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gregorygundersen.com | ||
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almostsuremath.com
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| | | | | It is quite common to consider functions of real-time stochastic process which depend on whether or not it crosses a specified barrier level K. This can involve computing expectations involving a real-valued process X of the form $latex \displaystyle V={\mathbb E}\left[f(X_T);\;\sup{}_{t\le T}X_t \ge K\right] &fg=000000$ (1) for a positive time T and function f:????. I... | |
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statisticaloddsandends.wordpress.com
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| | | | | In this previous post, we defined Value at Risk (VaR): given a time horizon $latex T$ and a level $latex \alpha$, the VaR of an investment at level $latex \alpha$ over time horizon $latex T$ is a number or percentage X such that Over the time horizon $latex T$, the probability that the loss on... | |
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aakinshin.net
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| | | | | I have already discussed the concept of the quantile absolute deviation in several previous posts. In this post, we derive the equation for the relative statistical efficiency of the quantile absolute deviation against the standard deviation under the norma... | |
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www.ethanepperly.com
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