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.
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