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Appl. Sci. 2018, 8(5), 751; https://doi.org/10.3390/app8050751

Current Market Top Business Scopes Trend—A Concurrent Text and Time Series Active Learning Study of NASDAQ and NYSE Stocks from 2012 to 2017

1
School of Software, Beihang University, Xueyuan Road, Haidian District, No. 35 Northern Shining Tower, 10th Floor, Room 1003, Beijing 100083, China
2
Department of Computer Engineering, University of California, Santa Cruz, 501D Engineering II Building, 1156 High Street, CA 95064, USA
*
Author to whom correspondence should be addressed.
Received: 22 March 2018 / Revised: 7 May 2018 / Accepted: 7 May 2018 / Published: 9 May 2018
(This article belongs to the Section Computer Science and Electrical Engineering)
View Full-Text   |   Download PDF [562 KB, uploaded 9 May 2018]   |  

Abstract

As information technologies evolve, it has become necessary to examine the changes which have taken place in the top business scopes for both investors and entrepreneurs. To provide an understanding for the trends of the top business scopes in the current market, this article conducts a concurrent text and time series methodology to analyze the stocks in the New York Stock Exchange (NYSE) and the National Association of Securities Dealers Automated Quotations (NASDAQ) from 2012 to 2017. There is evidence that artificial intelligence and blockchains gained increasing importance for companies during that period. The authors contend that their findings in this paper question the status quo of promising business scopes for companies in the U.S. market. View Full-Text
Keywords: stock market; business scope; dynamic time warping; stock data; active learning stock market; business scope; dynamic time warping; stock data; active learning
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Du, X.; Deng, L.; Qian, K. Current Market Top Business Scopes Trend—A Concurrent Text and Time Series Active Learning Study of NASDAQ and NYSE Stocks from 2012 to 2017. Appl. Sci. 2018, 8, 751.

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