Literature DB >> 23138232

Ethics, finance, and automation: a preliminary survey of problems in high frequency trading.

Michael Davis1, Andrew Kumiega, Ben Van Vliet.   

Abstract

All of finance is now automated, most notably high frequency trading. This paper examines the ethical implications of this fact. As automation is an interdisciplinary endeavor, we argue that the interfaces between the respective disciplines can lead to conflicting ethical perspectives; we also argue that existing disciplinary standards do not pay enough attention to the ethical problems automation generates. Conflicting perspectives undermine the protection those who rely on trading should have. Ethics in finance can be expanded to include organizational and industry-wide responsibilities to external market participants and society. As a starting point, quality management techniques can provide a foundation for a new cross-disciplinary ethical standard in the age of automation.

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Year:  2012        PMID: 23138232     DOI: 10.1007/s11948-012-9412-5

Source DB:  PubMed          Journal:  Sci Eng Ethics        ISSN: 1353-3452            Impact factor:   3.525


  2 in total

1.  The psychophysiology of real-time financial risk processing.

Authors:  Andrew W Lo; Dmitry V Repin
Journal:  J Cogn Neurosci       Date:  2002-04-01       Impact factor: 3.225

2.  Software Engineering Code of Ethics and Professional Practice.

Authors: 
Journal:  Sci Eng Ethics       Date:  2001-04       Impact factor: 3.525

  2 in total
  2 in total

1.  Modeling Automation With Cognitive Work Analysis to Support Human-Automation Coordination.

Authors:  Yeti Li; Catherine M Burns
Journal:  J Cogn Eng Decis Mak       Date:  2017-05-22

2.  AI ethics and systemic risks in finance.

Authors:  Ekaterina Svetlova
Journal:  AI Ethics       Date:  2022-01-13
  2 in total

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