Using daily data from January 5, 2012, to June 28, 2024, this study applies a novel DCC-GARCH \({R}^{2}\) decomposed connectedness algorithm to analyze the spillover effects between Chinese fintech assets (FNTC) and traditional financial sector assets—banking (BANK), securities (SECU), and insurance (INSR). The role of FNTC in enhancing investment strategies for these assets is also explored. The distinct distribution and significant asset correlation of FNTC provide statistical support for investment strategy optimization. FNTC is shown to effectively hedge risk exposure, with multivariate hedging strategies outperforming those of bivariate ones. Bivariate FNTC portfolios outperform single assets in Sharpe ratio, indicating more effective strategies. Multivariate portfolios don't always beat bivariate ones. Notably, the classic Minimum Variance Portfolio rival modern strategies, highlighting contextual selection's importance. This research provides strategic insights for China's finance and fintech, advancing the field from a portfolio perspective.