This work focuses on the theoretical framework for estimating financial risk measures. We propose and discuss various estimation procedures, namely estimation using Lorenz curves, estimation via random sets, and estimation under risk neutral distributions. We also touch upon the above estimation procedures when the underlying distribution is heavy-tailed.