{"title":"Does the deployment of algorithms combined with direct electronic access increase conduct risk? Evidence from the LME","authors":"Alexander Conrad Culley","doi":"10.1108/jfrc-04-2022-0046","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe purpose of this paper is to examine the effectiveness of two regulatory initiatives in developing awareness of conduct risk associated with algorithmic and direct-electronic access (DEA) trading at broker-dealers: the UK Financial Conduct Authority’s algorithmic trading compliance in the wholesale markets and Commission Delegated Regulation 2017/589 (CDR 589) to the second Markets in Financial Instruments Directive.\n\n\nDesign/methodology/approach\nA qualitative examination of 15 semi-structured interviews with representatives of London Metal Exchange member firms, their clients and regulators.\n\n\nFindings\nThis paper finds that the key conduct related messages in algorithmic trading compliance in the wholesale markets may not yet be fully embedded at broker–dealers. This is because of a perceived simplicity of the algorithms deployed by broker dealers or, alternatively, a lack of reflection on their impact. Conversely, a concern exists that clients’ deployment of algorithms on DEA channels provided by broker–dealers increase conduct risk. However, the threat of harm posed by clients is not envisaged in current definitions of conduct risk. Accordingly, CDR 2017/589 does not currently require firms to evaluate clients’ awareness of it.\n\n\nResearch limitations/implications\nThis study’s findings are limited to the insights provided by 15 participants.\n\n\nOriginality/value\nThis paper contributes to existing research by deepening understanding of conduct risk arising from algorithmic trading and DEA. To account for the potential harm arising from clients’ activities, this paper proposes a revision to Miles’s definition of conduct risk. This is complemented by a proposed amendment to CDR 2017/589 to require evaluation of clients’ understanding of conduct risk.\n","PeriodicalId":44814,"journal":{"name":"Journal of Financial Regulation and Compliance","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Regulation and Compliance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jfrc-04-2022-0046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1
Abstract
Purpose
The purpose of this paper is to examine the effectiveness of two regulatory initiatives in developing awareness of conduct risk associated with algorithmic and direct-electronic access (DEA) trading at broker-dealers: the UK Financial Conduct Authority’s algorithmic trading compliance in the wholesale markets and Commission Delegated Regulation 2017/589 (CDR 589) to the second Markets in Financial Instruments Directive.
Design/methodology/approach
A qualitative examination of 15 semi-structured interviews with representatives of London Metal Exchange member firms, their clients and regulators.
Findings
This paper finds that the key conduct related messages in algorithmic trading compliance in the wholesale markets may not yet be fully embedded at broker–dealers. This is because of a perceived simplicity of the algorithms deployed by broker dealers or, alternatively, a lack of reflection on their impact. Conversely, a concern exists that clients’ deployment of algorithms on DEA channels provided by broker–dealers increase conduct risk. However, the threat of harm posed by clients is not envisaged in current definitions of conduct risk. Accordingly, CDR 2017/589 does not currently require firms to evaluate clients’ awareness of it.
Research limitations/implications
This study’s findings are limited to the insights provided by 15 participants.
Originality/value
This paper contributes to existing research by deepening understanding of conduct risk arising from algorithmic trading and DEA. To account for the potential harm arising from clients’ activities, this paper proposes a revision to Miles’s definition of conduct risk. This is complemented by a proposed amendment to CDR 2017/589 to require evaluation of clients’ understanding of conduct risk.
期刊介绍:
Since its inception in 1992, the Journal of Financial Regulation and Compliance has provided an authoritative and scholarly platform for international research in financial regulation and compliance. The journal is at the intersection between academic research and the practice of financial regulation, with distinguished past authors including senior regulators, central bankers and even a Prime Minister. Financial crises, predatory practices, internationalization and integration, the increased use of technology and financial innovation are just some of the changes and issues that contemporary financial regulators are grappling with. These challenges and changes hold profound implications for regulation and compliance, ranging from macro-prudential to consumer protection policies. The journal seeks to illuminate these issues, is pluralistic in approach and invites scholarly papers using any appropriate methodology. Accordingly, the journal welcomes submissions from finance, law, economics and interdisciplinary perspectives. A broad spectrum of research styles, sources of information and topics (e.g. banking laws and regulations, stock market and cross border regulation, risk assessment and management, training and competence, competition law, case law, compliance and regulatory updates and guidelines) are appropriate. All submissions are double-blind refereed and judged on academic rigour, originality, quality of exposition and relevance to policy and practice. Once accepted, individual articles are typeset, proofed and published online as the Version of Record within an average of 32 days, so that articles can be downloaded and cited earlier.