Cross‐Sectional and Time Series Momentum Returns and Market States

DOIhttp://doi.org/10.1111/irfi.12148
Published date01 December 2018
AuthorGilbert V. Nartea,Muhammad A. Cheema,Yimei Man
Date01 December 2018
Cross-Sectional and Time Series
Momentum Returns and Market
States
MUHAMMAD A. CHEEMA
,GILBERT V. NARTEA
AND YIMEI MAN
Department of Finance Waikato Management School, University of Waikato,
Hamilton, New Zealand and
Department of Economics and Finance, UC Business School, University of Canterbury,
Christchurch, New Zealand
ABSTRACT
Recent evidence on momentum returns shows that the time series (TS) stra-
tegy outperforms the cross-sectional (CS) strategy. We present new evidence
that this happens only when the market continues in the same state, up or
down. In fact, we nd that the TS strategy underperforms the CS strategy
when the market transitions to a different state. Our results also show that
the difference in momentum returns between TS and CS strategies is related
to both the net long and net short positions of the TS strategy.
JEL Codes: G11; G12; G14
Accepted: 18 July 2017
I. INTRODUCTION
Momentum trading strategies rely on return predictability based on past
returns with much of the early momentum literature dealing with cross-
sectional patterns, in line with studies that investigate asset pricing anoma-
lies. For example, Jegadeesh and Titman (1993) show that stocks that have
outperformed (underperformed) their peers in the past 3 to 12 months usu-
ally continue to outperform (underperform) in the next 3 to 12 months. This
has led to the so-called cross-sectional momentum strategy of buying recent
winners and short-selling recent losers relative to the cross section of stocks.
The cross-sectional momentum strategy has subsequently been shown to be
protable in several asset classes and markets (e.g. Rouwenhorst 1998; Asness
et al. 2013).
1
More recently, Moskowitz et al. (2012) document a time series
1 Momentum prots are apparently conditioned by business cycles (Chordia and Shivakumar
2002), market states and market dynamics (Cooper et al. 2004; Asem and Tian 2010), and mar-
ket volatility (Wang and Xu 2015). Daniel and Moskowitz (2016) show that momentum strat-
egies can also experience infrequent bouts of negative returns which are partly forecastable.
© 2017 International Review of Finance Ltd. 2017
International Review of Finance, 2017
DOI: 10.1111/ir.12148
International Review of Finance, 18:4, 2018: pp. 705–715
DOI:10.1111/ir .12148
© 2017 International Review of Finance Ltd. 2017

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