Data Analytics for Corporate Debt Markets: Using Data for Investing, Trading, Capital Markets, and Portfolio Management (FT Press Analytics)
Data Analytics for Corporate Debt Markets: Using Data for Investing, Trading, Capital Markets, and Portfolio Management (FT Press Analytics)

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Use state-of-the-art data analytics to optimize your evaluation and selection of corporate debt investments. Data Analytics for Corporate Debt Markets introduces the most valuable data analytics tools, methods, and applications for today's corporate debt market. Robert Kricheff shows how data analytics can improve and accelerate the process of proper investment selection, and guides market participants in focusing their credit work. Kricheff demonstrates how to use analytics to position yourself for the future; to assess how your current portfolio or trading desk is currently positioned relative to the marketplace; and to pinpoint which part of your holdings impacted past performance. He outlines how analytics can be used to compare markets, develop investment themes, and select debt issues that fit (or do not fit) those themes. He also demonstrates how investors seek to analyze short term supply and demand, and covers some special parts of the market that utilize analytics. For all corporate debt portfolio managers, traders, analysts, marketers, investment bankers, and others who work with structured financial products.

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  • Released: November 16, 2020
  • Author: Robert S. Kricheff
  • Rating: 2,6
  • Publisher: Ebook DIgital Agency
  • Total Page: 640 pages
  • File Size: 3670 KB
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