy of client's investment to attain retirement readiness and to clarify strategic choices and actions.

  6. The Perils of Retirement Calculators - AOL

    www.aol.com/.../the-perils-of-retirement-calculators

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  7. Variance reduction - Wikipedia

    en.wikipedia.org/wiki/Variance_reduction

    The variance of randomly generated points within a unit square can be reduced through a stratification process. In mathematics, more specifically in the theory of Monte Carlo methods, variance reduction is a procedure used to increase the precision of the estimates obtained for a given simulation or computational effort. [1]

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