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Systematic tuning of optimal weighted-moving-average of yen-dollar market data

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Practical Fruits of Econophysics

Abstract

We introduce a weighted-moving-average analysis for the tick-by-tick data of yen-dollar exchange market: price, transaction interval and volatility. The weights are determined automatically for given data by applying the Yule-Walker formula for autoregressive model. Although the data are non-stationary the resulting moving average gives a quite nice property that the deviation around the moving-average becomes a white noise.

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References

  1. M.G. Lee, A. Oba, H. Takayasu, Parameter Estimation of a Generalized Langevin Equation of Market Price, in: H. Takayasu (Ed.), Empirical Science of Financial Fluctuations, Springer, 2002, 260–270.

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© 2006 Springer-Verlag Tokyo

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Ohnishi, T., Mizuno, T., Aihara, K., Takayasu, M., Takayasu, H. (2006). Systematic tuning of optimal weighted-moving-average of yen-dollar market data. In: Takayasu, H. (eds) Practical Fruits of Econophysics. Springer, Tokyo. https://doi.org/10.1007/4-431-28915-1_10

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