Me and my team has recently bought access to market data for sovereign bonds from Latin America countries. We are interested in finding a suitable outlier detection method to detect eventual errors in our data.
We have been googling multivariate outlier detection and found Robust Mahalanobis Distances as a possible tool. Has anyone in here had experience with bond data outlier detection using RMD?
Please discuss/make suggestions how we could/should tackle this problem