Network analysis of correlation strength between the most developed countries

@article{Miskiewicz2012NetworkAO,
  title={Network analysis of correlation strength between the most developed countries},
  author={Janusz Mi'skiewicz},
  journal={arXiv: Statistical Finance},
  year={2012}
}
  • J. Mi'skiewicz
  • Published 15 November 2012
  • Computer Science
  • arXiv: Statistical Finance
A new algorithm of the analysis of correlation among economy time series is proposed. The algorithm is based on the power law classification scheme (PLCS) followed by the analysis of the network on the percolation threshold (NPT). The algorithm was applied to the analysis of correlations among GDP per capita time series of 19 most developed countries in the periods (1982, 2011), (1992, 2011) and (2002, 2011). The representative countries with respect to strength of correlation, convergence of… 
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References

SHOWING 1-10 OF 43 REFERENCES

Analysis of Time Series Correlation. The Choice of Distance Metrics and Network Structure

It is showed that MD allows to investigate a broader class of correlation and is more robust to the noise influence and was used to construct entropy distance, which was applied to the analysis of correlation between subset of WIG20 and S&P500 companies.

Distance matrix method for network structure analysis

The distance matrix method allows to analyze the structure of the market, and therefore, simplifies the choice of shares, and should be tackled before portfolio optimization.

Entropy Correlation Distance Method Applied to Study Correlations between the Gross Domestic Product of Rich Countries

The Theil index is much used in economy and finance; it looks like the Shannon entropy, but pertains to event values rather than to their probabilities, which is considered to be a proof of globalization of the economy for these countries.

Dynamics and Structure of the 30 Largest North American Companies

From the analysis of time series data of companies included in Dow Jones Industrial Average, a hierarchical organization of companies is derived which can be used to study deep relationships among different branch of economic activities and to construct financial portfolios.

Rank-correlations and value-correlations of Gross Domestic Product per Capita in Latin American countries

This work describes a method for searching for globalization evidence within Latin American countries using correlation networks methods. Two correlation measures are used, one based on the usual