Research on Asset Allocation of Insurance Companies Based on Mean-Variance Model

摘要

As a debt-based financial institution, the core work of insurance company management is asset allocation, and portfolio planning is one of the key links in the company's asset allocation. Starting from the Markowitz's Mean-Variance Model, combined with the regulatory requirements of China's insurance industry and the actual situation of the capital market, this paper improves the model by adding constraints, and establishes a nonlinear programming model suitable for asset allocation of insurance companies in China. The model strives to use the scientific quantitative model to select the optimal allocation plan that accords with the company's risk preference, and improve the efficiency of insurance funds. Furthermore, this paper takes the PING AN INSURANCE COMPANY as the background, solves the model through LINGO software, and conducts empirical analysis on the output. Finally, based on the empirical analysis, the feasibility and practical significance of the model are verified, and policy recommendations are proposed accordingly.