2018
DOI: 10.1007/978-3-030-02330-0_4
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What FinTech Can Learn from High-Frequency Trading: Economic Consequences, Open Issues and Future of Corporate Disclosure

Abstract: This chapter provides a review on key literature on High-Frequency Trading (HFT) over an 11-year period. Using a thematic analysis, the main themes developed within this research stream are identified and insights on the evolution of theory in relation to HFT are presented. This analysis highlights that the effects of HFT on market liquidity, trading strategies and speed, implications for market structure changes, and the relationship between the "scriptability" of corporate disclosure and HFT short-term infor… Show more

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Cited by 5 publications
(2 citation statements)
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“…(2016)-is beyond the scope of this section, it is relevant to note the ever-growing role of financial trading automation through algorithms (Monaco 2019), and the new spaces for the understanding of human moral agency in setting and using these algorithms in finance (Rocchi 2019b). Aziz and Dowling, for example, highlight the role of human supervision and intervention at different stages of automated processes, and point out that, "when it comes to AI, where there is some or full automation of process from data gathering to decisionmaking, the need for human oversight will become even more pressing" (Aziz and Dowling 2019: 46).…”
Section: Technological Challenges and Moral Agencymentioning
confidence: 99%
“…(2016)-is beyond the scope of this section, it is relevant to note the ever-growing role of financial trading automation through algorithms (Monaco 2019), and the new spaces for the understanding of human moral agency in setting and using these algorithms in finance (Rocchi 2019b). Aziz and Dowling, for example, highlight the role of human supervision and intervention at different stages of automated processes, and point out that, "when it comes to AI, where there is some or full automation of process from data gathering to decisionmaking, the need for human oversight will become even more pressing" (Aziz and Dowling 2019: 46).…”
Section: Technological Challenges and Moral Agencymentioning
confidence: 99%
“…The system enabled Merrill Lynch to capture 90% of the investment account market within the first year of operation [30]. Other examples include Fuster et al [31] who examined FinTech improving the productivity of mortgage lending, in Monaco [32] high frequency trading and FinTech are discussed and their impact on market structures (such as trading volume and market orders).…”
Section: Related Literature and Motivation Of Studymentioning
confidence: 99%