> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fincept.in/llms.txt
> Use this file to discover all available pages before exploring further.

# Scenario simulation

> Sample future paths of fitted statistical models (ARIMA, ETS, CES, Theta, exponential smoothing, benchmarks) with normal, Student t, Laplace, skew-normal, generalized-error or bootstrapped errors: quantile fans, path statistics and raw sample paths for risk and scenario analysis.

Toolset `tsforecast_scenarios`: 1 tool.

| Tool | What it does | Notes |
| - | - | - |
| `tsforecast_simulate` | Simulates n\_paths future paths of h periods from statistical models fitted to one series (y) or every series of a panel (data), with normal, Student t, Laplace, skew-normal, generalized-error or bootstrapped errors. | |

Inputs, limits and outputs are described in [Fincept TS Forecast](/guides/fincept-ts-forecast). Full schemas: `fincept_describe_tool`.


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