Why is data quality important in Monte Carlo risk modeling?

Why is data quality important in Monte Carlo risk modeling?

• A. Data quality has no effect on outcomes.
• B. Poor data quality can bias inputs and lead to misestimated risk.
• C. Data quality only affects speed.
• D. Data quality only matters for formatting outputs.

Answer: (B)