Blogbeiträge | Gen Re

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Home-Sharing Risks in the Age of Airbnb

Von Christine Unger |February 28, 2017|English

The meteoric rise of Airbnb is the most obvious sign of the growth in U.S. home-sharing. According to Pew Research, 11% of all U.S. adults have used home-sharing services and it’s estimated that there are now over half a million Airbnb listings...
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Texas Flooding

Von Tedra Skelton and Maeve Sears |January 19, 2017|English

“Texas is the land of perennial drought, broken by the occasional devastating flood” said a National Weather Service Meteorologist in 1927.1 Texas flooding is not a new phenomenon, but some could argue that devastating floods aren’t...
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Engineered Wood – A Burning Issue for Insurers?

Von Leo Ronken |January 16, 2017|English

Wood-based buildings and high-rises are increasingly common around the world. People are even talking about engineered wood becoming the world’s predominant construction material. But insurers need to be aware of the potential downside risks...
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The Key to Underwriting Flood Successfully [Video]

Von Tim Pappas |May 19, 2016|English

Innovations in modeling and technology are changing the way the industry underwrites flood risks, but they are only a starting point to truly understanding the risk. Transforming that information into knowledge is the key to underwriting flood successfully. View...
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What’s Fueling Record Wildfires in the U.S.? [Infographic]

Von Chris Beston|September 16, 2015|English

As wildfires continue to burn throughout the western states, there are specific areas of concern for underwriters. As part three of our wildfire series, this Infographic gives an overview of the current wildfire situation in the U.S. and provides a...
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Predicting a New Toolkit for Claims Professionals

Von Bill Lentz |January 22, 2014|English

Predictive analytics techniques are widely used in the insurance industry today, usually for actuarial and underwriting purposes. Using analysis of patterns in past events to model future outcomes or behaviors has made huge strides, largely thanks to...
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