The Value Added by Trading Based on Valuation Criteria

AuthorLydia Mateos,Laura Andreu,José Luis Sarto
DOIhttp://doi.org/10.1111/irfi.12097
Published date01 September 2017
Date01 September 2017
The Value Added by Trading Based
on Valuation Criteria*
LAURA ANDREU,LYDIA MATEOS AND JOSÉ LUIS SARTO
Department of Finance and Accounting, University of Zaragoza, Zaragoza, Spain
ABSTRACT
We investigate the value added by active mutual fund management by exam-
ining a comprehensive database of monthly trades of equity mutual funds be-
cause understanding how managers add value for their clients is important in
the current context of a growing fraction of individual investors delegating
their portfolio management to professional managers. We nd that the value
added by trading based on valuation criteria outperform trading decisions
motivated by other reasons such as liquidity and taxes. This nding is ob-
tained using both the measures previously proposed by nancial literature
as well as some renements proposed here to evaluate the role of mutual
funds' cash level as well as the interdependence between buying and selling
decisions. In addition, mutual funds that trade based on valuation criteria
more frequently outperform funds that follow this type of trading occasion-
ally. The results are consistent with the notion that active mutual funds on
average fail to outperform passive benchmarks and only a subset of funds
have skilled managers.
JEL Codes: G23
I. INTRODUCTION
This paper sheds light on the value added by active mutual fund managers when
their trading is based on valuation criteria that is when they make dispropor-
tional buys in time periods with money restrictions (the portfolios are suffering
large outows without cash excess) or sells when they are not constrained by
money outows or by the maintenance of a minimum cash level. Analyzing a
comprehensive database of monthly portfolio holdings, we nd that these trades
lead funds to perform signicantly better than their counterparts.
* The authors would like to thank the participants of the XXIII Finance Forum and 22
nd
Annual Con-
ference of the Multinational Finance Society as well as participants of the NIPE Seminar at University
of Minho (Portugal). The authors also acknowledge the nancial support provided by Gobierno de
Aragón/Fondo Social Europeo (Grant 268-S14/2 Construyendo Europa desde Aragón) and by the
Spanish Department of Science Grant ECO2013-45568-R. Any possible errors contained in this paper
are the exclusive responsibility of the authors.
© 2016 International Review of Finance Ltd. 2016
International Review of Finance, 17:3, 2017: pp. 327352
DOI: 10.1111/ir.12097
These results are line with recent literature that demonstrates the superior
ability of active mutual funds. Chen et al. (2000), Alexander et al. (2007),
Cremers and Petajisto (2009), Baker et al. (2010) and Jiang et al. (2014) nd sup-
port for the hypothesis of trading skills of mutual fund managers. Thus, although
the average fund portfolio does not outperform the benchmark (see, e.g., Jensen
1968; Daniel et al. 1997; Fama and French 2010), there is evidence that trades are
made with an element of skill.
To enable more powerful tests of the stock-selection abilities of fund man-
agers, the abovementioned studies highlight the importance of analyzing mutual
fund trades instead of fund return or portfolio holdings. Hence, we rst examine
the performance of stocks traded by comparing the subsequent performance of
the stocks bought and sold. This analysis will provide us a general idea about
the stock-picking abilities of fund managers.
The structure of open-end funds leads managers to trade based on valuation
criteria but also for other reasons. Unanticipated money ows force managers
to continually rebalance their portfolios to control liquidity. Warther (1995)
and Edelen (1999) argue that open-end fund managers have to provide liquidity
to investors. They are thus obligated to make investment decisions to manage the
liquidity; consequently, they underperform their benchmark because of the
transaction costs. Second, the desire to minimize taxable distributions creates
incentives for them to sell losers heading into the tax year end. Moreover, to im-
press investors, managers may window-dress their portfolios by buying recent
winners and selling recent losers just before reporting dates.
Hence, the aim of the study is to isolate trading decisions by active funds de-
pending on the underlying motivation that leads managers to trade. We compare
the performance consequences of mutual fund whose trades are based on valua-
tion criteria with respect to the remaining reasons to trade. If active mutual funds
trade to exploit their stock-picking abilities or information advantages, the trades
based on valuation beliefs should add more value to fund performance than
those trades carried out by other reasons.
To isolate fund portfolios for which trading activity relies on valuation criteria,
we rst follow the approach of Alexander et al. (2007) of examining both the
trading activity of the fund manager (buys and sells) and the fund investment
ows. The analysis of the inows/outows to the fund is important because out-
ows increase managers' urgency to sell more than inows do to buy, which of-
ten leads to erosion in the portfolio performance (Christoffersen et al. 2007).
A manager's purchase of a certain amount of a given security that is perceived
as underpriced if the mutual fund is receiving money inows is completely differ-
ent from purchasing it in a context of money outows. In the rst case, the buy-
ing decision can be motivated by valuation criteria but also to control the
liquidity of the portfolio. However, in the second case, the buying decision is
clearly based on valuation criteria because the manager has money restrictions
and in spite of that he/she buys the security. Thus, the aim of this analysis is to
provide evidence of stock-picking abilities among active fund managers when
trades are mainly based on valuation criteria.
International Review of Finance
© 2016 International Review of Finance Ltd. 2016328

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