Theoretical framework and an appropriate algorithm is developed to measure the nonstationarity (NS) of data streams. With the nonstationary measure, the properties of stock returns are studied. Three experiments illustrate that: the nonstationarity of stock return can not be diversified with big portfolio; nonstationarity, which can explain the risk premium, is positively related to the investing period.
Journal
Difference Equations, Discrete Dynamical Systems and Applications