Bøger af Ralph Vince

Every day, billions of human beings are making dozens of decisions that do not appear based on the same, seemingly sound mathematical principles they would apply to a gambling or investing situation. Yet these decisions are not irrational, rather they are the product of an innate sense pertaining to risk and opportunity with respect to the exigency of ever-present time.For decades various mathematical notions have presented themselves which, though applicable to domains such as probability, game theory, operations research, and quantitative finance, have fallen essentially outside the purview of these various disciplines. Yet the concepts detailed in this text are all related, and taken together comprise their own niche-discipline, introduced here as Risk-Opportunity Analysis.

Explores two mathematical tools essential for competing in frenzied commodities markets: quantity, which shows the proper amounts a trader should trade for a given market and system, and intercorrelation of returns that shows which markets and systems to trade and how to diversify with respect to trading the right quantities for each market.

THE NEW MONEY MANAGEMENT In his bestselling Portfolio Management Formulas and The Mathematics of Money Management, Ralph Vince brought the complex mathematics of probability and modern portfolio management theory down to earth for traders and investors.

An innovative approach to trading by an expert in the field In The Leverage Space Trading Model, quantitative portfolio analysis expert Ralph Vince takes the Leverage Space Model he presented in The Handbook of Portfolio Mathematics and brings it into entirely new territory.

The Handbook of Portfolio Mathematics "For the serious investor, trader, or money manager, this book takes a rewarding look into modern portfolio theory. Vince introduces a leverage--space portfolio model, tweaks it for the drawdown probability, and delivers a superior model.

Every futures, options, and stock markets trader operates under a set of highly suspect rules and assumptions.