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As an insurance commodity with characteristic of investment, the Investment-Linked Insurance (ILI) has gradually become a new pipeline for people’s wealth management. This thesis proposes methods to analyze the performance of ILI’s investment part, with regard to both expected return and risk aspects. Specifically, the investment part of ILI is a dollar-cost averaging investment stategy. In such cases the internal rate of returns (IRR) measures can better capture the expected-return performance. For differing alternative investment strategies, Monte Carlo Simulation is run to simulate realized returns many (1000) times, this thesis finds that the influence on the annual rate of return is very little for differing payment periods. The portfolio rebalancing period and rebalancing principle are more influential. The results of study shows that adopting the Constant-Mix (CM) strategy may reduce the fluctuation of the rate of returns, and improve the average IRR.
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