Due to the defects of Merrill Lynch Clock, this paper aims to put forward Pringle Clock for theoretical improvement. In addition, strategic optimization for Pringle from perspectives including indicators, assets and timing is made, and finally its effectiveness in domestic market is tested. The results show as follows. 1) Stages of the Pringle cycle divided by three indexes (leading, consistent and lagging) can accurately grasp allocation opportunities of assets in different categories. 2) Researches and investments in the subdivided industries of the equity market are conducive to improving portfolio returns, and Markowitz mean-variance model can be used for portfolio optimization.3) Selecting appropriate leading interest rate indicators (by using wavelet cross analysis) and predicting the characteristics of the next stage in advance (by using VAR model) are of great help to improve the flexible timing ability of the asset allocation strategies.

Based on entropy weight-TOPSIS and Grey Relational Analysis, the Bloomberg ESG indicator system is reconstructed, and the impact of the optimized ESG score on the financial performance of the carbon-neutral concept enterprise is studied. The results show as follows. 1) The relative importance of environment (E), society (S) and governance (G) will change with time and the objects being evaluated. Generally, society (S) has the highest importance. 2) There is a time-lag effect on the impact of ESG scores on financial performance. The latter worsens in the short term due to the high investment cost of ESG and improves in the long term due to the improvement of corporate image and reputation. 3) The results of heterogeneity analysis show that the impact of ESG score on the financial performance of an enterprise is related to the regional economic development level and the relative carbon emission intensity.