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Views on non-Normal markets [58]

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Bullet points include: Requires estimation of substantially increased numbers of parameters. Usually from left tail, so fewer data points available from which to estimate, making estimates less reliable. Scherer (2007) suggests ‘best practice’ involves. Specify candidate distributional form type. Find best fit to data from within this candidate type. Calculate lpm’s (and thence optimal portfolios etc) from best fit. Fitted cubic approach described earlier is an example of such an approach!

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