General Insurance Article - Typhoon Hagibis in Japan could lead to losses of USD7bn


Following analysis of the impact of Typhoon Hagibis to Japan, RMS estimated insured losses to be between USD $7 billion to $11 billion.

 This estimate includes property damage and business interruption caused by typhoon wind and typhoon flood to the following (includes both the private and kyosai/mutual markets):

 • Residential
 • Commercial
 • Industrial
 • Marine
 • Automobile lines

 Additional factors for post-event loss amplification and non-modeled losses include demand surge and claims inflation impacts associated with overlapping of areas impacted by the recent Typhoon Faxai, and widespread damage to infrastructure.

 The industry loss estimate is informed based on analysis of the RMS reconstructed wind field and flood footprint using the RMS® Japan Typhoon HD model. In addition, the estimate includes additional factors based on data and insights from field reconnaissance by RMS modelers. The circumstances of this event–chiefly,

 Typhoon Faxai hitting one month earlier and the ensuing widespread flooding–make Hagibis a complex event to model. Three RMS teams surveyed affected areas over two weeks to better understand this event. Field reconnaissance provides factual details about the geographical extent and severity of hazard and impact that cannot be ascertained readily through photographs of the damage circulated in the media.

 The combined losses from the two recent storms, Typhoon Hagibis and Typhoon Faxai (between USD $5 billion to $9 billion), could rival insured losses from Typhoon Jebi that struck Japan last year.
  

Back to Index


Similar News to this Story

IPT receipts for 2024 to 2025 hits over GB7bn in January
According to this morning’s HMRC data, Insurance Premium Tax (“IPT”) receipts stood at £853 million in January 2025, bringing the 10-month total for t
Unlocking the potential of IFRS17 insights and opportunities
As mentioned in part one of this blog series, IFRS 17 has reshaped financial reporting for insurance contracts since its implementation on 1 January 2
Lack of expertise main barrier to AI adoption in insurance
A lack of expertise within insurance companies is the biggest challenge to implementing artificial intelligence (AI) technology. As AI has the potenti

Site Search

Exact   Any  

Latest Actuarial Jobs

Actuarial Login

Email
Password
 Jobseeker    Client
Reminder Logon

APA Sponsors

Actuarial Jobs & News Feeds

Jobs RSS News RSS

WikiActuary

Be the first to contribute to our definitive actuarial reference forum. Built by actuaries for actuaries.