Cross-sectional and time-series momentum returns and market dynamics: evidence from Japan
Access Status
Authors
Date
2017Type
Metadata
Show full item recordCitation
Source Title
ISSN
School
Collection
Abstract
© 2017 Informa UK Limited, trading as Taylor & Francis Group We test the behavioural theories of overconfidence and underreaction on cross-sectional (CS) and time-series (TS) momentum returns in the Japanese stock markets. Both CS and TS momentum returns are large and significant when the market continues in the same state and turns into losses when the market transitions to another state, consistent with the overconfidence but not the underreaction model. We find that TS conditional momentum returns exceed conditional CS momentum returns because of its active position since TS takes a net long (short) position following UP (DN) markets while CS is a zero-cost strategy irrespective of the market state. Finally, we find no relation between idiosyncratic volatility (IV) and momentum returns which is not supportive of either the overconfidence or underreaction model but implies that IV is not a significant limit to arbitrage in Japan.
Related items
Showing items related by title, author, creator and subject.
-
Calder, Dan; O'Grady, Thomas (Barry) (2009)The purpose of this paper is to expand the research on momentum strategies in the securities market. Specifically, it examines the momentum anomaly in respect to the commodity futures market, and closely follows recent ...
-
Bangash, Romana; Khan, Faisal; Jabeen, Zohra (2018)The study inspects the size and liquidity pattern in Pakistan equity market. Sample size contains 278 non-financial firm’s monthly data listed on Pakistan Stock Exchange (PSX) from 2001 to 2012. This study uses three asset ...
-
Cheema, M.; Man, Y.; Szulczyk, Kenneth (2018)© 2018 International Review of Finance Ltd. Recent evidence on the relationship between investor sentiment and subsequent monthly market returns in China shows that investor sentiment is a reliable momentum predictor since ...