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Stochastic orders in dynamic reinsurance markets
Authors:Thomas?M?ller  author-information"  >  author-information__contact u-icon-before"  >  mailto:thm@pfa.dk"   title="  thm@pfa.dk"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) PFA Pension, Sundkrogsgade 4, 2100 Copenhagen Ø, Denmark;(2) Laboratory of Actuarial Mathematics, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen Ø, Denmark
Abstract:We consider a dynamic reinsurance market, where the traded risk process is driven by a compound Poisson process and where claim amounts are unbounded. These markets are known to be incomplete, and there are typically infinitely many martingale measures. In this case, no-arbitrage pricing theory can typically only provide wide bounds on prices of reinsurance claims. Optimal martingale measures such as the minimal martingale measure and the minimal entropy martingale measure are determined, and some comparison results for prices under different martingale measures are provided. This leads to a simple stochastic ordering result for the optimal martingale measures. Moreover, these optimal martingale measures are compared with other martingale measures that have been suggested in the literature on dynamic reinsurance markets.Received: March 2004, Mathematics Subject Classification (2000): 62P05, 60J75, 60G44JEL Classification: G10
Keywords:Compound Poisson process  change of measure  minimal martingale measure  minimal entropy martingale measure  convex order  cut criterion  stop-loss contract
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