easy · FRM Part 1 Quantitative Analysis
Formula-and-meaning check before application in Quantitative Analysis.
Within Quant — Monte Carlo Simulation & Bootstrapping, which statement correctly describes Convergence?
- movement of a simulation estimate toward its target as trials increase
- dependence of payoff on the sequence of values, not only the final value
- repeated random sampling from a model to approximate an outcome distribution
- sampling uncertainty that generally declines with the square root of simulation count
Sign up free to see the explanation and track your rank →
More FRM Part 1 Quantitative Analysis practice
- If the correlation between two assets is -1.0, what does this indicate about their co-move
- A probability distribution that is asymmetric and has a significantly long tail extending
- If an analyst says a return series has 'fat tails,' what does this imply for a risk model
- The normal distribution is characterized by its symmetry. What is the theoretical skewness
- What happens to the standard error of the mean if the sample size is quadrupled?
- A single discrete trial that results in exactly one of two possible outcomes (success or f
- How does the mean of a lognormal distribution compare to the mean of its associated normal
- In Bayesian inference, what does the term 'Updating' refer to?