{"id":3793,"date":"2016-03-09T08:41:44","date_gmt":"2016-03-09T13:41:44","guid":{"rendered":"https:\/\/www.bloomberg.com\/company\/press\/bloomberg-delivers-first-quantitative-model-for-calculating-liquidity-risk\/"},"modified":"2016-03-09T08:41:44","modified_gmt":"2016-03-09T13:41:44","slug":"bloomberg-delivers-first-quantitative-model-for-calculating-liquidity-risk","status":"publish","type":"press","link":"https:\/\/www.bloomberg.com\/company\/press\/bloomberg-delivers-first-quantitative-model-for-calculating-liquidity-risk\/","title":{"rendered":"Bloomberg Delivers First Quantitative Model For Calculating Liquidity Risk"},"content":{"rendered":"
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Bloomberg’s Liquidity Assessment Tool (LQA) pioneers the use of machine learning to estimate liquidity risk as global regulators oblige institutional investors to factor liquidity into risk and pricing models<\/p>\n\n<\/div>\n\n\n<\/div>\n\n\n\t\t\n\t<\/div>\n<\/div>\n

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\"Bloomberg<\/a><\/p>\n

Today, Bloomberg announced its Liquidity Assessment Tool<\/a>, or LQA, which gives institutional investors a quantitative approach to calculating liquidity risk consistently across asset classes. It is the first liquidity estimation tool to combine Bloomberg’s rich financial data and machine learning techniques to calculate the multitude of relevant factors influencing liquidity.<\/p>\n

Bloomberg LQA provides risk managers, portfolio managers, traders, and compliance officers with a standard definition of liquidity and a consistent approach to measuring the expected cost of liquidation for a specific volume of securities, and a desired time horizon. It also provides a score designed to indicate security-level liquidity with respect to liquidation cost and its distributions across different volumes.<\/p>\n

Emerging from the financial crisis, regulators across the globe continue to scrutinize the quality and comprehensiveness of existing risk assessment processes and propose new standards for liquidity management on buy-and sell-side institutions. Establishing a systematic approach to measuring and reporting liquidity risk demonstrates a firm’s commitment to robust risk management practices, comprehensive pre-and-post trade analysis and efficient regulatory reporting that meet new industry standards.<\/p>\n

\u201cAssessing liquidity risk is an essential business process for both buy-side and sell-side institutions because they need to assess the cost of capital for any asset they want to hold in their portfolio or on their balance sheet,\u201d said Ilaria Vigano, Head of the Regulatory and Accounting Products group at Bloomberg. \u201cBloomberg LQA provides a consistent data-driven approach to measuring liquidity that helps our clients make more informed investment decisions, as well as simplify their regulatory reporting and risk management processes.\u201d<\/p>\n

Bloomberg Professional service subscribers can access Bloomberg LQA data for more than 130,000 global government and corporate securities. The same data can also be provided for enterprise use, which allows clients to override Bloomberg’s default inputs with their own assumptions so the model considers their unique perspective on the market.<\/p>\n

While Bloomberg LQA covers government and corporate securities today, the methodology that underpins the tool can be applied consistently across asset classes, to assess liquidity risk at the portfolio-level.<\/p>\n

Machine Learning Powers Bloomberg LQA’s Data-Driven Approach<\/strong><\/p>\n

Data availability and quality is critical for quantitative models to provide insightful estimates. This is a challenge in less transparent markets, such as fixed income, where there is limited or less reliable data available.<\/p>\n

To overcome this challenge, Bloomberg assembled a multidisciplinary team of experts to consider all of the complexities associated with liquidity risk analysis. Bloomberg LQA uses machine learning techniques, such as cluster analysis, to dynamically identify and leverage transaction data for comparable securities.<\/p>\n

The application of machine learning enables Bloomberg LQA to transcend the inherent limitations of the widely used bid\/ask approach to measure liquidity risk, which can overlook important variables. By leveraging a larger set of factors, Bloomberg LQA can better assess liquidity across instruments and across time.<\/p>\n

Bloomberg LQA<\/a> is part of Bloomberg\u2019s Regulatory and Accounting Products<\/a> suite, which helps senior compliance officers at banks, asset managers, insurers and other financial organizations navigate an increasingly complex regulatory and accounting compliance environment.\u00a0 To learn more about the Bloomberg LQA tool and methodology, please visit: www.bloomberg.com\/enterprise\/content-data\/regulatory-data\/<\/p>\n

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About Bloomberg<\/strong><\/p>\n

Bloomberg, the global business and financial information and news leader, gives influential decision makers a critical edge by connecting them to a dynamic network of information, people and ideas. The company\u2019s strength \u2013 delivering data, news and analytics through innovative technology, quickly and accurately \u2013 is at the core of the Bloomberg Professional<\/a> service, which provides real time financial information to more than 327,000 subscribers globally. For more information, visit https:\/\/www.bloomberg.com\/company\/<\/a> or request a demo<\/a>.<\/p>\n

The Bloomberg Professional service is owned and distributed by Bloomberg Finance L.P. and its affiliates.
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