Expert Trading Systems
Modeling Financial Markets with Kernel Regression
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Beschreibung
Expert Trading Systems Investors and traders have long relied upon mathematical models to forecast changes in stock prices and market volatility. Until recently, two distinct approaches to modeling have dominated the field: technical analysis, which focuses on patterns in price data, and fundamental analysis, which considers a broad range of economic variables. Now, however, thanks to the dramatic increase in low-cost computing power, powerful new methods have emerged known as multidimensional nonlinear computer modeling. This book focuses on one of the most important of these new methods, kernel regression, a nonlinear, nonparametric modeling technique that is capable of handling massive amounts of widely diverse data and generating predictions with all the speed and accuracy of the most sophisticated neural networks, using a mere fraction of the computing power. Written by mathematician and computerized trading systems pioneer John Wolberg, Expert Trading Systems is a practical introduction to kernel regression modeling for traders and investors without a background in advanced statistics or applied mathematics. Dr. Wolberg clearly and systematically explains the basic principles of time series forecasting and kernel regression modeling. He then provides step-by-step guidance on how to design, develop, test, and measure the reliability of cutting-edge kernel regression computerized trading systems for trading all financial markets, including the stock, bond, option, futures, and derivative markets. In addition, Dr. Wolberg describes methods for combining kernel regression with neural networks to further enhance the speed and accuracy of a trading program. And he explores various risk management methods, such as combining models to enhance the reward-to-risk ratio. The first practical guide to one of today's most powerful new price and volatility modeling techniques, Expert Trading Systems is a valuable working resource for traders and investors.
Mittlerweile gibt es eine regelrechte Flut von Computerprogrammen, mit deren Hilfe man die Richtung der Marktentwicklung vorhersagen kann. Deshalb greifen immer mehr professionelle Händler und versierte Privatanleger zu mathematischen Modellen, um Prognosesysteme zu entwickeln. Die Kernel Regression ist eine beliebte Technik zur Erstellung von Datenmodellen, die rasch zu brauchbaren Ergebnissen führt. Dieses Buch führt Sie ein in die Methodik zur Erstellung von Datenmodellen, die für die Entwicklung von Handelssystemen wichtig sind. Darüber hinaus wird detailliert erläutert, wie man die Bedeutung der erzielten Ergebnisse bestimmt und bewertet.
Autor*in
John R. Wolberg
Themen in »Expert Trading Systems«
Börsenhandel Expertensystem Finance & Investments Finanz- u. Anlagewesen Kapitalmarkt Regressionsanalyse Trading