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Buy Low, Sell High

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Algorithmic Learning Theory (ALT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7568))

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Abstract

We consider online trading in a single security with the objective of getting rich when its price ever exhibits a large upcrossing without risking bankruptcy. We investigate payoff guarantees that are expressed in terms of the extremity of the upcrossings. We obtain an exact and elegant characterisation of the guarantees that can be achieved. Moreover, we derive a simple canonical strategy for each attainable guarantee.

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References

  1. Dawid, A.P., de Rooij, S., Grünwald, P., Koolen, W.M., Shafer, G., Shen, A., Vereshchagin, N., Vovk, V.: Probability-free pricing of adjusted American lookbacks. ArXiv e-prints (August 2011)

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  2. Koolen, W.M., de Rooij, S.: Switching Investments. In: Hutter, M., Stephan, F., Vovk, V., Zeugmann, T. (eds.) Algorithmic Learning Theory. LNCS (LNAI), vol. 6331, pp. 239–254. Springer, Heidelberg (2010), http://www.cwi.nl/~wmkoolen/switching_investments.pdf

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  3. Koolen, W.M., de Rooij, S.: Switching investments. Theoretical Computer Science (2012); The Special Issue on Hutter, M., Stephen, F., Vork,V., Zeugmann, T. (eds.) ALT 2010. LNCS (LNAI), vol. 6331, pp. 239–257. Springer, Heidelberg (2010)

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  4. Vovk, V.: Continuous-time trading and the emergence of probability. Tech. rep., Royal Holloway, University of London (2010), http://arxiv.org/abs/0904.4364

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© 2012 Springer-Verlag Berlin Heidelberg

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Koolen, W.M., Vovk, V. (2012). Buy Low, Sell High. In: Bshouty, N.H., Stoltz, G., Vayatis, N., Zeugmann, T. (eds) Algorithmic Learning Theory. ALT 2012. Lecture Notes in Computer Science(), vol 7568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34106-9_27

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  • DOI: https://doi.org/10.1007/978-3-642-34106-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34105-2

  • Online ISBN: 978-3-642-34106-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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