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Simon Rottke

Personal Details

First Name:Simon
Middle Name:
Last Name:Rottke
Suffix:
RePEc Short-ID:pro831
[This author has chosen not to make the email address public]

Affiliation

(99%) Finance Group
Faculteit Economie en Bedrijfskunde
Universiteit van Amsterdam

Amsterdam, Netherlands
http://absri.uva.nl/research-programmes/research-programmes/research-programmes/content/folder/finance-group/finance-group.html
RePEc:edi:fguvanl (more details at EDIRC)

(1%) Tinbergen Instituut

Amsterdam, Netherlands
http://www.tinbergen.nl/
RePEc:edi:tinbenl (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Kent Daniel & Alexander Klos & Simon Rottke, 2018. "The Dynamics of Disagreement," NBER Working Papers 25346, National Bureau of Economic Research, Inc.
  2. Kent Daniel & Lira Mota & Simon Rottke & Tano Santos, 2017. "The Cross-Section of Risk and Return," NBER Working Papers 24164, National Bureau of Economic Research, Inc.
  3. Simon Rottke & Alexander Klos, 2013. "Savings and Consumption When Children Move Out," SOEPpapers on Multidisciplinary Panel Data Research 621, DIW Berlin, The German Socio-Economic Panel (SOEP).

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Kent Daniel & Alexander Klos & Simon Rottke, 2018. "The Dynamics of Disagreement," NBER Working Papers 25346, National Bureau of Economic Research, Inc.

    Cited by:

    1. Dominik M. Piehlmaier, 2022. "Overconfidence and the adoption of robo-advice: why overconfident investors drive the expansion of automated financial advice," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.

  2. Kent Daniel & Lira Mota & Simon Rottke & Tano Santos, 2017. "The Cross-Section of Risk and Return," NBER Working Papers 24164, National Bureau of Economic Research, Inc.

    Cited by:

    1. Cujean, Julien & Andrei, Daniel & Fournier, Mathieu, 2019. "The Low-Minus-High Portfolio and the Factor Zoo," CEPR Discussion Papers 14153, C.E.P.R. Discussion Papers.
    2. Langlois, Hugues, 2023. "What matters in a characteristic?," Journal of Financial Economics, Elsevier, vol. 149(1), pages 52-72.
    3. Tengfei Zhang, 2020. "Manager Uncertainty and Cross-Sectional Stock Returns," 2020 Papers pzh934, Job Market Papers.
    4. Mikhail Chernov & Lars A Lochstoer & Stig R H Lundeby, 2022. "Conditional Dynamics and the Multihorizon Risk-Return Trade-Off," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1310-1347.
    5. I-Cheng Yeh & Yi-Cheng Liu, 2020. "Discovering optimal weights in weighted-scoring stock-picking models: a mixture design approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-28, December.
    6. Yukun Liu & Aleh Tsyvinski & Xi Wu, 2019. "Common Risk Factors in Cryptocurrency," NBER Working Papers 25882, National Bureau of Economic Research, Inc.
    7. Clarke, Charles, 2022. "The level, slope, and curve factor model for stocks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 159-187.
    8. Favero, Carlo A. & Melone, Alessandro, 2020. "Asset Pricing vs Asset Expected Returning in Factor-Portfolio Models," CEPR Discussion Papers 14417, C.E.P.R. Discussion Papers.
    9. Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
    10. Lambert, Marie & Fays, Boris & Hübner, Georges, 2020. "Factoring characteristics into returns: A clinical study on the SMB and HML portfolio construction methods," Journal of Banking & Finance, Elsevier, vol. 114(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FMK: Financial Markets (1) 2018-01-15
  2. NEP-RMG: Risk Management (1) 2018-01-15

Corrections

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