Competitive analysis of financial games

  • Authors:
  • R. El-Yaniv;A. Fiat;R. Karp;G. Turpin

  • Affiliations:
  • Toronto Univ., Ont., Canada;-;-;-

  • Venue:
  • SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
  • Year:
  • 1992

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Abstract

In the unidirectional conversion problem an on-line player is given the task of converting dollars to yen over some period of time. Each day, a new exchange rate is announced and the player must decide how many dollars to convert. His goal is to minimize the competitive ratio. defined as sup/sub E/ (P/sub OPT/(E)/P/sub X/E) where E ranges over exchange rate sequences. P/sub OPT/(E) is the number of yen obtained by an optimal off-line algorithm, and Px(E) is the number of yen obtained by the on-line algorithm X. The authors also consider a continuous version of the problem. in which the exchange rate varies over a continuous time interval. The on-line line players a priori information about the fluctuation of exchange rates distinguishes different variants of the problem. For three variants they show that a simple threat-based strategy is optimal for the on-line player and determine its competitive ratio. They also derive and analyze an optimal policy for the on-line player when he knows the probability distribution of the maximum value that the exchange rate will reach. Finally, they consider a bidirectional conversion problem, which the player may trade dollars for yen or yen for dollars.