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线下活动邀请 | 亚马逊云科技:从合规到增长,助力支付企业全球化
Refinitiv路孚特· 2025-10-10 06:03
活动亮点 参会收获 活动时间 地点: 上海亚马逊云科技生命健康数字化赋能中心(上海市徐汇区枫林路420号枫林国际大厦二期A 座三楼) LSEG发言嘉宾 赵妍娜 亚太区金融科技风险情报业务负责人 LSEG 活动议程 1:00 PM – 1:30 PM 聚焦支付企业出海过程中的合规与增长机遇 解析全球合规与金融科技发展趋势 分享企业征信、商户认证及风控创新应用 走进亚马逊云科技创新中心,沉浸式体验创新与交流 全面理解全球支付与合规趋势 听取重磅嘉宾关于支付网络创新的前沿观点 了解风险情报驱动的AML合规与风控实践 探索企业征信与商户认证在支付合规中的应用 与行业专家深度交流,获取可落地的解决方案与合作机会 日期: 2025年10月17日(周五) 时间: 14:00 – 17:00 签到 1:30 PM – 1:40 PM 开场致辞 1:40 PM – 2:20 PM 亚马逊2:2云0科PM技分– 享3:0:0全PM球IT合规建设与实践 LSEG分享:风险情报驱动的AML与合规实践 亚马逊云科技分享:面向未来的金融架构与区块链管理趋势 4:00 PM – 4:40 PM 青岛格兰德数据分享:企业征信与商户认证应用 ...
线下活动邀请 | 量化洞察上海专场:从微观交易到宏观经济
Refinitiv路孚特· 2025-10-09 06:03
活动背景 在瞬息万变的金融市场中,准确及时的宏观经济情报与微观交易数据正成为卖方研究与投资决 策的关键驱动力。宏观层面,LSEG 与 XTech 联合推出的预测模型,通过前沿指标提前洞察全 球经济趋势,为研究机构和投资者提供可操作的市场信号。微观层面,借助分钟级别的股票交 易数据和机器学习算法,投资者能够实时识别"聪明资金"何时建仓或减仓,从而在制定入场与 退出策略时获得关键优势。 LSEG 的解决方案将宏观经济预测与市场微观结构分析相结合,帮助卖方研究人员和投资专业 人士在海量信息中精准识别"信号",有效规避"噪音",提升研究效率与投资回报。 我们诚挚邀请您参加由伦敦证券交易所集团(LSEG)主办的量化专题活动——" 从微观交易到 宏观经济:LSEG量化洞察上海交流会 ",与基金、量化、研究机构及咨询公司的专业人士,共 话量化洞察与数据驱动的投资未来。 徐晓波 ,锐天投资创始人、投资部负责人 李怡康 ,FFT Investment 合伙人/COO Arman Sahovic博士 , LSEG亚太区Front Office解决方案总监 活动时间 活动议程 16:30 - 17:00 签到与交流 17:00 - ...
LCH SwapClear欢迎中国工商银行(亚洲)成为会员
Refinitiv路孚特· 2025-09-30 06:03
Core Viewpoint - The announcement of China Construction Bank (Asia) becoming a direct clearing member of LCH SwapClear signifies a strategic move to enhance its presence in the international derivatives market and improve risk management capabilities [1][2]. Group 1: Membership and Strategic Importance - China Construction Bank (Asia) has achieved direct clearing membership with LCH SwapClear, allowing it to utilize LCH's multi-currency clearing capabilities [1]. - This membership reflects the significant growth in trading and positions between China Construction Bank (Asia) and LCH, enhancing the bank's risk management and cost efficiency [2]. - The bank plans to join LCH's ForexClear service by the end of the year, indicating a commitment to expanding its clearing solutions [1][2]. Group 2: Market Expansion and Collaboration - LCH has welcomed China Construction Bank (Asia) as part of its ongoing efforts to support the growth of the Asian clearing derivatives market [2]. - The addition of China Construction Bank (Asia) further increases the participation of Chinese banks in the global clearing system, showcasing deepening cooperation between Chinese institutions and global clearinghouses [3]. - LCH has added 18 new members from the Asia-Pacific region since 2020, indicating a trend of regional banks adopting its post-trade solutions to manage risks more effectively [3]. Group 3: Regulatory and Operational Developments - A memorandum of understanding was signed between LCH and the Hong Kong Monetary Authority's Central Money Market Unit to promote multilateral netting and clearing of offshore RMB foreign exchange derivatives [3]. - This initiative aims to eliminate significant barriers to trading activity growth and explore the inclusion of other currencies based on market acceptance and demand [3].
转变您管理与分析风险的方式:风险分析实验室
Refinitiv路孚特· 2025-09-29 06:03
Core Viewpoint - LSEG has launched the Risk Analytics Lab, a powerful new platform that combines the flexibility of the Open Risk Engine (ORE) with the efficiency and simplicity of SaaS, designed for risk management professionals to provide smarter, faster, and more collaborative risk management solutions [1][3]. Group 1: Key Features - Risk Analytics Lab offers a free entry point for users to access cutting-edge risk and pricing capabilities, fostering a growing user community for shared innovation and addressing industry challenges [2]. - The platform integrates market data and pre-configured workflows, allowing users to execute risk calculations instantly without lengthy setup processes or complex integration projects [1][4]. - The open-source architecture of Risk Analytics Lab enables users to customize and collaborate, promoting a community-driven approach to pricing and risk analysis [5]. Group 2: Advantages - Risk Analytics Lab provides a free usage option, significantly reducing costs for risk management professionals, making it a more viable investment choice for enterprises [4]. - The SaaS solution can be activated immediately, allowing teams to demonstrate its capabilities out of the box while being scalable to meet complex risk calculation needs [4]. - The platform supports advanced mathematical models and simulations for accurate pricing of structured derivatives, utilizing methods like Black-Scholes and Monte Carlo simulations [7]. Group 3: Applications and Capabilities - Risk Analytics Lab facilitates complex product pricing, xVA simulations, and sensitivity analysis, enabling teams to price complex products and validate models [5][6]. - It integrates with Post Trade Solutions' market data services, providing cleaned market data for pricing and model calibration [7][12]. - The platform supports compliance and regulatory reporting, serving as a technical foundation for Basel III and IFRS 13 reporting [12].
打击授权付款欺诈:在充满风险的环境中保障全球支付安全
Refinitiv路孚特· 2025-09-26 06:03
Core Insights - Authorised Push Payment (APP) fraud is evolving into a global epidemic, with estimated losses reaching $331 billion by 2027 [2][6] - In the UK, APP fraud accounted for £460 million in losses in 2023, representing 40% of all payment fraud [2] - The need for coordinated cross-border anti-fraud strategies is urgent due to the increasing severity of global financial fraud [3] Group 1: APP Fraud Overview - APP fraud exploits human trust and urgency, often using identity impersonation and advanced AI-generated deepfake content [4] - Victims unknowingly authorize payments, making recovery of funds extremely difficult [4] - The rise of instant payments, fragmented regulations, and limited data sharing enables fraudsters to transfer funds across borders at unprecedented speeds [4] Group 2: Global Actions Against APP Fraud - Governments worldwide, including the UK, EU, US, Australia, and Singapore, are implementing stricter fraud liability, compensation, and verification rules [6][10] - Real-time account verification tools, such as LSEG's Global Account Verification, can reduce fraud risk and ensure the security of cross-border payments [6] Group 3: Importance of Account Verification - Real-time account verification is a practical response to the evolving nature of APP fraud, which is driven by instant payments and complex scam techniques [7] - LSEG's Global Account Verification allows institutions to verify bank account details and ownership across jurisdictions, helping to mitigate fraud risk [7] - Integrating verification mechanisms into payment processes can effectively prevent identity impersonation, false invoices, and erroneous payments [7] Group 4: Regional Regulatory Measures - The UK is enforcing a 50/50 compensation mechanism for consumers, expanding the use of Confirmation of Payee (CoP) technology [10] - The US is introducing new fraud classification and ACH fraud monitoring rules through the FTC and Federal Reserve [10] - The EU is clarifying fraud liability through PSD3 and PSR1 regulations, mandating CoP mechanisms across the Eurozone [10] - Australia is promoting CoP mechanisms and implementing biometric account opening rules [10] - Singapore has enacted the Cybercrime Harm Act to block fraudulent accounts and related content [10]
将定价与参考数据迁移至云端,重塑交易生命周期
Refinitiv路孚特· 2025-09-25 06:03
Core Viewpoint - Financial services institutions are increasingly recognizing the diverse application value of migrating pricing and reference data to the cloud, which includes modeling, process automation, and AI-driven innovation projects [2][4]. Group 1: Cloud Migration Benefits - The DataScope Warehouse enables enterprises to quickly and conveniently access necessary pricing and reference data in the cloud, enhancing efficiency across the trading lifecycle [4][5]. - A recent global survey by LSEG revealed that 47% of respondents are already using market and pricing data in the cloud, while 38% are utilizing cloud-based reference data, indicating that cloud data is becoming a core driver of fintech transformation and business agility [2][4]. Group 2: DataScope Warehouse Features - DataScope Warehouse was officially launched in September 2024, allowing enterprises to access LSEG's complete pricing and reference data globally, with new customers able to connect within 24 hours, significantly speeding up deployment compared to traditional on-premises solutions [5][6]. - The platform is continuously optimized, with new features, cloud distribution interfaces, and additional datasets set to be released over the next 18 months [4][8]. Group 3: Cost Efficiency and Management - DataScope Warehouse significantly reduces total ownership costs by providing a solution that allows enterprises to efficiently maintain and manage their data needs [6][7]. - The service is natively deployed on Snowflake and Google Big Query platforms, facilitating rapid and secure data sharing across various jurisdictions, thus enhancing global operations and data management efficiency [7]. Group 4: Future Developments - Upcoming features for DataScope Warehouse include "Change Tracking," which will help enterprises manage data deployment and governance more effectively by notifying users of data changes [8]. - Additional content, including corporate actions data, will be introduced in the coming months to support financial institutions' evolving business needs [9].
LSEG跟“宗” | 美联储2026、2027年降息指标“不靠谱” 市场主流未反映美息跌至1%
Refinitiv路孚特· 2025-09-24 06:03
Core Insights - The article discusses the implications of the recent Federal Reserve interest rate decisions and their potential impact on commodity markets, particularly gold and silver [2][26][27] - It highlights the current sentiment in the market regarding precious metals and the positioning of managed funds in the futures market [5][6][14] Group 1: Federal Reserve and Interest Rates - The Federal Reserve lowered interest rates by 0.25% and indicated two more cuts this year, with further reductions expected in 2026 and 2027, although the magnitude is less than predicted by investment banks [2][26] - The article questions the need for rate cuts if the economy is performing well and inflation is controlled, suggesting that market expectations may not fully reflect potential future rate decreases [27][28] Group 2: Commodity Market Sentiment - Managed positions in COMEX gold showed a net long position of 499 tons, down 3.6% from the previous week, while silver's net long position increased to 5,930 tons, up 1.0% [5][6] - The article notes that gold prices have increased by 40.5% year-to-date, while fund long positions have decreased by 1.4% during the same period [5][6] Group 3: Market Dynamics and Predictions - The article suggests that the current gold bull market may be in a consolidation phase, with indicators for its end being a return to a rate hike cycle or improved global cooperation leading to economic growth [27][28] - It emphasizes the importance of monitoring the gold-to-silver ratio as a measure of market sentiment, which currently stands at 85.509, reflecting a 5.9% decline this year [21][22] Group 4: Fund Positioning and Trends - The article highlights that despite a general bullish sentiment towards commodities, managed funds have begun increasing short positions in precious metals, which may limit price increases [5][6][14] - The article also discusses the historical context of fund positioning in copper and other metals, indicating a shift in market dynamics influenced by external factors such as tariffs and geopolitical events [16][28]
精彩回顾 | LSEG中国能源期货研讨会-新加坡
Refinitiv路孚特· 2025-09-23 06:03
Core Insights - The LSEG China Energy Futures Seminar highlighted the internationalization of China's energy derivatives market and the investment opportunities and market dynamics associated with it [1][3]. Group 1: Global Energy Market Dynamics - LSEG's commodity research team provided insights into global energy market trends, noting that China's Strategic Petroleum Reserve (SPR) is opportunistically replenishing during periods of soft oil prices [5]. - The strong export of WTI crude oil from the U.S. is expected to continue influencing the North Sea spot market [5]. - The impact of U.S. tariff policies on the Asian petrochemical industry was discussed, emphasizing the need for companies to adjust capacity and cost strategies in response to excess capacity and declining profit margins [5]. Group 2: Growth and Innovation in China's Energy Futures Market - The Shanghai Futures Exchange (SHFE) reported robust growth in China's futures market, with a total trading volume of 7.7 billion contracts and a turnover exceeding 619 trillion RMB in 2024 [7]. - Energy contracts, particularly Shanghai crude oil futures, are highlighted for their high liquidity and relevance to the Chinese market fundamentals, serving as a regional pricing benchmark [7]. - Future plans include the introduction of new contracts such as liquefied natural gas (LNG) and continued efforts to enhance international cooperation and investor services [7]. Group 3: Empowering Industries through DCE's Petrochemical Products - The Dalian Commodity Exchange (DCE) emphasized its role in empowering industries through innovative product offerings and services, showcasing successful case studies [9]. - DCE's futures prices have become significant benchmarks in various sectors, helping domestic and international enterprises hedge against price volatility [9]. - Future initiatives aim to build a world-class futures exchange with comprehensive products and global price influence [9]. Group 4: ZCE's Opening-Up and Product Features - The Zhengzhou Commodity Exchange (ZCE) reviewed its development over the past 30 years and outlined pathways for foreign investors to participate in China's futures market [11]. - Key products like PTA and methanol are highlighted for their market impact and openness to international participation [11]. - ZCE plans to enhance its offerings and optimize market rules to attract more foreign clients and increase the international influence of Chinese commodity prices [11]. Group 5: Global Opportunities in China's Futures Market - A panel discussion led by CITIC Futures explored China's unique advantages and global opportunities in the futures market, emphasizing its status as a major consumer of many commodities [12]. - The Chinese futures market provides good liquidity for paper traders and unique contracts for hedging physical price risks [15]. - China has opened over 50 futures contracts to international investors, offering additional cross-border arbitrage and industry chain hedging opportunities [15].
金融欺诈的转变:亚太地区动态变化
Refinitiv路孚特· 2025-09-22 06:02
Core Viewpoint - The article discusses the evolving landscape of financial fraud, emphasizing the significant scale and complexity of the issue, with global losses estimated to approach $5 trillion annually, and highlights the need for resilience against such threats [1][3]. Group 1: Current Trends in Financial Fraud - Financial crime is increasingly dynamic, with criminals exploiting vulnerabilities in fraud protection mechanisms, leading to a diverse range of victim types [3]. - Identity-based fraud, particularly "synthetic identity fraud," is a major concern, with participants in a webinar identifying it as the second hardest type of fraud to combat, following "cross-border payment fraud" [3]. - Fraud is interconnected with over 64 types of financial crimes, indicating its role as a funding mechanism rather than just a standalone crime [3]. Group 2: Key Initiatives by INTERPOL - INTERPOL's financial crime and anti-corruption coordinator introduced several anti-fraud initiatives, including the "Global Rapid Intervention of Payments" mechanism to address rising fraud threats [5]. - One notable project, "HAECHI Action," focuses on combating cyber-driven crime, successfully dismantling a global Ponzi scheme that defrauded thousands in South Korea and Poland, resulting in losses of up to €28 million [6]. - Timely reporting of crimes is crucial, as prompt communication with INTERPOL can significantly aid in asset recovery and fraud prevention [6]. Group 3: Transforming Risk into Resilience - Early identification of potential fraud is essential, and a data-driven approach can facilitate this by recognizing abnormal behavior patterns among customers [7][8]. - Network analysis can help connect clues and reveal hidden criminal networks, providing a comprehensive view of risks [8]. - Implementing multi-factor authentication methods, including biometric verification and trusted data sources, is recommended as a best practice to prevent fraud [8]. Group 4: Global Collaboration and Awareness - Experts agree that fraud is no longer an isolated issue but a global problem requiring enhanced collaboration between public and private sectors and continuous information sharing [9].
财富专业洞察:从市场噪音到投资逻辑,AI在智能投资中的角色
Refinitiv路孚特· 2025-09-19 06:03
Core Insights - The wealth management industry is undergoing a significant transformation driven by the rise of artificial intelligence (AI) and increasingly complex investor behavior [1][2][4] Group 1: Impact of AI on Wealth Management - AI will play a crucial role in enhancing advisor-client relationships by taking over tedious tasks such as tax planning, legal matters, and portfolio management, allowing advisors to focus more on client interactions [2][4] - The use of AI tools can help advisors and portfolio managers gain insights into market dynamics, including trending topics and sentiment analysis, which is essential for understanding market events [3][4] Group 2: Importance of Narrative Intelligence - Narrative intelligence is becoming a key differentiator, helping advisors interpret market sentiment and guide clients through emotional decision-making [4][7] - By leveraging sentiment analysis and natural language processing, advisors can help clients understand market events, reducing the likelihood of panic selling or irrational investment decisions [5][6] Group 3: Ensuring Trust in AI Tools - Trust in AI tools depends on transparency and multi-layered validation, with companies needing to adopt best practices to ensure the reliability and relevance of insights [4][6] - Practical measures include ensuring AI tools can trace information sources and employing prompt engineering to improve the quality of outputs from AI systems [6][7]