Roman Hohl is one of the best-known agricultural reinsurance underwriters in the industry. He has worked on most primary aspects of agri­cultural risk transfer, including work for reinsurance companies such as Partner Re, Converium and Swiss Re. With these companies, he built agricultural underwriting teams and developed new insurance schemes. He also led the development of agricultural risk models for India and China at the Asia Risk Centre, a leading agricultural risk modelling company which is now part of Risk Management Solutions (RMS).

Having worked in Singapore for 6 years and been at the forefront of the development of agricultural insurance in China, India and Southeast Asia, Dr Hohl has a deep understanding of the challenges of emerging markets. He has held various advisory appointments, including with the World Economic Forum (food security in Southeast Asia) and the Monetary Authority of Singapore (catastrophe risk assessment). He has also served as adjunct professor and deputy director at the Institute of Catastrophe Risk Management (ICRM) of the Nanyang Technological University in Singapore.

Agricultural Risk Transfer is an outstanding source of technical information combined with real-world experience by a seasoned industry expert and should be in the bookshelf of every professional in the agricultural (re)insurance industry. References to numerous industry case studies and links to opensource data nicely facilitate the understanding of the key concepts.
— Dr Lambert Muhr, Head Agriculture North- and Latin-America, Munich Re (Germany)

He currently supports the industry through advisory mandates including work for the International Finance Corporation (World Bank Group) in developing index-based risk transfer solutions. Dr Hohl also collaborates with the University of Wisconsin-Madison (USA) and the National University of Singapore on modelling agricultural risks, food security and risk transfer.

Roman holds a PhD in Geoscience (Atmosphere) from the University of Fribourg (Switzerland). Research from his PhD thesis was used to develop the first probabilistic hail model for the European insurance industry. He has contributed numerous articles to research journals and the risk transfer media, including television interviews.


Some of My Projects

Working for reinsurance companies, leading a risk modelling company and interacting with academia, took me to interesting field visits, conferences and projects.

YAKS IN TIBET: Reinsuring semi-nomadic livestock in Tibet   Read more →

YAKS IN TIBET: Reinsuring semi-nomadic livestock in Tibet

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CITRUS IN PUNJAB: Investigating insurability of citrus plantations   Read more   →

CITRUS IN PUNJAB: Investigating insurability of citrus plantations

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INSURANCE PILOT IN VIETNAM: Supporting the development of agricultural insurance   Read more   →

INSURANCE PILOT IN VIETNAM: Supporting the development of agricultural insurance

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CAT MODELS AND FOOD SECURITY: Reflecting how catastrophe models can be used to assess food security   Read more   →

CAT MODELS AND FOOD SECURITY: Reflecting how catastrophe models can be used to assess food security

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CONFERENCES & PUBLICATIONS: Explaining risk transfer   Read more   →

CONFERENCES & PUBLICATIONS: Explaining risk transfer

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INSURANCE BOOM IN CHINA: Attending Anhua’s Conference   Read more   →

INSURANCE BOOM IN CHINA: Attending Anhua’s Conference

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DROUGHT INDEX CENTRAL JAVA: Developing the concept of macro-level drought risk transfer   Read more   →

DROUGHT INDEX CENTRAL JAVA: Developing the concept of macro-level drought risk transfer

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DROUGHT INDEX IN SHANDONG: Co-supervising a PhD student in weather index development   Read more   →

DROUGHT INDEX IN SHANDONG: Co-supervising a PhD student in weather index development

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MODELLING HAIL RISK: From tree rings to the first probabilistic hail model in Europe   Read more   →

MODELLING HAIL RISK: From tree rings to the first probabilistic hail model in Europe

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POULTRY IN TURKEY: Understanding risks of chicken farming   Read more   →

POULTRY IN TURKEY: Understanding risks of chicken farming

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