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Основной контент книги Trading Risk. Enhanced Profitability through Risk Control
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Volume 274 pages

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Trading Risk. Enhanced Profitability through Risk Control

Read only on LitRes

The book cannot be downloaded as a file, but can be read in our app or online on the website.

$108

About the book

Revolutionary techniques that traders can implement to improve profits and avoid losses No trader, professional or individual, can afford not to have a solid risk management program integrated into his or her trading system. But finding a precise mathematical model to replace subjective decision-making processes is a challenge. Traditionally, risk management has focused solely on loss avoidance, but in Trading Risk, hedge fund risk manager Kenneth Grant presents some-thing completely new—how to manage a portfolio to minimize risk and increase profits by putting more capital at risk. Trading Risk details a risk management program that can help both money managers and individual traders evaluate which elements in a portfolio are working efficiently and which aren’t. By illustrating an extremely simple set of statistical and arithmetic tools this book can help readers enhance their performance in many financial markets. Kenneth L.Grant is Cheyne’s Global Risk Manager, and is the Managing Member for Cheyne Capital, LLC, the firm’s U.S. arm. Mr. Grant is a pioneer in the field of hedge fund risk management and capital allocation. Before joining Cheyne, he created risk control programs at two of the world’s leading hedge funds, Tudor Investments and SAC Capital, where he was eventually promoted to the title of Chief Investment Strategist. Mr. Grant holds a Bachelor of Science in Economics and Mathematics from the University of Wisconsin, an MA in Economics from Columbia University, and an MBA from the University of Chicago Graduate School of Business.

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Age restriction:
0+
Release date on Litres:
19 February 2018
Volume:
274 p.
ISBN:
9780471691563
Total size:
1.3 МБ
Total number of pages:
274
Copyright holder:
John Wiley & Sons Limited
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