{"id":12608,"date":"2016-11-04T16:47:09","date_gmt":"2016-11-04T20:47:09","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-rctom\/submission\/how-can-axa-manage-the-risks-of-climate-change-in-the-insurance-industry\/"},"modified":"2016-11-04T16:48:46","modified_gmt":"2016-11-04T20:48:46","slug":"how-can-axa-manage-the-risks-of-climate-change-in-the-insurance-industry","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-rctom\/submission\/how-can-axa-manage-the-risks-of-climate-change-in-the-insurance-industry\/","title":{"rendered":"How can Axa manage the risks of climate change in the insurance industry?"},"content":{"rendered":"

The traditional way for insurers to calculate premiums for Property\u00a0Damage\u00a0Liability\u00a0Insurance Coverage is through the use of statistics and historical models. The risk analyzed for the premium calculations comes from considering probable loss, frequency, and severity of claims that are expected to happen in the future. In the past there had been a high stability on climate impact in insured property, however, weather-related losses have increased nearly fourfold in the United States since 1980 leading to $560 billion in insured losses from 1980 to 2015[1]<\/a>. The main causes have been prolonged droughts, hurricanes, floods and severe storms directly impacted by climate change. The overall cost of the risks associated with climate change has been estimated at 5% global GDP.[2]<\/a><\/p>\n

Exhibit 1: Number of Natural Disasters in the United States 1980- First Half 2016[3]<\/a><\/p>\n

\"axa-graph\"<\/a><\/p>\n

A challenge brought on by climate change to insurers is that historical data is not as reliable as it used to be. Climate change is causing natural disasters to be more frequent and have an increased severity. Since insurers are the ones who are taking the risk generated by climate change, there are two options they can apply into their business model to mitigate this risk.<\/p>\n

The simplest option is to include the climate change variable into their premium calculation models, which would in return increase the premium they are currently charging. This proposal brings up two main problems:<\/p>\n

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  1. How do we calculate the additional premium insurance companies are supposed to charge?<\/li>\n
  2. How are the clients going to handle a larger price in their insurance premiums?<\/li>\n<\/ol>\n

    One of the problems with pricing is that currently, it is not possible to use climate-change models directly as inputs into the pricing model, mainly because the models are highly variable and have failed to accurately predict the impact of climate change. The other problem is that in the short-term premium costs are driven by supply and demand and do not clearly represent in many cases the long-term risks. If we were to add these costs to our premiums we would lose a lot of business to competitors who have not yet included this variable into their models.<\/p>\n

    Adding problems to the model, one of the main losses come from hurricanes. If we want to use historical data to predict the impact of climate change, we have a very small amount of data to work with. Hurricane observation equipment did not exist before the satellite era, which is relatively recent compared to the data insurers tend to use for their calculations.<\/p>\n

    To deal the issues that climate change has generated in its operations, Axa has started generating several strategies to mitigate these problems[4]<\/a>:<\/p>\n

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    1. Using all their data to raise awareness of the issue to both governments and companies\n