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20032008
most citedIndication of multiscaling in the volatility return intervals of stock markets

63 citations · 220 across the 6 of their papers we have counts for

collaborators

8 papers

q-fin.ST200843 cited

Multifactor Analysis of Multiscaling in Volatility Return Intervals

Fengzhong Wang, Kazuko Yamasaki, Shlomo Havlin +1

We study the volatility time series of 1137 most traded stocks in the US stock markets for the two-year period 2001-02 and analyze their return intervals , which are time interv…

q-fin.ST200763 cited

Indication of multiscaling in the volatility return intervals of stock markets

Fengzhong Wang, Kazuko Yamasaki, Shlomo Havlin +1

The distribution of the return intervals between volatilities above a threshold for financial records has been approximated by a scaling behavior. To explore how accurate i…

physics.soc-ph200626 cited

A Generalized Preferential Attachment Model for Business Firms Growth Rates: II. Mathematical Treatment

S. V. Buldyrev, F. Pammolli, M. Riccaboni +4

We present a preferential attachment growth model to obtain the distribution of number of units in the classes which may represent business firms or other socio-economic…

physics.data-an200624 cited

A Generalized Preferential Attachment Model for Business Firms Growth Rates: I. Empirical Evidence

Fabio Pammolli, Dongfeng Fu, S. V. Buldyrev +4

We introduce a model of proportional growth to explain the distribution of business firm growth rates. The model predicts that is Laplace in the central part and depi…

physics.soc-ph2005

Scaling and memory of intraday volatility return intervals in stock market

Fengzhong Wang, Kazuko Yamasaki, Shlomo Havlin +1

We study the return interval between price volatilities that are above a certain threshold for 31 intraday datasets, including the Standard & Poor's 500 index and the 30 st…

physics.soc-ph2005

Statistical Properties of Demand Fluctuation in the Financial Market

Kaushik Matia, Kazuko Yamasaki

We examine the out-of-equilibrium phase reported by Plerou {\it et. al.} in Nature, {\bf 421}, 130 (2003) using the data of the New York stock market (NYSE) between the years 2001…