以数据资产赋能金融创新 不断拓宽中小企业融资路径——专访上海数据交易所副总经理赵永超

Core Viewpoint - The rapid development of China's asset securitization market this year is highlighted by the introduction of the first data asset-enabled securitization product, which utilizes core data assets from China Investment Guarantee Corporation's subsidiary to provide risk pricing and cash flow assessment support [1][2]. Group 1: Product Overview - The newly launched data asset-enabled securitization product, named "Tianfeng Zhongtoubao Accounts Receivable Phase 2 SME Financing Support Asset-backed Special Plan (Data Asset Empowerment)," has an issuance scale of 510 million yuan, with high-quality accounts receivable from state-owned enterprises as the underlying assets [2][3]. - The successful launch of this product represents a significant breakthrough in the field, showcasing a new practice of multi-factor market linkage development [2]. Group 2: Data Asset Empowerment - Data assets enhance the quality of underlying assets by providing compliance, certification, registration, and valuation support, significantly improving the quality of accounts receivable-based ABS assets [3]. - The use of high-quality data optimizes pricing and risk management, allowing for precise identification and management of assets, thereby reducing risks and enabling more reasonable pricing [3]. - Quality data assets have further value exploration potential, which can empower intelligent agents and support model training, opening new development possibilities for ABS assets [3][4]. Group 3: Market Implications - The successful implementation of the "Tianfeng Zhongtoubao Accounts Receivable Phase 2" product demonstrates the core role of data assets in enhancing ABS product value and optimizing market operation efficiency, responding to market expectations for data asset value release [4]. - The collaboration between Shanghai Data Exchange and Shanghai Stock Exchange aligns with the regulatory push for financial technology innovation and the integration of data elements into the capital market [5][6]. Group 4: Future Prospects - The application scenarios for data assets are expected to continue expanding, with potential in areas such as computing power, smart parks, new energy, and smart agriculture [6]. - The exploration of "Real Data Assets (RDA)" is particularly noteworthy, as these assets will digitize traditional production and operation data, enhancing the credibility of traditional assets and potentially becoming a new engine for improving asset quality and efficiency [6].