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  2. Bootstrapping (finance) - Wikipedia

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

    Here, the term structure of spot returns is recovered from the bond yields by solving for them recursively, by forward substitution: this iterative process is called the bootstrap method. The usefulness of bootstrapping is that using only a few carefully selected zero-coupon products, it becomes possible to derive par swap rates (forward and ...

  3. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    A key result in Efron's seminal paper that introduced the bootstrap [4] is the favorable performance of bootstrap methods using sampling with replacement compared to prior methods like the jackknife that sample without replacement. However, since its introduction, numerous variants on the bootstrap have been proposed, including methods that ...

  4. Yield curve - Wikipedia

    en.wikipedia.org/wiki/Yield_curve

    The British pound yield curve on February 9, 2005. This curve is unusual (inverted) in that long-term rates are lower than short-term ones. Yield curves are usually upward sloping asymptotically: the longer the maturity, the higher the yield, with diminishing marginal increases (that is, as one moves to the right, the curve flattens out).

  5. Why Bootstrapping is the Best Way to Start a Business ... - AOL

    www.aol.com/why-bootstrapping-best-way-start...

    Find out how you can get profitable sooner and build more customer loyalty through bootstrapping. Why Bootstrapping is the Best Way to Start a Business (20% Higher Success Rate) Skip to main content

  6. Spot contract - Wikipedia

    en.wikipedia.org/wiki/Spot_contract

    Spot rates cannot be directly observed, prices can: spot rates are thus estimated from these prices via the bootstrapping method, and the result is the spot rate curve for the securities in question. Currency

  7. Resampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Resampling_(statistics)

    The best example of the plug-in principle, the bootstrapping method. Bootstrapping is a statistical method for estimating the sampling distribution of an estimator by sampling with replacement from the original sample, most often with the purpose of deriving robust estimates of standard errors and confidence intervals of a population parameter like a mean, median, proportion, odds ratio ...

  8. Bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping

    In general, bootstrapping usually refers to a self-starting process that is supposed to continue or grow without external input. Many analytical techniques are often called bootstrap methods in reference to their self-starting or self-supporting implementation, such as bootstrapping (statistics), bootstrapping (finance), or bootstrapping (linguistics).

  9. Short-rate model - Wikipedia

    en.wikipedia.org/wiki/Short-rate_model

    Under a short rate model, the stochastic state variable is taken to be the instantaneous spot rate. [1] The short rate, r t {\displaystyle r_{t}\,} , then, is the ( continuously compounded , annualized) interest rate at which an entity can borrow money for an infinitesimally short period of time from time t {\displaystyle t} .