An accessible guide to effectively operating in the hedge fund arena

Hedge funds are now in the news more than a thousand times a day and yet it is hard to find clear, factual information about how they operate, raise capital, and invest. "The Hedge Fund Book" provides real-world case studies of various hedge fund managers providing a solid foundation in specialized hedge fund knowledge for both financial professionals and those aspiring to enter this field.

It provides an analysis of funds within different phases of their life cycles and investment processes, and examines each cycle in ways that would be informational for marketers as well as investors, bankers, and financial professionals who would like to learn more about day-to-day hedge fund operationsAddresses everything you need to know about this popular segment of the financial industry within a case study formatEach chapter contains several types of investment and situational analyses, insights and best practices along with a review and "test your knowledge section"Written by a successful hedge fund consultant and head of one of the largest hedge fund networking groups in the industry with more than 30,000 membersThis book is required reading for participants within the hedge fund industry's leading designation program, the CHP Designation

If you're looking to gain a better understanding of hedge funds, look no further than "The Hedge Fund Book."

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.