Often unfairly reviled, and frequently misunderstood, private equity differs from all other asset classes in various important respects, not least in the nature and timing of its returns, which require a whole new approach for those reared on more traditional investments such as bonds and shares. This book shows how a good grasp of the basic structure of private equity vehicles and returns (including the dreaded J-curve) can lead to full understanding of the techniques needed to measure and analyse performance.
Key points include:
He has extensive experience of the evaluation of private equity managers, including having personally designed and developed a computer model for the evaluation of buyout performance, but is equally recognised as an authority on venture capital. In addition to his work with fund managers (“GPs”), he has also been involved in direct, secondary and mezzanine transactions over the years, as well as planning and monitoring private equity programmes from the investor (“LP”) perspective.
Guy is a well-known figure on the conference circuit both as a speaker and, increasingly, as a provider of keynote addresses. He has written for private equity publications for many years, and is perhaps best known for his regular monthly column in Real Deals. In addition to various professional qualifications, he has an LLB with honours from King’s College London and an MBA majoring in finance from Warwick Business School.
In recent years, Guy has also become acknowledged as an expert on pension fund investment and asset allocation generally, and he has written for all of Europe’s English language pension publications. His first book, Multi Asset Class Investment Strategy, published as part of the Wiley Finance series last year to what Global Pensions described as “rave reviews from the UK pension industry” has been hailed as a major contribution to modern portfolio theory. It went into the Amazon “Hot 100” six weeks after its launch, and has been featured in newspapers and financial periodicals around the world.