In excess of loss reinsurance, the reinsurer covers the amount of a loss exceeding the policy’s deductible but not piercing its cover limit. Accordingly, a policy’s quantitative scope of cover is significantly affected by the parties’ agreement of a deductible and a cover limit. Yet, the examination of whether a loss has exceeded deductible or cover limit necessitates an educated understanding of what constitutes one loss. In so-called aggregation clauses, the parties to (re-)insurance contracts regularly provide that multiple individual losses are to be added together for presenting one loss to the reinsurer when they arise from the same event, occurrence, catastrophe, cause or accident. Aggregation mechanisms are one of the core instruments for structuring reinsurance contracts.
This book systematically examines each element of an aggregation mechanism, tracing the inconsistent usage of aggregation language in the markets and scrutinizing the tests developed by courts and arbitral tribunals. In doing so, it seeks to support insurers, reinsurers, brokers and lawyers in drafting aggregation clauses and in settling claims.
Focusing on an analysis of primary sources, particularly judicial decisions, the book interprets each judicial decision to describe a system of inter-related rules, collating, organising and describing the English law of aggregation as applied by the courts and arbitral tribunals. It further draws a comparison between the English position and the corresponding rules in the Principles of Reinsurance Contract Law (PRICL).
Betaal eenvoudig met kaart, Klarna, Apple Pay of Google Pay. Niet tevreden? Je hebt altijd 14 dagen bedenktijd. Lees meer in onze voorwaarden. Heb je vragen, mail ons dan via hello@memmo.org.
Memmo maakt studeren makkelijker – waar je ook bent ter wereld. Wij brengen je cursusboeken en slimme studietools samen op één plek: samenvattingen, quizzen, podcasts en flashcards. En Ted, je studievriend die antwoord geeft op alles wat je je afvraagt. Meer dan 50.000 studenten studeren hier al – gebouwd om je sneller te laten leren en minder stress te geven.