Research method
Monte Carlo simulation
Monte Carlo simulation is a canonical archive-taxonomy method; this registry entry defines its inputs, output and use boundary.
- Output
- Conditional forecast or research filter
- Input
- Ordered price, volume or breadth observations
- Horizon
- A defined sampling interval and lookback
- Best use
- Compare an explicit quantitative baseline with an out-of-sample result.
- Input: Ordered price, volume or breadth observations.
- Output: forecast.
- Use boundary: Compare an explicit quantitative baseline with an out-of-sample result.
The graph3
How the method is built, and where it has been read
Depends on
Often reviewed together
Expected value4 readings
Often reviewed together
Volatility position sizing5 readings
Often reviewed together
Risk of ruin5 readings
Read in the archive1 reading
This registry entry describes a research method. It is not investment advice and does not make a performance claim.