a. What is the aim of robust portfolio management?

Determining portfolio weights in a process that is robust against small changes in input data.

Achieving a portfolio with minimal volatility.

Setting up a portfolio management process with minimal fees.

Selecting portfolio managers that are robust against complaints of disappointed clients.

Picking single stocks that have high and robust correlations.

b. What is correct for a Markowitz portfolio optimization?

Markowitz relies on Monte Carlo simulations of returns.

Markowitz is not usually sensitive to input parameter estimation errors.

Markowitz delivers more stable allocations than Black/Litterman.

Markowitz needs fewer parameters than Black/Litterman.

Markowitz does not need expectation values of returns.

c) What is the advantage of P/E multipliers?

This is the method of choice for evaluating startup companies.

This is a more precise estimation than a cash flow-based model.

DP/E ratios are independent of accounting rules.

Market P/E ratios are readily available.

P/E ratios are consistent regarding long-term earnings scenarios.