Webinar

USA: 2021 Probabilities of Default Using Market Implied Data

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While traditional credit ratings significantly influence an issuer's perceived credit worthiness, rating downgrades and defaults rarely come as a surprise to the market. Market participants, especially those focused on specific issuers, are usually aware of potential credit issues weeks/months before a major rating downgrade or default. Quantifying this market sentiment through observable trades and quotes provides a powerful early warning indicator especially when market conditions are rapidly changing due to issuer-specific news, or market-wide events like COVID-19.

Join Bloomberg as we discuss MIPD solution to enhance your issuer valuation, to capture early signals of credit events, or to include an indicator within your risk and investment strategies.

Speakers

Hugo Rodriguez Bautista

Global Product Manager, Risk and Investment Analytics

Bloomberg L.P.

Hugo Rodriguez Bautista is a Global Product Risk Manager for the Risk and Investments analytics group. In his role he’s responsible for creating solutions to help financial institutions take more educated decisions when investing and to better manage the risks associated with it. Hugo assists in ensuring proper capture of daily market movements and converting into data driven solutions. Prior joining Bloomberg, Hugo directed large scale engagements by implementing quantitative risk management frameworks, providing risk strategy in capital markets, and implementing trading systems, securities and derivatives in US, Europe and Latam.

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