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Extreme Events and Extreme Value Theory (EVT) [20]

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Bullet points include: Suppose interested in risk measures relating to losses, xj. EVT aims to supply two closely related results: Distributions of ‘block maxima’ (or ‘block minima’), i.e. maximum value of xi in blocks of m observations of x (more traditional use of EVT, wasteful of data?): Distributions of ‘threshold exceedances’ (i.e. ‘peaks-over-thresholds’), where u is a predetermined high threshold and we focus on realisations of xj that exceed u (perhaps more relevant to, e.g. computation of Value at Risk i.e. VaR), i.e.:

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