The Leverage Space Trading Model : Reconciling Portfolio Management Strategies and Economic Theory (Wiley Trading)

The cornerstone of money management and portfolio optimization techniques has remained the same throughout history: maximize gains and minimize risk. Yet, asserts Ralph Vince, the widely accepted approaches of combining assets into a portfolio and determining their relative quantities are wrong—and will cost you. They illuminate nothing, he says, aside from providing the illusion of safety through diversification. Although numerous Nobel Prizes have been awarded based on some of those widely accepted principles, their popular acceptance does not constitute real-world validation. What has been needed is a viable alternative to directly address these real-world dictates. In The Leverage Space Trading Model, Vince offers a groundbreaking contribution to the literature that builds on a lifetime of expert analysis to deliver not only a superior new portfolio model, but takes the entire discipline of portfolio management to a new level. In this book, Vince—who has made many important intellectual contributions to the field for over two decades—departs radically from informed orthodoxy to present an entirely new approach to portfolio management. At its core, The Leverage Space Trading Model basically tells how resources should be combined to maximize safety and profitability given the dictates of the real world. But, as the author points out, given the complex and seemingly pathological character of human desires, we are presented with a fascinating puzzle. Research has found that human beings do not primarily want to maximize gains—our psychological makeup is such that we instead tend to possess seemingly more complex desires. If the models don't work, if we are ultimately unable to satisfy our more complex desires, what's the alternative? As Vince shows, the answer is to utilize the Leverage Space Model as a "framework" to achieve the specific ends a trader or portfolio manager seeks. The author's new allocation paradigm avoids the troubles that come with mean variance m