IDEAS home Printed from https://ideas.repec.org/a/blg/journl/v9y2014i1p43-58.html
   My bibliography  Save this article

Gmm Estimation And Shapiro-Francia Normality Test: A Case Study Of Developing Countries

Author

Listed:
  • DAVTYAN Azat

    (West University of Timisoara, Romania)

Abstract

The study of relationships between economic and financial system indicators in developing countries became contemporary issue taking into account the influence of the last crisis. This paper aims to analyze the correlation of number of explanatory variables with portfolio investments in 38 emerging markets in the period from 2005 to 2009. As a empirical methodology of this research serves Arellano-Bond and Arellano/Bover-Blundell/Bond estimations and Shapiro-Francia normality test. We identify that the capital market indicators, in particular, the stock market capitalization, stock market total value traded to GDP are considered the main positive and statistically significant variables. Since the outbreak of the crisis, investors start to pay their attention to almost every indicator affecting the flows of portfolio investments. Almost all banking and economic indicators (except some business environment indicators, bank non-performing loans to gross loans (%), lending interest rate (%), banks Z-score and official exchange rate) are highly associated with portfolio investments.

Suggested Citation

  • DAVTYAN Azat, 2014. "Gmm Estimation And Shapiro-Francia Normality Test: A Case Study Of Developing Countries," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 9(1), pages 43-58, April.
  • Handle: RePEc:blg:journl:v:9:y:2014:i:1:p:43-58
    as

    Download full text from publisher

    File URL: http://eccsf.ulbsibiu.ro/RePEc/blg/journl/914davtyan.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bontemps, Christian & Meddahi, Nour, 2005. "Testing normality: a GMM approach," Journal of Econometrics, Elsevier, vol. 124(1), pages 149-186, January.
    2. Arellano, Manuel, 1989. "A note on the Anderson-Hsiao estimator for panel data," Economics Letters, Elsevier, vol. 31(4), pages 337-341, December.
    3. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    4. Landon, Stuart & Smith, Constance E., 2009. "Investment and the exchange rate: Short run and long run aggregate and sector-level estimates," Journal of International Money and Finance, Elsevier, vol. 28(5), pages 813-835, September.
    5. Robert G. King & Ross Levine, 1993. "Finance and Growth: Schumpeter Might Be Right," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 717-737.
    6. Wildmann, Christian, 2010. "What drives portfolio investments of German banks in emerging capital markets?," Discussion Paper Series 2: Banking and Financial Studies 2010,04, Deutsche Bundesbank.
    7. Eun, Cheol S & Resnick, Bruce G, 1988. " Exchange Rate Uncertainty, Forward Contracts, and International Portfolio Selection," Journal of Finance, American Finance Association, vol. 43(1), pages 197-215, March.
    8. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    9. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    10. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    11. Shauna Phillips & Fredoun Z. Ahmadi-Esfahani, 2008. "Exchange rates and foreign direct investment: theoretical models and empirical evidence ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(4), pages 505-525, December.
    12. Francesca Carrieri & Basma Majerbi, 2006. "The pricing of exchange risk in emerging stock markets," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 37(3), pages 372-391, May.
    13. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    14. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    15. Muller, Aline & Verschoor, Willem F.C., 2009. "The effect of exchange rate variability on US shareholder wealth," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 1963-1972, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Afsin Sahin, 2023. "Testing Distributions in Banking Sector Loans with Different Computer Programs: An Experimental Analysis for Turkey," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 9(2), pages 145-158, April.
    2. Safet Kurtovic & Sead Talovic, 2015. "Liberalization of Trade with the European Union and its Impact on the Reduction in Central European Free Trade Agreement 2006 Trade Balance Deficit," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 552-565.

    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. Alali, Walid Y., 2010. "Impact of Institutions and Policy on Economic Growth: Empirical Evidence," MPRA Paper 115610, University Library of Munich, Germany.
    2. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    3. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    4. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    5. Juergen Bitzer & Erkan Goeren, 2018. "Foreign Aid and Subnational Development: A Grid Cell Analysis," Working Papers V-407-18, University of Oldenburg, Department of Economics, revised Mar 2018.
    6. Yongfu Huang, 2011. "Private investment and financial development in a globalized world," Empirical Economics, Springer, vol. 41(1), pages 43-56, August.
    7. Gnangnon, Sèna Kimm, 2023. "Duration of membership in the world trade organization and investment-oriented remittances inflows," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 258-277.
    8. Gnangnon, Sèna Kimm, 2022. "Duration of WTO Membership and Investment-Oriented Remittances Flows," EconStor Preprints 251274, ZBW - Leibniz Information Centre for Economics.
    9. Bebonchu Atems & Grayden Shand, 2018. "An empirical analysis of the relationship between entrepreneurship and income inequality," Small Business Economics, Springer, vol. 51(4), pages 905-922, December.
    10. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    11. Gnangnon, Sèna Kimm, 2021. "Effect of the Utilization of Non-Reciprocal Trade Preferences offered by the QUAD on Economic Growth in Beneficiary Countries," EconStor Preprints 242848, ZBW - Leibniz Information Centre for Economics.
    12. Martin Andersson & Hans Lööf, 2011. "Agglomeration and productivity: evidence from firm-level data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 601-620, June.
    13. Mateo Zokalj, 2016. "The impact of population aging on public finance in the European Union," Financial Theory and Practice, Institute of Public Finance, vol. 40(4), pages 383-412.
    14. Fagiolo, Giorgio & Santoni, Gianluca, 2015. "Human-mobility networks, country income, and labor productivity," Network Science, Cambridge University Press, vol. 3(3), pages 377-407, September.
    15. Petreski, Marjan, 2009. "Analysis of exchange-rate regime effect on growth: theoretical channels and empirical evidence with panel data," Economics Discussion Papers 2009-49, Kiel Institute for the World Economy (IfW Kiel).
    16. Mitze, Timo & Reinkowski, Janina, 2010. "Testing the Validity of the Neoclassical Migration Model: Overall and Age-Group Specific Estimation Results for German Spatial Planning Regions," MPRA Paper 23616, University Library of Munich, Germany.
    17. Ejike Udeogu (a) , Uzochukwu Amakom (b) and Shampa Roy-Mukherjee (a), 2021. "Empirical Analysis of an Augmented Schumpeterian Endogenous Growth Model," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 46(1), pages 53-84, March.
    18. Vogel, Johanna, 2013. "Regional Convergence in Europe: A Dynamic Heterogeneous Panel Approach," MPRA Paper 51794, University Library of Munich, Germany.
    19. Mika Maliranta, 2005. "R&D, International Trade and Creative Destruction—Empirical Findings from Finnish Manufacturing Industries," Journal of Industry, Competition and Trade, Springer, vol. 5(1), pages 27-58, January.
    20. Cristian Incaltarau & Gabriela Carmen Pascariu & Adelaide Duarte & Peter Nijkamp, 2021. "Migration, regional growth and convergence: a spatial econometric study on Romania," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(3), pages 497-532, June.

    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:blg:journl:v:9:y:2014:i:1:p:43-58. 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: Mihaela Herciu (email available below). General contact details of provider: https://edirc.repec.org/data/feulbro.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.