<html><body><p>One important measurement issue concerns the fat tails problem that I <a href="https://quotes.tuteehub.com/tag/mentioned-9917" style="font-weight:bold;" target="_blank" title="Click to read more quotes about MENTIONED">MENTIONED</a> <a href="https://quotes.tuteehub.com/tag/earlier-7612" style="font-weight:bold;" target="_blank" title="Click to read more quotes about EARLIER">EARLIER</a>. VAR is concerned with extreme <a href="https://quotes.tuteehub.com/tag/outcomes-5986" style="font-weight:bold;" target="_blank" title="Click to read more quotes about OUTCOMES">OUTCOMES</a>. If the tails of the <a href="https://quotes.tuteehub.com/tag/probability-5393" style="font-weight:bold;" target="_blank" title="Click to read more quotes about PROBABILITY">PROBABILITY</a> distributions we are using are too thin, our VAR measures are likely to be too low.</p></body></html>

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One important measurement issue concerns the fat tails problem that I MENTIONED EARLIER. VAR is concerned with extreme OUTCOMES. If the tails of the PROBABILITY distributions we are using are too thin, our VAR measures are likely to be too low.

Author - John Hull Subject - Thin

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One important measurement issue concerns the fat tails problem that I MENTIONED EARLIER. VAR is concerned with extreme OUTCOMES. If the tails of the PROBABILITY distributions we are using are too thin, our VAR measures are likely to be too low.

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One important measurement issue concerns the fat tails problem that I MENTIONED EARLIER. VAR is concerned with extreme OUTCOMES. If the tails of the PROBABILITY distributions we are using are too thin, our VAR measures are likely to be too low.

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