RISK MANAGEMENT DEVICE

• US 20140297359A1
• Filed: 03/23/2012
• Published: 10/02/2014
• Est. Priority Date: 03/29/2011
• Status: Abandoned Application

• Current Assignee: NEC Corporation
• Original Assignee: NEC Corporation
• Inventors: Morinaga, Satoshi, Imamura, Satoru
• Application Number:
  US13/977,321
• Publication Number:
  US 20140297359A1
• Time in Patent Office: Days
• US Class Current: 705/7.28
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/0833 Tracking
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

A risk management device includes: a memory for storing risk weighing data and a threshold risk amount, the risk weighing data including a plurality of scenario data each including a combination of a loss event content, loss occurrence frequency and a loss amount; and a processor. The processor is programmed to calculate post-change risk weighing data obtained by changing only loss occurrence frequency or a loss amount of one specific scenario data of the risk weighing data and transmit to a risk weighing device, and repeatedly executing a process of comparing a risk amount received from the risk weighing device with the threshold risk amount while changing a change width of the loss occurrence frequency or the loss amount, thereby performing calculation of an increase rate of the loss occurrence frequency or the loss amount of the specific scenario data such that a risk amount reaches the threshold risk amount.

Claims

1. A risk management device, comprising:

a memory for storing risk weighing data and a threshold risk amount, the risk weighing data including a plurality of scenario data each including a combination of a loss event content, loss occurrence frequency and a loss amount, and the threshold risk amount being set to a larger value than a risk amount weighed by a risk weighing device weighing the risk amount based on the risk weighing data;

a communication interface for performing communication with the risk weighing device; and

a processor connected to the memory and the communication interface,

wherein the processor is programmed to repeat a process of calculating post-change risk weighing data obtained by changing only loss occurrence frequency or a loss amount of one specific scenario data of the risk weighing data, transmitting to the risk weighing device and comparing a risk amount received from the risk weighing device with the threshold risk amount, while changing a change width of the loss occurrence frequency or the loss amount, thereby performing calculation of an increase rate of the loss occurrence frequency or the loss amount of the specific scenario data such that a risk amount weighed by the risk weighing device reaches the threshold risk amount.

2. The risk management device according to claim 1, wherein the processor is further programmed to change the one specific scenario data to other scenario data and repeat the calculation of the increase rate.

3. The risk management device according to claim 1, wherein:

the memory is further configured to store distribution destination information; and

the processor is further programmed to notify a reverse stress test result including the increase rate calculated with respect to the specific scenario data to a distribution destination specified by the distribution destination information.

4. The risk management device according to claim 1, wherein:

the memory is further configured to store distribution destination information and a distribution condition; and

the processor is further programmed to determine a distribution destination of a reverse stress test result including the increase rate calculated with respect to the specific scenario data based on the distribution destination information and the distribution condition, and notify the reverse stress test result to the determined distribution destination.

5. The risk management device according to any of claims 1 to 4, claim 1, wherein:

the memory is further configured to store target scenario information showing one or more scenario data subjected to change of the loss occurrence frequency or the loss amount; and

the processor is further programmed to select the specific scenario data from the scenario data designated in the target scenario information.

6. The risk management device according to claim 5, wherein:

the memory is further configured to store a coefficient table holding, in association with the loss occurrence frequency, a coefficient equal to a value of a number of occurrences at a lower α

% point (α

is a predetermined constant) in a cumulative distribution function of a probability distribution with the loss occurrence frequency as a parameter; and

the processor is further programmed to, for each of the scenario data included in the risk weighing data, calculate a product of a coefficient held in the coefficient table in association with loss occurrence frequency included in the scenario data and a loss amount included in the scenario data as an individual data VaR amount, generate information showing all or part of scenario data that the calculated individual data VaR amount is equal to or more than a standard value as the target scenario information, and store into the memory.

7. A risk management method executed by a risk management device including:

a memory for storing risk weighing data and a threshold risk amount, the risk weighing data including a plurality of scenario data each including a combination of a loss event content, loss occurrence frequency and a loss amount, and the threshold risk amount being set to a larger value than a risk amount weighed by a risk weighing device weighing the risk amount based on the risk weighing data;

a communication interface for performing communication with the risk weighing device; and

a processor connected to the memory and the communication interface,

the risk management method comprising;

by the processor, repeating a process of calculating post-change risk weighing data obtained by changing only loss occurrence frequency or a loss amount of one specific scenario data of the risk weighing data, transmitting to the risk weighing device and comparing a risk amount received from the risk weighing device with the threshold risk amount, while changing a change width of the loss occurrence frequency or the loss amount, thereby performing calculation of an increase rate of the loss occurrence frequency or the loss amount of the specific scenario data such that a risk amount weighed by the risk weighing device reaches the threshold risk amount.

8. The risk management method according to claim 7, further comprising:

by the processor, changing the one specific scenario data to other scenario data and repeating the calculation of the increase rate.

9. The risk management method according to claim 7 or 8, further comprising:

by the memory, storing distribution destination information; and

by the processor, notifying a reverse stress test result including the increase rate calculated with respect to the specific scenario data to a distribution destination specified by the distribution destination information.

10. The risk management method according to claim 7 or 8, further comprising:

by the memory, storing distribution destination information and a distribution condition; and

by the processor, determining a distribution destination of a reverse stress test result including the increase rate calculated with respect to the specific scenario data based on the distribution destination information and the distribution condition, and notifying the reverse stress test result to the determined distribution destination.

11. The risk management method according to any of claims 7 to 10, claim 7, further comprising:

by the memory, storing target scenario information showing one or more scenario data subjected to change of the loss occurrence frequency or the loss amount; and

by the processor, selecting the specific scenario data from the scenario data designated in the target scenario information.

12. The risk management method according to claim 11, further comprising:

by the memory, storing a coefficient table holding, in association with the loss occurrence frequency, a coefficient equal to a value of a number of occurrences at a lower α

% point (α

is a predetermined constant) in a cumulative distribution function of a probability distribution with the loss occurrence frequency as a parameter; and

by the processor, for each of the scenario data included in the risk weighing data, calculating a product of a coefficient held in the coefficient table in association with loss occurrence frequency included in the scenario data and a loss amount included in the scenario data as an individual data VaR amount, generating information showing all or part of scenario data that the calculated individual data VaR amount is equal to or more than a standard value as the target scenario information, and storing into the memory.

13. A non-transitory computer-readable medium storing a program comprising instructions for causing a processor, which is connected to a memory for storing risk weighing data and a threshold risk amount, the risk weighing data including a plurality of scenario data each including a combination of a loss event content, loss occurrence frequency and a loss amount, and the threshold risk amount being set to a larger value than a risk amount weighed by a risk weighing device weighing the risk amount based on the risk weighing data and which is connected to a communication interface for performing communication with the risk weighing device, to perform operations including:

repeating a process of calculating post-change risk weighing data obtained by changing only loss occurrence frequency or a loss amount of one specific scenario data of the risk weighing data, transmitting to the risk weighing device and comparing a risk amount received from the risk weighing device with the threshold risk amount, while changing a change width of the loss occurrence frequency or the loss amount, thereby performing calculation of an increase rate of the loss occurrence frequency or the loss amount of the specific scenario data such that a risk amount weighed by the risk weighing device reaches the threshold risk amount.