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Quantitative value investing
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Quantitative value investing : ウィキペディア英語版
Quantitative value investing

Quantitative value investing,〔(), Wesley R. Gray, Phd. and Tobias E. Carlisle, LLB. ''Quantitative Value: A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors''. Wiley Finance. 2013〕 also known as ''systematic value investing'', is a form of value investing that analyzes fundamental data such as (financial statement line items ), economic data, and unstructured data in a rigorous and systematic manner. Practitioners often employ quantitative applications such as statistical / empirical finance or mathematical finance, behavioral finance,〔http://www.investopedia.com/university/behavioral_finance/〕 natural language processing, and machine learning.
==History of Development==
Quantitative investment analysis can trace its origin back to Security Analysis (book) by Benjamin Graham and David Dodd in which the authors advocated detailed analysis of objective financial metrics of specific stocks. Quantitative investing replaces much of the ad-hoc financial analysis used by human fundamental investment analysts with a systematic framework designed and programmed by a person but largely executed by a computer in order to avoid cognitive biases that lead to inferior investment decisions.〔(), ''The Psychology of Human Misjudgement'' a speech by Charlie Munger〕 In a 1978 interview,〔http://www.bylo.org/bgraham76.html〕 Benjamin Graham admitted that even by that time ad-hoc detailed financial analysis of single stocks was unlikely to produce good risk-adjusted returns. Instead, he advocated a rules-based approach focused on constructing a coherent portfolio based on a relatively limited set of objective fundamental financial factors.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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