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Mathijs Cosemans is an Associate Professor of Finance at the Rotterdam School of Management, Erasmus University. Prior to joining RSM, he was a postdoctoral research fellow at the University of Amsterdam and a visiting research fellow at Harvard Business School and Columbia Business School. Mathijs obtained a Ph.D. degree from Maastricht University for his work on risk and return dynamics in stock markets. He holds a Bachelor’s and Master’s degree in Financial Economics and a Master’s degree in Econometrics from Maastricht University.


His research focuses on empirical asset pricing, behavioral finance, and financial econometrics and has been presented at the annual meetings of the American Finance Association, Western Finance Association, SFS Cavalcade, European Finance Association, Financial Management Association, Society for Financial Econometrics, and Econometric Society. His work has been published in international refereed journals such as the Review of Financial Studies and the Journal of Banking and Finance. He received research grants from Inquire Europe, Netspar, and the Society for Financial Econometrics and Best Paper awards from the Financial Management Association.


At RSM, Mathijs teaches MSc courses in Derivatives, Risk Management, and Empirical Research Methods, an MBA course in Investments, and a PhD course in Asset Pricing. He has received the Best Professor award for excellence in teaching in the MSc Finance and Investments.




Review of Financial Studies, 29, 1072-1112, 2016 (with Rik Frehen, Peter Schotman, and Rob Bauer)

We propose a hybrid approach for estimating beta that shrinks rolling window estimates towards firm-specific priors motivated by economic theory. Our method yields superior forecasts of beta that have important practical implications. First, hybrid betas carry a significant price of risk in the cross-section even after controlling for characteristics, unlike standard rolling window betas. Second, the hybrid approach offers statistically and economically significant out-of-sample benefits for investors who use factor models to construct optimal portfolios. We show that the hybrid estimator outperforms existing estimators because shrinkage towards a fundamentals-based prior is effective in reducing measurement noise in extreme beta estimates.

European Financial Management16, 165-190, 2010 (with Rob Bauer and Peter Schotman)

This study provides European evidence on the ability of static and dynamic specifications of the Fama and French (1993) three-factor model to price 25 size-B/M portfolios. In contrast to US evidence, we detect a small-growth premium and find that the size effect is still present in Europe. Furthermore, we document strong time variation in factor risk loadings. Incorporating these risk fluctuations in conditional specifications of the three-factor model clearly improves its ability to explain time variation in expected returns. However, the model still fails to completely capture cross-sectional variation in returns as it is unable to explain the momentum effect. 

Journal of Banking and Finance33, 731-746, 2009 (with Rob Bauer and Piet Eichholtz)

This paper examines the impact of option trading on individual investor performance. The results show that most investors incur substantial losses on their option investments, which are much larger than the losses from equity trading. We attribute the detrimental impact of option trading on investor performance to poor market timing that results from overreaction to past stock market returns. High trading costs further contribute to the poor returns on option investments. Gambling and entertainment appear to be the most important motivations for trading options while hedging motives only play a minor role. We also provide strong evidence of performance persistence among option traders.




Revise and ResubmitJournal of Financial Economics (with Rik Frehen) - February 2017

2017 SFS Cavalcade North America, 2017 FMA Annual Meeting, 2017 ESSFM Gerzensee, 2016 Research in Behavioral Finance Conference

Best Paper Award in Investments, 2017 FMA Annual Meeting  

We present empirical evidence on the asset pricing implications of salience theory. In our model, investors overweight salient past returns when forming expectations about future returns. Consequently, investors are attracted to stocks with salient upsides, which are overvalued and earn low subsequent returns. Conversely, stocks with salient downsides are undervalued and yield high future returns. We find strong empirical support for these predictions in the cross-section of U.S. stocks. The salience effect is stronger among stocks with greater limits to arbitrage and during high-sentiment periods and not explained by common risk factors and proxies for lottery demand and investor attention.

Ownership Crowded with Style: Institutional Investors and Liquidity Risk

New draft coming soon (with Alessandro Beber, Michael Brandt, and Michela Verardo)

Best Paper Award, FMA Consortium on Hedge Fund Research

Insider Trading and the Fairness of Financial Markets

New draft coming soon (with Rik Frehen)

2018 ESSFM Gerzensee

Causes and Consequences of Horizon Effects in Correlations

Presented at Annual Meetings of the Econometric Society (ES) and Society for Financial Econometrics (SoFiE)




Erasmus University, Rotterdam School of Management (2012 - present)

Current Courses:

Past Courses:

University of Amsterdam, Amsterdam Business School (2010 - 2011)

  • Fixed Income Management (MSc Business Economics)

  • Advanced Risk Management (MSc International Finance)

  • Investments and Portfolio Theory (BSc Economics)

Maastricht University, School of Business and Economics (2005 - 2009)

  • Empirical Analysis of Financial Markets (MSc Financial Economics)

  • Fixed Income Management (MSc Financial Economics)

  • Behavioral Finance (MSc International Business)

  • Financial Crises (BSc Economics)


Mathijs Cosemans

Rotterdam School of Management, Erasmus University
Department of Finance, Room T08-41

P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands

+31-10-4089095 (office)

+31-10-4082790 (secretary)



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