Core Viewpoint - The article discusses the evolving dynamics of the Mortgage-Backed Securities (MBS) market since 2025, influenced by factors such as the Federal Reserve's monetary policy, high interest rates, and the performance of residential RMBS [1]. Group 1: Event Background - The MBS market has been experiencing continuous changes since 2025, driven by multiple factors including the Federal Reserve's monetary policy and the high interest rate environment [1]. - Understanding the dynamics of the Agency RMBS market is crucial for assessing the pressures and opportunities facing MBS demand and refinancing activities in a high-rate environment [1]. Group 2: Event Information - The event is scheduled for September 3, 2025, from 10:00 AM to 11:00 AM, and will be held online via Tencent [2]. - The agenda includes presentations on mortgage market dynamics, MBS trading practices, and an overview of the Yield Book's prepayment model [2]. Group 3: Speakers - Hui Ding, the Head of RMBS Research and Modeling at LSEG, has nearly 20 years of experience in the securitization product industry [6]. - Helen Zhang, the Head of Research Model Development at LSEG, has a background in technology and finance, particularly in securitized products [7]. - Irene Shi, a Senior RMBS Researcher at LSEG, focuses on market research and quantitative modeling related to agency RMBS [8]. Group 4: Yield Book Overview - Yield Book has been a reliable source for fixed income analysis for 35 years, offering extensive features for in-depth security and portfolio analysis [11]. - The platform provides market-leading models and derivative analysis solutions, enabling clients to maintain a competitive edge [16]. Group 5: Applications of Yield Book - Yield Book's data and models assist in identifying interest rate and credit risks, crucial for achieving robust financial performance [18]. - The platform offers deep insights into investment strategies, helping clients efficiently allocate their portfolios [19]. - Yield Book serves as a comprehensive solution for pre-trade and post-trade analysis, ensuring accurate assessments of cash flow engines and prepayment/default models [20].

Core Viewpoint - The article emphasizes that AI is transforming the financial analysis landscape by enhancing automation, predictive capabilities, and personalized insights, which are crucial for navigating the complexities of the financial market in 2025 [4][5]. Group 1: AI Integration in Financial Analysis - AI is no longer a future concept but a key element in financial analysis, expected to play a significant role in automating complex tasks, improving decision-making, and providing real-time insights by 2025 [5]. - LSEG's analysis business is at the forefront of integrating AI into financial analysis, offering various AI-driven solutions, including an AI analysis assistant and predictive AI models like StarMine and Yield Book [6]. Group 2: Political Landscape and Regulatory Changes - Political uncertainty continues to drive market volatility, with the potential for significant fluctuations in interest rates, currency values, and stock prices due to policy shifts and international trade disputes [7]. - The Trump administration's regulatory rollbacks aim to stimulate economic growth, particularly in the financial sector, but may also introduce new risks by weakening investor protections [8]. Group 3: Real-Time Risk Management - The demand for intraday analysis is increasing, as financial professionals require real-time monitoring and assessment of risks rather than waiting for end-of-day reports [11]. - LSEG provides over 200 real-time curves covering government bonds and swap curves, enhancing clients' ability to assess mortgage holdings' risk multiple times a day [11]. Group 4: Client Solutions and Support - LSEG's solutions cater to various client types, including traders, portfolio managers, and risk management professionals, offering tools for pricing, performance insights, and regulatory compliance [20][21][24].