Order Flow Trading For Fun And Profit By Laurent Bernut Jean Philippe Bouchard


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Options Math for Traders, + Website


Options Math for Traders, + Website

Author: Scott Nations

language: en

Publisher: John Wiley & Sons

Release Date: 2012-10-30


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A practical guide to the math behind options and how that knowledge can improve your trading performance No book on options can guarantee success, but if a trader understands and utilizes option math effectively, good things are going to happen. The idea behind Options Math for Traders + Website is to help retail option traders understand some of the basic tenants and enduring relationships of options, and option math, that professional and institutional traders rely on every day. This book skillfully highlights those strategies that are inherently superior from an option math point of view and explains what drives that superiority while also examining why some strategies are inherently inferior. The material is explained without complex equations or technical jargon. The goal is to give you a solid conceptual foundation of options behavior so you can make more informed decisions when choosing an option strategy for your market outlook. Topics covered include the volatility premium, because over time, options will cost more than they are ultimately worth; skew, wherein far out of the money put options may seem cheap from an absolute term, but are very expensive in relative terms; and the acceleration in option price erosion. The book also has a companion Website, which includes links to those sites that can scan for the best strategies discussed in the book. Explains, in a non-technical manner, the mathematical properties of options so that traders can better select the right options strategy for their market outlook Companion Website contains timely tools that allow you to continue to learn in a hands-on fashion long after closing the book Written by top options expert Scott Nations Most independent traders have an imperfect understanding of the math behind options pricing. With Options Math for Traders + Website as your guide, you'll gain valuable lessons in this area and discover how this information can improve your trading performance.

Practical Portfolio Performance Measurement and Attribution


Practical Portfolio Performance Measurement and Attribution

Author: Carl R. Bacon

language: en

Publisher: John Wiley & Sons

Release Date: 2011-02-23


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Performance measurement and attribution are key tools in informing investment decisions and strategies. Performance measurement is the quality control of the investment decision process, enabling money managers to calculate return, understand the behaviour of a portfolio of assets, communicate with clients and determine how performance can be improved. Focusing on the practical use and calculation of performance returns rather than the academic background, Practical Portfolio Performance Measurement and Attribution provides a clear guide to the role and implications of these methods in today's financial environment, enabling readers to apply their knowledge with immediate effect. Fully updated from the first edition, this book covers key new developments such as fixed income attribution, attribution of derivative instruments and alternative investment strategies, leverage and short positions, risk-adjusted performance measures for hedge funds plus updates on presentation standards. The book covers the mathematical aspects of the topic in an accessible and practical way, making this book an essential reference for anyone involved in asset management.

Numerical Methods and Optimization in Finance


Numerical Methods and Optimization in Finance

Author: Manfred Gilli

language: en

Publisher: Academic Press

Release Date: 2019-08-16


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Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems-ranging from asset allocation to risk management and from option pricing to model calibration-can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically. This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance.