As market volatility becomes the norm and asset rotation accelerates, traditional investment research models are facing efficiency bottlenecks. Confronted with the complex and ever-changing macro environment and the exponential growth of market information, the core demand of institutional investors has evolved from simply acquiring research views to an urgent need for systematic decision-making capabilities.
Against this backdrop, CSC, through profound self-innovation, has provided new momentum for upgrading the investment research paradigm for institutional investors—the "Zhiyan Multi-Asset Allocation+" platform has officially launched (fund.csc.com.cn).
This platform was primarily developed by the Financial Engineering and Fund Research team within the Research & Development Department, embodying years of accumulated research expertise and dedicated to providing institutional investors with systematic, intelligent investment decision support.
The platform is not merely an online repository of research results; it aims to build an intelligent "research-as-investment" ecosystem covering the entire chain from "research-strategy-portfolio," marking a strategic leap for leading brokerages from offering fragmented products toward delivering integrated solutions.
A Paradigm Shift: From "Experience-Driven" to "System-Driven" A common dilemma is increasingly prominent in the current institutional wealth management service market: although data and models are not scarce, they often exist in silos. Research personnel must navigate between multiple databases, analytical tools, and reports, performing tedious manual splicing and verification. This model, heavily reliant on individual experience and manual operations, is not only inefficient but also causes valuable investment insights to be diluted during complex transmission and conversion processes, making it difficult to translate them accurately, quickly, and traceably into investment portfolios.
"The real challenge lies not in a lack of information, but in how to transform massive information into executable, optimizable, and attributable investment decisions," pointed out Wu Chaozé, Party Committee Member, Executive Committee Member, and Director of the Institutional Business Committee at CSC.
This is precisely the starting point for the design of the "Zhiyan Multi-Asset Allocation+" platform. The platform strives to dismantle the "black boxes" and "discontinuities" in the investment research process, digitally encapsulating the team's systematic research framework. Its goal directly addresses the core pain points of institutional investment research—enhancing the scientific nature of decision-making, the efficiency of the process, and the controllability of outcomes.
Three Core Systems: Constructing a Closed-Loop Decision-Making Chain Covering "Research-Strategy-Investment" Unlike common tool collections on the market, the "Zhiyan Multi-Asset Allocation+" platform constructs a complete intelligent investment research value chain through three organically linked core systems.
The Deep Research Toolkit serves as the system's "cognitive foundation." It goes beyond traditional data listing to build a penetrating network for asset insight. This includes a fund feature analysis database with over 500 deep tags, creating precise profiles for each fund; and a distinctive "Frontier Voices" knowledge base, which uses AI intelligent transcription technology to convert hundreds of fund manager interviews and internal roadshows into a searchable, structured database of viewpoints in seconds, making tacit knowledge explicit for accumulation and application.
The Quantitative Allocation Model Library acts as the platform's "decision engine." It advances macro and mid-level tactical discussions from qualitative debates to quantitative guidance. The platform integrates classic asset allocation models like the Investment Clock and monetary-credit cycles, while also incorporating CSC's proprietary research成果, such as an improved Pring Cycle model and macro-state timing models, capable of translating complex macro environments into clear allocation signals. The sector rotation model, based on factor momentum concepts, covers seven sub-dimensions including macro, fundamental, capital flow, and event momentum, collectively forming a composite sector rotation strategy and providing a complete decision chain from macro to mid-level analysis.
AI Enhancement functions as the efficiency "accelerator." The platform introduces an AI agent matrix, deeply embedding artificial intelligence technology into the entire investment research workflow. A 7x24 online AI Fund Assistant can instantly answer professional queries; a multi-agent investment framework can simulate the collaboration of analysts, fund managers, and risk controllers to automatically generate investment analysis reports. Furthermore, the Zhiyan Excel plugin allows users to directly access the platform's underlying data within their most familiar office environment, achieving "data-to-strategy" integration and significantly boosting the productivity of professional researchers.
Technology Empowerment Reshapes the Research Experience The confidence behind the "Zhiyan Multi-Asset Allocation+" platform stems from CSC's dual-drive model of "professional research + technology empowerment." The platform is not merely an IT project; behind each functional module lies a systematic research framework, accumulated over years by the Financial Engineering and Fund Research team and validated by the market. The digitization of these frameworks is the core competitive advantage distinguishing the platform from generic tools. Technologically, a dedicated fintech support team and the company's IT department provided solid backing, with the team having applied for over 40 patents and software copyrights in the intelligent investment research field, ensuring the system's technical advancement and operational stability.
This deep integration enables the platform to transform complex research processes once highly dependent on the individual capabilities of senior analysts into standardized, reusable systemic capabilities, thereby building a differentiated professional barrier in institutional services.
Industry Implications: Defining a New Benchmark for Institutional Services The launch of CSC's Zhiyan Multi-Asset Allocation+ platform not only represents a deep evolution of sell-side research towards digitalization, productization, and intellectualization but also provides a reference model for industry transformation.
Through its integrated system, the platform fully addresses the core demands of institutional clients: "what to invest in, how to invest, and how to optimize." It is more than just a tool; it is an empowerment—empowering institutional investors to establish systematic investment research processes, empowering their teams to enhance professional decision-making efficiency, and ultimately empowering their asset management businesses to build sustainable competitiveness in complex markets.
This practice indicates that future competition in institutional services will increasingly focus on the ability to integrate one's own investment research, technology, and business resources to build a closed-loop service ecosystem. As digital technology transitions from a "showpiece" to a "core business driver," the value boundary that brokerages can create will be significantly expanded.
As the "Zhiyan Multi-Asset Allocation+" platform continues to iterate and its ecosystem matures, it not only serves clients but also defines the future. It points towards a new paradigm for institutional investment research characterized by more systematic decisions, more intelligent processes, and more沉淀able capabilities, leading the industry collectively towards a new stage of high-quality development.
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