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Accurate Goodness of Fit tests for the extreme tails of empirical distributions is a very im-portant issue, relevant in many contexts, including geophysics, insurance and finance. We have derived exac...
The mutual fund industry manages about a quarter of the assets in the U.S. stock market and thus plays an important role in the U.S. economy. The question of how much control is concentrated in the ha...
An efficient adaptive direct numerical integration (DNI) algorithm is developed for computing high quantiles and conditional Value at Risk (CVaR) of compound distributions using characteristic funct...
Signatures of universality are detected by comparing individual eigenvalue distributions and level spacings from financial covariance matrices to random matrix predictions. A chopping procedure is dev...
Correlation mixtures of elliptical copulas arise when the correlation parameter is driven itself by a latent random process. For such copulas, both penultimate and asymptotic tail dependence are much ...
We build a simple model of leveraged asset purchases with margin calls.Investment funds use what is perhaps the most basic nancial strategy,called \value investing", i.e. systematically attempting to...
Social, technological and economic time series are divided by events which are usually assumed to be random albeit with some hierarchical structure. It is well known that the interevent statistics ob...
In complex systems such as turbulent flows and financial markets, the dynamics in long and short time-lags, signaled by Gaussian and fat-tailed statistics, respectively, calls for a unified descripti...

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