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Riesterrente im Vergleich: Eine Simulationsstudie zur Verteilung der Renditen

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  • Weber, Andreas
  • Wystup, Uwe

Abstract

Bei der Altersvorsorge von Privatanlegern boomt in der derzeitigen Marktsituation die Vermarktung von Riesterverträgen. Verschiedene Anbieter versuchen, sich diesen Markt zu erschließen. Neben den Versicherungen haben auch Banken und Investmentgesellschaften Angebote auf den Markt gebracht. In der vorliegenden Arbeit untersuchen wir vier repräsentative Beispiele von Riester-Rentenverträgen unter Berücksichtigung der Gebührenstrukturen und Anlagekonzepte der jeweiligen Anbieter: DWS Riesterrente Premium, AXA TwinStar Rente Invest, Nürnberger Fondsgebundene Zulagen-Rente Doppel- Invest und Allianz Riesterrente mit Fonds und Garantie. Wir simulieren über einen Anlagehorizont von 35 Jahren die Verteilungen des bei Renteneintritt zur Verfügung stehenden Kapitals. Den Verlauf eines internationalen Aktienportfolios simulieren wir mit einer Displaced-Double-Exponential Sprungdiffusion. Dabei werden optimistische, pessimistische und gemischte Szenarien sowie verschiedene Kundentypen betrachtet. Im Ergebnis zeigt sich, dass vor allem die Gebühren maßgeblich zum Erfolg der Anlage beitragen. Unter den Investitionsstrategien ist der CPPI-Ansatz der DWS und der Variable Annuity-Ansatz der AXA in nahezu allen Fällen anderen Strategien überlegen.

Suggested Citation

  • Weber, Andreas & Wystup, Uwe, 2008. "Riesterrente im Vergleich: Eine Simulationsstudie zur Verteilung der Renditen," CPQF Working Paper Series 12, Frankfurt School of Finance and Management, Centre for Practical Quantitative Finance (CPQF).
    • Handle: RePEc:zbw:cpqfwp:12
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    References listed on IDEAS

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    Cited by:

    1. Inklaar, Robert & Koetter, Michael & Noth, Felix, 2012. "Who's afraid of big bad banks? Bank competition, SME, and industry growth," Frankfurt School - Working Paper Series 197, Frankfurt School of Finance and Management.
    2. Dietmar Harhoff & Elisabeth Mueller & John Van Reenen, 2014. "What are the Channels for Technology Sourcing? Panel Data Evidence from German Companies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(1), pages 204-224, March.
    3. Boeing, Philipp & Mueller, Elisabeth & Sandner, Philipp, 2012. "What makes Chinese firms productive? Learning from indigenous and foreign sources of knowledge," Frankfurt School - Working Paper Series 196, Frankfurt School of Finance and Management.
    4. Weber, Andreas & Wystup, Uwe, 2008. "Vergleich von Anlagestrategien bei Riesterrenten ohne Berücksichtigung von Gebühren: Eine Simulationsstudie zur Verteilung der Renditen," CPQF Working Paper Series 13, Frankfurt School of Finance and Management, Centre for Practical Quantitative Finance (CPQF).
    5. Kostka, Genia & Moslener, Ulf & Andreas, Jan G., 2011. "Barriers to energy efficiency improvement: Empirical evidence from small-and-medium sized enterprises in China," Frankfurt School - Working Paper Series 178, Frankfurt School of Finance and Management.
    6. Yu, Xiaofan, 2011. "A spatial interpretation of the persistency of China's provincial inequality," Frankfurt School - Working Paper Series 171, Frankfurt School of Finance and Management.
    7. Böing, Philipp & Müller, Elisabeth, 2012. "Technological Capabilities of Chinese Enterprises: Who is Going to Compete Abroad?," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62081, Verein für Socialpolitik / German Economic Association.
    8. Tiffe, Achim & Feigl, Michael & Fritze, Jürgen & Götz, Veruschka & Grunert, Claudia & Jaroszek, Lena & Rohn, Ilonka, 2012. "Ausgestaltung eines Produktinformationsblatts für zertifizierte Altersvorsorge- und Basisrentenverträge," EconStor Research Reports 57575, ZBW - Leibniz Information Centre for Economics.

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    More about this item

    Keywords

    Altersvorsorge; Garantiefonds; Asset-Melt-down; Sparpläne; CPPI; Dynamic Hedging; Variable Annuities;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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