In many statements in probability, there is an assumption like bounded

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    Bounded Probability
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SUMMARY

The discussion centers on the concept of bounded fourth moments in probability theory. It establishes that certain heavy-tailed distributions, specifically the Cauchy and Pareto distributions, possess unbounded fourth moments, leading to infinite moments. This highlights the importance of understanding the behavior of these distributions in probabilistic statements and their implications in statistical analysis.

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In many statements in probability, there is an assumption like bounded fourth moment, so is there any random variable which has unbounded fourth moment?
 
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Some heavy-tailed distributions such as Cauchy & Pareto distributions have infinite moments.
 

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