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    <title>Baquero, G.</title>
    <link>http://repub.eur.nl/res/aut/9215/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>On Hedge Fund Performance, Capital Flows and Investor Psychology (Doctoral Thesis)</title>
      <link>http://repub.eur.nl/res/pub/8192/</link>
      <pubDate>2006-12-07T00:00:00Z</pubDate>
      <description>Guillermo Baquero (Quito, 1967) is assistant professor of Finance and Investments at the Rotterdam School of Management of Erasmus University Rotterdam since 2005. He holds a degree in mechanical engineering (Quito, 1992) and has a professional experience of several years in the field of hydraulic and pneumatic automation. Later he obtained an MBA from the Université Catholique de Louvain and an MSc in Economics from the Katholieke Universiteit Leuven, in Belgium. Between 1999 and 2001 he worked as a research associate at the Centre for Economic Studies (CES) of
the Katholieke Universiteit Leuven. In September 2001 he joined the Financial Management Department of the Rotterdam School of Management and the ERIM PhD program. Guillermo’s research has focused on the persistence of hedge funds and mutual funds, the behaviour of hedge fund investors, behavioural finance and experimental economics. The article at the basis of Chapter 3 of this book was awarded the prize for the best paper on hedge funds at the European Finance Association meetings in Zurich in 2006. The article at the basis of Chapter 2 was published in the Journal of Financial and Quantitative Analysis in 2005 and was awarded the prize for the second best paper on hedge funds at the European Finance Association meetings in Glasgow
in 2003. Guillermo’s teaching experience includes a number of courses in Corporate Finance,
Investments and Behavioural Finance, both at the bachelor and master level, and courses in Industrial Engineering at the executive level. He has worked as a
consultant for several firms and organizations in Belgium and Ecuador in matters related to Finance and Development. He is also a guest lecturer at the Latin-American Faculty of Social Sciences (FLACSO) in Quito, Ecuador.</description>
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      <title>Do Sophisticated Investors Believe in the Law of Small Numbers? (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/7875/</link>
      <pubDate>2006-07-14T00:00:00Z</pubDate>
      <description>Believers in the law of small numbers tend to overinfer the outcome of a random process after a small series of observations. They believe that small samples replicate the probability distribution properties of the population. We provide empirical evidence indicating that investors are mistakenly driven by this psychological bias when hiring or firing a fund manager after a successful (or losing) performance streak. Using quarterly data between 1994 and 2000 of 752 hedge funds, we analyze actual money flows into and out of hedge funds and their relationship with the length of the streak. We first show that persistence patterns have a predictive ability of future relative performance of a manager: the longer the winner streak, the larger the probability for a fund to remain a winner. Investors, in turn, appear to be aware of quality dispersion across managers and respond by following a momentum strategy: the longer the winning (losing) streak, the more likely they will invest in (divest from) that fund. Yet, we find that investors place excessive weight in the managers’ track record as a criterion for decision. Our model shows that the length of the streak has an economically and statistically significant impact on money flows beyond rationally expected performance, which confirms a “hot-hand” bias driving to a large extent momentum investing. Apparently, even sophisticated investors exhibit psychological biases that may have adverse effects on their wealth.</description>
    </item> <item>
      <title>A Portrait of Hedge Fund Investors: Flows, Performance and Smart Money (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/7096/</link>
      <pubDate>2005-11-18T00:00:00Z</pubDate>
      <description>We explore the flow-performance interrelation by explicitly separating the investment and divestment decisions of hedge fund investors. The results show that different determinants and evaluation horizons underlie both decisions. While money inflows are sensitive to past long-run performance, outflows exhibit an immediate and sustained response to past performance in the short run. As a consequence, the shape of the flow-performance relation differs depending on the time horizon being analyzed. We find a weaker flow-performance relation for winning funds at quarterly horizons compared to annual horizons, which may explain why quarterly persistence in hedge fund performance is not competed away. Indeed, we also find evidence that most investors are unable to exploit the persistence of the winners. Conversely, investors are fast and successful in deallocating from the persistent losers, ensuring a disciplining mechanism for lowquality funds. Further, our findings do not support the existence of smart money.</description>
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      <title>Survival, Look-Ahead Bias and the Persistence in Hedge Fund Performance (Article)</title>
      <link>http://repub.eur.nl/res/pub/12614/</link>
      <pubDate>2005-01-01T00:00:00Z</pubDate>
      <description>We analyze the performance persistence in hedge funds taking into account look-ahead bias (multi-period sampling bias). We model liquidation of hedge funds by analyzing how it depends upon historical performance. Next, we use a weighting procedure that eliminates look-ahead bias in measures for performance persistence. In contrast to earlier results for mutual funds, the impact of look-ahead bias is exacerbated for hedge funds due to their greater level of total risk. At the four-quarter horizon, look-ahead bias can be as much as 3.8%, depending upon the decile of the distribution. We find positive persistence in hedge fund quarterly returns after correcting for investment style. The empirical pattern at the annual level is also consistent with positive persistence, but its statistical significance is weak.</description>
    </item> <item>
      <title>Survival, Look-Ahead Bias and the Persistence in Hedge Fund Performance (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/255/</link>
      <pubDate>2002-11-19T00:00:00Z</pubDate>
      <description>Hedge funds databases are typically subject to high attrition rates
because of fund termination and self-selection. Even when all funds
are included up to their last available return, one cannot prevent
that ex post conditioning biases a.ect standard estimates of
performance persistence. In this paper we analyze the persistence in
the performance of U.S. hedge funds taking into account look-ahead
bias (multi-period sampling bias). To do so, we model attrition of
hedge funds and analyze how it depends upon historical performance.
Next, we use a weighting procedure that eliminates look-ahead bias in
measures for performance persistence. The results show that the impact
of look-ahead bias is quite severe, even though positive and negative
survival-related biases are sometimes suggested to cancel out. At
horizons of one and four quarters, we find clear evidence of positive
persistence in hedge fund returns, also after correcting for
investment style. At the two-year horizon, past winning funds tend to
perform poorly in the future.</description>
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