Correlations in the bond-future market
Physica A 269, 90 (1999).
G. Cuniberti, M. Raberto, and E. Scalas.
Journal DOI: https://doi.org/10.1016/S0378-4371(99)00083-7

We analyze the time series of overnight returns for the bund and btp futures exchanged at LIFFE (London). The overnight returns of both assets are mapped onto a one-dimensional symbolic-dynamics random walk: The `bond walk'. During the considered period (October 1991 - January 1994) the bund-future market opened earlier than the btp-future one. The crosscorrelations between the two bond walks, as well as estimates of the conditional probability, show that they are not independent; however each walk can be modeled by means of a trinomial probability distribution. Monte Carlo simulations confirm that it is necessary to take into account the bivariate dependence in order to properly reproduce the statistical properties of the real-world data. Various investment strategies have been devised to exploit the `prior' information obtained by the aforementioned analysis.


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Correlations in the bond-future market
Physica A 269, 90 (1999).
G. Cuniberti, M. Raberto, and E. Scalas.
Journal DOI: https://doi.org/10.1016/S0378-4371(99)00083-7

We analyze the time series of overnight returns for the bund and btp futures exchanged at LIFFE (London). The overnight returns of both assets are mapped onto a one-dimensional symbolic-dynamics random walk: The `bond walk'. During the considered period (October 1991 - January 1994) the bund-future market opened earlier than the btp-future one. The crosscorrelations between the two bond walks, as well as estimates of the conditional probability, show that they are not independent; however each walk can be modeled by means of a trinomial probability distribution. Monte Carlo simulations confirm that it is necessary to take into account the bivariate dependence in order to properly reproduce the statistical properties of the real-world data. Various investment strategies have been devised to exploit the `prior' information obtained by the aforementioned analysis.


Cover
©10.1016/S0378-4371(99)00083-7
Share


Involved Scientists