基础化工行业需求稳定，石化ETF(159731)近4天获得连续资金净流入

Core Viewpoint - The petrochemical ETF (159731) has shown a mixed performance with a recent decline of 0.22% in the index, but it has experienced significant growth over the past three months, with a cumulative increase of 14.72%, ranking first among comparable funds [1][2]. Group 1: ETF Performance - As of October 14, 2025, the petrochemical ETF has achieved a net value increase of 21.93% over the past six months [1]. - The ETF's highest single-month return since inception was 15.86%, with the longest consecutive monthly gains being five months and a maximum increase of 22.33% [1]. - The average return during the rising months is 5.27%, and the ETF has outperformed its benchmark with an annualized excess return of 5.35% over the last six months [1]. Group 2: Fund Flows and Size - The petrochemical ETF has seen a continuous net inflow of funds over the past four days, totaling 4.0187 million yuan [1]. - The latest share count for the ETF reached 61.3758 million, marking a one-year high [1]. - The fund's size has increased by 4.7006 million yuan in the past month, indicating significant growth [1]. Group 3: Risk and Tracking Accuracy - The maximum drawdown for the ETF over the past six months was 4.36%, which is the lowest among comparable funds, with a relative benchmark drawdown of 0.14% [2]. - The recovery time after drawdown was 16 days, and the tracking error over the past three months was 0.034%, indicating the highest tracking precision among comparable funds [2]. Group 4: Industry Insights - The basic chemical industry is experiencing stable demand with global supply dominance, focusing on sub-industries such as sucralose, pesticides, MDI, and amino acids [2]. - Domestic demand-driven sectors like refrigerants, fertilizers, and dyes are expected to mitigate tariff impacts, with active performance in phosphate, potassium, compound fertilizers, and dye industries [2]. - The overall industry is in a rebalancing phase following capital expenditure releases, with attention needed on crude oil fluctuations and new capacity risks [2].