Correlation, Network and Multifractal Analysis of Global Financial Indices

We apply RMT, Network and MF-DFA methods to investigate correlation, network and multifractal properties of 20 global financial indices. We compare results before and during the financial crisis of 2008 respectively. We find that the network method gives more useful information about the formation of clusters as compared to results obtained from eigenvectors corresponding to second largest eigenvalue and these sectors are formed on the basis of geographical location of indices. At threshold 0.6, indices corresponding to Americas, Europe and Asia/Pacific disconnect and form different clusters before the crisis but during the crisis, indices corresponding to Americas and Europe are combined together to form a cluster while the Asia/Pacific indices forms another cluster. By further increasing the value of threshold to 0.9, European countries France, Germany and UK constitute the most tightly linked markets. We study multifractal properties of global financial indices and find that financial indices corresponding to Americas and Europe almost lie in the same range of degree of multifractality as compared to other indices. India, South Korea, Hong Kong are found to be near the degree of multifractality of indices corresponding to Americas and Europe. A large variation in the degree of multifractality in Egypt, Indonesia, Malaysia, Taiwan and Singapore may be a reason that when we increase the threshold in financial network these countries first start getting disconnected at low threshold from the correlation network of financial indices. We fit Binomial Multifractal Model (BMFM) to these financial markets.Comment: 32 pages, 25 figures, 1 tabl

Complex dynamics of financial indices

This paper presents a novel method for the analysis of nonlinear financial and economic systems. The modeling approach integrates the classical concepts of state space representation and time series regression. The analytical and numerical scheme leads to a parameter space representation that constitutes a valid alternative to represent the dynamical behavior. The results reveal that business cycles can be clearly revealed, while the noise effects common in financial indices can elegantly be filtered out of the results

The rate of using financial and non-financial indices in performance measurement of power distribution company in Markazi Province

According to conventional assessment indices of institutions or financial indices, balanced scorecard pays attention to non-financial indices which are mainly control and log indicators. In this direction, while having a close relationship between these two indices i.e. financial and non- financial indices, we are trying to verify organization objectives and strategies by applying all facilities and aptitudes of organization towards a main perspective. The function of different parts of organization is constantly evaluated by four perspectives of balanced scorecard including financial perspective, customer’s perspective, internal processes and developing and learning, and finally their development and improvement is tested

Finite-time singularity in the dynamics of the world population, economic and financial indices

Contrary to common belief, both the Earth's human population and its economic output have grown faster than exponential, i.e., in a super-Malthusian mode, for most of the known history. These growth rates are compatible with a spontaneous singularity occuring at the same critical time 2052 +- 10 signaling an abrupt transition to a new regime. The degree of abruptness can be infered from the fact that the maximum of the world population growth rate was reached in 1970, i.e., about 80 years before the predicted singular time, corresponding to approximately 4% of the studied time interval over which the acceleration is documented. This rounding-off of the finite-time singularity is probably due to a combination of well-known finite-size effects and friction and suggests that we have already entered the transition region to a new regime. In theoretical support, a multivariate analysis coupling population, capital, R&D and technology shows that a dramatic acceleration in the population during most of the timespan can occur even though the isolated dynamics do not exhibit it. Possible scenarios for the cross-over and the new regime are discussed. Nottale, Chaline and Grou have recently independently applied a log-periodic analysis to the main crises of different civilisations. It is striking that these two independent analyses based on a different data set gives a critical time which is compatible within the error bars.Comment: 29 pages including 37 figures, addition of a Note Added in Proofs connecting with the independent analysis of Nottale, Chaline and Grou of economic crises and of the evolution of different civilisation

The rate of using financial and non-financial indices in performance measurement of power distribution company in Markazi Province

According to conventional assessment indices of institutions or financial indices, balanced scorecard pays attention to non-financial indices which are mainly control and log indicators. In this direction, while having a close relationship between these two indices i.e. financial and non- financial indices, we are trying to verify organization objectives and strategies by applying all facilities and aptitudes of organization towards a main perspective. The function of different parts of organization is constantly evaluated by four perspectives of balanced scorecard including financial perspective, customer’s perspective, internal processes and developing and learning, and finally their development and improvement is tested