"The book makes an argument that booms and busts are not random and can therefore be identified. It's structured similarly to how the course at Yale by Mansharamani has been taught. The first third of the book focuses upon various theoretical and disciplinary lenses useful in the study of booms and busts. The second third of the book evaluates historical cases of financial booms and busts via those lenses. The final third of the book summarizes the findings from part two and develops a profile for a typical financial bubble. The book concludes with a framework for thinking about and identifying forthcoming financial extremes and a discussion of various candidates for the "next bubble.""--

From the Publisher:
A multi-disciplinary framework through which to spot financial bubbles before they burst.

Based on a popular undergraduate seminar, entitled Financial Booms & Busts, taught by the author at Yale University, "Boombustology" presents a multi-disciplinary framework for identifying unsustainable booms and forthcoming busts.

The magnitude of our recent financial crisis mandates a firm understanding of this phenomenon before the next crisis occurs. "Boombustology" provides an in-depth look at several major booms and busts and offers a solid framework for thinking about future occurrences. Examines why booms and busts are not random and can therefore be identified Focuses upon various theoretical and disciplinary lenses useful in the study of booms and busts Contains a framework for thinking about and identifying forthcoming financial bubbles including several tell-tale indicators of a forthcoming bust. Illustrates the framework in action by evaluating China as a potential bubble in the making.

If you want to make better decisions in today's turbulent investment environment, understanding the dynamics of booms and busts is the best place the start. "Boombustology" can help you achieve this elusive goal.

Vikram Mansharamani is a Lecturer at Yale University and a global equity investor.

Tagged: Business, Economics, Finance