第14版的核心是对 QuantLib v1.40 的升级——这是构建 ORE 的开源量化金融库的最新版本。这一集 成带来了更流畅的性能、更高的一致性，并确保ORE能够持续满足全球金融机构不断变化的需求。 此外，自上次发布以来，开发团队已解决了100多个问题单，回应了用户反馈，并对平台进行了微 调，以在所有使用场景下实现更高的稳定性和准确性。 固定收益与大宗商品的扩展建模 本次版本扩展了 ORE 在多类新产品和市场领域的分析能力。新增支持商品期货的美式期权，使得这 些复杂衍生品能够通过有限差分法进行定价。用户现在还可以对可赎回债券及其衍生品进行建模，包 括远期、总回报互换以及基于可赎回债券标的的期权，并能像其他固定收益工具一样实现同样的精确 性和灵活性。 对债券期货的增强功能包括引入"最便宜可交割（Cheapest-to-Deliver）"特性以及债券期货的总回报 互换。同时，为大宗商品浮动利率新增的舍入规则确保估值与市场惯例保持一致。总体而言，这些改 进推动 ORE 不断演进，成为风险管理领域最全面的开源框架之一。 开源技术正在不断重塑金融格局，为企业提供以极低成本甚至免费获取先进分析和模拟工具的途径。 在交 ...

Core Insights - LSEG Post-Trade Solutions collaborates with Rhisco Group to enhance quantitative capabilities and expand service coverage in Mexico and the broader LATAM market [1] - The partnership aims to create innovative solutions tailored for clients in the region and develop new strategies and technologies to benefit the financial industry as a whole [1] - A significant outcome of this collaboration is the successful implementation of an XVA valuation and regulatory reporting platform for Banca Mifel, addressing new regulatory requirements from the Mexican central bank [1][2] Summary by Sections Collaboration and Objectives - The partnership combines LSEG's global experience with Rhisco's regional expertise to provide enhanced services [1] - The goal is to deliver innovative solutions and improve service efficiency for both regional and global clients [1] Implementation and Impact - The XVA platform was successfully deployed for Banca Mifel, enabling comprehensive valuation capabilities at various levels [2] - Banca Mifel's position in the local derivatives market is strengthened, allowing for business expansion and compliance with advanced XVA and reporting technologies [2] Future Plans - LSEG Post-Trade Solutions plans to deepen its presence in major LATAM markets, focusing on cost-effective risk analysis solutions that comply with local regulations [2] - Future initiatives include hosting industry events to foster collaboration and providing Spanish-language documentation and consulting services to enhance local accessibility [4]

Core Insights - Open-source technology is widely applied across various industries, enabling companies to access professional functionalities at minimal or no cost, particularly in the post-trade sector [1] - The latest version of the Open-source Risk Engine (ORE) has been released, featuring significant updates aimed at enhancing user experience and optimizing outcomes [1][2] User-Centric Development - Since its launch, ORE has provided a diverse range of examples that simplify project development and showcase its powerful capabilities, now categorized by themes such as market risk and product analysis for easier navigation [2] - The new ORE wrapper prototype supports Excel, Python, and Restful API, allowing users to operate in familiar environments and integrate ORE functionalities seamlessly into existing workflows [2] Functionality Enhancements and Extensions - The 13th version of ORE introduces support for mid-term coupon exercises, enhancing the accuracy of valuation and risk metrics for financial instruments [3] - The American Monte Carlo simulation framework has been expanded to include stock trading, and the stress testing module has been optimized to output cash flow data under stress scenarios, providing more detailed analysis [3] Commitment to Accessibility and Innovation - The continuous development of ORE since its inception in 2016 is driven by ongoing dialogue with users, ensuring that feedback is incorporated into software updates [4] - The goal is to make powerful, transparent pricing and risk analysis capabilities accessible to all companies, not just those with the resources to develop or purchase expensive solutions [4] Integration with QuantLib - ORE is built on the open-source quantitative finance library QuantLib, facilitating integration with applications written in Python or Java through its SWIG language binding feature [5]