Guotai CSI All Share Communication Equipment ETF (515880) Rises 0.28% Against the Trend; Tencent Plans to At Least Double Investment in Hunyuan and New AI Products in 2026

NewTimeSpace News, as of 11:00 on March 19, 2026, Communications ETF (515880) rose 0.28%, with the latest price at 1.07 yuan. In terms of liquidity, Communications ETF recorded a turnover rate of 4.91% intraday, with trading volume reaching 775 million yuan. Looking at a longer time frame, as of March 18, the average daily trading volume over the past week was 1.605 billion yuan.In terms of scale, Communications ETF has a latest scale of 15.785 billion yuan.

NewTimeSpace News, as of 11:00 on March 19, 2026, Communications ETF (515880) rose 0.28%, with the latest price at 1.07 yuan. Looking at a longer time frame, as of March 18, 2026, Communications ETF has cumulatively gained 2.20% over the past month. (The stocks listed above are index constituents only and do not represent specific recommendations.)

In terms of liquidity, Communications ETF recorded a turnover rate of 4.91% intraday, with trading volume reaching 775 million yuan. Looking at a longer time frame, as of March 18, the average daily trading volume over the past week was 1.605 billion yuan.

In terms of scale, Communications ETF has a latest scale of 15.785 billion yuan. (Data Source: Wind)

Regarding capital flows, Communications ETF recorded a net capital outflow of 803 million yuan most recently. Looking at a longer time frame, there were net capital inflows on 3 out of the past 5 trading days, totaling 580 million yuan in capital attraction, with an average daily net inflow of 116 million yuan. (Data Source: Wind)

Data shows that leveraged funds continue to build positions. Communications ETF recorded a net margin purchase amount of 1.7278 million yuan since the beginning of this month, with the latest financing balance reaching 405 million yuan. (Data Source: Wind)

As of March 18, Communications ETF has risen 232.50% in net asset value over the past 5 years, ranking 2nd out of 1,162 equity index funds, placing it in the top 0.17%. In terms of return capability, as of March 18, 2026, since its inception, Communications ETF has achieved a maximum monthly return of 45.44%, a longest consecutive rising streak of 6 months, a maximum consecutive gain of 133.31%, a rising-to-falling month ratio of 43/35, an average return of 8.19% during rising months, an annual profitability percentage of 66.67%, and a historical 2-year holding profitability probability of 64.18%. As of March 18, 2026, the annualized excess return over the benchmark for the past 2 years is 1.17%.

As of March 13, 2026, the Sharpe ratio of Communications ETF over the past 1 year is 2.42.

In terms of drawdown, as of March 18, 2026, the maximum drawdown of Communications ETF year-to-date is 8.16%, with a relative benchmark drawdown of 0.14%.

In terms of fees, Communications ETF has a management fee of 0.50% and a custody fee of 0.10%.

Regarding tracking accuracy, as of March 18, 2026, the 1-month tracking error of Communications ETF is 0.014%.

Communications ETF closely tracks the CSI All Share Communications Equipment Index. The CSI All Share Communications Equipment Index selects securities of listed companies whose business involves the communications equipment field from the CSI All Share Index as index samples, aiming to reflect the overall performance of securities of listed companies in this theme.

On the news front, Tencent released its financial report, with fourth-quarter total revenue up 13% year-on-year and adjusted net profit up 17%. AI has become the core growth driver, with annual R&D investment of 85.7 billion yuan and capital expenditure of 79.2 billion yuan, both hitting record highs. Tencent has clarified AI as its core strategy, planning to at least double investment in Hunyuan and new AI products in 2026, and deeply integrate Hunyuan into ecosystems such as WeChat.

Changjiang Securities stated that models are entering the demand era. As installed user volumes grow, token explosions will directly pull inference computing power and cloud migration demand in the short term. Looking at segmented scenarios, vertical AI application products in areas such as tools, social, and entertainment are expected to benefit from continuously improving model capabilities.

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