Mutual fund skill in timing market volatility and liquidity

DOIhttp://doi.org/10.1002/ijfe.1580
Published date01 October 2017
AuthorJason Foran,Niall O'Sullivan
Date01 October 2017
RESEARCH ARTICLE
Mutual fund skill in timing market volatility and liquidity
Jason Foran
1
| Niall O'Sullivan
2
1
Centre for Investment Research,
University College Cork, Cork, Ireland
2
Department of Economics and Centre for
Investment Research, University College
Cork, Cork, Ireland
Correspondence
Prof. Niall O'Sullivan, Department of
Economics, University, College Cork,
Cork, Ireland.
Email: niall.osullivan@ucc.ie
Funding information
Irish Research Council
JEL Classification: G11; G12; G14
Abstract
We investigate both market volatility timing and market liquidity timing for the
first time among UK mutual funds. We find strong evidence that a small
percentage of funds time market volatility successfully, that is, when condi-
tional market volatility is higher than normal, systematic risk levels are lower.
The evidence around market liquidity timing ability is similar although it is
slightly less prevalent compared to volatility timing. Here, funds lower the fund
market beta in anticipation of reduced market liquidity. We also find a positive
relation between liquidity timing ability and fund abnormal performance
where skilled liquidity timers outperform unskilled timers by around 3% p.a.
though this finding is driven by poor liquidity timing funds going on to yield
negative alpha. However, despite the evidence of volatility and liquidity timing
ability among funds, we fail to find in support of persistence in this timing. We
find little evidence supporting market return timing ability.
KEYWORDS
Liquidity, mutualfund performance, timing, volatility
1|INTRODUCTION
In this paper, we investigate whether UK equity mutual
funds are able to time fluctuations in both market volatil-
ity and market liquidity, assuming that managers attempt
to do so in their investors' best interests. There is a size-
able extant literature on funds' ability to time fluctuations
in market return, in particular, in the US and UK fund
industries, for example, Treynor and Mazuy (1966),
Henriksson (1984), Ferson and Schadt (1996), Jiang
(2003), and Cuthbertson, Nitzsche, and O'Sullivan
(2010). However, less work has been undertaken on mar-
ket volatility timing, for example, Busse (1999) and
Giambona and Golec (2007), while there has been a
dearth of study on market liquidity timing (Cao, Simin,
& Wang, 2013). To our knowledge, we are the first paper
to set about the dual task of evaluating funds' skill in both
market volatility and market liquidity timing in the UK
mutual fund industry.
There are a number of reasons why market volatility
timing is of interest. First, riskaverse investors are con-
cerned about both risk and return. If funds can decrease
(increase) beta when market volatility rises (falls), they
have the potential to deliver returns with relatively low
volatility. Busse (1999) finds that 80% of his 230 US funds
sample time volatility in this way.
Busse (1999) theorises a probably negative relation
between market return and market volatility. This is
empirically confirmed in the US data, which show a
monthly correlation between the S&P 500 return and
standard deviation of 0.47 between 1985 and 1995. This
incentivises fund managers to reduce the fund market
beta in anticipation of higher market volatility. Busse also
documents a significant relation between volatility timing
and fund performance: funds that reduce systematic risk
when conditional volatility is high earn higher risk
adjusted returns. Our UK data show a similar negative
We are grateful for financial support from the Irish Research Council as
well as the Strategic Research Fund at University College Cork, Ireland.
Received: 28 September 2016 Revised: 11 June 2017 Accepted: 20 June 2017
DOI: 10.1002/ijfe.1580
Int J Fin Econ. 2017;22:257273. Copyright © 2017 John Wiley & Sons, Ltd.wileyonlinelibrary.com/journal/ijfe 257
relationship between market volatility and market
returns: the monthly correlation between the FTSE All
Share return and standard deviation is 0.50 over the sam-
ple period under consideration (January 1997February
2009). Based on this intuition, if managers can time
market volatility, we expect a negative relation between
a fund's systematic risk (market beta) and market
volatility.
Second, most measures of performance are risk
adjusted (e.g., the Sharpe ratio and multifactor model
alphas). Because riskadjusted performance affects fund
cash flows (Kacperczyk & Seru, 2007; Massa, 2003;
Nanda, Wang, & Zheng, 2004), how funds manage risk
has implications for assets under management, fund fees,
and manager compensation. Studies such as Brown,
Harlow, and Starks (1996); Chevalier and Ellison (1997);
and Golec and Starks (2004) show that compensation
incentives affect fund managers' risk choices. Therefore,
fund managers may also attempt to time market volatility
independently of its relationship with market return.
Finally, although stock returns may be unpredictable,
there is persistence and predictability in volatility over
time (Bollerslev, Chou, & Kroner, 1992; Busse, 1999).
Therefore, there is greater reason, a priori, to believe that
fund managers may attempt to time market volatility, if
not market returns.
Cao et al. (2013), a study of the US domestic equity
mutual fund industry, is the only study of mutual fund
liquidity timing. There are also a number of reasons to
study market liquidity timing. First, clearly, liquidity is
of concern to mutual fund managers because an impor-
tant function performed by mutual funds is to provide
liquidity to investors. Second, the 2008 financial crisis
established a link between marketwide liquidity and
fund performance where reduced liquidity was accompa-
nied by dramatic stock market declines. More formally,
asset pricing literature has identified market liquidity as
a risk factor in asset pricing.
1
As with volatility timing, if
fund managers can anticipate market liquidity conditions,
they can adapt their portfolio exposure accordingly to
alleviate losses and improve performance.
Market liquidity, similar to market volatility, is persis-
tent (Amihud, 2002; Chordia, Roll, & Subrahmanyam,
2000; Hasbrouck & Seppi, 2001; Pastor & Stambaugh,
2003), which again rationalises fund managers' attempt
to time it.
Acharya and Pedersen (2005) develop a theoretical
model of how asset prices are determined by three types
of illiquidity risk.
2
The model shows that because illiquid-
ity is persistent, it predicts future returns and is inversely
related to contemporaneous returns. This is because an
illiquidity shock predicts greater future illiquidity, this
raises future required returns and lowers
contemporaneous prices and contemporaneous returns.
Hence, a market illiquidity shock is associated with low
contemporaneous returns. Following Acharya and Peder-
sen (2005), Cao et al. (2013) contends that as market illi-
quidity shocks are contemporaneously and inversely
related to market returns, fund managers with (il)liquid-
ity timing ability reduce market exposure prior to higher
market illiquidity and we expect a negative market beta/
market illiquidity relation.
The above discussion links the sensitivity of a fund's
market beta to anticipated market volatility and market
liquidity. In a related stream of research, Huang (2015)
examines the relationship between expected market vola-
tility and mutual funds' demand for liquidity. During
periods of market volatility, there is a need for funds to
create a liquidity cushion to manage liquidity risk
(Scholes, 2000). As described by Huang (2015), periods
of high market volatility are associated with higher prob-
ability and magnitude of investor redemptions. Liquidity
mitigates against the adverse effects of investor outflows
by enabling funds to better meet redemptions without
the need to liquidate investments, which can be costly
(Chen, Goldstein, & Jiang, 2010; Nanda, Narayanan, &
Warther, 2000).
Huang argues that to the extent that expected market
volatility can serve as a signal of future redemptions, as
part of a liquidity risk timing strategy fund managers
can reduce the fund market beta (e.g., higher cash hold-
ings) during periods when expected market volatility is
high. Therefore, fund managers may attempt to time mar-
ket illiquidity independently of its relationship with mar-
ket return.
In this paper, we address a number of questions. We
investigate whether market volatility and market liquidity
conditions motivate fund managers' stock selection and
asset allocations decisions and whether managers possess
the ability to time these conditions. We further evaluate
whether managers have private timing skill, that is, an
ability to predict market volatility and liquidity beyond
that which may be predicted by publicly available infor-
mation. Third, we examine whether there is persistence
in these skillsis it possible ex ante to select skilful
timing funds? Finally, we ask whether volatility and
liquidity timing ability predict fund performance. To our
knowledge, we are the first paper to investigate these
questions in the UK fund industry.
We find that a small percentage of funds are skilful
volatility timers and reduce systematic risk in advance of
higher conditional market volatility. A slightly smaller
number of funds are similarly found to reduce the fund
beta in anticipation of market illiquidity. It is clear that
these timing abilities are private in that they remain in
our sample of funds after controlling for the predictive
258 FORAN AND O'SULLIVAN

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