IDEAS home Printed from https://ideas.repec.org/a/spr/sjobre/v65y2013i7d10.1007_bf03372889.html
   My bibliography  Save this article

Don’t Cry for Me Germania?

Author

Listed:
  • Sebastian Lobe

    (WHL Wissenschaftliche Hochschule Lahr und FACT-Center)

  • Christoph Schmidhammer

    (Schloss Hachenburg)

  • Jennifer Pickel

    (Universität Regensburg)

Abstract

Zusammenfassung Innerhalb kürzester Zeit hat sich die inzwischen vier Jahre alte Tagesanleihe zum bedeutendsten Wertpapier des Bundes, welches an Privatanleger gerichtet ist, neben dem Bundesschatzbrief etabliert. Das Bundesministerium der Finanzen hat jedoch am 5. Juli 2012 verkündet, das gesamte Privatgeschäft mit Finanzprodukten zum Ende 2012 einzustellen. Dieser Aufsatz zeigt empirisch, dass sich (1) die am Euro Over Night Index Average (EONIA) orientierende Tagesanleihe hinsichtlich der Replikationsgüte zwischen dem untersten Rangplatz und dem Mittelfeld vergleichbarer EONIA-Exchange Traded Funds (ETFs) bewegt, und sich (2) die Performance von EONIA-ETFs (auf individueller Ebene und Portfolioebene) durchgehend besser als die der Tagesanleihe darstellt.

Suggested Citation

  • Sebastian Lobe & Christoph Schmidhammer & Jennifer Pickel, 2013. "Don’t Cry for Me Germania?," Schmalenbach Journal of Business Research, Springer, vol. 65(7), pages 688-706, December.
    • Handle: RePEc:spr:sjobre:v:65:y:2013:i:7:d:10.1007_bf03372889
    DOI: 10.1007/BF03372889
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/BF03372889
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1007/BF03372889?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Victor DeMiguel & Lorenzo Garlappi & Raman Uppal, 2009. "Optimal Versus Naive Diversification: How Inefficient is the 1-N Portfolio Strategy?," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1915-1953, May.
    2. Kirby, Chris & Ostdiek, Barbara, 2012. "It’s All in the Timing: Simple Active Portfolio Strategies that Outperform Naïve Diversification," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(2), pages 437-467, April.
    3. Shin, Sangheon & Soydemir, Gökçe, 2010. "Exchange-traded funds, persistence in tracking errors and information dissemination," Journal of Multinational Financial Management, Elsevier, vol. 20(4-5), pages 214-234, December.
    4. Gerasimos G Rompotis, 2009. "Interfamily competition on index tracking: The case of the vanguard ETFs and index funds," Journal of Asset Management, Palgrave Macmillan, vol. 10(4), pages 263-278, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rad, Hossein & Low, Rand Kwong Yew & Miffre, Joëlle & Faff, Robert, 2020. "Does sophistication of the weighting scheme enhance the performance of long-short commodity portfolios?," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 164-180.
    2. Santos, André A.P. & Torrent, Hudson S., 2022. "Markowitz meets technical analysis: Building optimal portfolios by exploiting information in trend-following signals," Finance Research Letters, Elsevier, vol. 49(C).
    3. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2020. "Integrated dynamic models for hedging international portfolio risks," European Journal of Operational Research, Elsevier, vol. 285(1), pages 48-65.
    4. Bazgour, Tarik & Heuchenne, Cedric & Sougné, Danielle, 2016. "Conditional portfolio allocation: Does aggregate market liquidity matter?," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 110-135.
    5. Fuertes, Ana-Maria & Zhao, Nan, 2022. "A Bayesian Perspective on Commodity Style Integration," MPRA Paper 117831, University Library of Munich, Germany, revised 2023.
    6. Wang, Chou-Wen & Liu, Kai & Li, Bin & Tan, Ken Seng, 2022. "Portfolio optimization under multivariate affine generalized hyperbolic distributions," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 49-66.
    7. Lassance, Nathan & Vanderveken, Rodolphe & Vrins, Frédéric, 2022. "On the optimal combination of naive and mean-variance portfolio strategies," LIDAM Discussion Papers LFIN 2022006, Université catholique de Louvain, Louvain Finance (LFIN).
    8. Wolff, Dominik & Bessler, Wolfgang & Opfer, Heiko, 2012. "Multi-Asset Portfolio Optimization and Out-of-Sample Performance: An Evaluation of Black-Litterman, Mean Variance and Naïve Diversification Approaches," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62020, Verein für Socialpolitik / German Economic Association.
    9. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Papers 2107.13866, arXiv.org.
    10. Qiao, W. & Bu, D. & Gibberd, A. & Liao, Y. & Wen, T. & Li, E., 2023. "When “time varying” volatility meets “transaction cost” in portfolio selection," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 220-237.
    11. Florian Methling & Rüdiger Nitzsch, 2019. "Naïve diversification in thematic investing: heuristics for the core satellite investor," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 568-580, December.
    12. Chavez-Bedoya, Luis & Rosales, Francisco, 2021. "Reduction of estimation risk in optimal portfolio choice using redundant constraints," International Review of Financial Analysis, Elsevier, vol. 78(C).
    13. Herz, Christian & Neunert, Daniela & Will, Sebastian & Wolf, Niko J. & Zwick, Tobias, 2012. "Portfolioallokation: Einbezug verschiedener Assetklassen," Bayreuth Working Papers on Finance, Accounting and Taxation (FAcT-Papers) 2012-01, University of Bayreuth, Chair of Finance and Banking.
    14. Santos, André Alves Portela & Ferreira, Alexandre R., 2017. "On the choice of covariance specifications for portfolio selection problems," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(1), May.
    15. Cheng Yan & Ji Yan, 2021. "Optimal and naive diversification in an emerging market: Evidence from China's A‐shares market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3740-3758, July.
    16. Johannes Bock, 2018. "An updated review of (sub-)optimal diversification models," Papers 1811.08255, arXiv.org.
    17. Fletcher, Jonathan & Basu, Devraj, 2016. "An examination of the benefits of dynamic trading strategies in U.K. closed-end funds," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 109-118.
    18. Irina Murtazashvili & Nadia Vozlyublennaia, 2013. "Diversification Strategies: Do Limited Data Constrain Investors?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(2), pages 215-232, June.
    19. Markus Hirschberger & Ralph E. Steuer & Sebastian Utz & Maximilian Wimmer & Yue Qi, 2013. "Computing the Nondominated Surface in Tri-Criterion Portfolio Selection," Operations Research, INFORMS, vol. 61(1), pages 169-183, February.
    20. Hwang, Inchang & Xu, Simon & In, Francis, 2018. "Naive versus optimal diversification: Tail risk and performance," European Journal of Operational Research, Elsevier, vol. 265(1), pages 372-388.

    More about this item

    Keywords

    D14; G12; G11;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sjobre:v:65:y:2013:i:7:d:10.1007_bf03372889. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.