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Stochastic Process Modeling of Liquid Staking Exit Queue Waiting Times and Calculation of Extreme Risk Value
This paper models the waiting times in liquid staking exit queues using stochastic processes, calculating extreme risk values associated with prolonged waits. By analyzing queue dynamics, we provide insights into risk management strategies, helping stakeholders mitigate potential losses during high-demand periods.
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