Swiss Reinsurance Company Ltd

Zürich, Switzerland

Swiss Reinsurance Company Ltd

Zürich, Switzerland

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A system and a method, the method including assigning a payment parameter to each variable risk transfer segment of a top-down table and accumulating payment parameters to a total payment sum, capturing payment transfer parameters from a first payment-transfer device to a second payment-transfer device, and when the total payment sum at the second payment-transfer device has been triggered, transferring the risk exposure of a first insurance system associated with the variable risk transfer segments of the top-down table to a second insurance system.


A system based on layered, two-tier double cryptographic keys providing a closed cryptosystem within a secured network environment, the system including a digital key management device and a network node. The digital key management device generates a first-tier cryptographic key, a second-tier cryptographic key and makes the first-tier and second-tier cryptographic keys publicly accessible within a first and a second secured walled regions that are accessible to a network node registered to a first authentication database associated with an access server of the system, encrypts a first and second content with the first-tier and second-tier cryptographic keys, and generates encrypted first and second content. The network node requests access to the first secured walled region, accesses the first-tier and the second-tier cryptographic keys, decrypts the first and second content, generates first and second data containers based on the decrypted content, and transfers the data containers to a client device.


A method and system, the method including capturing country-specific parameters of a risk-exposed country relating to stored predefined criteria, assigning one or more disaster event types to a disaster history table, capturing and storing mapping parameters for a geographic risk map, assigning each of a plurality of selectable disaster financing types to a definable cost factor capturing the capital cost of the disaster financing type in relation to its application for disaster mitigation, determining expected catastrophe losses by a loss frequency function and the geographic risk map for various scenarios of occurring natural disaster event types, and preparing a forecast of an effect of the disaster financing type to cover the catastrophe losses based on the coverage structure, the assigned cost factors, and the determined expected catastrophe losses


Proposed are a system (1) and a method for an event-triggered switching device (11) envisioned for the complementary switching of two coupled insurance systems by providing self-sufficient risk protection of a variable number of risk exposure components (21, 22, 23) by means of two resource-pooling systems (10, 12) associated with the insurance systems, and wherein data structures (711, 712, 713) for storing a plurality of variable risk transfer segments (721, 722, 723) are provided by means of a segmentation table (7) of the switching device (11), and wherein an adaptable risk transfer function (73) is generated based on the structure (74) of the plurality of variable risk transfer segments (721, 722, 723). A payment parameter (731, 732, 733) is assigned to each variable risk transfer segment (721, 722, 723) of the segmentation table (7),and, upon triggering the total payment sum of the payment parameters (73, 732, 733) at the second payment-transfer module (42), the risk exposure of the first insurance system (10) associated with the variable risk transfer segments (721, 722, 723) of the top- down table (7) is transferred to the second insurance system (12). When the occurrence of a risk event is detected by means of event-driven triggers (31, 32) in the data flow pathway (213, 223, 233) of measuring devices (215, 225, 235), the corresponding variable risk segment (721, 722, 723) is determined within the segmentation table (7) and an activation signal is generated based on the corresponding risk transfer function (73), wherein the complementary activation of the first and second resource-pooling systems (10, 12) is triggered by means of the generated activation signal, and risk protection for the risk exposure components (21, 22, 23) is provided based on the transferred activation signal by means of the first and/or second resource pooling system (10, 12).


Proposed are a system and a method for the automated measurement, accumulation and monitoring of diverging cyber risks, wherein risk components (21, 22, 23,...) are exposed by electronic means (213, 223, 233) of the risk components (21, 22, 23,...) to a plurality of cyber risks (51, 52, 53, 54). An accumulation device (5) is used for the segmentation of the total cyber risk (50) of a risk component (21, 22, 23,...) by means of parametrizable risk exposure segments, and wherein, in a searchable trigger table (7), retrievably stored segmentation parameters (721, 722, 723, 724) are associated with corresponding measuring parameters (71 1, 712, 713, 714) for capturing the risk exposure of a specific risk exposure segment. The system comprises a trigger module (3) that is connected to the risk components (21, 22, 23,...) by means of capturing devices (31, 32, 33) in order to dynamically detect and capture measuring values for the measuring parameters (71 1, 712, 713, 714) related to the occurrence of cyber risk events within the data pathway of said electronic means (213, 223, 233). By means of the accumulation device (5), the total risk (50) is accumulated, segmentation by segmentation, by sequentially selecting the segmentation parameters (721, 722, 723, 724) from the trigger table (7) and retrieving the associated measuring parameters (71 1, 712, 713, 714) for each of the segmentation parameters (721, 722, 723, 724), and then triggering the trigger module (3) based on the retrieved measuring parameters to capture measuring values for the retrieved measuring parameters (71 1, 712, 713, 714) from the risk components (21, 22, 23,...) by means of the capturing devices (31, 32, 33).


Proposed are a computer-based disaster management and management forecast system (1) and method for forecasting the impact of disaster mitigation and financing means (30) based on location-dependent natural disaster impacts, wherein measuring parameters of historical disaster events are captured in order to determine the impact of natural disaster events and critical values of parameters of natural disaster events are triggered to generate forecasts of the impacts of disaster events within a geographic area (501,..., 531). Country-specific parameters (1211, 1212, 1213) are captured, relating to stored predefined criteria (1221, 1222, 1223). Disaster event types (101) are assigned to a disaster history table (10), wherein each disaster event type (101) comprises a plurality of type-specific measuring parameters of historical natural disaster events and type-specific loss frequency function parameters (102) that provide a corresponding loss frequency function (103). Risk mapping parameters (201) for capturing a geographic risk map (20) are stored defining danger zones for the specific natural disaster event type (101). A selectable disaster financing means (30) is assigned to a definable cost factor (301, 302, 303) capturing the capital cost of the disaster financing means (30) in relation to its application for disaster mitigation, wherein a variable budgetary share factor (411, 412, 413) can be allocated and adapted, thus defining a coverage structure (401) in case of a catastrophic disaster event. Finally, expected catastrophe losses are determined by means of the loss frequency function (103) and the geographic risk map (20) for various scenarios of occurring natural disaster event types (101) and a forecast of the effect of the disaster financing means (30) is prepared based on the coverage structure (401), the assigned cost factors (301), and the determined expected catastrophe losses.


Patent
SWISS REINSURANCE Co. | Date: 2014-06-02

The invention relates to an automated risk monitoring method and a corresponding risk monitoring system for automated risk monitoring, in the case of which control data for different companies are transferred to a monitoring unit and evaluated, a company specific asset distribution and a corresponding threshold value being determined, said threshold value corresponding to the expected value of the asset parameter for the occurrence of the insolvency of a company, recovery rate factors being determined by means of a standardization module of the monitoring unit, and wherein, using a MonteCarlo module of the monitoring unit (20), MonteCarlo asset parameters are generated for each company by means of which the companies with the lowest expected recovery rate factors are determined and dynamic adjustment of the portfolio accordingly made by means of the monitoring unit.


A system for providing a dynamically morphing, self-sufficient risk protection structure, the system including: risk exposure components that are connected to a first insurance system of the system and that transfer risk exposure associated with an occurrence of defined risk events from the risk exposure components to the first insurance system based on equitable, mutually aligned first risk transfer parameters and correlated aligned first payment transfer parameters, and the first insurance system that is connected to a second insurance system of the system and that transfers risk exposure associated with the occurrence of the defined risk events from the first insurance system to the second insurance system based on equitable, mutually aligned second risk transfer parameters and correlated aligned second payment transfer parameters.


A method and system for forecasting the value of a structured financial product, which can be a weather-based structured financial product. The method and system calculate a forecast value based on forecasted weather data for a defined time period in a defined geographical area, calculate reference weather data from historical data for the defined time, and the defined geographical area, and calculate a quality indicator, indicative of a forecasting quality associated with the forecasted weather data, based on the forecasted weather data and the reference weather data.


Proposed are a system and a method for the automated measurement, accumulation and monitoring of diverging cyber risks, wherein risk components are exposed by electronic means of the risk components to a plurality of cyber risks. An accumulation device is used for the segmentation of the total cyber risk of a risk component by means of parametrizable risk exposure segments, and wherein, in a searchable trigger table, retrievably stored segmentation parameters are associated with corresponding measuring parameters for capturing the risk exposure of a specific risk exposure segment. The system comprises a trigger module that is connected to the risk components by means of capturing devices in order to dynamically defect and capture measuring values for the measuring parameters related to the occurrence of cyber risk events within the data pathway of said electronic means. By means of the accumulation device, the total risk is accumulated, segmentation by segmentation, by sequentially selecting the segmentation parameters from the trigger table and retrieving the associated measuring parameters for each of the segmentation parameters, and then triggering the trigger module based on the retrieved measuring parameters to capture measuring values for the retrieved measuring parameters from the risk components by means of the capturing devices.

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