The University of Southampton
University of Southampton Institutional Repository

A new momentum measurement in the Chinese stock market

A new momentum measurement in the Chinese stock market
A new momentum measurement in the Chinese stock market
Literature shows that the traditional momentum effect is absent in China, and our evidence also confirms this. However, considering the information of short-term investors' consistent beliefs in price movements, we can capture a significant momentum effect. The short-term information horizon for reflecting the investor belief is relative to the longer information horizon of asset past performance in capturing basic momentum. By constructing an indicator of CB to reflect investors' short-term consistent belief in price movements, we develop a new momentum indicator, CBMOM, as the product of short-term CB and long-run past returns. Based on the data from January 2000 to December 2020 in China, our results show that CBMOM has an advantage of capturing the momentum effect over the past-return measure. In particular, the momentum strategy based on CBMOM with the one-month CB and the one-year past return has the strongest profit. Furthermore, we examine the nonlinear impact of the synergy between CB and the one-year past return on stock returns. Specifically, the one-year past return has a greater positive impact as the cross-sectional CB level increases, but the significance is strong only for the highest-level CB.
Cross-sectional returns, Investor belief, Momentum effect, Past returns
0927-538X
Li, Yan
8e3c0545-eb58-48c8-a4a1-756a512acd16
Liang, Chao
156910f6-c89e-473e-a7d2-0f1065e5f01c
Huynh, Luu Duc Toan
5ce01bb6-0184-49cc-8f34-aae3a1169e47
Li, Yan
8e3c0545-eb58-48c8-a4a1-756a512acd16
Liang, Chao
156910f6-c89e-473e-a7d2-0f1065e5f01c
Huynh, Luu Duc Toan
5ce01bb6-0184-49cc-8f34-aae3a1169e47

Li, Yan, Liang, Chao and Huynh, Luu Duc Toan (2022) A new momentum measurement in the Chinese stock market. Pacific-Basin Finance Journal, 73 (June), [101759]. (doi:10.1016/j.pacfin.2022.101759).

Record type: Article

Abstract

Literature shows that the traditional momentum effect is absent in China, and our evidence also confirms this. However, considering the information of short-term investors' consistent beliefs in price movements, we can capture a significant momentum effect. The short-term information horizon for reflecting the investor belief is relative to the longer information horizon of asset past performance in capturing basic momentum. By constructing an indicator of CB to reflect investors' short-term consistent belief in price movements, we develop a new momentum indicator, CBMOM, as the product of short-term CB and long-run past returns. Based on the data from January 2000 to December 2020 in China, our results show that CBMOM has an advantage of capturing the momentum effect over the past-return measure. In particular, the momentum strategy based on CBMOM with the one-month CB and the one-year past return has the strongest profit. Furthermore, we examine the nonlinear impact of the synergy between CB and the one-year past return on stock returns. Specifically, the one-year past return has a greater positive impact as the cross-sectional CB level increases, but the significance is strong only for the highest-level CB.

Text
Pacific-Basin Finance Journal - Accepted version - Accepted Manuscript
Download (1MB)
Text
A new momentum measurement in the Chinese stock market
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 6 April 2022
e-pub ahead of print date: 12 April 2022
Published date: June 2022
Additional Information: Publisher Copyright: © 2022 Elsevier B.V.
Keywords: Cross-sectional returns, Investor belief, Momentum effect, Past returns

Identifiers

Local EPrints ID: 456671
URI: http://eprints.soton.ac.uk/id/eprint/456671
ISSN: 0927-538X
PURE UUID: 8f766750-43b5-41aa-b0cb-657520883a0e
ORCID for Luu Duc Toan Huynh: ORCID iD orcid.org/0000-0002-6653-7447

Catalogue record

Date deposited: 05 May 2022 17:01
Last modified: 17 Mar 2024 07:16

Export record

Altmetrics

Contributors

Author: Yan Li
Author: Chao Liang
Author: Luu Duc Toan Huynh ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×