activity
19952010
most citedRobustness of interdependent networks under targeted attack

532 citations · 3.1k across the 44 of their papers we have counts for

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6 papers · 1 filter

q-fin.ST2009101 cited

The Size Variance Relationship of Business Firm Growth Rates

Massimo Riccaboni, Fabio Pammolli, Sergey V. Buldyrev +2

The relationship between the size and the variance of firm growth rates is known to follow an approximate power-law behavior where is the firm size and $β…

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.ST200735 cited

Volatility return intervals analysis of the Japanese market

Woo-Sung Jung, Fengzhong Wang, Shlomo Havlin +3

We investigate scaling and memory effects in return intervals between price volatilities above a certain threshold for the Japanese stock market using daily and intraday data s…

q-fin.ST2007142 cited

Modeling long-range cross-correlations in two-component ARFIMA and FIARCH processes

Boris Podobnik, Davor Horvatic, Alfonso Lam Ng +2

We investigate how simultaneously recorded long-range power-law correlated multi-variate signals cross-correlate. To this end we introduce a two-component ARFIMA stochastic process…

q-fin.ST200740 cited

Group dynamics of the Japanese market

Woo-Sung Jung, Okyu Kwon, Fengzhong Wang +3

We investigated the network structures of the Japanese stock market through the minimum spanning tree. We defined grouping coefficient to test the validity of conventional grouping…

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…