Spectral and distortion risk measures

In this thesis we define risk measures as a way of quantifying the risk of an invest- ment and we formulate their essential properties, focusing mainly on coherency. Then we define the notions of admissible spectrum and spectral risk measures. Next we define the distortion function and distortion risk measures. We examine their core properties, relati- onships to coherency and formulate theorems describing their mutual equivalence with respect to the task of portfolio optimization. Lastly we tackle the problem of portfolio optimization on numerical data with respect to the MINVAR distortion function and its different values of the risk aversion parameter.