Hierarchical structures in the Gross Domestic Product per capita fluctuation in Latin American countries

Redelico, Francisco O.; Proto, A. N.; Ausloos, Marcel

doi:10.1016/j.physa.2009.05.033

Cited by 20 publications

(17 citation statements)

References 13 publications

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“…A principal component analysis has further been applied in order to observe and corroborate whether a country clustering structure truly exists (Redelico et al 2009), and the results confirmed previously expected results.…”

Section: Economics: Gross Domestic Product and Other Macroeconomic Insupporting

confidence: 77%

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Complexity and Geographical Economics

Commendatore¹,

Kayam²,

Kubin³

2015

Dynamic Modeling and Econometrics in Economics and Finance

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Section: Economics: Gross Domestic Product and Other Macroeconomic Insupporting

confidence: 77%

“…A new methodological framework for investigating macroeconomic time series has been introduced in Redelico et al (2009), based on a non-linear correlation coefficient. Features related directly to the Latin American, rather than EU, countries have been described, i.e.…”

Section: Economics: Gross Domestic Product and Other Macroeconomic Inmentioning

confidence: 99%

Complexity and Geographical Economics

Commendatore¹,

Kayam²,

Kubin³

2015

Dynamic Modeling and Econometrics in Economics and Finance

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“…One can mention, among other works, Redelico et al (2009) and Gligor and Ausloos (2007) who used the Student's t-test; Clippe and Ausloos (2012) and Mir et al (2014) who used a chi-square test; and also Queiros (2005), Zanin et al (2012), Theiler et al (1992) or Morales et al (2013). However, as some econophysicists pointed out, "better and more careful testing is needed, and that too much of data analysis in this area relies on visual inspection alone" (Farmer & Geanakoplos, 2008, p. 24).…”

Section: V) Can One Give Up Emh?mentioning

confidence: 96%

On the “usual” misunderstandings between econophysics and finance: Some clarifications on modelling approaches and efficient market hypothesis

Ausloos

Jovanovic

Schınckus

2016

International Review of Financial Analysis

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In line with the recent research and debates about econophysics and financial economics, this article discusses on usual misunderstandings between the two disciplines in terms of modelling and basic hypotheses. In the literature devoted to econophysics, the methodology used by financial economists is frequently considered as a top-down approach (starting from a priori "first principles") while econophysicists rather present themselves as scholars working with a (empirical data prone) bottom-up approach. Although this dualist perspective is very common in the econophysics literature, this paper claims that the distinction is very confusing and does not permit to reveal the essence of the differences between finance and econophysics. The distinction between these two fields is mainly investigated here through the lens of the Efficient Market Hypothesis in order to show that, in substance, econophysics and financial economics tend to have a similar approach implying that the misunderstanding between these two fields at the modelling level can therefore be overstepped.JEL classification: G1, B4, B5

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“…[42] or Ref. [56]. This is due to the low value of N ij , reflecting the low GCC value for the whole network, i.e.…”

Section: Average Overlap Indexmentioning

confidence: 99%

Organization of networks with tagged nodes and biased links: A priori distinct communities

Rotundo¹,

Ausloos²

2010

Physica A: Statistical Mechanics and its Applications

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a b s t r a c tAmong the topics of opinion formation it is of interest to observe the characteristics of networks with a priori distinct communities. The citation network(s) between selected members of the Neocreationist and Intelligent Design and the Darwinian Evolution communities are unfolded through the available internet citations. The resulting adjacency matrix is not symmetric. A generalization of considerations pertaining to the case of networks with tagged nodes and biased links, directed or undirected, is presented. The main characteristic coefficients describing the structure of such networks are outlined. The structural features are discussed searching for statistical aspects of the communities. The degree distributions, each network's assortativity, specific global and local clustering coefficients and the Average Overlap Indices are especially calculated since the distribution of elements in the rectangular submatrices represent inter-community connections. The various closed and open triangles made from nodes, distinguishing the community, are listed. The z-scores of patterns are calculated. One can distinguish between opinion leaders, followers and main rivals and briefly interpret their relationships through intuitively expected behavior in defence of an opinion. Suggestions for more elaborate models describing such communities and their subsequent structures are found in conclusions.

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Hierarchical structures in the Gross Domestic Product per capita fluctuation in Latin American countries

Cited by 20 publications

References 13 publications

Complexity and Geographical Economics

Complexity and Geographical Economics

On the “usual” misunderstandings between econophysics and finance: Some clarifications on modelling approaches and efficient market hypothesis

Organization of networks with tagged nodes and biased links: A priori distinct communities

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