IDEAS home Printed from https://ideas.repec.org/a/rsr/journl/v65y2017i3p35-46.html
   My bibliography  Save this article

Hierarchies of Asociative Dynamics, Starting From Romania’s Macro-Economic Imbalances in the EU-28. What Does Romania’s Economic Evolution in the EU-28 Look Like?

Author

Listed:
  • Gheorghe SAVOIU

    (University of Pitesti)

  • Emilia GOGU

    (Bucharest University of Economic Studies)

  • Marian TAICU

    (University of Pitesti)

Abstract

The authors’ answer to the second part of the title question is a threefold offer. First of all, they propose to improve the classic statistical ranking methods by capitalizing on the dynamic support of data series that are essentialized by the correlation or association ratio, as a structuring variable. Secondly, they provide an original method of ranking or hierarchizing a set of associative dynamics, or correlative evolutions. Lastly, they offer a disaggregation into partial equilibria turned into the analysis criteria of the general equilibrium theory through Nicholas Kaldor’s magical square, which became the magic rectangle of Lionel Stoléru’s strategy. All these three contributions are made in the standardized format of the sections of a paper of economic, statistical and econometric research.

Suggested Citation

  • Gheorghe SAVOIU & Emilia GOGU & Marian TAICU, 2017. "Hierarchies of Asociative Dynamics, Starting From Romania’s Macro-Economic Imbalances in the EU-28. What Does Romania’s Economic Evolution in the EU-28 Look Like?," Romanian Statistical Review, Romanian Statistical Review, vol. 65(3), pages 35-46, September.
  • Handle: RePEc:rsr:journl:v:65:y:2017:i:3:p:35-46
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/wp-content/uploads/2017/09/RRS-3_2017_A3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas Kaldor, 1939. "Speculation and Economic Stability," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 7(1), pages 1-27.
    2. Săvoiu, Gheorghe, 2008. "The scientifiv way of thinking in statistics, statistical physics and quantum mechanics," MPRA Paper 13558, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mauro Boianovsky, 2004. "The IS-LM Model and the Liquidity Trap Concept: From Hicks to Krugman," History of Political Economy, Duke University Press, vol. 36(5), pages 92-126, Supplemen.
    2. Guillermo Llorente & Jiang Wang, 2020. "Trading and information in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(8), pages 1231-1263, August.
    3. Kang, Wenjin & Tang, Ke & Wang, Ningli, 2023. "Financialization of commodity markets ten years later," Journal of Commodity Markets, Elsevier, vol. 30(C).
    4. Guo, Kevin & Leung, Tim, 2017. "Understanding the non-convergence of agricultural futures via stochastic storage costs and timing options," Journal of Commodity Markets, Elsevier, vol. 6(C), pages 32-49.
    5. Silvério, Renan & Szklo, Alexandre, 2012. "The effect of the financial sector on the evolution of oil prices: Analysis of the contribution of the futures market to the price discovery process in the WTI spot market," Energy Economics, Elsevier, vol. 34(6), pages 1799-1808.
    6. Misund, Bård & Oglend, Atle, 2016. "Supply and demand determinants of natural gas price volatility in the U.K.: A vector autoregression approach," Energy, Elsevier, vol. 111(C), pages 178-189.
    7. Rau-Bredow, Hans, 2022. "Contango and Backwardation in Arbitrage-Free Futures-Markets," EconStor Preprints 249292, ZBW - Leibniz Information Centre for Economics.
    8. Ames, Matthew & Bagnarosa, Guillaume & Matsui, Tomoko & Peters, Gareth W. & Shevchenko, Pavel V., 2020. "Which risk factors drive oil futures price curves?," Energy Economics, Elsevier, vol. 87(C).
    9. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    10. Martin T. Bohl & Alexander Pütz & Pierre L. Siklos & Christoph Sulewski, 2018. "Information Transmission under Increasing Political Tension – Evidence for the Berlin Produce Exchange 1887-1896," CQE Working Papers 7618, Center for Quantitative Economics (CQE), University of Muenster.
    11. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    12. Junior, Peterson Owusu & Tiwari, Aviral Kumar & Padhan, Hemachandra & Alagidede, Imhotep, 2020. "Analysis of EEMD-based quantile-in-quantile approach on spot- futures prices of energy and precious metals in India," Resources Policy, Elsevier, vol. 68(C).
    13. Gao, Lin & Hitzemann, Steffen & Shaliastovich, Ivan & Xu, Lai, 2022. "Oil volatility risk," Journal of Financial Economics, Elsevier, vol. 144(2), pages 456-491.
    14. Lazarczyk, Ewa, 2013. "Market Specific News and Its Impact on Electricity Prices – Forward Premia," Working Paper Series 953, Research Institute of Industrial Economics, revised 20 Aug 2013.
    15. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
    16. Damir Tokic, 2014. "Legitimate speculation versus excessive speculation," Journal of Asset Management, Palgrave Macmillan, vol. 15(6), pages 378-391, December.
    17. Makki, Shiva S. & Tweeten, Luther G. & Miranda, Mario J., 2001. "Storage-trade interactions under uncertainty: Implications for food security," Journal of Policy Modeling, Elsevier, vol. 23(2), pages 127-140, February.
    18. Back, Janis & Prokopczuk, Marcel & Rudolf, Markus, 2013. "Seasonality and the valuation of commodity options," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 273-290.
    19. Björn Lutz, 2010. "Pricing of Derivatives on Mean-Reverting Assets," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-02909-7, October.
    20. CARPANTIER, Jean - François, 2010. "Commodities inventory effect," LIDAM Discussion Papers CORE 2010040, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    More about this item

    Keywords

    macroeconomic equilibrium; magic quadrant or square; associative dynamical hierarchy; correlation matrix; econometric model; determinant coefficient;
    All these keywords.

    JEL classification:

    • B22 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Macroeconomics
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rsr:journl:v:65:y:2017:i:3:p:35-46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.