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A Derivative of Digital Objects and Estimation of Default Risks in Electronic Commerce

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Information and Communications Security (ICICS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2229))

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Abstract

In electronic commerce, traded digital objects are likely associated with several numerical values as well as their prices. These values may change unpredictably over time and bring risks both to the providers and to the consumers of the application. One possible strategy for hedging the risks is to introduce derivatives regarding the uncertain values. This paper shows a theoretical pricing equation of the derivatives when the underlying digital objects have systematic default or revocation risks. We can make use of this pricing to estimate the risks.

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Author information

Authors and Affiliations

  1. Institute of Industrial Science, University of Tokyo, Komaba 4-6-1 Meguro-ku, 153-8505, Tokyo, Japan

    Kanta Matsuura

Authors
  1. Kanta Matsuura
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Editor information

Editors and Affiliations

  1. Engineering Research Center for Information Security Technology (ERCIST), Chinese Academy of Sciences, P.O. Box 8718, 100080, Beijing, China

    Sihan Qing

  2. NTT Labs, 1-1 Hikarinooka, 239-0847, Yokosuka-shi, Japan

    Tatsuaki Okamoto

  3. Oracle Corporation, 500 Oracle Parkway, 94065, Redwood Shores, CA, USA

    Jianying Zhou

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© 2001 Springer-Verlag Berlin Heidelberg

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Matsuura, K. (2001). A Derivative of Digital Objects and Estimation of Default Risks in Electronic Commerce. In: Qing, S., Okamoto, T., Zhou, J. (eds) Information and Communications Security. ICICS 2001. Lecture Notes in Computer Science, vol 2229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45600-7_11

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  • DOI: https://doi.org/10.1007/3-540-45600-7_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42880-0

  • Online ISBN: 978-3-540-45600-1

  • eBook Packages: Springer Book Archive

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