Appendix 22.1: Covariance Matrix Estimation
Consider the simplest case with two return series for and for where . Truncation to S would imply that means be equal to their maximum likelihood estimates:
Here, and are the sample MLE for the truncated sample of size S. Similarly, the MLE covariance matrix based upon S is equal to:
where are scalars. The parameters and are typically ...