Defines which scenario values to use for the late & sudden trajectory in the stress test.

Picks the corresponding values from the original scenario column indicated in the input and has the option to include PACTA based production forecast for the first few years of the late & sudden trajectory. Similarly, it is possible to define another input scenario in case the company is already aligned after the production forecast. If the production forecast is included, the trajectory after the end of the production forecast is offset by the initial production forecast so that the remainder of the late & sudden trajectory now is a parallel shift of the original scenario values. If not included, the trajectories replicate externally provided scenario trajectories at least until the year of the policy shock. Trajectories are calculated for each company by sector, scenario_geography, technology, year. If no "company_id" or "company_name" are provided, the calculation switches to portfolio/technology level.

Usage

set_trisk_trajectory(data, start_year, shock_year)

Arguments

data

A dataframe that contains the scenario data prepared until the step after the baseline trajectories are calculated.

start_year

Numeric. A numeric vector of length 1 that contains the start year of the analysis.

shock_year

Numeric. the shock year.

Value

data frame

See also

Other scenario definition: set_baseline_trajectory()