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Dependent Business Climate. A Network-Based Analysis

Author

Listed:
  • Elena Doina Dascălu

    (Romanian Court of Accounts.)

  • Nicu Marcu

    (Romanian Court of Accounts.)

  • Ştefan Pete

    (Romanian Court of Accounts)

  • Maria-Lenuţa Ulici

    (IPAG Business School Paris & Commercial Academy Satu Mare, Romania)

  • Vadim Dumitraşcu

    (Universitatea Creştină “Dimitrie Cantemir”.)

Abstract

The relevance of business climate is widely used in various analyses, both scientific and practical. Long histories of such indicators are available on the main data platforms, and a strong interest to develop methodological tools aiming at measuring the market participants’ sentiments fed the general accepted paradigm that such indicators could quantify the qualitative side of the market behaviour and enhance the power of economic analyses. This paper applies the network analysis methodology on the series of business climate indicators, as labelled by the Datastream platform. We elaborate on the results obtained from this analysis and provide an analysis of the changes that took place before and after the economic crisis.

Suggested Citation

  • Elena Doina Dascălu & Nicu Marcu & Ştefan Pete & Maria-Lenuţa Ulici & Vadim Dumitraşcu, 2016. "Dependent Business Climate. A Network-Based Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 138-152, March.
    • Handle: RePEc:rjr:romjef:v::y:2016:i:1:p:138-152
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    References listed on IDEAS

    as
    1. Stephane Dees & Pedro Soares Brinca, 2013. "Consumer confidence as a predictor of consumption spending: Evidence for the United States and the Euro area," International Economics, CEPII research center, issue 134, pages 1-14.
    2. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    3. Corredor, Pilar & Ferrer, Elena & Santamaria, Rafael, 2013. "Investor sentiment effect in stock markets: Stock characteristics or country-specific factors?," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 572-591.
    4. Pawe{l} Sieczka & Janusz A. Ho{l}yst, 2008. "Correlations in commodity markets," Papers 0803.3884, arXiv.org, revised Jan 2009.
    5. Bruno, Giancarlo & Malgarini, Marco, 2002. "An Indicator of Economic Sentiment for the Italian Economy," MPRA Paper 42331, University Library of Munich, Germany.
    6. Jean-Jacques Vanhaelen & Luc Dresse & Jan De Mulder, 2000. "The Belgian industrial confidence indicator: leading indicator of economic activity in the euro area ?," Working Paper Document 12, National Bank of Belgium.
    7. Goggin, Jean, 2008. "An Analysis of the Potential of the European Commission Business and Consumer Surveys for Macroeconomic Forecasting," Quarterly Economic Commentary: Special Articles, Economic and Social Research Institute (ESRI), vol. 2008(4-Winter), pages 46-67.
    8. Sieczka, Paweł & Hołyst, Janusz A., 2009. "Correlations in commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1621-1630.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Meghisan-Toma Georgeta-Madalina & Toma Dorin, 2019. "Health Determinants and Unmet Needs for Health Care- towards e-Health Systems," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 1045-1057, May.
    2. Graţiela Georgiana Noja & Simona Mirela Cristea & Atila Yüksel & Ciprian Pânzaru & Raluca Mihaela Drăcea, 2018. "Migrants’ Role in Enhancing the Economic Development of Host Countries: Empirical Evidence from Europe," Sustainability, MDPI, vol. 10(3), pages 1-32, March.
    3. BOSTAN, Ionel, 2018. "Business Finance (By: Prof. PhD Elena-Doina Dascalu)," LawArXiv 4er5c, Center for Open Science.
    4. Dima Alina-Mihaela & Meghisan-Toma Georgeta-Madalina, 2018. "Reserch on implementing education for sustainable development," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 300-310, May.
    5. Meghisan-Toma Georgeta-Madalina & Nicula Vasile Cosmin, 2020. "ICT Security Measures for the Companies within European Union Member States – Perspectives in COVID-19 Context," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 362-370, July.

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    More about this item

    Keywords

    business climate; dynamic network analysis; minimal spanning tree; survival rate;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business

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