Asset-liability management is the core business of commercial banks. Effective method of asset-liability management is a continuously exploring topic in the academic and practical fields. According to the operational characteristics of commercial banks, this paper addresses a segmented dynamic optimization model under the perspective of the regulatory environment for China commercial banks. The model can perform segmented sliding optimization and correct control variables to make optimal decision with the changes in situations for a certain future time.The theories on the operation and management of commercial banks have evolved for several decades, from the real-bills doctrine [1] to the asset shiftability theory [2] , the anticipated income theory [3] , the liability management theory [4] , and then to the assetliability management theory [4] . China and international scholars have come up with a lot of asset-liability management models, e.g., the asset allocation decisionmaking model [5][6] , the asset-liability portfolio rationing model [7][8] , the non-liquidity dynamic portfolio selection model [9] , and the two-stage optimization model [10] . These models provided useful guidance for improving the asset-liability management of commercial banks. In practice, commercial banks also have conducted extensive studies [11] . They may minimize risks and increase income by using approaches, such as the interest rate sensitivity gap, the duration gap and the target ratio and linear planning, to match the level of assets and liabilities. In recent years, China commercial banks attached more and more importance to the asset-liability management. However, due to the objective environment of the market and the management techniques and business concepts of commercial banks, currently