Need Economics or Finance Professor who is knowledgeable about Robust Optimization for Portfolios

I need help answering these questions. I am a doctoral student at a university, and I am advising a bachelor students thesis on robust optimization of portfolios. Unfortunately, I was unable to help him answer these questions and my superior professor was too busy. Here are the questions:

1.) what are the conditions required to use Shrinkage estimators for example to solve the problem of covariance matrix ?

2- Which models are better for non-normal data and which models are better for normal data ?

3- If we have difference between error term of mean and error term of covariance matrix ,so we have 3 assumptions to solve :

a) minimise error in mean separately b) maximise error in co-variance matrix separately c) minimise mean and maximise co-variance matrix in same time

How can you implement these assumptions precisely

4- what are the conditions to use robust estimation and robust optimization ?
About the recuiter
Member since Nov 11, 2022
Arabic Flower
from Toyama, Japan

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