IDEAS home Printed from https://ideas.repec.org/a/sae/globus/v19y2018i3p707-721.html
   My bibliography  Save this article

Analysis of Institutional Factors Affecting Share Prices: The Case of National Stock Exchange

Author

Listed:
  • Neeraj Nautiyal
  • P. C. Kavidayal

Abstract

This study offers empirical findings on the impact of institutional variables on firm’s stock market price performance. In order to identify the influence of companies financial on NIFTY 50 Index, our sample consists of balanced panel of 30 actively traded companies (that becomes the study’s index representative) over a massive transition period, 1995–2014. Attempts have been made with a wide range of econometric models and estimators, from the relatively straightforward to (static) more complex (dynamic panel analyses) to deal with the relevant econometric issues. Results indicate that increasing debt in capital structure does not establish any significant relation with the stock prices. Earnings per share (EPS) shows a poor explanation of price variation. Economic value added (EVA) indicates a positive relation with current as well as previous year’s stock price performances. However, dividend payout (DIVP) and dividend per share (DPS) achieve negative relationship at moderately significant level. The present study confirms that performance of companies fundamental ratios will be essential and immensely helpful to investors and analysts in assessing the better stocks that belong to different industry groups.

Suggested Citation

  • Neeraj Nautiyal & P. C. Kavidayal, 2018. "Analysis of Institutional Factors Affecting Share Prices: The Case of National Stock Exchange," Global Business Review, International Management Institute, vol. 19(3), pages 707-721, June.
    • Handle: RePEc:sae:globus:v:19:y:2018:i:3:p:707-721
    DOI: 10.1177/0972150917713865
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972150917713865
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0972150917713865?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    2. Merton H. Miller & Franco Modigliani, 1961. "Dividend Policy, Growth, and the Valuation of Shares," The Journal of Business, University of Chicago Press, vol. 34, pages 411-411.
    3. Ronald F. Wippern, 1966. "Financial Structure And The Value Of The Firm," Journal of Finance, American Finance Association, vol. 21(4), pages 615-633, December.
    4. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    5. 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.
    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. Li, Shengfeng & Hoque, Hafiz & Thijssen, Jacco, 2021. "Firm financial behaviour dynamics and interactions: A structural vector autoregression approach," Journal of Corporate Finance, Elsevier, vol. 69(C).
    2. Lips, Johannes, 2018. "Debt and the Oil Industry - Analysis on the Firm and Production Level," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181504, Verein für Socialpolitik / German Economic Association.
    3. Michel Beine & Bertrand Candelon, 2011. "Liberalisation and stock market co-movement between emerging economies," Quantitative Finance, Taylor & Francis Journals, vol. 11(2), pages 299-312.
    4. Christian Merkl & Stephanie Stolz, 2009. "Banks' regulatory buffers, liquidity networks and monetary policy transmission," Applied Economics, Taylor & Francis Journals, vol. 41(16), pages 2013-2024.
    5. Al-Jahwari, Salim Ahmed Said, 2021. "Does the Twin-Deficits doctrine apply to the Gulf Cooperation Council? A dynamic panel VAR-X model approach," MPRA Paper 111232, University Library of Munich, Germany.
    6. Armin Falk & Fabian Kosse & Ingo Menrath & Pablo Emilio Verde & Johannes Siegrist, 2014. "Unfair Pay and Health," SOEPpapers on Multidisciplinary Panel Data Research 715, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
    8. Badi H. Baltagi, 2021. "Dynamic Panel Data Models," Springer Texts in Business and Economics, in: Econometric Analysis of Panel Data, edition 6, chapter 0, pages 187-228, Springer.
    9. Minhas Akbar & Ammar Hussain & Ahsan Akbar & Irfan Ullah, 2021. "The dynamic association between healthcare spending, CO2 emissions, and human development index in OECD countries: evidence from panel VAR model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10470-10489, July.
    10. López-Mendoza, Héctor & González-Álvarez, María A. & Montañés, Antonio, 2024. "Assessing the effectiveness of international government responses to the COVID-19 pandemic," Economics & Human Biology, Elsevier, vol. 52(C).
    11. Sigmund, Michael & Ferstl, Robert, 2021. "Panel vector autoregression in R with the package panelvar," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 693-720.
    12. Charles Shaaba Saba & Nicholas Ngepah, 2022. "Nexus between telecommunication infrastructures, defence and economic growth: a global evidence," Netnomics, Springer, vol. 22(2), pages 139-177, October.
    13. Jouida, Sameh, 2018. "Diversification, capital structure and profitability: A panel VAR approach11We are grateful to the editor and the anonymous reviewer for their valuable comments," Research in International Business and Finance, Elsevier, vol. 45(C), pages 243-256.
    14. Oguzhan Cepni & Ibrahim Ethem Guney & Doruk Kucuksarac & M. Hasan Yilmaz, 2021. "Do local and global factors impact the emerging markets' sovereign yield curves? Evidence from a data‐rich environment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1214-1229, November.
    15. Jan-Niklas Meier & Paul Lehmann & Bernd Süssmuth & Stephan Wedekind, 2024. "Wind power deployment and the impact of spatial planning policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(2), pages 491-550, February.
    16. Shelagh Heffernan & Xiaoqing Fu, 2010. "Determinants of financial performance in Chinese banking," Applied Financial Economics, Taylor & Francis Journals, vol. 20(20), pages 1585-1600.
    17. Ghosh, Saibal, 2017. "Does central bank governors term in office matter for macroprudential policies? Evidence from MENA banks," Research in International Business and Finance, Elsevier, vol. 40(C), pages 34-51.
    18. Stolz, Stéphanie & Wedow, Michael, 2005. "Banks' regulatory capital buffer and the business cycle: evidence for German savings and cooperative banks," Discussion Paper Series 2: Banking and Financial Studies 2005,07, Deutsche Bundesbank.
    19. Abdulaleem Isiaka & Alexander Mihailov & Giovanni Razzi, 2022. "Distributional Effects of Public Spending and Tax Shocks in Middle-Income Countries: A Panel VAR Approach," Economics Discussion Papers em-dp2022-09, Department of Economics, University of Reading.
    20. Goergen, M. & Renneboog, L.D.R. & Correia Da Silva, L., 2004. "Dividend Policy of German Firms," Other publications TiSEM 13d8dd39-20ab-48b4-991e-b, Tilburg University, School of Economics and Management.

    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:sae:globus:v:19:y:2018:i:3:p:707-721. 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: SAGE Publications (email available below). General contact details of provider: http://www.imi.edu/ .

    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.