Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Profitability and herding of trade-based pump-and-dump manipulation

Authors
Lee, Eun JungLee, Yu KyungKim, Ryumi
Issue Date
Feb-2023
Publisher
Routledge
Keywords
herding; profitability; pump-and-dump; Trade-based manipulation; trade-level data
Citation
Applied Economics, v.56, no.20, pp 1 - 11
Pages
11
Indexed
SSCI
SCOPUS
Journal Title
Applied Economics
Volume
56
Number
20
Start Page
1
End Page
11
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117963
DOI
10.1080/00036846.2023.2182405
ISSN
0003-6846
Abstract
We use the Korea Stock Exchange’s complete intraday order and trade data in a dataset that identifies individual accounts to examine whether trade-based pump-and-dump manipulators can trade profitably and whether other investors herd after the manipulation. The results show that other investors place more buy orders on stocks with higher manipulative buying volume and that more new investors buy such stocks. We also find that the trade-based pump-and-dump manipulation is profitable on average, both gross and net of transaction costs. Manipulators who have higher trading volume, more experience with manipulation, and less frequent transactions are likely to achieve larger profits. We also find that this type of manipulation is far more pervasive in the emerging market. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF BUSINESS AND ECONOMICS > DIVISION OF BUSINESS ADMINISTRATION > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Eun Jung photo

Lee, Eun Jung
COLLEGE OF BUSINESS AND ECONOMICS (DIVISION OF BUSINESS ADMINISTRATION)
Read more

Altmetrics

Total Views & Downloads

BROWSE