投資策略

系統化投資

以獨到的視角重新探索世界

想像一下世界上有多少數據,而數據量如何迅速增長。2024年,Amazon.com的每月平均流量達25.7億次,阿里巴巴的電子商貿銷售額超過740億美元。在每一分鐘,WhatsApp產生約9700萬則訊息,Youtube增加約500小時的影片,各種數據亦不斷增加。

有趣的是,我們想要的不只是數據或資訊。相反,我們想了解數據背後的意義及其重要性,並運用所得出的洞見來預測結果。

貝萊德的系統化投資平台已深入分析數據超過35年,並一直致力創新、創造及改革。我們的多元化團隊由200多名金融專才、學者及數據科學家組成,結合人類及機器的優勢,以嶄新方法締造與別不同的回報。

團隊運用人工智能及機器學習等尖端科技來分析800多個數據信號,每天大規模分析數以千計的證券,以及當中的基本因素、市場情緒、宏觀主題及ESG特性。同時,團隊亦能以單靠人類無法實現的速度及效率結合並分析傳統與非傳統數據來源。

系統化投資在現實世界中如何實行?

自2007年以來,我們一直在運用自然語言處理技術,從監管文件、新聞文章、券商報告、社交媒體及其他文本來源,大規模收集關於公司前景的即時及細緻觀點。

例如,我們的模型能透過情緒分析來識別早期投資信號,追蹤文件內的正面及負面詞語的數量,並根據詞語數量給予整體情緒評分。

當然,我們的方法亦不斷進步。我們現在應用了類似ChatGPT,基於Transformer模型的大型語言模型,能夠處理句子中的詞語等長序列元素,能夠分析每個詞語之間的關係,並聚焦最關鍵的重點。

而語言並不構成障礙,因為我們的模型能夠「閱讀」7種主要語言的文本,這使我們同時能融會和了解當地背景。

另一個由人工智能帶來的超額回報來源或來自實體世界。我們能使用人工智能作為工具來整合及分析特定位置的數據——例如手機的GPS信號等,可用來掌握消費者流量的數據。我們亦可以追蹤整個國家的貨車運輸路線,因為交通流量的增加可能是公司基本因素改善(例如未來銷售額)的替代指標。

人工智能和數據的普及亦有助我們深入了解企業的意向及宏觀環境。例如,我們追蹤美國數以百萬計的網上招聘廣告,以評估公司的健康狀況,或根據其所招聘的技能來確認公司未來的目標增長領域。同時,招聘速度亦可反映公司、行業或國家層面的經濟活動。

然而,儘管有上述前景,機器亦不會完全取代人類。投資專家的見解及分析仍然關鍵,基本及傳統資訊仍發揮著重要作用。我們將此稱為人機合作的投資方法。

人機合作 革新投資

系統化投資結合大數據、數據科學及投資專家的豐富知識,使我們的投資方式隨之演變,在瞬息萬變的市場格局下開闢嶄新途徑,尋求穩定投資組合回報。

什麼是系統化投資?

系統化投資(通常稱為量化投資)利用數據驅動的洞見、對投資理念進行科學測試,以及運用先進的電腦模型,構建圍繞特定投資目標設計的投資組合。

簡單而言,我們將研究與數據轉化為締造超額回報的機遇。

投資重點

  • 01

    尋求持續超額回報機遇

    透過系統化投資,我們致力創造穩定、持續及可重複的超額回報,並隨著時間不斷累積,成就卓越投資組合表現。

  • 02

    為規模化而設計

    我們的系統化策略運用先進機器學習技術,處理大量傳統及另類數據。憑藉龐大研究規模,我們創建了涵蓋逾1,000種投資信號的數據庫,為回報預測及投資組合決策提供依據。

  • 03

    創新歷程四十載

    貝萊德系統化投資團隊以逾40年經驗為基礎,結合先進科技與投資專家知識。我們的博士、投資專家、研究人員及數據科學家攜手合作,匯聚數據驅動觀點與專家投資智慧的獨特優勢。

系統化投資流程

(僅提供英文版本)

There is no guarantee that research capabilities will contribute to a positive investment outcome.

Systematic Investment Process Video Script

Systematic investment process 

The world is more data-driven than ever before. Our systematic process leverages vast sets of data, both traditional and alternative, to provide investment insights faster, at greater scale and with more granularity. We score and rank thousands of securities daily to help make investment decisions in real time, based on company fundamentals, market sentiment and macroeconomic themes.

Our fundamental signals perform the same analysis a traditional security analyst might. Our models leverage data and technology to systematically evaluate thousands of securities. Using alternative data, such as internet search, transaction activity, and geolocation data, we score the attractiveness of investment opportunities against more traditional accounting measures.

Our sentiment signals recognize factors other than fundamental strength can influence returns over shorter time frames. Sentiment signals analyze a broad range of market views from sell side 1analysts, company management, and other investors. Electronic text forms a large part of the underlying data that drives these insights and seeks to enable our models to identify where analysts and management are more positive (or negative) on a company’s outlook.
Our macroeconomic signals seek to form a view across groups of securities rather than individual companies. For example, we analyze the impact of positive hiring trends or adverse inflationary pressures across a universe of securities. We evaluate the impact of macroeconomic data among countries, industries, and equity styles, such as value and growth.

The final score for every security is a weighted combination of all signals, blending the views across these insights.

The final “alpha” score represents our assessment of the return potential of each security relative to all the others within the investible universe.

Portfolio Construction 

Our investment process2 seeks to systematically capture the drivers of future returns, to create a portfolio that seeks to maximizes exposure to our signal views. We construct portfolios starting with these final alpha scores and size positions aligned with these scores. A market neutral portfolio would hold a long position3 in securities with a positive score, and a short position4 in securities with a negative score.

However, this doesn’t tell us anything about risk and implementation frictions such as transaction costs and constraints. To account for this, we take into consideration the expected return of a position, alongside an assessment of its potential risk using a multi-factor risk model.

Whether the portfolio being generated is a market neutral hedge fund designed to deliver an uncorrelated source of alpha, or a long only portfolio seeking to outperform a broad index of market exposure, the process is identical. The final output is intended to capture the broadest possible opportunity set within the target market, as we seek to achieve the best possible tradeoff between risk and return net of transaction costs. 

[DISCLAIMERS] 

There is no guarantee that a positive investment outcome will be achieved. 

While the investment approach described herein seeks to manage risk, risk cannot be eliminated. 

Risk Warnings 

Capital at risk. The value of investments and the income from them can fall as well as rise and are not guaranteed. Investors may not get back the amount originally invested. 

Past performance is not a reliable indicator of current or future results and should not be the sole factor of consideration when selecting a product or strategy. 

Changes in the rates of exchange between currencies may cause the value of investments to diminish or increase. Fluctuation may be particularly marked in the case of a higher volatility fund and the value of an investment may fall suddenly and substantially. Levels and basis of taxation may change from time to time and depend on personal individual circumstances. 

The strategies discussed are strictly for illustrative and educational purposes and are not a recommendation, offer or solicitation to buy or sell any securities or to adopt any investment strategy. There is no guarantee that any strategies discussed will be effective. 

This material is prepared by BlackRock and is not intended to be relied upon as a forecast, research or investment advice, and is not a recommendation, offer or solicitation to buy or sell any securities or to adopt any investment strategy. The opinions expressed are as of the date shown above and may change as subsequent conditions vary. The information and opinions contained in this material are derived from proprietary and non-proprietary sources deemed by BlackRock to be reliable, are not necessarily all-inclusive and are not guaranteed as to accuracy. As such, no warranty of accuracy or reliability is given and no responsibility arising in any other way for errors and omissions (including responsibility to any person by reason of negligence) is accepted by BlackRock, its officers, employees or agents. This material may contain ’forward looking’ information that is not purely historical in nature. Such information may include, among other things, projections and forecasts. There is no guarantee that any forecasts made will come to pass. Reliance upon information in this material is at the sole discretion of the reader. This material is intended for information purposes only and does not constitute investment advice or an offer or solicitation to purchase or sell in any securities, BlackRock funds or any investment strategy nor shall any securities be offered or sold to any person in any jurisdiction in which an offer, solicitation, purchase or sale would be unlawful under the securities laws of such jurisdiction. Investment involves risks. Past performance is not an indication for the future performance. 

In Singapore, this is issued by BlackRock (Singapore) Limited (Co. registration no. 200010143N). This advertisement or publication has not been reviewed by the Monetary Authority of Singapore. 

Any research in this document has been procured and may have been acted on by BlackRock for its own purpose. The results of such research are being made available only incidentally. The views expressed do not constitute investment or any other advice and are subject to change. They do not necessarily reflect the views of any company in the BlackRock Group or any part thereof and no assurances are made as to their accuracy. 

This document is for information purposes only and does not constitute an offer or invitation to anyone to invest in any BlackRock funds and has not been prepared in connection with any such offer. 

Prepared by BlackRock Investments, LLC. Member FINRA. 

© 2026 BlackRock, Inc. All Rights reserved. BLACKROCK is a trademark of BlackRock, Inc. or its affiliates. All other trademarks are those of their respective owners.

1 Sell side: refers to a portion of the financial industry that issues, sells, or trades securities in the public market.

2 Source: BlackRock, 2024. Investment process is subject to change and is provided here for illustrative purposes

3 Long position: A long position refers to the purchase of an asset with the expectation that its value will increase over time.

4 Short position: A short position refers to borrowing a security, selling it, then buying it back later at a lower price to return to the broker and keep the difference.

貝萊德系統化投資策略每日分析數以千計數據點,全面涵蓋基本因素、市場情緒及宏觀經濟信號,旨在及時作出更明智的投資決策,同時審慎管理風險。(僅提供英文版本)

一項策略,多種應用

系統化投資能夠在投資組合發揮多種作用,包括:
表現圖示

有望締造領先表現的核心配置

投資組合的核心配置,致力隨著時間推移,實現跑贏大市的回報。
目標圖示

收益與增長並重

尋求提供穩定高收益及把握市場升勢,而無需承擔高於整體市場的風險。
分散投資圖示

具回報潛力的分散投資工具

另類策略透過配置與傳統市場走勢不一致的資產以分散風險,同時實現具競爭力的回報。

為何選擇貝萊德系統化投資?

數十年來,貝萊德的系統化投資團隊一直引領數據驅動投資領域,將研究與科技轉化為締造超額回報的機遇。憑藉龐大規模、多元人才及持續創新,我們正在重塑現代投資的可能性。

$3,430
億美元股票、債券及另類投資的資產管理規模
40
系統化投資往績
Increase220
由投資組合經理、研究人員及科技專家組成的投資團隊

貝萊德系統分析,截至2026年3月31日。僅供說明。貨幣以美元計算。


常見問題

  • 我們將人工智能及機器學習技術整合至其系統化投資流程之中。人工智能有助分析大量數據,識別市場規律,並產生支持投資決策的觀點,最終以提升表現及管理風險為目標。

  • 我們認為,無論在任何市場週期或宏觀環境下,系統化投資均有望為投資者創造穩定超額回報機遇,並在規模、可重複性及靈活性方面具備多種優勢。

  • 系統化投資在各種市況下均可帶來好處,其數據驅動方針有助提升對市場變化的適應及應對能力,使其在市場波動及不明朗時期成為具價值的投資策略。

  • 穩定超額回報指長期持續產生領先基準的回報的能力。這種能力相當重要,因為穩定而逐步增加的超額回報長遠而言能顯著提升投資組合表現,在不同市場週期中最大限度地增加每單位風險回報。