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Complex temporal structure of activity in on-line electronic auctions

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  • Frantisek Slanina

Abstract

We analyze empirical data from the internet auction site Aukro.cz. The time series of activity shows truncated fractal structure on scales from about 1 minute to about 1 day. The distribution of waiting times as well as the distribution of number of auctions within fixed interval is a power law, with exponents $1.5$ and $3$, respectively. Possible implications for the modeling of stock-market fluctuations are briefly discussed.

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  • Frantisek Slanina, 2014. "Complex temporal structure of activity in on-line electronic auctions," Papers 1401.2860, arXiv.org.
    • Handle: RePEc:arx:papers:1401.2860
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    References listed on IDEAS

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    1. Alireza Namazi & Andreas Schadschneider, 2006. "Statistical Properties Of Online Auctions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(10), pages 1485-1493.
    2. František Slanina & Zdeněk Konopásek, 2010. "Eigenvector Localization As A Tool To Study Small Communities In Online Social Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(06), pages 699-723.
    3. Bouchaud,Jean-Philippe & Potters,Marc, 2003. "Theory of Financial Risk and Derivative Pricing," Cambridge Books, Cambridge University Press, number 9780521819169, January.
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