activity
19962026
most citedHierarchical Structure in Financial Markets

2.1k citations · 7.3k across the 77 of their papers we have counts for

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Showing 2002Show all

6 papers · 1 filter

cond-mat.stat-mech2002★ 128 cited

Degree stability of a minimum spanning tree of price return and volatility

Salvatore Miccichè, Giovanni Bonanno, Fabrizio Lillo +1

We investigate the time series of the degree of minimum spanning trees obtained by using a correlation based clustering procedure which is starting from (i) asset return and (ii) v…

cond-mat.stat-mech2002★ 463 cited

Topology of correlation based minimal spanning trees in real and model markets

Giovanni Bonanno, Guido Caldarelli, Fabrizio Lillo +1

We present here a topological characterization of the minimal spanning tree that can be obtained by considering the price return correlations of stocks traded in a financial market…

cond-mat.stat-mech2002★ 1 cited

Dynamics of a financial market index after a crash

Fabrizio Lillo, Rosario N. Mantegna

We discuss the statistical properties of index returns in a financial market just after a major market crash. The observed non-stationary behavior of index returns is characterized…

cond-mat.stat-mech2002★ 32 cited

Single Curve Collapse of the Price Impact Function for the New York Stock Exchange

Fabrizio Lillo, J. Doyne Farmer, Rosario N. Mantegna

We study the average price impact of a single trade executed in the NYSE. After appropriate averaging and rescaling, the data for the 1000 most highly capitalized stocks collapse o…

cond-mat.stat-mech2002★ 1 cited

Long-range correlated stationary Markovian processes

Fabrizio Lillo, Salvatore Micciche', Rosario N. Mantegna

We introduce a new class of stochastic processes which are stationary, Markovian and characterized by an infinite range of time-scales. By transforming the Fokker-Planck equation o…

cond-mat.stat-mech2002★ 96 cited

Volatility in Financial Markets: Stochastic Models and Empirical Results

Salvatore Micciche`, Giovanni Bonanno, Fabrizio Lillo +1

We investigate the historical volatility of the 100 most capitalized stocks traded in US equity markets. An empirical probability density function (pdf) of volatility is obtained a…