Moody's Analytics

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DEFINITION of 'Moody's Analytics '

A subsidiary of Moody's Corporation that offers tools, solutions and best practices for risk measurement and mitigation through its experience in economic research, credit analysis and financial risk management. Moody's Analytics enables its clients to understand the complexities of modern-day business and capitalize on market developments across industries around the world.

BREAKING DOWN 'Moody's Analytics '

Moody's Analytics' areas of expertise include credit research; risk management; structured analytics; valuation; enterprise risk management; and economic and consumer credit analytics. The company delivers its products and services through a number of platforms - briefings and teleconferences with its analysts, web-based research, software tools and data services.

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RELATED FAQS
  1. What are the benefits of credit ratings?

    Credit ratings are an important tool for borrowers to gain access to loans and debt. Good credit ratings allow borrowers ... Read Full Answer >>
  2. How do companies like Moody's rate bonds?

    Rating the creditworthiness of a bond issuer, despite the number crunching, is as much an art form as it is a science. While ... Read Full Answer >>
  3. How can I use the funds from operations to total debt ratio to assess risk?

    The funds from operations (FFO) to total debt ratio is used in fundamental analysis to determine a company's financial risk. ... Read Full Answer >>
  4. How stable are municipal bonds?

    Stability is relative in the municipal bond market. Municipal bonds tend to be safer than many other types of investments, ... Read Full Answer >>
  5. Where can I find information about corporate bond issues?

    Information about new and existing corporate bond issues is published regularly in financial newspapers, such as The Wall ... Read Full Answer >>
  6. Why are high yield bonds typically lower rated bonds?

    The term "high-yield bond" is a bit of a misnomer. It is not the case that high-yield bonds tend to be lower-rated; instead, ... Read Full Answer >>

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