MARS Presentation on Credit Risk Analytics
Low growth, high inflation, and geopolitical turmoil can obscure market opportunities. Our tools cut through the noise and reveal hidden leverage.
MARS Credit Risk Analytics has robust quantitative risk models that have historically predicted with 92% accuracy, making it an essential asset for sophisticated investors.
Join our expert David Croen as he demonstrates a walkthrough of this tool, from uploading a portfolio to changing the inputs and macroeconomic situations to customize the portfolio's credit risk calculation. In addition, David explains historic cases of companies such as Express and WeWork where our models indicated distress long before the market saw it coming.
Enhance your portfolio construction and exposure to credit risk with this in-depth explanation of how to utilize our MARS credit risk tools.
MARS Credit Risk Analytics has robust quantitative risk models that have historically predicted with 92% accuracy, making it an essential asset for sophisticated investors.
Join our expert David Croen as he demonstrates a walkthrough of this tool, from uploading a portfolio to changing the inputs and macroeconomic situations to customize the portfolio's credit risk calculation. In addition, David explains historic cases of companies such as Express and WeWork where our models indicated distress long before the market saw it coming.
Enhance your portfolio construction and exposure to credit risk with this in-depth explanation of how to utilize our MARS credit risk tools.
Speakers
David Croen
Global Credit Risk Product Manager
Bloomberg
David Croen is head of credit risk products for Bloomberg, L.P., working in the firm’s enterprise product business. Prior to joining Bloomberg, David led risk management and valuation for global banks and asset managers, with specialization in credit and securitization. He contributed to the President’s Working Group on Financial Markets Best Practices for Risk Management (2008), and has advised U.S. regulators and accounting firms on complex structured finance transactions. David earned a B.A. in Applied Mathematics and an MBA in Finance, both from the University of Rochester.