道指漲337.28點，漲幅為0.79%，報43077.70點；納指漲51.49點，漲幅為0.28%，報18367.08點；標普500指數漲27.21點，漲幅為0.47%，報5842.47點。美股周三收高，道指創收盤歷史新高。 市場迎來了摩根士丹利等一批最新財報，並關注美國總統大選對股市可能產生的影響。高盛大幅上調標普指數漲幅目標。 據CME「美聯儲觀察」：美聯儲到11月降25個基點的概率為94.1%，維持當前利率不變的概率為5.9%。到12月累計降息25個基點的概率為13.4%，累計降息50個基點的概率為86.1%。 今天（17日）上午10時，國務院新聞辦公室舉行新聞發佈會，住房城鄉建設部部長倪虹和財政部、自然資源部、中國人民銀行、國家金融監督管理總局負責人介紹促進房地產市場平穩健康發展有關情況，並答記者問。 住建部主管媒體：重要政策制度工作在接下來都將系統並及時落到一個「幹」字上 無錫新政：可用上海二手房換購無錫新房。 浙江紹興及山東濰坊分別調高住房貸款額度上限。 據報萬達已向碧桂園服務(6098)支付31.42億人幣股權轉讓款。 據悉蘋果曾與比亞迪合作開發了一款電車的電池系統。 高盛研究公司稱，到2026年，電動汽車的電池成本將大幅下降近50%。 國壽(2628)預告首三季淨利潤按年增長1.65至1.85倍。 自納入港股通以來的18個交易日，南下資金已累計淨買入阿里巴巴559億港元。 LinkedIn Email Facebook Twitter WhatsApp source

道指跌324.80點，跌幅為0.75%，報42740.42點；納指跌187.10點，跌幅為1.01%，報18315.59點；標普500指數跌44.59點，跌幅為0.76%，報5815.26點。 美股周二收跌，英偉達領跌芯片股。以色列不會打擊伊朗原油目標的消息令油價大跌。 投資者正在評估花旗銀行等一批最新出爐的美股財報。多位美聯儲官員將在今天發表講話。 美國9月消費者一年期通脹預期穩定在3%。 國務院新聞辦公室將於2024年10月17日(星期四)上午10時舉行新聞發佈會，請住房城鄉建設部部長倪虹和財政部、自然資源部、中國人民銀行、國家金融監督管理總局負責人介紹促進房地產市場平穩健康發展有關情況，並答記者問。 中國工程機械工業協會：9月銷售各類叉車106002台 同比增長6.06%。 福州：住房公積金購保障房首付最低15% 單人最高貸款額度60萬人幣。 四川資陽樓市新政：買新房就推薦就業崗位。 藥師幫(9885)擬以10.35億元收購Folding Space (Cayman) Ltd.已發行及發行在外股本100%。 中國金茂(817)擬9.66億元收購華福證券持有的上海樅茂B類有限合夥份額。 京東物流(2618)：計劃至2025年底全球海外倉面積實現超100%增長。 中國太保(2601)：前三季度淨利潤預計同比增長60%到70%。 中國人保(1339)：前三季度淨利潤預計增長65%到85%。 中國中免（1880）前三季度實現營業收入430.21億元，同比下降15.38%;淨利潤39.2億元，同比下降24.7%。2024年前三季度，公司主營業務毛利率為32.57%，同比提升1.09個百分點。 中國建材(3323)發盈警 預期前三季度權益持有人應占虧損約7億元 同比盈轉虧。 中國地區消費疲弱 LVMH第三季銷售額跌3%。 LinkedIn Email Facebook Twitter WhatsApp source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Genmo, an AI company focused on video generation, has announced the release of a research preview for Mochi 1, a new open-source model for generating high-quality videos from text prompts — and claims performance comparable to, or exceeding, leading closed-source/proprietary rivals such as Runway’s Gen-3 Alpha, Luma AI’s Dream Machine, Kuaishou’s Kling, Minimax’s Hailuo, and many others. Available under the permissive Apache 2.0 license, Mochi 1 offers users free access to cutting-edge video generation capabilities — whereas pricing for other models starts at limited free tiers but goes as high as $94.99 per month (for the Hailuo Unlimited tier). Users can download the full weights and model code free on Hugging Face, though it requires “at least 4” Nvidia H100 GPUs to operate on a user’s own machine. In addition to the model release, Genmo is also making available a hosted playground, allowing users to experiment with Mochi 1’s features firsthand. The 480p model is available for use today, and a higher-definition version, Mochi 1 HD, is expected to launch later this year. Initial videos shared with VentureBeat show impressively realistic scenery and motion, particularly with human subjects as seen in the video of an elderly woman below: Advancing the state-of-the-art Mochi 1 brings several significant advancements to the field of video generation, including high-fidelity motion and strong prompt adherence. According to Genmo, Mochi 1 excels at following detailed user instructions, allowing for precise control over characters, settings, and actions in generated videos. Genmo has positioned Mochi 1 as a solution that narrows the gap between open and closed video generation models. “We’re 1% of the way to the generative video future. The real challenge is to create long, high-quality, fluid video. We’re focusing heavily on improving motion quality,” said Paras Jain, CEO and co-founder of Genmo, in an interview with VentureBeat. Jain and his co-founder started Genmo with a mission to make AI technology accessible to everyone. “When it came to video, the next frontier for generative AI, we just thought it was so important to get this into the hands of real people,” Jain emphasized. He added, “We fundamentally believe it’s really important to democratize this technology and put it in the hands of as many people as possible. That’s one reason we’re open sourcing it.” Already, Genmo claims that in internal tests, Mochi 1 bests most other video AI models — including the proprietary competition Runway and Luna — at prompt adherence and motion quality. Series A funding to the tune of $28.4M In tandem with the Mochi 1 preview, Genmo also announced it has raised a $28.4 million Series A funding round, led by NEA, with additional participation from The House Fund, Gold House Ventures, WndrCo, Eastlink Capital Partners, and Essence VC. Several angel investors, including Abhay Parasnis (CEO of Typespace) and Amjad Masad (CEO of Replit), are also backing the company’s vision for advanced video generation. Jain’s perspective on the role of video in AI goes beyond entertainment or content creation. “Video is the ultimate form of communication—30 to 50% of our brain’s cortex is devoted to visual signal processing. It’s how humans operate,” he said. Genmo’s long-term vision extends to building tools that can power the future of robotics and autonomous systems. “The long-term vision is that if we nail video generation, we’ll build the world’s best simulators, which could help solve embodied AI, robotics, and self-driving,” Jain explained. Open for collaboration — but training data is still close to the vest Mochi 1 is built on Genmo’s novel Asymmetric Diffusion Transformer (AsymmDiT) architecture. At 10 billion parameters, it’s the largest open source video generation model ever released. The architecture focuses on visual reasoning, with four times the parameters dedicated to processing video data as compared to text. Efficiency is a key aspect of the model’s design. Mochi 1 leverages a video VAE (Variational Autoencoder) that compresses video data to a fraction of its original size, reducing the memory requirements for end-user devices. This makes it more accessible for the developer community, who can download the model weights from HuggingFace or integrate it via API. Jain believes that the open-source nature of Mochi 1 is key to driving innovation. “Open models are like crude oil. They need to be refined and fine-tuned. That’s what we want to enable for the community—so they can build incredible new things on top of it,” he said. However, when asked about the model’s training dataset — among the most controversial aspects of AI creative tools, as evidence has shown many to have trained on vast swaths of human creative work online without express permission or compensation, and some of it copyrighted works — Jain was coy. “Generally, we use publicly available data and sometimes work with a variety of data partners,” he told VentureBeat, declining to go into specifics due to competitive reasons. “It’s really important to have diverse data, and that’s critical for us.” Limitations and roadmap As a preview, Mochi 1 still has some limitations. The current version supports only 480p resolution, and minor visual distortions can occur in edge cases involving complex motion. Additionally, while the model excels in photorealistic styles, it struggles with animated content. However, Genmo plans to release Mochi 1 HD later this year, which will support 720p resolution and offer even greater motion fidelity. “The only uninteresting video is one that doesn’t move—motion is the heart of video. That’s why we’ve invested heavily in motion quality compared to other models,” said Jain. Looking ahead, Genmo is developing image-to-video synthesis capabilities and plans to improve model controllability, giving users even more precise control over video outputs. Expanding use cases via open source video AI Mochi 1’s release opens up possibilities for various industries. Researchers can push the boundaries of video generation technologies, while developers and product teams may find new applications in entertainment, advertising, and education. Mochi 1 can also be used

Two sides of the same coin; the yin and the yang; two sides of the equation — 2025 will be a year of consumer contradictions. Consumers will behave in opposing ways. But the two behaviors aren’t created equal: One will mask the other, predominant one. As a result, brands will be befuddled about what to believe. Consumers will become more disloyal to brands yet join more loyalty programs. Cancel culture will boil over, but consumers will start to tune out. Those that succeed in 2025 will be able to distinguish noise from reality. As you navigate the influx of consumer contradictions in 2025, keep in mind Forrester’s consumer predictions for the new calendar year: Brand loyalty will decline 25%, but usage of loyalty programs will increase. Price sensitivity and high prices cloud consumers’ views as food costs peak, brands resort to uncharacteristic discounts, and retailers such as SHEIN and Temu demonstrate the power of undercutting competitors. Consumers are not only feeling it, but they’re also going to do something about it, because price sensitivity breeds brand-switching behaviors. But while brand loyalty falters, loyalty program usage will rise as customers look to grab value (and personalized value) wherever they can. Negative social media sentiment will dominate headlines, but usage will grow. The odds don’t seem to favor this prediction, as new laws are introduced to curb usage, the US surgeon general calls for a warning label on social platforms, and studies link social media to poorer mental health outcomes. Despite these concerns, we predict that consumers will spend more time with social media next year as it evolves beyond social connections. The major platforms are now just as much about entertainment and shopping as they are about keeping up with friends and family. Technology for social commerce has finally improved, integrating Shopify, Amazon, and Apple Pay seamlessly, at a time when creators look for more ways to demonstrate their ROI to brands. As social media moves beyond just being social, these venues will become ideal platforms for brands to build relationships across the entire customer lifecycle. Consumers will find it less convenient to stay offline. Cancel culture reaches a tipping point, but 60% of consumers will tune out. Cancel culture — boycotting or shaming companies or people who have acted objectionably — is on the upswing. Forrester data shows that online adults globally take actions such as posting on social media or telling a family member or friend to avoid a company in response to perceived misdeeds. For our 2024 predictions, we foresaw that brands’ inaction (playing it safe) would cause consumer tension. But in 2025, it will be consumers’ turn to be less active as we enter an era of desensitization: They will tune out as media hysteria around cancel culture reaches new heights and social media algorithms amplify hot takes. The writing is on the wall: Our survey data finds that the share of online adults who often think about a company’s social, environmental, or political values when purchasing is down 10 percentage points in Italy, while the belief that companies have a responsibility to participate in debates about current issues fell 4 percentage points in the US. Read Forrester’s full Predictions 2025: Consumers report to get more detail about each of these predictions and others. Then, set up a Forrester guidance session with me to discuss how to apply these predictions and best practices to stay ahead in the coming year. If you aren’t yet a Forrester client, you can download our complimentary Predictions guide on B2C marketing and customer experience, which covers more of our top predictions for 2025. Find additional complimentary resources, including webinars, on the Predictions 2025 hub. source

  上周五美股截至收盤，道指漲36.86點，漲幅為0.09%，報43275.91點;納指漲115.94點，漲幅為0.63%，報18489.55點;標普500指數漲23.20點，漲幅為0.40%，報5864.67點。 美股周五收高，道指與標普指數創收盤歷史新高，三大股指均連續第六周錄得漲幅。 上周納指累漲0.80%，標普累漲0.85%，道指累漲0.96%，三大指數均錄得周線六連漲。 Netflix強勁財報提振了市場情緒。市場關注美聯儲官員講話及美國大選前景。 國常會研究部署深入推進全國統一大市場建設的有關舉措。 23家A股公司參與首批回購增持再貸款 規模超百億人幣。 香港財政司司長陳茂波：進一步探索加大與內地黃金市場對接。 香港證監會與港交所宣佈將優化新上市申請審批流程時間表。 騰訊在線視頻副總裁馬延琨：上半年會員平均存量 1.17 億位列行業第一，同比增長 10%。 中州證券(1375)被中國證監會暫停債券承銷業務。 中集集團(2039)發盈喜 預計前三季度歸母淨利潤同比增長233%至304%。 紫金礦業(2899)公佈前三季度業績 歸母淨利潤 243.57 億元 同比增長 50.68%。 中國平安(2318)附屬平安銀行第三季賺138.5億人民幣 倒退2.8%。 中國中藥(570)國藥集團提私有化建議失效。 LinkedIn Email Facebook Twitter WhatsApp source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Cohere has added multimodal embeddings to its search model, allowing users to deploy images to RAG-style enterprise search.  Embed 3, which emerged last year, uses embedding models that transform data into numerical representations. Embeddings have become crucial in retrieval augmented generation (RAG) because enterprises can make embeddings of their documents that the model can then compare to get the information requested by the prompt.  Your search can see now. We’re excited to release fully multimodal embeddings for folks to start building with! pic.twitter.com/Zdj70B07zJ — Aidan Gomez (@aidangomez) October 22, 2024 The new multimodal version can generate embeddings in both images and texts. Cohere claims Embed 3 is “now the most generally capable multimodal embedding model on the market.” Aidan Gomez, Cohere co-founder and CEO, posted a graph on X showing performance improvements in image search with Embed 3.  The image-search performance of the model across a range of categories is quite compelling. Substantial lifts across nearly all categories considered. pic.twitter.com/6oZ3M6u0V0 — Aidan Gomez (@aidangomez) October 22, 2024 “This advancement enables enterprises to unlock real value from their vast amount of data stored in images,” Cohere said in a blog post. “Businesses can now build systems that accurately and quickly search important multimodal assets such as complex reports, product catalogs and design files to boost workforce productivity.” Cohere said a more multimodal focus expands the volume of data enterprises can access through an RAG search. Many organizations often limit RAG searches to structured and unstructured text despite having multiple file formats in their data libraries. Customers can now bring in more charts, graphs, product images, and design templates.  Performance improvements Cohere said encoders in Embed 3 “share a unified latent space,” allowing users to include both images and text in a database. Some methods of image embedding often require maintaining a separate database for images and text. The company said this method leads to better-mixed modality searches.  According to the company, “Other models tend to cluster text and image data into separate areas, which leads to weak search results that are biased toward text-only data. Embed 3, on the other hand, prioritizes the meaning behind the data without biasing towards a specific modality.” Embed 3 is available in more than 100 languages.  Cohere said multimodal Embed 3 is now available on its platform and Amazon SageMaker.  Playing catch up Many consumers are fast becoming familiar with multimodal search, thanks to the introduction of image-based search in platforms like Google and chat interfaces like ChatGPT. As individual users get used to looking for information from pictures, it makes sense that they would want to get the same experience in their working life.  Enterprises have begun seeing this benefit, too, as other companies that offer embedding models provide some multimodal options. Some model developers, like Google and OpenAI, offer some type of multimodal embedding. Other open-source models can also facilitate embeddings for images and other modalities. The fight is now on the multimodal embeddings model that can perform at the speed, accuracy and security enterprises demand.  Cohere, which was founded by some of the researchers responsible for the Transformer model (Gomez is one of the writers of the famous “Attention is all you need” paper), has struggled to be top of mind for many in the enterprise space. It updated its APIs in September to allow customers to switch from competitor models to Cohere models easily. At the time, Cohere had said the move was to align itself with industry standards where customers often toggle between models.  source

When it comes to public cloud in 2024, there’s no denying that AI has dominated the conversation, providing cloud customers with a variety of new options. In fact, a year ago, we predicted that AI would rattle some of the biggest cloud players this year, and it certainly did (we’ll do a deep dive on our 2024 predictions’ accuracy in a separate blog early next year). In 2025, public cloud AI offerings will continue to expand and mature, but private cloud will also thrive in the year ahead due to some complex industry dynamics that started in 2024 and will play out in 2025. Some persistent challenges will impact the public cloud market, such as supply shortages, quality concerns, and data security, pushing new behaviors for vendors and users alike. Hyperscalers will invest in AI model quality and increased GPU firepower to drive the new AI services, but at the cost of some sustainability goals. More users will seek out AI capabilities in the private cloud domain. For the cloud market in 2025, we predict that: Integrated RAG services will become the hottest new cloud services. In the past year, cloud players sought differentiation through AI infrastructure and foundation models. But FMs bring their own issues, including hallucinations and accuracy concerns. In 2025, we predict that cloud players will shift their focus to retrieval-augmented generation (RAG) services as a form of differentiation. In fact, in the year ahead, every major hyperscaler will launch RAG-related solutions to build accuracy into their generative AI services. Private cloud will gain momentum with VMware alternatives. On-premises computing (by any name) is on the rise again as companies solve sovereignty, cost, and data ownership/security challenges, but newcomers and private cloud expanders likely won’t look to expand business with dominant private cloud player VMware given the bundling and pricing changes announced in the first half of 2024. As a result, Forrester predicts that in 2025 most major public cloud providers will increase investments in private cloud, and offerings like Nutanix and open-source projects like OpenStack will see increased user interest. Platform specialists will squeeze out native cloud platforms’ security capabilities. Vendors such as Cisco, Fortinet, Palo Alto Networks, and Wiz have made significant investment into their cloud security solutions with cloud security posture management, cloud infrastructure entitlement management, infrastructure-as-code scanning, and container security functionality sets, as well as centralized and generative AI-supported policy management, detection, response, and reporting. In 2025, hyperscalers such as AWS, Azure, and Google will continue to build their native cloud workload security (CWS) capabilities, but the competition from standalone solutions will be a formidable threat. By the end of 2025, 60% or fewer cloud customers will prefer the hyperscaler platform’s native CWS capabilities, while the remaining 40% will use a platform specialist CWS vendor. Forrester clients can read our full Predictions 2025: Cloud Computing report to get more detail about each of these predictions and read additional predictions. Set up a Forrester guidance session to discuss these predictions or plan out your 2025 cloud strategy. If you aren’t yet a client, you can download our complimentary Predictions guide, which covers more of our top technology and security predictions for 2025. Get additional complimentary resources, including webinars, on the Predictions 2025 hub. source

外賣送貨及送餐平台foodpanda 香港今天舉行10周年誌慶，該公司表示，自2014年成立以來，合共完成了超過1.5億張訂單，因應消費者需求轉變，從當日的「外賣平台」逐步轉向「一站式生活平台」。由於公司對大數據分析、本港市場的熟悉、獨有的商業模式及用戶體驗等，相信於香港仍具有發展空間，並對市場長遠發展保持樂觀。 港人外賣最愛買米線和日本雞蛋 foodpanda 香港整理十年來的數據，並製作「十大之最」，當中米線成功蟬聯十年以來港人最愛菜式，而生活百貨之最則是日本雞蛋。至於foodpanda最「大」訂單是一張美食外送訂單，有449件食品。另外，foodpanda服務最長時間的一位送遞員，累積的送遞距離等同經赤道環繞地球近兩周。 foodpanda 香港行政總裁賴偉昕（相）表示，公司在港紮根十年，並透過大數據分析，增強業務能力，今年第三季整體訂單量保持穩定，到會服務業務按年上升逾兩倍，企業服務業務按年上升逾一倍，快商務業務按年上升近一成。 賴偉昕提到，foodpanda服務已經覆蓋香港95%的人口，今年也取得穩健的業務表現。單看第三季，到會服務業務按年增長逾兩倍，企業服務業務按年倍增，包含生活百貨的快商務業務則按年上升近一成。 foodpanda快商務總監陸欣舜稱，自從生活百貨送遞服務推出以來，已經完成900萬張訂單，當中屬蛋類產品銷情最佳。現時平台上有1000個生活百貨品牌、超過1萬個不同產品服務香港市場。 《2024年施政報告》提出發展低空經濟，競爭對手亦有意在香港探索無人機送遞。賴偉昕指，foodpanda母公司Delivery Hero在一些歐洲市場正在探索無人機送遞，未來會密切關注是否可將經驗引進香港。 LinkedIn Email Facebook Twitter WhatsApp The post foodpanda香港慶祝10周年 外賣平台變成一站式生活平台 appeared first on VeriMedia. source

  道指跌344.31點，跌幅為0.80%，報42931.60點；納指漲50.45點，漲幅為0.27%，報18540.01點；標普500指數跌10.69點，跌幅為0.18%，報5853.98點。 美股周一收盤漲跌不一，道指下跌逾340點。英偉達再創新高。 市場繼續關注美股財報，以進一步判斷美國經濟狀況。達拉斯聯儲行長表示支持「漸進式」降息，稱寬松政策將有助於避免就業市場過度降温，並使通脹迴歸目標。 國際金價再創歷史新高，COMEX黃金期貨上漲8.90美元/盎司，漲幅0.33%，報2738.90美元/盎司。 央行開展證券、基金、保險公司互換便利首次操作 本次操作金額500億元，採用費率招標方式，20家機構參與投標，最高投標費率50bp，最低投標費率10bp，中標費率為20bp。 多家股份行宣佈下調存款掛牌利率 下調幅度與國有大行基本一致 香港：研究推出離岸國債期貨。 中信股份(267)：出售麥當勞中國大陸和香港業務剩余權益。 中國平安 (2318)前三季度營收8618.17億元，同比增長8.7%；歸屬於母公司股東的淨利潤1,191.82億元，同比增長36.1%。截至2024年9月30日，平安個人客戶數2.40億，其中持有集團內4個及以上合同的客戶佔比爲25.1%，留存率達98.0%。 中國移動 (941)第三季度營業收入爲2,447億元，同比下降0.1%；歸屬於母公司股東的淨利潤爲307億元，同比增長4.6%。前三季度營業收入爲7,915億元，同比增長2.0%；歸屬於母公司股東的淨利潤爲1,109億元，同比增長5.1%。 LinkedIn Email Facebook Twitter WhatsApp source

（左起）中原(工商舖) 商舖部董事黃偉基、董事總經理潘志明、寫字樓部董事陳雁樓、工商部董事劉重興。（Ben Yue拍攝） 本港第三季整體投資氛圍信心不足，工商舖市場於第二季輕微回暖後後勁不繼，令工商舖市場交投轉趨疲弱。據中原(工商舖)資料顯示，第三季工商舖買賣價量齊跌，共錄得約696宗工商舖買賣成交，較上季跌約21%，按年對比亦跌約14%，為連續第五個季度跌穿1,000宗成交水平。然而9月份美國減息周期啟動，加上内地政府接連推出多項大力振市政策，令股票市場表現水漲船高，最新公佈的香港施政報告中，按揭鬆綁上限至七成，為物業投資市場帶來提振作用，預測第四季度整體市場氣氛會顯著改善，表現會谷底回升，但礙於市場積存貨量高企，相信平均呎價及租金仍會有約5%至10%的下調空間。 舖位買賣按季價量續跌 政府積極推動消費，振興經濟，惟市民及訪港旅客消費模式都仍趨保守，商戶開業情況未如理想。中原(工商舖)商舖部董事黃偉基表示，據中原(工商舖)統計，2024年第三季共錄得約175宗商舖買賣成交，較第二季數字下跌約30%，與2023年同期相比，亦下挫約15%，第三季內總成交金額則錄得約32.9億元，對比上一季跌約21%，創下2021年以來最低，按年同期對比相差達約37%。 寫字樓按季買賣創2021年來新低 隨著香港商廈市場供應量持續增加，供過於求的局面已經對寫字樓的租賃及買賣表現帶來明顯的壓力。尤其在2024年第三季，寫字樓市場進一步陷入低迷，買賣交投創下2021年以來按季新低。 工廈按季買賣跌租賃升 季内工廈投資氣氛疲弱，工商物業買賣交投及呎價表現亦有所影響。中原(工商舖)工商部董事劉重興表示，第三季工廈物業買賣交投驟減，季内錄得買賣約400宗，按季跌約兩成，按年跌約14%。成交金額方面，第三季錄得約37.73億元成交，按季大跌約48%，按年亦跌約兩成。至於租賃方面，第三季共錄得約1,680宗工廈租務，按季微跌約6%，但按年則大增約31%，租賃成交金額亦同見上漲，錄得約5,349萬元，按季及按年分別上升約21%及約32%。 中原(工商舖)董事總經理潘志明表示，適逢美國減息周期啟動，中國政府推出大力振經濟措施，最新港府施政報告亦加入支持物業投資市場，料氣氛會逐步轉熾熱。目前市場上醖釀的成交數量眾多，不少投資者已密鑼緊鼓吸納低價物業，而港股9月份的突出表現，亦利好資產市場氣氛和工商業的經營環境，投資者風險胃納增加，相信可帶動更多資金出爐，形成連鎖財富效應，長遠利好房地產。減息、國家著力振興經濟、港府施政措施看重物業市場，三管齊下預料第四季整體投資氣氛會見升溫，工商舖買賣表現會谷底反彈。   LinkedIn Email Facebook Twitter WhatsApp The post 中原(工商舖)：工商舖呎價料再跌5到10% appeared first on VeriMedia. source