Group 1 - The article discusses the upcoming issuance of a series of ETFs focused on free cash flow, tracking indices such as the China Securities Cash Flow Index, the CSI 300 Cash Flow Index, the CSI 800 Cash Flow Index, and the National Securities Cash Flow Index [2] - The China Securities All Index Free Cash Flow Index selects 100 listed companies with high free cash flow rates to reflect the overall performance of companies with strong cash flow generation capabilities [2] - The CSI 300 Free Cash Flow Index selects 50 companies from the CSI 300 Index that have high free cash flow rates, aiming to represent the performance of companies with strong cash flow generation within the CSI 300 sample [3] Group 2 - The CSI 800 Free Cash Flow Index selects 50 companies from the CSI 800 Index with high free cash flow rates, reflecting the performance of companies with strong cash flow generation within the CSI 800 sample [4] - The National Securities Free Cash Flow Index is designed to reflect the price changes of listed companies with high and stable free cash flow levels on the Shanghai and Shenzhen Stock Exchanges, enriching index investment tools [5] Group 3 - The base date for the three China Securities cash flow indices is December 31, 2013, with a base point of 1000, and they have been running for 11.3 years [6] - The current values and annualized returns for the indices are as follows: - All Index Cash Flow Price Index at 4419.86 points, annualized return of 14.05% - CSI 300 Cash Flow Price Index at 2911.58 points, annualized return of 9.92% - CSI 800 Cash Flow Price Index at 4294.83 points, annualized return of 13.76% - National Securities Cash Flow Index at 4683.24 points, annualized return of 12.48% [7] - The historical returns of the cash flow indices are impressive, with annualized returns around 18% for all but the CSI 300 Cash Flow Index, which may be due to a limited sample size after excluding the financial and real estate sectors [7] Group 4 - The article notes that the newly issued indices may exhibit historical fitting, which is unavoidable, and emphasizes that evaluating an index should prioritize its compilation rules, component structure, and inherent stability over historical returns [8]