Andrew Pole

eBook, ePUB

Statistical Arbitrage (eBook, ePUB)

Algorithmic Trading Insights and Techniques

Beschreibung

While statistical arbitrage has faced some tough times?as markets experienced dramatic changes in dynamics beginning in 2000?new developments in algorithmic trading have allowed it to rise from the ashes of that fire. Based on the results of author Andrew Pole?s own research and experience running a statistical arbitrage hedge fund for eight years?in partnership with a group whose own history stretches back to the dawn of what was first called pairs trading?this unique guide provides detailed insights into the nuances of a proven investment strategy. Filled with in-depth insights and expert advice, Statistical Arbitrage contains comprehensive analysis that will appeal to both investors looking for an overview of this discipline, as well as quants looking for critical insights into modeling, risk management, and implementation of the strategy.

Technische Details

• Geräte: eReader
• mit Kopierschutz
• Größe: 4.76MB

Barrierefreiheit

• Text-to-Speech

Autor

Andrew Pole is a Managing Director at TIG Advisors, LLC, a registered investment advisor in New York. He specializes in quantitative trading strategies and risk management. This book is the result of his own research and experience running a statistical arbitrage hedge fund for eight years. Pole is also the coauthor of Applied Bayesian Forecasting and Time Series Analysis.

Produktdetails

• Verlag: Wiley-Scrivener
• Seitenzahl: 256
• Erscheinungstermin: 7. Juli 2011
• Englisch
• ISBN-13: 9781118160732
• Artikelnr.: 37337988

Rezensionen

"Over time, anything that creates an edge for a particular group of bettors--including the most astute observers of horse flesh--gets factored into the odds and becomes unreliable as a system. That's the classic argument of random walk theorists, and the equally classic response is that there's a lot of money to be made before that factoring is complete. This book is a contribution to that never-ending debate." (Hedgeworld.com)