|CCRIF SPC Technical Workshop Manual - Barbados - March 2019
In undertaking the development of the CCRIF parametric insurance coverage, significant investment has gone into developing the underlying catastrophe models. Catastrophe models are essential tools in assessing the risk associated with catastrophe events. The CCRIF model is based on robust datasets all developed within the context of the particular hazards of relevance to the client countries.
|The CCRIF Excess Rainfall (XSR) Model
Caribbean and Central American countries face a number of primary natural hazard risks, particularly earthquake and hurricane risks. Secondary risks such as those from flooding and landslides, storm surge and wave impacts, and tsunamis also pose significant threat. Additionally, these countries are frequently affected by extreme precipitation events that are often, but not always, induced by tropical cyclones.
|Understanding CCRIF - A Collection of Questions and Answers - Revised February 2016
This book provides a collection of questions and answers that provide a comprehensive overview of CCRIF and its products and services as well as its role within the wider context of disaster risk management.
|Technical Paper - Understanding CCRIF's Hurricane, Earthquake and Excess Rainfall Policies
CCRIF SPC offers earthquake, tropical cyclone and excess rainfall policies to Caribbean governments. In April 2015, CCRIF signed a Memorandum of Understanding with COSEFIN (the Council of Ministers of Finance of Central America, Panama and the Dominican Republic) to allow Central American countries to access similar coverage
|Understanding CCRIF - A Collection of Questions and Answers - March 2015
CCRIF SPC (formerly the Caribbean Catastrophe Risk Insurance Facility) is a not-for-profit risk pooling facility, owned, operated and registered in the Caribbean for Caribbean governments. It offers parametric insurance designed to limit the financial impact of catastrophic tropical cyclones, earthquakes and excess rainfall events on Caribbean governments by quickly providing short-term liquidity when a policy is triggered.