科技双雄新投法 跟着鹏华“科创股债ETF大厂”玩转双“创”组合动量轮动

Core Insights - The technology sector has been the most prominent market theme this year, with rapid rotations among sub-sectors like AI computing, semiconductors, and renewable energy, making it challenging for ordinary investors to navigate [1] - Broad-based index funds are emerging as a better solution for ordinary investors to participate in the technology wave, offering industry-balanced allocation that diversifies individual stock risks while capturing industry trend benefits [1] Group 1: Index Characteristics - The ChiNext 50 and Sci-Tech 100 indices are highlighted as the "twin stars" of technology investment, with distinct component stock structures, industry focuses, and risk characteristics that complement each other [1][3] - The ChiNext 50 index represents "mature technology anchors," primarily consisting of leading companies in renewable energy, communications, and electronics, which have established strong competitive advantages and exhibit stable profitability [3] - In contrast, the Sci-Tech 100 index focuses on "hard technology pioneers," concentrating on sectors like semiconductors, pharmaceuticals, and high-end manufacturing, characterized by higher growth potential and greater volatility [3][4] Group 2: Momentum Rotation Strategy - A momentum rotation strategy is proposed to capitalize on technology investment opportunities, leveraging the inherent differences between the two indices [5] - Entry signals are defined as when either index achieves a cumulative gain of 8% over the past 20 trading days, with a preference for the index showing stronger momentum [7] - The strategy emphasizes disciplined and adaptive management, avoiding emotional trading and market noise, with clear rules for entry, holding, and exit [7] Group 3: Performance Metrics - Historical backtesting from November 14, 2020, to November 14, 2025, shows that the momentum rotation strategy achieved a total return of 96.36%, significantly outperforming the ChiNext 50's 31.84% and the Sci-Tech 100's -0.78% [10] - The strategy also demonstrated superior risk control, with a maximum drawdown of -25.46%, compared to the Sci-Tech 100's maximum drawdown of -63.72%, resulting in a Sharpe ratio of 0.59, well above the benchmark's 0.21 [10] - The strategy effectively tracks market trends during bullish phases and successfully avoids significant losses during market downturns by maintaining cash positions when necessary [10]