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Arbitrage und die Gültigkeit des Barwertprinzips im Markt für Bundeswertpapiere

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  • Stefan Jaschke

    (Weierstraß-Institut für Angewandte Analysis und Stochastik)

  • Richard Stehle

    (Humboldt-Universität zu Berlin)

  • Stephan Wernicke

    (Bankgesellschaft Berlin AG)

Abstract

Summary The duality relation between arbitrage maximization and term structure regression suggests minimax regression. If short selling is possible, the arbitrage theory implies that the maximal fitting error is bounded by the size of transaction costs. If, on the other hand, short selling is not possible and capital gains and interest are taxed differently, then a tax clientele effect may exist and the present value equation may be inadequate as a regression equation. In the mid-eighties the price discrepancies among German government bonds are so large — compared to actual transaction costs that one can say that a single term structure that explains all prices of those bonds as present values does not exist. Imperfect data, round lot and short selling constraints cannot fully explain the observed price discrepancies. The size and persistence of the price discrepancies from the viewpoint of a tax-free investor suggests that the computation of implied zero bond prices from German government bonds in the whole period from 1977 to 1996 is incomplete without the consideration of taxes.

Suggested Citation

  • Stefan Jaschke & Richard Stehle & Stephan Wernicke, 2000. "Arbitrage und die Gültigkeit des Barwertprinzips im Markt für Bundeswertpapiere," Schmalenbach Journal of Business Research, Springer, vol. 52(5), pages 440-468, August.
  • Handle: RePEc:spr:sjobre:v:52:y:2000:i:5:d:10.1007_bf03372625
    DOI: 10.1007/BF03372625
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    References listed on IDEAS

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    1. Chambers, Donald R. & Carleton, Willard T. & Waldman, Donald W., 1984. "A New Approach to Estimation of the Term Structure of Interest Rates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 19(3), pages 233-252, September.
    2. Vasicek, Oldrich A & Fong, H Gifford, 1982. "Term Structure Modeling Using Exponential Splines," Journal of Finance, American Finance Association, vol. 37(2), pages 339-348, May.
    3. McCulloch, J Huston, 1971. "Measuring the Term Structure of Interest Rates," The Journal of Business, University of Chicago Press, vol. 44(1), pages 19-31, January.
    4. Ronn, Ehud I., 1987. "A New Linear Programming Approach to Bond Portfolio Management," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(4), pages 439-466, December.
    5. Stehle, Richard & Jaschke, Stefan R. & Wernicke, S., 1998. "Tax clientele effects in the German bond market," SFB 373 Discussion Papers 1998,11, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    6. Dermody, Jaime Cuevas & Prisman, Eliezer Z., 1993. "No Arbitrage and Valuation in Markets with Realistic Transaction Costs," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(1), pages 65-80, March.
    7. Jaime Cuevas Dermody & R. Tyrrell Rockafellar, 1991. "Cash Stream Valuation In the Face of Transaction Costs and Taxes," Mathematical Finance, Wiley Blackwell, vol. 1(1), pages 31-54, January.
    8. George M. CONSTANTINIDES & Jonathan E. INGERSOLL Jr., 2005. "Optimal Bond Trading With Personal Taxes," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 6, pages 165-206, World Scientific Publishing Co. Pte. Ltd..
    9. Katz, Eliakim & Prisman, Eliezer Z., 1991. "Arbitrage, Clientele Effects, and the Term Structure of Interest Rates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 26(4), pages 435-443, December.
    10. Jaime Cuevas Dermody & R. Tyrrell Rockafellar, 1995. "Tax Basis And Nonlinearity In Cash Stream Valuation," Mathematical Finance, Wiley Blackwell, vol. 5(2), pages 97-119, April.
    11. Basma Bekdache & Christopher F. Baum, 1994. "Comparing Alternative Models of the Term Structure of Interest Rates," Boston College Working Papers in Economics 271, Boston College Department of Economics.
    12. Jordan, James V, 1984. "Tax Effects in Term Structure Estimation," Journal of Finance, American Finance Association, vol. 39(2), pages 393-406, June.
    13. Dermody, Jaime Cuevas & Prisman, Eliezer Zeev, 1988. " Term Structure Multiplicity and Clientele in Markets with Transactions Costs and Taxes," Journal of Finance, American Finance Association, vol. 43(4), pages 893-911, September.
    14. McCulloch, J Huston, 1975. "The Tax-Adjusted Yield Curve," Journal of Finance, American Finance Association, vol. 30(3), pages 811-830, June.
    15. Prisman, Eliezer Z., 1990. "A Unified Approach to Term Structure Estimation: A Methodology for Estimating the Term Structure in a Market with Frictions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(1), pages 127-142, March.
    16. Hodges, S. D. & Schaefer, S. M., 1977. "A Model for Bond Portfolio Improvement," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(2), pages 243-260, June.
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    1. Helmut Gründl & Richard Stehle & Thorsten Waldow, 2003. "Zur Vorteilhaftigkeit von Kapitallebensversicherungen gegenüber alternativen Anlageformen — Eine Analyse aus Anlegersicht," Schmalenbach Journal of Business Research, Springer, vol. 55(6), pages 549-577, September.

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