Monte Carlo — Risk-Neutral GBMUSD

European Call

Terminal-value simulation benchmarked against Black-Scholes-Merton.

Running simulation

Estimated Price

Simulating...

Statistical estimate unavailable

Discounted Monte Carlo mean

Delta

Simulating...

Statistical estimate unavailable

Sensitivity to one spot unit

Gamma

Simulating...

Statistical estimate unavailable

Change in Delta per spot unit

Vega

Simulating...

Statistical estimate unavailable

Sensitivity per volatility point

Theta

Simulating...

Statistical estimate unavailable

Sensitivity per calendar day

Rho

Simulating...

Statistical estimate unavailable

Sensitivity per rate point

Statistical Diagnostics

Precision and reproducibility metadata for the latest completed run

Confidence Interval

Unavailable

Two-sided normal interval

Sample Standard Deviation

Unavailable

Dispersion of discounted payoff samples

Standard Error

Unavailable

Estimated uncertainty of the sample mean

Number of Paths

Unavailable

Requested simulated paths

Effective Samples

Unavailable

Independent observations used for uncertainty

Time Steps

Unavailable

Monitoring intervals

Seed

Unavailable

Replay identifier

Computation Time

Unavailable

Plain sampling

Analytical Validation

Monte Carlo estimate compared with Black-Scholes-Merton

Analytical Price

Unavailable

Absolute Difference

Unavailable

Difference in Standard Errors

Unavailable

Absolute difference divided by Monte Carlo SE

Monte Carlo returns a statistical estimate, not an exact value. The confidence interval quantifies sampling uncertainty under the model.

European options use the exact terminal GBM distribution, so one time step is sufficient.