activity
19982004
most citedUniversal and non-universal properties of cross-correlations in financial time series

1k citations · 5.8k across the 14 of their papers we have counts for

collaborators

14 papers

cond-mat.dis-nn2004

On the Origin of Power-Law Fluctuations in Stock Prices

Vasiliki Plerou, Parameswaran Gopikrishnan, Xavier Gabaix +1

We respond to the issues discussed by Farmer and Lillo (FL) related to our proposed approach to understanding the origin of power-law distributions in stock price fluctuations. Fir…

cond-mat.stat-mech2001★ 49 cited

Portfolio Optimization and the Random Magnet Problem

B. Rosenow, V. Plerou, P. Gopikrishnan +1

Diversification of an investment into independently fluctuating assets reduces its risk. In reality, movement of assets are are mutually correlated and therefore knowledge of cross…

cond-mat.stat-mech2001★ 7 cited

Symmetry Breaking in Stock Demand

Vasiliki Plerou, Parameswaran Gopikrishnan, H. Eugene Stanley

Scale-free distributions and correlation functions found in financial data are reminiscent of the scale invariance of physical observables in the vicinity of a critical point. Here…

cond-mat.stat-mech2001★ 946 cited

A Random Matrix Approach to Cross-Correlations in Financial Data

V. Plerou, P. Gopikrishnan, B. Rosenow +3

We analyze cross-correlations between price fluctuations of different stocks using methods of random matrix theory (RMT). Using two large databases, we calculate cross-correlation…

cond-mat.stat-mech2001★ 236 cited

Quantifying Stock Price Response to Demand Fluctuations

Vasiliki Plerou, Parameswaran Gopikrishnan, Xavier Gabaix +1

We address the question of how stock prices respond to changes in demand. We quantify the relations between price change over a time interval and two different measures of…

cond-mat.stat-mech2000★ 25 cited

Identifying Business Sectors from Stock Price Fluctuations

Parameswaran Gopikrishnan, Bernd Rosenow, Vasiliki Plerou +1

Firms having similar business activities are correlated. We analyze two different cross-correlation matrices C constructed from (i) 30-min price fluctuations of 1000 US stocks for…

cond-mat.stat-mech2000★ 325 cited

Statistical Properties of Share Volume Traded in Financial Markets

Parameswaran Gopikrishnan, Vasiliki Plerou, Xavier Gabaix +1

We quantitatively investigate the ideas behind the often-expressed adage `it takes volume to move stock prices', and study the statistical properties of the number of shares traded…

cond-mat.stat-mech1999★ 269 cited

Economic Fluctuations and Diffusion

Vasiliki Plerou, Parameswaran Gopikrishnan, Luis. A. Nunes Amaral +2

Stock price changes occur through transactions, just as diffusion in physical systems occurs through molecular collisions. We systematically explore this analogy and quantify the r…

cond-mat.stat-mech1999★ 546 cited

Scaling of the distribution of price fluctuations of individual companies

V. Plerou, P. Gopikrishnan, L. A. N. Amaral +2

We present a phenomenological study of stock price fluctuations of individual companies. We systematically analyze two different databases covering securities from the three major…

cond-mat.stat-mech1999★ 165 cited

Ivory Tower Universities and Competitive Business Firms

Vasiliki Plerou, Luis A. Nunes Amaral, Parameswaran Gopikrishnan +2

There is nowadays considerable interest on ways to quantify the dynamics of research activities, in part due to recent changes in research and development (R&D) funding. Here, we s…

cond-mat.stat-mech1999★ 895 cited

Scaling of the distribution of fluctuations of financial market indices

Parameswaran Gopikrishnan, Vasiliki Plerou, Luis A. Nunes Amaral +2

We study the distribution of fluctuations over a time scale (i.e., the returns) of the S&P 500 index by analyzing three distinct databases. Database (i) contains approximately…

cond-mat.stat-mech1999★ 731 cited

The statistical properties of the volatility of price fluctuations

Yanhui Liu, Parameswaran Gopikrishnan, Pierre Cizeau +3

We study the statistical properties of volatility---a measure of how much the market is likely to fluctuate. We estimate the volatility by the local average of the absolute price c…

cond-mat.stat-mech1999★ 1k cited

Universal and non-universal properties of cross-correlations in financial time series

Vasiliki Plerou, Parameswaran Gopikrishnan, Bernd Rosenow +2

We use methods of random matrix theory to analyze the cross-correlation matrix C of price changes of the largest 1000 US stocks for the 2-year period 1994-95. We find that the stat…

cond-mat.stat-mech1998★ 594 cited

Inverse Cubic Law for the Probability Distribution of Stock Price Variations

Parameswaran Gopikrishnan, Martin Meyer, Luis A Nunes Amaral +1

The probability distribution of stock price changes is studied by analyzing a database (the Trades and Quotes Database) documenting every trade for all stocks in three major US sto…