Earthquake Risk Transfer for Iran

Earthquake Risk Transfer for Iran; Short-term earthquake loss
Fig.1 - Hashed circles represent current Earling undercover regions.

Iran is crisscrossed by major geological fault lines and has suffered several devastating earthquakes in recent years. On 9 July, Earling issued a preparedness alert for the south of Iran focused on Hormozgan. On July 13, an M4.7 earthquake hit North of Bandarabbas, which followed by 2 M4.7 and M5.7 quakes struck Hormozgan province in the South of Iran ion 22 July, a few hours after an M5.9 remained 287 injuries in West of Iran.

How EPA Affects Recent Insured Losses

Fig.2 - Kermanshah M7.3 earthquake and earthquake preparedness alert effect. EPA can increase the insured loss of the same event until $30 million in the short-term in 2020.

Fig.3 - Bam shallow 26 Dec 2003, 6.6 earthquake losses. More than 30,000 died. Insured losses were about $3 million. The maximum loss of life insurance after public EPA issued can be between $1.25 and $10 billion for such an event in 2020.

Fig.4 - Bojnourd, Northern Khorasan shallow M5.8 earthquake, and EPA effect on the same events in 2020. Insured losses were about $1 million compared with the $67 million total loss. EPA cause extending in earthquake insurance penetration rate. Therefore insured loss increases notably as the risk of a major earthquake getting high.

Iran short-term expected earthquake loss

Earthquake risks that need to be transferred? download the report.

Affordable Risk Transfer

Once a loss occurs, it is too late to revise an insurance policy. Consequently, the policyholder must be extremely diligent during policy purchase and renewal. Understanding specific insurance requirements, carefully calculating the property and business interruption values, outlining contingency plans, and anticipating the potential losses at each location are all key steps in maximizing future insurance recoveries. In sum, paying close attention to the potential impact of a loss at the insurance procurement stage will help to minimize issues and maximize recovery when a loss does occur.

Proposing the best time-window(s) for maximizing insurance coverage before a catastrophe is the Earling solution to transfer earthquake risks. Instead of 365 days insurance, maximize the current coverage only for a few days in each year.

Now that revising insurance policies once a loss occurs is too late, Earling helps to know the best time to transfer risk through new policies or extending the current coverage for a limited period of time for example only for 10 days and not for 365 days of year.
Maximizing insurance coverage after a catastrophic loss is difficult for any company but Earling Earthquake Preparedness Alerts assists to do it before a catastrophe occur.

Well Known Risk Takers

Tackle your risks with our solutions to the big players. We propose enterprise companies as well as SMEs and individualizes the best time to purchase a new earthquake policy or extending the current coverage to make it inexpensive.
risk takers
Currently, Japan, New Zealand, Greece, Turkey, Caribbean, Chile, Ecuador, Taiwan, Romania, Indonesia, California are the regions, which Munich Re accepts their risks. In addition, South Africa, Oklahoma and Utah are subject to further work. Also, between the regions that Earling issues Earthquake Preparedness Alerts, Japan, New Zealand, Caribbean, Chile, Ecuador, Taiwan, Indonesia and US (California, Utah) are undercover by Swiss Re to take the risks.

How we can help?

In general, Earling has a global seismic monitoring network and specialists that are subject matter experts. Regarding the challenges mentioned above, Earling is been able to deliver support.

  • In the pressure on profitability, performance management and key performance indicator settings.
  • In the entrance of parametric insurance markets and issuing alternative products, Earling can deliver independent advice by our global resources.
  • To keep control on the impact of catastrophic events, Earling can assist in optimizing, validating on Cat and reinsurance programs modelling.