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Inside The Black Box The Simple Truth About Quantitative Trading Rishi K Narang Praise for Inside the Black Box "In Inside the Black Box: The Simple Truth About Quantitative Trading , Rishi Narang demystifies quantitative trading. His explanation and classification of alpha will enlighten even a seasoned veteran."

—Blair Hull, Founder, Hull Trading & Matlock Trading "Rishi provides a comprehensive overview of quantitative investing that should prove useful both to those allocating money to quant strategies and those interested in becoming quants themselves. Rishi's experience as a well-respected quant fund of funds manager and his solid relationships with many practitioners provide ample useful material for his work."

—Peter Muller, Head of Process Driven Trading, Morgan Stanley "A very readable book bringing much needed insight into a subject matter that is not often covered. Provides a framework and guidance that should be valuable to both existing investors and those looking to invest in this area for the first time. Many quants should also benefit from reading this book."

—Steve Evans, Managing Director of Quantitative Trading, Tudor Investment Corporation "Without complex formulae, Narang, himself a leading practitioner, provides an insightful taxonomy of systematic trading strategies in liquid instruments and a framework for considering quantitative strategies within a portfolio. This guide enables an investor to cut through the hype and pretense of secrecy surrounding quantitative strategies."

—Ross Garon, Managing Director, Quantitative Strategies, S.A.C. Capital Advisors, L.P. "Inside the Black Box is a comprehensive, yet easy read. Rishi Narang provides a simple framework for understanding quantitative money management and proves that it is not a black box but rather a glass box for those inside."

—Jean-Pierre Aguilar, former founder and CEO, Capital Fund Management "This book is great for anyone who wants to understand quant trading, without digging in to the equations. It explains the subject in intuitive, economic terms."

—Steven Drobny, founder, Drobny Global Asset Management, and author, Inside the House of Money "Rishi Narang does an excellent job demystifying how quants work, in an accessible and fun read. This book should occupy a key spot on anyone's bookshelf who is interested in understanding how this ever increasing part of the investment universe actually operates." —Matthew S. Rothman, PhD, Global Head of Quantitative Equity Strategies Barclays Capital "Inside the Black Box provides a comprehensive and intuitive introduction to "quant" strategies. It succinctly explains the building blocks of such strategies and how they fit together, while conveying the myriad possibilities and design details it takes to build a successful model driven investment strategy."

—Asriel Levin, PhD, Managing Member, Menta Capital, LLC

里什•纳兰

华尔街顶级数量金融投资专家、资深对冲基金经理

作者纳兰1996年进入对冲基金行业，一直关注量化交易策略。现为特勒西斯资本有限责任公司（Telesis Capital LLC）的主要合伙人，这家公司主要采用量化交易策略进行投资。此前，他是圣巴巴拉阿尔法策略投资公司的基金经理。纳兰还曾与他人合作创立了Tradeworx 公司并担任总裁，这家公司在1999～2002年管理着数只量化对冲基金。

part one - the quant universe
1 why does quant trading matter
the benefit of deep thought
the measurement and mis-measurement of risk
disciplined implementation
2 an introduction to quant trading
what is a quant
what is the typical structure of quantitative trading system
part two - inside the black box
3 alpha models - how quants make money
types of alpha models: theory driven and data driven
theory-driven alpha models
data-driven alpha models
implementing the strategies
blending alpha models
4 risk models 风险模型
5 transaction construction models 交易构建模型
6 portfolio construction models 投资组合构建模型
7 execution
8 data
9 research
part three - a practical guide for investors in quantitive strategies
10 risk inherent to quant strategies
model risk
regime change risk
exogenous shock risk
contagion, or common investor, risk
how quants monitor risk
11 criticism of quant trading - setting the record straight
trading is an art, not a science
quants cause more market volatility by underestimating risk
quants cannot handle unusual events or rapid changes in market conditions
quants are all the same
only a few large quants can thrive in the long run
quants are guilty of data mining
12 evaluating quants and quant strategies
13 looking to the future of quant-trading
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