• Title/Summary/Keyword: 시세조종

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Legal liability of the management firm on hacked Robo-Advisor's stock price manipulation (해킹에 따른 로보어드바이저의 시세조종 행위와 운용사의 법적 책임)

  • Kim, Dong Ju;Kwon, Hun Yeong;Lim, Jong In
    • Journal of the Korea Convergence Society
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    • v.8 no.9
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    • pp.41-47
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    • 2017
  • This study is a preceding research designed to deduct an institutional supplementary measure that minimizes any inevitable side effects from the improvement of artificial intelligence (AI) technology, which is the core element of the Fourth Industrial Revolution. In this specific case in which the Robo-Advisor, the representative type of AI-applied technology, was hacked by a third party and ended up manipulating prices, the study was intended to examine the responsibility relationship of the current legal framework. Although the current legal framework strictly prohibits acts such as hacking and manipulation, it was confirmed that if the Robo-Advisor management firm acts in compliance with protection measures regarding hacking, the firm is free from any legal liabilities and there is insufficient legal protection available for ordinary investors with grand-scale damage from price manipulation Based on this study, further studies are needed to derive more institutional supplementary measures on overcoming these problems.

Detection of Stock Price Manipulation : A Data Mining Approach (데이터마이닝기법을 이용한 주식시장의 이상매매 적출)

  • Hong, Chung-Hun;Ahn, Sung Mahn;Wee, Kyung Woo
    • Journal of Intelligence and Information Systems
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    • v.12 no.4
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    • pp.15-37
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    • 2006
  • In this paper, we discuss a data mining approach to detection of stock price manipulation in the Korean stock market. First of all, we review current methods which is being exercised in the Korean stock market as well as in the US stock market. And then we apply data mining techniques to the problem using data from the Korean stock market and discuss the results along with their implications.

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