汇丰中国财富洞察：全球投资机会何处寻，分散布局机遇正凸显|财富交想“汇”

Core Viewpoint - The article discusses the shifting focus of global investors from the US stock market to European and Asian markets, highlighting potential investment opportunities and strategies for 2026 [1]. Group 1: Market Trends - Global investors are expected to continue increasing their allocation to global markets for better risk diversification [6]. - European stocks, despite a strong performance in 2025, still offer good value compared to the higher valuations of US stocks [7]. - EU fiscal policies are likely to continue supporting the economy and employment, which will help stabilize markets and boost investor confidence [8]. Group 2: Investment Opportunities - Europe has a strong foundation in green energy and sustainable development, along with a range of world-class consumer brands, making it an attractive investment destination [9]. - The demand for AI is robust, and while it has not reached speculative bubble levels, it requires higher stock-picking skills from investors, with a recommendation to focus on European AI opportunities [11]. - The AI ecosystem presents investment opportunities beyond just technology applications, encompassing energy manufacturing, chips, sensors, data storage, algorithm development, and system integration [15]. - The healthcare sector, despite a relatively flat performance in the past two years, is worth focusing on due to medical innovation and aging population demands [17]. Group 3: Investment Strategies - Active management is crucial as the tech sector enters a new phase characterized by increased vendor financing and rising corporate leverage, leading to concentration risks [12]. - A strategy involving selling index call options on a classic high-yield stock portfolio can generate stable option income while participating in market upswings [21]. - Backtesting shows that such strategies can achieve an annualized dividend yield of 7-9%, while controlling volatility at levels similar to the market, thus balancing returns and risks [22]. Group 4: Technological Empowerment - The company emphasizes the use of technology to enhance investment processes [23]. - A self-developed platform integrates global research, portfolio management, and risk analysis for efficient information sharing and investment decision-making [24]. - Data-driven research utilizes 40 years of internal data, employing machine learning and natural language processing to analyze vast amounts of unstructured information for investment insights [25]. - Real-time analysis of over 150 risk data points aims to accurately identify potential risks, striving for a flexible balance between macro and individual stock risks [26].