NIST Advanced Manufacturing Series 200-5

Investment Analysis Methods

A practitioner’s guide to understanding the basic principles for investment decisions in manufacturing

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Douglas S. Thomas

This publication is available free of charge from:

https://doi.org/10.6028/NIST.AMS.200-5

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European Coal and Steel Community

EUROPEAN COMMISSION

Investment in the Community coal and steel industries

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REPORT ON THE 2001 SURVEY

Situation at 1 January 2001

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European Coal and Steel Community

EUROPEAN COMMISSION

Investment in the Community steel industries

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REPORT ON THE 2003 SURVEY

Situation at 1 January 2003

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4 July 2018

Nineteenth Report on G20 Investment Measures1

When the global financial crisis broke out in 2008, G20 Leaders committed to resisting protectionism

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in all its forms at their 2008 Summit in Washington. At their subsequent summits in London,

Pittsburgh, Toronto, Seoul, Cannes, Los Cabos, St Petersburg, Brisbane, Antalya, Hangzhou and Hamburg, they reaffirmed this pledge and called on WTO, OECD, and UNCTAD to monitor and publicly report on their trade and investment policy measures.

The present document is the nineteenth report on investment and investment-related measures made in response to this call.2 It has been prepared jointly by the OECD and UNCTAD Secretariats and covers investment policy and investment-related measures taken between 16 October 2017 and 15 May 2018.

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MSCI CHINA INDEX (USD)

Supplementary Information

Diversication versus specialization in complex ecosystems

Riccardo Di Clemente1;2,

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Guido L. Chiarotti1, Matthieu Cristelli1, Andrea

Tacchella1;3, & Luciano Pietronero1;3;4

1Istituto dei Sistemi complessi ISC-CNR UOS Sapienza, Piazzale A. Moro 5, Roma Italy

2IMT Institute for Advanced Studies Lucca, Piazza S. Ponziano 6, Lucca, Italy

3Sapienza, Universita di Roma, Piazzale A. Moro 5 Roma Italy.

4London Institute for Mathematical Sciences, 35a South St, Mayfair London United Kingdom.

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SECTOR / INDUSTRY BUSINESS CLASSIFICATION STUDY

ABSTRACT. This paper describes the various ways in which many major market data

providers and federal agencies categorize and classify companies around the world. This

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paper will be used to analyze the disparities between their methodologies to create a

standard for the GLX.com Capital Market Network.

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Article

Open Source Fundamental Industry Classification

Zura Kakushadze 1,2,*,† and Willie Yu 3

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1 Quantigic® Solutions LLC, 1127 High Ridge Road, #135, Stamford, CT 06905, USA

2 Business School & School of Physics, Free University of Tbilisi, 240 David Agmashenebeli Alley, Tbilisi

0159, Georgia

3 Centre for Computational Biology, Duke-NUS Medical School, 8 College Road, Singapore 169857,

Singapore; willie.yu@duke-nus.edu.sg

* Correspondence: zura@quantigic.com

† Disclaimer: This address is used by the corresponding author for no purpose other than to indicate his

professional affiliation as is customary in publications. In particular, the contents of this paper are not

intended as an investment, legal, tax or any other such advice, and in no way represent views of Quantigic®

Solutions LLC, the website www.quantigic.com or any of their other affiliates.

Academic Editor: Jamal Jokar Arsanjani

Received: 1 May 2017; Accepted: 14 June 2017; Published: 17 June 2017

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