551030，科创债ETF鹏华，7月17日上市见！

Core Viewpoint - The article discusses the launch and significance of the "Penghua Science and Technology Innovation Bond ETF," emphasizing its role in supporting technological innovation and providing a standardized investment tool for investors in the bond market [5][22]. Summary by Sections Introduction to Science and Technology Bonds - The Science and Technology Bond market in China began in 2016 and has rapidly expanded, reaching a market size of over one trillion yuan by 2022. The introduction of the "Technology Board" concept by the central bank in March 2023 further accelerated this growth [5][6]. Characteristics of Science and Technology Bond ETF - The Science and Technology Bond ETF aims to track the performance of a bond index specifically for technology innovation companies, providing investors with a convenient tool to participate in this market [8][9]. Index Composition and Selection Criteria - The core selection criteria for the index include "technology innovation attributes," focusing on industries such as high-tech and strategic emerging sectors, with stringent requirements for credit quality [9][10]. Performance and Risk Management - The ETF is designed to provide lower risk for investors while maintaining a focus on high-quality bonds, with 99% of the index constituents being state-owned enterprises [14][20]. Market Impact and Liquidity - The introduction of the ETF is expected to enhance market liquidity for technology innovation company bonds, facilitating easier access for investors and promoting healthy market development [5][22]. Investment Strategy and Management - The ETF employs a dual fund manager model to leverage expertise in both research and operational management, enhancing its ability to respond to market changes and manage risks effectively [29][30]. Fund Overview - The Penghua Science and Technology Innovation Bond ETF is managed by a team with extensive experience in fixed income investments, aiming to maintain a tracking deviation of less than 0.2% and an annual tracking error of less than 2% [35][36].