Portfolio selection is an important research topic in the field of
finance, but typically, existing portfolio models cover a single
investment period and are static, while real-world investors operate
dynamically over multiple periods. So multi-period portfolio selection
models have been studied widely in recent years. This book mainly
discusses the efficient frontier of the mean-VaR model for multi-period
portfolio selection, and the algorithm and model for multi-period
portfolio selection including uncertainty. Its main contents are as
follows: firstly, effective solutions are given for the mean-VaR model
for multi-period portfolio selection, and the efficient frontier problem
is discussed. We then introduce credibility safety standards-based
multi-period portfolio selection and fuzzy entropy-based multi-period
portfolio selection models. We also present an empirical study for the
two types of model.