
系統化投資
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重要提示︰
i. 貝萊德系統分析環球股票高息基金以盡量爭取高收入為目標。基金將不少於70%的總資產投資於環球股本證券,不受既定的國家或地區限制。
重要提示︰
i. 貝萊德系統分析環球股票高息基金以盡量爭取高收入為目標。基金將不少於70%的總資產投資於環球股本證券,不受既定的國家或地區限制。
ii. 基金投資於股票,較大的股票價值波動可招致重大虧損。基金賺取收入的投資策略或會減低基金資本增長的潛力以及將來的收入。
iii. 基金需承受貨幣匯率風險、新興市場風險、對外資限制的風險、小型公司的波動性及流動性風險及包括人民幣計值類別的貨幣兌換風險。
iv. 5(G)股份類別在未扣除開支之下派付股息。6股份類別在未扣除開支之下派付股息,此股份類別亦會在基金董事酌情決定下從資本派付股息。8股份類別在未扣除開支之下派付股息,此股份類別亦會在基金董事酌情決定下從資本派付股息,並包括以股份類別貨幣對沖引起的息差派付股息。息差虧損或會減少派付的股息。在未扣除開支之下派付股息,可產生更多可供分派的收入。然而,這些股份實際上可能從資本派付股息,可能相等於投資者獲得部分原投資額回報或資本收益。所有宣派股息均會導致股份於除息日的每股資產淨值即時減少。
v. 基金可運用衍生工具作對沖及投資用途。然而,不會廣泛用作投資用途。基金在使用衍生工具時可能蒙受損失。
vi. 基金價值可升可跌,且可於短期內反覆,投資者或有可能損失一定程度的投資金額。
vii. 投資者不應單憑此文件作投資決定。投資者應參閱基金章程及產品資料概要以了解風險因素等詳情。
系統化投資
面對今日變幻莫測的市場,我們需要更可預期的投資成果。
系統化投資結合數據化分析、投資科學及嚴謹的投資組合構建程序,令投資方式邁向現代化。系統化投資以嶄新方法尋求穩定回報,以應對瞬息萬變的市場。
系統化投資建基於數據化分析結果。
在數碼時代,我們可獲取大量數據,由傳統來源如企業財務報表及經濟報告等,以至更加複雜及非特定來源,例如公司新聞、網站流量、社交媒體動向、消費者地理位置數據,甚至衛星圖像等。
透過尖端分析技術例如機器學習及人工智能等,我們將大量原始數據轉化為有用的投資資訊,提供較傳統方法更快、規模更大,而且更加精細的分析。
接著,我們會採用嚴格的科學測試,評估這些投資分析實際上能否協助預測未來投資回報。
這過程包括由經驗豐富的投資專家全面核查實際證據,測試不同變數組合,然後與已知結果進行比較。我們具備驗證投資觀點的能力,意味著投資組合的決策完全基於證據,而非單憑個人信念。
最後,當投資觀點被評定為有價值後,我們會採用嚴謹投資組合構建程序來進行投資。我們的投資專家將使用電腦模擬各種複雜的投資取捨,在預期回報、風險、相關性及成本之間找到平衡,以作為任何配置的決策指引。
系統化流程的目的是在每個步驟帶來更為精準的投資成果。
無論您想透過股票尋求風險受控增長,投資債券以創造穩定收入,將可持續因素及ESG觀點納入至投資組合,抑或希望利用另類策略,從新途徑分散風險及開拓回報……
系統性投資都能以嶄新方式,駕馭充滿變數的環境。
什麼是系統化投資?
系統化投資(通常被稱為量化投資)是一種投資方針,透過數據主導的觀點、科學驗證投資意念及先進電腦模擬技術,以建構投資組合。
獨特設計成就出色表現
結合專家見解及人工智能流程
創新投資觀點經過嚴謹的量化測試驗證,從而強化投資專家的決策能力。
為規模化而設計
由科技驅動的流程有助於擴大投資觀點規模,覆蓋廣泛證券,締造涵蓋股票、固定收益及另類投資的多元化投資組合。
穩健的風險管理
採用我們獨有的創新方式及科技,致力控制風險並創造長遠穩定回報。
(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.
1Sell side: refers to a portion of the financial industry that issues, sells, or trades securities in the public market.
2Source: BlackRock, 2024. Investment process is subject to change and is provided here for illustrative purposes.
3Long position: A long position refers to the purchase of an asset with the expectation that its value will increase over time.
4Short 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.
[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.
For investors in Italy: This document is marketing material. Before investing please read the Prospectus and the PRIIPs KID available on www.blackrock.com/it, which contain a summary of investors’ rights.
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.
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Before making any investment decision, you should assess whether the material is appropriate for you and obtain financial advice tailored to you having regard to your individual objectives, financial situation, needs and circumstances. Refer to BIMAL’s Financial Services Guide on its website for more information. This material is not a financial product recommendation or an offer or solicitation with respect to the purchase or sale of any financial product in any jurisdiction.
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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.
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隨著投資流程即時吸收及運用資訊的效率提高,建立能擴展並放大投資觀點價值的系統將帶來明顯優勢。
貝萊德系統分析投資全球主管
為何選擇貝萊德
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01
由數據及科技驅動
我們運用龐大數據集及科技創新,在複雜市況中尋找投資觀點。
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02
科學主導
我們採用精心設計的科學方式測試及驗證投資意念,持續改進及重塑投資方針。
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03
經驗啟發理念
我們擁有40年經驗,結合求知精神及多元思維,協助我們在每個投資步驟均能作出知情決定。
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。2022年,Amazon.com的每月平均流量達31.6億次,阿里巴巴的電子商貿銷售額超過940億美元。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。
Investing evolved
人機合作 革新投資
以獨到的視角重新探索世界
觀看影片了解我們如何利用大數據分析及機器學習/人工智能,並結合專家見解來挑選股票及締造收益。
為基金而設的晨星評級TM(或「星級評級」)針對至少有三年歷史的管理型產品(包括互惠基金、變額年金及變額壽險子帳戶、交易所買賣基金、封閉式基金及獨立帳戶)計算。為便於比較,交易所買賣基金及開放式互惠基金被視為同一類別。晨星評級按照「晨星風險調整後收益」指標計算,該指標考慮了管理型產品每月超額表現的波幅,對下行波幅的權重較高,並偏好表現穩定的產品。每個產品類別中排名前10%的產品獲評為5星,其次22.5%獲評為4星,接下來35%獲評為3星,之後的22.5%獲評為2星,排名最低的10%獲評為1星。管理型產品的整體晨星評級根據與其三年、五年及十年(如適用)晨星評級指標相關的表現數據的加權平均值計算得出,相關權重如下:總回報期為36至59個月︰100%基於三年期評級;總回報期為60至119個月︰60%基於五年期評級/40%基於三年期評級;總回報期為120個月或以上︰50%基於10年期評級/30%基於五年期評級/20%基於三年期評級。雖然10年整體星級評級公式似乎對10年期表現分配最大權重,但最近三年期間的表現實際上影響最大,因為其納入所有三個評級期間的計算中。
所列表現代表過往表現,並非未來表現的保證。投資回報及投資本金的價值將會波動,因此,投資者的股份在出售或贖回時的價值可能大於或小於原本的成本。當前表現可能低於或高於所列表現。截至最近一個月月底的最新表現數據可於www.iShares.com或www.blackrock.com查閱。