Sofie Van Osselaer’s research while affiliated with Ghent University and other places

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Publications (3)


An Anatomy of Institutional Trading Records
  • Article

December 2008

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107 Reads

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1 Citation

SSRN Electronic Journal

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Sofie Van Osselaer

This paper explores a unique data set comprising the transactions executed by a large sample of mutual funds for the period August 2002 - April 2007. This data set qualifies as a worthy counterpart for another (often used) transactional data set provided by the Plexus Group. It will serve as input for various papers, but is interesting in its own right. We discuss the structure of the data set, we enumerate the major asset classes traded by the institutionals and we describe the global representation of the traded securities. Finally, we detail the filtering procedures necessary to obtain a sample of equity transactions executed by actively managed mutual funds.


Disposition Bias and Overconfidence in Institutional Trades

January 2008

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731 Reads

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10 Citations

SSRN Electronic Journal

Using a unique data set of mutual fund transactions, this paper examines two widely acknowledged behavioural biases: overconfidence in trading and disposition behaviour. We test for the first bias by comparing the future profitability of the purchased and sold securities by mutual funds. Our empirical results show that the return difference between the purchased and sold securities is not sufficient enough to cover the incurred transaction costs, suggesting that fund managers exhibit overconfidence in their trading capabilities. The disposition bias, i.e. the reluctance of investors to sell losing stocks, is tested by the widely accepted methodology of Odean (1998). In contrast to Odean`s findings for individual investors, we reject the disposition hypothesis and instead document a propensity of mutual fund managers to cut losses early.


Performance Evaluation of Portfolio Insurance Strategies Using Stochastic Dominance Criteria

January 2007

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25 Reads

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10 Citations

SSRN Electronic Journal

This paper evaluates the performance of the stop-loss, synthetic put and constant proportion portfolio insurance techniques based on a block-bootstrap simulation. We consider not only traditional performance measures, but also some recently developed measures that capture the non-normality of the return distribution (value-at-risk, expected shortfall, and the Omega measure). We compare them to the more comprehensive stochastic dominance criteria. The impact of changing the rebalancing frequency and level of capital protection is examined. We find that, even though a buy-and-hold strategy generates higher average excess returns, it does not stochastically dominate the portfolio insurance strategies, nor vice versa. Our results indicate that a 100% floor value should be preferred to lower floor values and that daily-rebalanced synthetic put and CPPI strategies dominate their counterparts with less frequent rebalancing.

Citations (3)


... Many classic actuarial and financial problems have been revisited using new risk functions. For instance, pricing and hedging issues in incomplete markets (Föllmer and Schied, 2002;Nakano, 2004;Staum, 2004;Balbás et al., 2010, etc.), as well as equitylinked annuities hedging issues (Barbarin and Devolder, 2005), optimal reinsurance problems , portfolio insurance linked problems (Annaert et al., 2009) and other practical topics. ...

Reference:

CAPM and APT-like models with risk measures
Performance Evaluation of Portfolio Insurance Strategies Using Stochastic Dominance Criteria
  • Citing Article
  • January 2007

SSRN Electronic Journal

... In this logic, the emotional charge would be much more prevalent for small investors than for institutional investors, who are strongly influenced by response protocols (reflecting the experience accumulated over the course of the institutional investor's history) to informational stimuli. Various studies have shown that institutional investors are less subject to the effects of behavioral biases than individual investors (Annaert et al., 2008). ...

Disposition Bias and Overconfidence in Institutional Trades
  • Citing Article
  • January 2008

SSRN Electronic Journal

... We obtain a unique dataset (Annaert et al. (2008)) of mutual fund transactions that allows direct tests of trading behavior. An anatomy of institutional trades is indispensable to shed light on the trading behavior of market participants to improve our understanding of financial market dynamics. ...

An Anatomy of Institutional Trading Records
  • Citing Article
  • December 2008

SSRN Electronic Journal