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Intelligence and finance

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  • Salahodjaev, Raufhon

Abstract

This paper explore the effect of intelligence on financial development using data from 180 nations, over the period 2000–2012. The results provide strong support for the claim that intelligence is positively associated with the supply offinance to economy. This paper establishes that, moving from country with the mean IQ score (84.1) to the highest national IQ score (107.1) is associated with 3.6 fold increase in the size of banking sector. The positive effect of intelligence remains intact when we control for other antecedents offinancial development.

Suggested Citation

  • Salahodjaev, Raufhon, 2015. "Intelligence and finance," MPRA Paper 68950, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:68950
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    References listed on IDEAS

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    Cited by:

    1. Haibei Chen & Xianglian Zhao, 2023. "Use intention of green financial security intelligence service based on UTAUT," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10709-10742, October.
    2. Salahodjaev, Raufhon & Yuldashev, Oybek, 2016. "Intelligence and greenhouse gas emissions: Introducing Intelligence Kuznets curve," MPRA Paper 68997, University Library of Munich, Germany.
    3. Salahodjaev, Raufhon, 2015. "Does intelligence help fighting inflation: an empirical test?," MPRA Paper 66882, University Library of Munich, Germany.
    4. Burhan, Nik Ahmad Sufian & Che Razak, Razli & Selamat, Muhamad Rosli & Rosli, Muhamad Ridhwan, 2017. "Intellectual Giftedness for Leadership: How Robust is the Crime Reducing Effect of Intellectual Class?," MPRA Paper 77467, University Library of Munich, Germany.
    5. Salahodjaev, Raufhon, 2015. "IQ and the wellbeing of nations," MPRA Paper 66356, University Library of Munich, Germany.
    6. Antonio Rodríguez Andrés & Raufhon Salahodjaev, 2016. "Do cognitive able societies nurture entrepreneurs?," Economics Bulletin, AccessEcon, vol. 36(3), pages 1453-1462.
    7. Lv, Zhike, 2017. "Intelligence and corruption: An empirical investigation in a non-linear framework," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 83-91.
    8. Salahodjaev, Raufhon & Azam, Sardor, 2015. "Intelligence and gender (in)equality: empirical evidence from developing countries," MPRA Paper 66295, University Library of Munich, Germany.
    9. Salahodjaev, Raufhon & Yuldashev, Oybek & Omanbayev, Bekhzod, 2016. "Cognitive abilities and air pollution," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 12(4).
    10. Rosita Capurro & Michele Galeotti & Stefano Garzella, 2018. ""Mondo reale-tradizionale" e "mondo digitale", strategie aziendali e web intelligence: il futuro del controllo e della gestione delle informazioni," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(2 Suppl.), pages 83-111.
    11. Salahodjaev, Raufhon, 2016. "Intelligence and deforestation: International data," Forest Policy and Economics, Elsevier, vol. 63(C), pages 20-27.
    12. Salahodjaev, Raufhon, 2016. "Intelligence and defense spending: a cross-country evidence," MPRA Paper 70252, University Library of Munich, Germany.

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    More about this item

    Keywords

    Finance; Banking Sector; IQ; Stock Market;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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