Does the deployment of algorithms combined with direct electronic access increase conduct risk? Evidence from the LME

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Alexander Conrad Culley
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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.
算法的部署与直接电子访问相结合是否会增加行为风险?LME的证据
目的本文的目的是检验两项监管举措在提高交易商对算法和直接电子访问(DEA)交易相关行为风险的认识方面的有效性:英国金融行为监管局在批发市场的算法交易合规性和委员会授权的2017/589号条例(CDR 589)金融工具指导。设计/方法/方法对伦敦金属交易所成员公司、其客户和监管机构的代表进行的15次半结构化访谈进行定性审查。发现本文发现,批发市场算法交易合规性中的关键行为相关信息可能尚未完全嵌入交易商。这是因为人们认为经纪人部署的算法很简单,或者缺乏对其影响的反思。相反,存在一种担忧,即客户在交易商提供的DEA渠道上部署算法会增加行为风险。然而,目前的行为风险定义中没有设想客户构成的伤害威胁。因此,CDR 2017/589目前不要求公司评估客户对其的认识。研究局限性/含义本研究的发现仅限于15名参与者提供的见解。原创性/价值本文通过加深对算法交易和DEA产生的行为风险的理解,为现有研究做出了贡献。为了说明客户活动产生的潜在危害,本文对Miles的行为风险定义进行了修订。这是对CDR 2017/589的拟议修正案的补充,该修正案要求评估客户对行为风险的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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