Macquarie University
Browse

Market quality: the joint impact of algorithmic trading and fragmentation

Download (4.69 MB)
thesis
posted on 2022-03-28, 10:28 authored by Drew Harris
This thesis examines the combined effect of algorithmic trading and market fragmentation on market quality. Three distinct but inter-related research studies are conducted and the ultimate findings of the thesis are three fold. First, exchange listed companies can use stock splits to manage their tick size and influence the level of algorithmic market making in their security, which can subsequently impact the company’s liquidity. Stock splits alter a security’s relative tick size. In some cases, this change in relative tick size increases the quoted spread captured by market makers. This extra incentive improves liquidity and reduces transaction costs. Companies that undertake stock splits while already tick constrained increase the profit of market makers at the cost of liquidity takers. Second, the research shows that dark trading contributes very little to the price discovery of a market. Further, regulation that reduces the level of dark trading in a market does not impact the relative competitiveness in price discovery for cross listed assets. Third, the thesis examines the joint impact of fragmentation and algorithmic trading. Findings show that on exchange fragmentation increases market competition and reduced transaction costs, with two side effects: the joint growth of dark fragmentation and algorithmic trading. Dark trading reduces integrity by adding an alternate venue with lesser price impact, while algorithmic trading increases both market efficiency and integrity.

History

Table of Contents

1. Introduction -- 2. Literature review -- 3. Tick size, electronic liquidity providers and market quality -- 4. Price discovery and dark trading -- 5. Joint impact of fragmentation and algorithmic trading on market quality -- 6. Conclusions.

Notes

Theoretical thesis. Bibliography: pages 195-208

Awarding Institution

Macquarie University

Degree Type

Thesis PhD

Degree

PhD, Macquarie University, Macquarie Graduate School of Management

Department, Centre or School

Macquarie Graduate School of Management

Year of Award

2016

Principal Supervisor

Andrew Lepone

Rights

Copyright Drew Harris 2016. Copyright disclaimer: http://www.copyright.mq.edu.au

Language

English

Extent

1 online resource (208 pages) graphs, tables

Former Identifiers

mq:47064 http://hdl.handle.net/1959.14/1089620

Usage metrics

    Macquarie University Theses

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC