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A Random Matrix Approach To Volatility In An Indian Financial Market

  • V. Kulkarni
  • N. Deo
Part of the New Economic Windows book series (NEW)

Summary

The volatility of an Indian stock market is examined in terms of aspects like participation, synchronization of stocks and quantification of volatility using the random matrix approach. Volatility pattern of the market is found using the Bombay Stock Index for the three-year period 2000–2002. Random matrix analysis is carried out using daily returns of 70 stocks for several time windows of 85 days in 2001 to (i) do a brief comparative analysis with statistics of eigenvalues and eigenvectors of the matrix C of correlations between price fluctuations, in time regimes of different volatilities. While a bulk of eigenvalues falls within Random Matrix Theory bounds in all the time periods, we see that the largest (deviating) eigenvalue correlates well with the volatility of the index (ii) observe the corresponding eigenvector clearly shows a shift in the distribution of its components from volatile to less volatile periods and verifies the qualitative association between participation and volatility (iii) set up a variability index, V whose temporal evolution is found to be significantly correlated with the volatility of the overall market index.

Keywords

Random Matrix Large Eigenvalue Daily Return Variability Index Cross Correlation Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Italia 2006

Authors and Affiliations

  • V. Kulkarni
    • 1
  • N. Deo
    • 1
  1. 1.Department of Physics and AstrophysicsUniversity of DelhiDelhiIndia

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