Publications

Data Analytics for Corporate Debt Markets

Type
Link
Cost
Paid
Published
2014
Full Name
Data Analytics for Corporate Debt Markets: Using Data for Investing, Trading, Capital Markets, and Portfolio Management

Data Analytics for Corporate Debt Markets introduces the most valuable data analytics tools, methods, and applications for today's corporate debt market. It shows how data analytics can help you target credit work, compare markets, choose investments, assess portfolios, and optimize your positioning in the markets. This book is perfect for all corporate debt portfolio managers, traders, analysts, marketers, investment bankers, and others who work with structured financial products.

Use indexes to compare markets and attribute portfolio performance

Understand the strengths and limits of corporate debt indexes and how not to use them


Master a top-down macro approach to corporate debt data analytics

Examine performance and relative value at market level and then drill down to key subsectors


Identify potential investments that fit your macro themes

Successfully apply data analytics in credit selection and learn some common pitfalls to avoid


Effectively analyze technical supply and demand trends

Use data analytics to optimize your timing and weighting decisions