To improve the security of asset securitization and reduce investment risk, the risk reduction methods of asset securitization are investigated. First, the risk and return of investment are measured using multiple methods, and several portfolio methods are introduced. Second, there are problems of fraud risk, underlying assets, and asymmetry risk when assets are being transformed into securitization. The blockchain technology is used to reduce the probability of these risks and improve investment security. Finally, the artificial bee colony (ABC) algorithm is applied to the optimization of the blockchain investment portfolio. Since the traditional ABC algorithm can only solve the problem of single-objective optimization, an external population is constructed to improve it. The results show that the improved ABC algorithm can simultaneously optimize multiple features in the investment portfolio, reduce the error of investors when making decisions, and improve the balance between investment returns and risks. At the same time, after the algorithm is evaluated, it is found that the accuracy and practicality have been improved to a certain extent. Also, it is proved that the ABC algorithm can solve the problem of portfolio optimization, improve the security of asset securitization, and ensure the balance of investment return and risk to a certain extent.

为了提高资产证券化的安全性并降低投资风险，研究了资产证券化降低风险的方法。首先，使用多种方法来衡量投资的风险和回报，并介绍几种投资组合方法。其次，当资产转换为证券化时，存在欺诈风险，基础资产和不对称风险的问题。区块链技术用于降低这些风险的可能性并提高投资安全性。最后，将人工蜂群（ABC）算法应用于区块链投资组合的优化。由于传统的ABC算法只能解决单目标优化的问题，因此构建了一个外部种群对其进行改进。结果表明，改进的ABC算法可以同时优化投资组合的多个特征，减少投资者决策时的错误，提高投资收益与风险之间的平衡。同时，对算法进行评估，发现其准确性和实用性都有一定程度的提高。并且证明了ABC算法可以解决投资组合优化问题，提高资产证券化的安全性，并在一定程度上保证投资收益与风险之间的平衡。发现在一定程度上提高了准确性和实用性。并且证明了ABC算法可以解决投资组合优化问题，提高资产证券化的安全性，并在一定程度上保证投资收益与风险之间的平衡。发现在一定程度上提高了准确性和实用性。并且证明了ABC算法可以解决投资组合优化问题，提高资产证券化的安全性，并在一定程度上保证投资收益与风险之间的平衡。