Insights into UK investment firms’ efforts to comply with MiFID II RTS 6 that governs the conduct of algorithmic trading

Author:

Culley Alexander Conrad

Abstract

Purpose The purpose of this paper is to examine the effectiveness of UK investment firms’ implementation of the requirements in Commission Delegated Regulation 2017/589 (more commonly known as “Regulatory Technical Standard 6” or “RTS 6”) that govern the conduct of algorithmic trading activities. Design/methodology/approach A qualitative examination of 19 semi-structured interviews with practitioners working for, or with, UK investment firms engaged in algorithmic trading activities. Findings The paper finds that practitioners generally have a good understanding of the requirements in RTS 6. Some lack knowledge of algorithms, coding and algorithmic strategies but have used best efforts to implement RTS 6. However, regulatory fatigue, complacency, cost pressures, governance in international groups, overreliance on external knowledge and generous risk parameter calibration threaten to undermine these efforts. Research limitations/implications The study’s findings are limited to the participants’ insights. Some areas of the RTS 6 regime attracted little comment from participants. Practical implications The paper proposes the introduction of mandatory algorithmic trading qualification requirements for key staff; the lessening of the requirements in RTS 6 for automated executors; and the introduction of a recognised software vendor regime to reduce duplication and improve coordination between market participants that deploy algorithmic trading systems. Originality/value To the best of the author’s knowledge, the study represents the first qualitative examination of firms’ implementation of the algorithmic trading regime in the second Markets in Financial Instruments Directive 2014/65/EU.

Publisher

Emerald

Subject

Strategy and Management

Reference32 articles.

1. Financial Services and Markets Bill (2023), available at: https://bills.parliament.uk/bills/3326 (accessed 16 April 2023).

2. From RegTech to TechReg – regulation in a decentralized world,2019

3. AI trading and the limits of EU law enforcement in deterring market manipulation;Computer Law and Security Review,2022

4. The algorithmic future of EU market conduct supervision: a preliminary check,2023

5. Machine learning, market manipulation and collusion on capital markets: why the ‘black box’ matters,2021

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