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The analysis of tree rings to provide information on past climates.

Read Bloomberg’s 2018 scenario analysis

Notes
The two scenarios we’re sharing discuss Bloomberg’s performance in the following potential futures:

Low-carbon future (1.5° Celsius)

  • A rapid transition to a low-carbon economy, where technological advances and policy changes limit the warming of Earth’s temperature to less than 1.5° Celsius (2.7° Fahrenheit) above pre-industrial levels
  • While likely less destabilizing to the planet than more gradual transitions to a low-carbon future, this scenario is more disruptive for the markets since industries must adjust quickly

Extreme global warming (4° Celsius)

  • A limited-mitigation scenario, where little or no concerted mitigation action is taken and climate change continues on its current projected path
  • Earth’s temperatures warm significantly more than 1.5° Celsius, with catastrophic consequences

While we shared our 2° Celsius scenario last year, this year we are highlighting our 1.5° Celsius scenario. As rapid decarbonization of the economy presents more policy and market risks, we wanted to show how our business can address these risks. Limiting the temperature increase to 1.5°C above pre-industrial levels rather than 2°C would significantly reduce the damaging effects of climate change on human health and safety, and Bloomberg advocates pursuing this more ambitious goal.

These scenarios are not forecasts or predictions of the future, but a way for us to imagine plausible future worlds and plan for resilience.

To help us determine when certain portions of our business may be most impacted, we have analyzed the impact of climate change over three time frames: short (1-3 years), medium (4-7 years) and long (8-10 years). We indicate when the scenario will most significantly impact each type of risk or opportunity, but the impact quantification applies to the full 10-year period of analysis.

Bloomberg, as a private company, does not release segment financial information due to confidentiality constraints. In lieu of exact figures, a best practice recommended by the TCFD, we have provided directional percentages.