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Baby formula

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The 2022 disruption of Abbott Nutrition’s baby formula plant in Sturgis, Michigan demonstrates the impact of exponential risks. At the start of 2022, the industry was under production pressure due to materials shortages and pandemic-related supply chain issues. By May 2022, 43% of formula products were out of stock nationwide.1 In June, an extreme weather event hit the Sturgis facility, forcing it offline.

The failure of a single plant quickly became a national challenge for families and the Biden administration, as out of stock rates hit 90% or more in 10 U.S. states. Abbott faced compounding risks with financial impacts for customers, suppliers, commercial real estate companies, insurers, and banks.

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Unexpected knock-on risks from Russia’s war in Ukraine

Unexpected knock-on risks from Russia’s war in Ukraine

  • Energy security risk with shrinking market access to Russian hydrocarbons
  • Commodity price increases — especially food due to loss of Ukrainian grain
  • Refugee outflows from Ukraine into central and western Europe
  • Credit risk for multinationals with high direct exposure to Russian market
  • Elevated cyber risk throughout supply chains
  • Production delays and manufacturing bottlenecks caused by energy price shocks
  • Compliance risk in response to state sanctions
  • Geopolitical reconfiguration and increased great power competition
  • Inflation risk, cost of living crisis, and corresponding political risk

$1 trillion increase between 2019 and 2022 in the collective debt rated by Moody’s which has ‘high’ or ‘very high’ exposure to cyber risk.

$1 trillion increase between 2019 and 2022 in the collective debt rated by Moody’s which has ‘high’ or ‘very high’ exposure to cyber risk.

Out of stock rates for formula products hit 90% or more in 10 U.S. states.

Out of stock rates for formula products hit 90% or more in 10 U.S. states.

“More and more management teams want to understand their exposure to extreme weather risk — across their operations and right down to the individual facility level. By bringing together historical and predictive data streams with natural catastrophe risk modeling, organizations can build resilience and make better business planning decisions that protect and enhance value.”

– Robert Muir-Wood


Chief Risk Officer, Moody’s RMS

“Investors and operators who can better anticipate developments in commercial real estate by piecing together previously separate data sets on occupancy rates, deal flow, and energy efficiency standards will be well-placed to capitalize — while those who are caught off guard risk losing out on financial value.”

– Luis Amador


General Manager, Commercial Real Estate, Moody’s Analytics