China Internet ETF (KWEB)

Proxy for China's tech sector accessibility — decoupling shows up as valuation divergence from U.S. tech.

Exclude COVID

$28.7

Trend YoY growth is -1.4%, slowing by 2.1 pp/year over the last 9Y. Latest: -9.6%, 8.1 pp below trend, a 0.60σ deviation. The latest YoY reading is depressed by 13.5 pp due to an tough comparison base from May 5.

Level

YoY %

y = 17.6% 2.1 pp/yr · t

Deviation from trend

Forecast

Projected value by forecast vintage (USD)

Projected value (USD)

Forecast made inOct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27MAPE
Oct '25$37.7$40.6$41.0$45.0$50.2$52.8$49.8$52.0$55.9$59.0$65.0$73.2$71.1$68.3$67.0$71.1$63.7$59.3$61.2$62.2$123.4734%
Nov '25$35.4$37.3$40.0$43.4$44.7$41.2$42.1$44.2$45.7$49.3$54.3$51.7$48.7$46.9$48.8$42.9$39.4$39.9$39.8$61.4518%
Dec '25$34.0$36.1$37.9$37.8$33.6$33.1$33.4$33.2$34.3$36.2$32.9$29.6$27.1$26.8$22.3$19.4$18.4$17.3$18.8292%
Jan '26$35.4$38.2$37.9$33.4$32.6$32.7$32.2$33.0$34.4$30.9$27.4$24.8$24.1$19.6$16.7$15.6$14.2$14.6363%
Feb '26$31.1$35.3$30.4$29.0$28.3$27.0$26.7$26.7$23.0$19.2$16.3$14.5$10.7$8.0$6.2$4.3$2.4101%
Mar '26$28.4$28.7$27.1$26.2$24.8$24.1$23.8$20.0$16.3$13.4$11.4$7.8$5.4$3.4$1.4$-0.615%
Apr '26$28.8$27.2$25.9$24.2$23.2$22.4$18.4$14.4$11.3$8.9$5.3$2.8$0.6$-1.6$-3.526%
May '26$28.7$25.9$24.1$23.1$22.3$18.3$14.3$11.1$8.7$5.2$2.7$0.4$-1.8$-3.7
Jun '26$25.9$24.1$23.1$22.3$18.3$14.3$11.1$8.7$5.2$2.7$0.4$-1.8$-3.7

YoY change forecast

Forecast made inOct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27MAPE
Oct '25+28.5%+44.7%+48.7%+52.8%+56.9%+60.6%+64.7%+68.6%+72.7%+76.7%+80.7%+84.8%+88.8%+92.9%+96.8%+100.9%+105.0%+108.7%+112.8%+116.8%+120.8%734%
Nov '25+26.2%+35.3%+35.5%+35.7%+35.9%+36.1%+36.3%+36.5%+36.8%+37.0%+37.2%+37.4%+37.6%+37.8%+38.0%+38.2%+38.4%+38.6%+38.8%+39.0%518%
Dec '25+25.8%+22.5%+18.6%+15.0%+11.0%+7.1%+3.1%-0.7%-4.7%-8.7%-12.5%-16.5%-20.4%-24.4%-28.3%-31.9%-35.9%-39.8%-43.8%292%
Jan '26+20.0%+19.5%+15.2%+10.4%+5.7%+1.0%-3.7%-8.4%-13.2%-17.8%-22.6%-27.2%-32.0%-36.8%-41.1%-45.9%-50.5%-55.3%363%
Feb '26-2.9%+7.3%+0.6%-5.9%-12.6%-19.1%-25.8%-32.5%-39.0%-45.7%-52.2%-58.9%-65.7%-71.7%-78.4%-84.9%-91.6%101%
Mar '26-13.9%-5.2%-12.0%-19.1%-25.9%-32.9%-40.0%-46.8%-53.9%-60.7%-67.7%-74.8%-81.2%-88.2%-95.0%-102.1%15%
Apr '26-5.0%-12.0%-19.9%-27.6%-35.6%-43.6%-51.3%-59.2%-66.9%-74.9%-82.8%-90.0%-98.0%-105.7%-113.7%26%
May '26-9.6%-20.0%-27.7%-35.8%-43.8%-51.5%-59.5%-67.3%-75.3%-83.3%-90.6%-98.6%-106.3%-114.3%
Jun '26-20.0%-27.7%-35.8%-43.8%-51.5%-59.5%-67.3%-75.3%-83.3%-90.6%-98.6%-106.3%-114.3%

Forecasts use ordinary least-squares linear regression fitted to the YoY change series over a rolling 6M window. Each row shows a vintage — the forecast as it would have appeared at that point in time. Projected values apply the forecasted YoY change to the prior year's level, chaining forward where actuals are unavailable. MAPE measures forecast accuracy against realized values. These are mechanical trend extrapolations, not economic models.

China Internet ETF (KWEB) | Blake Cutler