I-Corps: Scalable Knowledge Management for Risk Analysis in Finance

I-Corps：用于金融风险分析的可扩展知识管理

• 批准号: 1620023
• 负责人: Praveen Rao
• 金额: $ 5万
• 依托单位: University of Missouri-Kansas City
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-15 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1620023&HistoricalAwards=false
• 关键词: Corps; Scalable; Knowledge; Management; Risk

The proposed project aims to explore the commercialization potential of an innovative software, which was developed through NSF-funded research, for risk analysis in finance. A financial institution, such as a bank makes investments in different (possibly risky) financial markets, which can either yield a huge profit or lead to a major loss. Thus, effective financial risk analysis underpins the stability of a financial institution. The credit crisis of 2008 exposed the huge risk undertaken by banks in the mortgage-backed securities market with the assumption that the housing prices will not drop. Subsequently, the Dodd-Frank Wall Street Reform and Consumer Protection Act was signed into federal law in 2010. Since then, there has been a pressing need in the financial industry for a solution to seamlessly integrate data repositories of financial instruments such as deposits, loans, securities, and derivatives. Through such a seamless integration, a financial institution will be able to conduct a more rigorous analysis of the financial risks than ever before. Towards this end, the Enterprise Data Management (EDM) Council in collaboration with financial industry partners is developing a new standard for knowledge representation and data integration. This standard is being designed to enable easy integration of multiple data repositories of financial instruments. This project's software, which is designed for scalable knowledge management, can operate on very large knowledge repositories and provide answers to end-users very quickly. As a result, it can potentially enable rapid risk analysis in a fast-paced, volatile financial market. Therefore, its commercial viability can be potentially transformative in the niche market of financial knowledge management and risk analysis. The anticipated customers of the proposed software are financial risk analysts hired by financial institutions (e.g., banks, trading companies) to assess credit, market, operational, and regulatory risks.The technical goal of the project is to investigate how this project's software, called RIQ, can advance the state-of-the-art in financial knowledge management and risk analysis. RIQ's capability will be extended and its commercialization potential will be explored through the I-Corps Teams program. RIQ has the potential to enable rapid risk analysis through its fast query processing capability. This in turn can enable the customers/end-users to make fast and effective decisions in a dynamic financial market. Through this project, RIQ will be extended to showcase the processing of risk analysis use cases on financial datasets for the final demonstration. RIQ will be offered to potential customers via the Software-as-a-Service model, which is attractive for financial institutions as there is no upfront investment. The I-Corps team will connect with potential customers and stakeholders such as risk analysts, application developers, IT managers, and C-level executives in financial institutions. This project has the potential to advance our understanding of how deep analysis via semantic data representation and integration can unravel risks in the financial markets, which would not have been discovered through conventional risk management software. If RIQ is commercially viable, this project will lead to the creation of a tech startup, which will lead to new jobs and foster economic development in Missouri. RIQ will be provided at no cost to academic users to enhance the infrastructure for education and training, especially for those interested in knowledge management and data analytics in finance.

拟议的项目旨在探索创新软件的商业化潜力，该软件是通过国家科学基金资助的研究开发的，用于金融风险分析。金融机构，如银行，在不同的（可能有风险的）金融市场进行投资，这可能会产生巨大的利润或导致重大损失。因此，有效的金融风险分析是金融机构稳定的基础。2008年的信贷危机暴露了银行在假设房价不会下跌的情况下在抵押贷款支持证券市场上承担的巨大风险。随后，《多德-弗兰克华尔街改革和消费者保护法》于2010年签署成为联邦法律。从那时起，金融行业就迫切需要一种解决方案来无缝集成存款、贷款、证券和衍生品等金融工具的数据存储库。通过这种无缝集成，金融机构将能够对金融风险进行比以往任何时候都更严格的分析。为此，企业数据管理（EDM）理事会与金融业合作伙伴合作，正在开发一个新的知识表示和数据集成标准。该标准旨在实现金融工具的多个数据存储库的轻松集成。该项目的软件是为可扩展的知识管理而设计的，可以在非常大的知识库上运行，并非常迅速地向最终用户提供答案。因此，它可以在快节奏，波动的金融市场中进行快速风险分析。因此，它的商业可行性在金融知识管理和风险分析的利基市场上可能具有变革性。所提出的软件的预期客户是金融机构雇用的金融风险分析师（例如，银行、贸易公司）来评估信贷、市场、运营和监管风险。该项目的技术目标是调查该项目的软件（称为RIQ）如何推进金融知识管理和风险分析的最新水平。RIQ的能力将得到扩展，其商业化潜力将通过I-Corps Teams计划进行探索。RIQ具有通过其快速查询处理能力实现快速风险分析的潜力。这反过来又可以使客户/最终用户在动态的金融市场中做出快速有效的决策。通过该项目，RIQ将扩展到展示金融数据集上的风险分析用例的处理，以进行最终演示。RIQ将通过软件即服务模式提供给潜在客户，这对金融机构来说很有吸引力，因为没有前期投资。I-Corps团队将与潜在客户和利益相关者建立联系，如风险分析师、应用程序开发人员、IT经理和金融机构的C级高管。该项目有可能促进我们对通过语义数据表示和集成进行深入分析如何揭示金融市场风险的理解，而这些风险是通过传统的风险管理软件无法发现的。如果RIQ在商业上是可行的，这个项目将导致创建一个技术创业公司，这将导致新的就业机会和促进密苏里州的经济发展。RIQ将免费提供给学术用户，以加强教育和培训的基础设施，特别是对金融知识管理和数据分析感兴趣的用户。