Giovedì 22 Giugno
Valentina Alfi
Complex Dynamics and Hidden Forces in NYSE Stock-Prices
ore 11:40
Università di Roma - La Sapienza

Abstract

The possibility that price dynamics is affected by its distance from a moving average has been recently introduced as new statistical tool [1]. The purpose is to identify the tendency of the price dynamics to be attractive or repulsive with respect to its own moving average. We consider a number of tests for various models which clarify the advantages and limitations of this new approach [2]. The analysis leads to the identification of an effective potential with respect to the moving average. The study of various model systems shows that this approach is indeed suitable to detect hidden forces in the market which go beyond usual correlations and volatility clustering. In addition, we use this method to study the different behaviors which arise in agent based models and to analyze the price dynamic of data from NYSE stock-market.

[1] M.Takayasu, T. Mizuno, H. Takayasu, [physics/0509020], 2006.

[2] V. Alfi, F. Coccetti, M. Marotta, M. Takayasu, [physics/0601089], Physica A, in press, 2006.