Abstract: A risk parsing device provides risk splitting and loss event diversification for a multi-risk forecast systems capturing multiple loss aggregation under complex environmental conditions based on the occurrence of defined loss events. The loss events are triggered by one or more involved causing units and affected units, wherein the loss events evolve from one or multiple risk accumulating sources. Risk events related loss measures can be scattered over multiple causing units or multiple related clash events. The multi-risk forecast system provides loss-generating processes and events, wherein the inventive risk splitter is a technical core element to generate an event-related loss distribution mirroring cause-effect chains induced by the risk events which extend over space and time. The risk splitter module allows automated splitting of the risk based on risk exposed, causing unit characteristics and risk exposed affected units' characteristics.

Abstract: An event generator generates risk events for clash-quantifying, multi-risk assessment systems with automated assessment of multi-risk exposures induced by the generated risk events, liability catastrophes and casualty accumulations. A plurality of affected units are subject to an risk exposure of occurring risk events caused by one or more liability risk exposed units. The event generator selects relevant LLC/ULC/ELC scenarios from scenarios of a data structure. The event generator generates concrete events based on the selected scenarios.

Abstract: A system and method for providing a liability temperature measure based on a time-dependent, composite indexing parameter. Measurement parameters assigned to parameterized liability risk drivers are measured for generating the measured time-dependent, composite indexing parameter. The used liability risk drivers are selected based on their impact to the measured variable composite index parameter and dynamically normalized to each other. The normalization is based on a defined transformation applied to the final time series of the parameters providing individual set weights. Based on the weighted liability risk drivers and sets of liability risk drivers, a minimum number of liability risk drivers in relation to maximized statistical significance is selected by applying an index assembly and validation unit.

Abstract: A risk parsing device provides risk splitting and loss event diversification for a multi-risk forecast systems capturing multiple loss aggregation under complex environmental conditions based on the occurrence of defined loss events. The loss events are triggered by one or more involved causing units and affected units, wherein the loss events evolve from one or multiple risk accumulating sources. Risk events related loss measures can be scattered over multiple causing units or multiple related clash events. The multi-risk forecast system provides loss-generating processes and events, wherein the inventive risk splitter is a technical core element to generate an event-related loss distribution mirroring cause-effect chains induced by the risk events which extend over space and time. The risk splitter module allows automated splitting of the risk based on risk exposed, causing unit characteristics and risk exposed affected units' characteristics.