Inside the Black Boxtxt,chm,pdf,epub,mobi下载 作者:Rishi K. Narang 出版社: Wiley 副标题: The Simple Truth About Quantitative Trading 出版年: 2009-9 页数: 224 定价: USD 49.95 装帧: Hardcover ISBN: 9780470432068 内容简介 · · · · · ·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 Tra... 作者简介 · · · · · ·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。 目录 · · · · · ·part one - the quant universe1 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 · · · · · ·() 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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