IDEAS home Printed from https://ideas.repec.org/a/mth/ber888/v9y2019i2p146-159.html
   My bibliography  Save this article

Financial Crises in State Owned and Private Commercial Banks in Bangladesh: A Comparative Analysis

Author

Listed:
  • Kawsar Jahan
  • Mohammod Akbar Kabir
  • Farjana Nur Saima
  • Md. Nasim Adnan

Abstract

Recently the performance of banking industry is one of the much talked issues in the history of Bangladesh. Predicting the factors of financial crises in banks is very much important as this sector is facing a crises moment now. This study examined the driving factors of financial crises in banking sector using panel data consisted of five year observations (2012-2016) for each of 28 PCBs listed in Dhaka Stock Exchange (DSE) and 6 State-Owned Commercial Banks (SCBs). Financial crisis is measured by Altman¡¯s Z-score and Pooled Ordinary Least Square (Pooled OLS) has been applied to find out the factors necessary to condense financial crisis in banks. The study found that SCBs and listed PCBs in Bangladesh are facing financial crisis on the basis of Altman¡¯s Z-score model. Results of the analysis postulated that CRAR, NIIR and NINTR significantly contribute to lessen financial crisis in listed PCBs and also in SCBs. Therefore, the study suggests the regulatory authorities, including stakeholders and researchers to taking into account the findings of the study and to be more alert of the operations of SCBs and PCBs in order to steps forward the performance of this sector as well development of the country in the coming future.

Suggested Citation

  • Kawsar Jahan & Mohammod Akbar Kabir & Farjana Nur Saima & Md. Nasim Adnan, 2019. "Financial Crises in State Owned and Private Commercial Banks in Bangladesh: A Comparative Analysis," Business and Economic Research, Macrothink Institute, vol. 9(2), pages 146-159, June.
    • Handle: RePEc:mth:ber888:v:9:y:2019:i:2:p:146-159
    as

    Download full text from publisher

    File URL: http://www.macrothink.org/journal/index.php/ber/article/view/14626/11669
    Download Restriction: no
    File URL: http://www.macrothink.org/journal/index.php/ber/article/view/14626
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    2. Nizar Baklouti & Frédéric Gautier & Habib Affes, 2016. "Corporate Governance and Financial Distress of European Commercial Banks," Post-Print halshs-02308478, HAL.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. Prof. Dr. Hatem Hatef Abdulkadhim Altaee & Ibaa M. Anis Talo & Mustafa Hassan Mohammad Adam, Ph.D, 2013. "Testing the Financial Stability of Banks in GCC Countries: Pre and Post Financial Crisis," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 3(4), pages 93-105, April.
    5. Sahut, Jean-Michel & Mili, Mehdi, 2011. "Banking distress in MENA countries and the role of mergers as a strategic policy to resolve distress," Economic Modelling, Elsevier, vol. 28(1-2), pages 138-146, January.
    6. Irina – Raluca Badea & Gheorghe Matei, 2016. "The Z-Score Model for Predicting Periods of Financial Instability. Z-Score Estimation for the Banks Listed on Bucharest Stock Exchange," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(18), pages 24-35, November.
    7. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    8. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    9. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    10. Md. Qamruzzaman, 2014. "Predicting Bankruptcy: Evidence from Private Commercial Banks in Bangladesh," International Journal of Financial Economics, Research Academy of Social Sciences, vol. 2(3), pages 114-121.
    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, Yuanzhi, 2013. "A nonlinear wealth transfer from shareholders to creditors around Chapter 11 filing," Journal of Financial Economics, Elsevier, vol. 107(1), pages 183-198.
    2. Baik, Bok & Kim, Young Jun & Kim, Jungbae & Lee, Su Jeong, 2015. "Usefulness of earnings in credit markets: Korean evidence," Pacific-Basin Finance Journal, Elsevier, vol. 33(C), pages 93-113.
    3. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    4. Meles, Antonio & Salerno, Dario & Sampagnaro, Gabriele & Verdoliva, Vincenzo & Zhang, Jianing, 2023. "The influence of green innovation on default risk: Evidence from Europe," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 692-710.
    5. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    6. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    7. Minhas Akbar & Ahsan Akbar & Petra Maresova & Minghui Yang & Hafiz Muhammad Arshad, 2020. "Unraveling the Bankruptcy Risk‒Return Paradox across the Corporate Life Cycle," Sustainability, MDPI, vol. 12(9), pages 1-19, April.
    8. Elizabeth Demers & Philip Joos, 2007. "IPO Failure Risk," Journal of Accounting Research, Wiley Blackwell, vol. 45(2), pages 333-371, May.
    9. Ali Uyar & Simone Pizzi & Fabio Caputo & Cemil Kuzey & Abdullah S. Karaman, 2022. "Do shareholders reward or punish risky firms due to CSR reporting and assurance?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1596-1620, July.
    10. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Post-Print halshs-01314553, HAL.
    11. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    12. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    13. Huang, Hsing-Hua & Lee, Han-Hsing, 2013. "Product market competition and credit risk," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 324-340.
    14. Ruey-Ching Hwang & Huimin Chung & Jiun-Yi Ku, 2013. "Predicting Recurrent Financial Distresses with Autocorrelation Structure: An Empirical Analysis from an Emerging Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 43(3), pages 321-341, June.
    15. Hamid Waqas & Rohani Md-Rus, 2018. "Predicting financial distress: Applicability of O-score model for Pakistani firms," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(2), pages 389-401, April.
    16. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
    17. Asis, Gonzalo & Chari, Anusha & Haas, Adam, 2021. "In search of distress risk in emerging markets," Journal of International Economics, Elsevier, vol. 131(C).
    18. Balios, Dimitris & Thomadakis, Stavros & Tsipouri, Lena, 2016. "Credit rating model development: An ordered analysis based on accounting data," Research in International Business and Finance, Elsevier, vol. 38(C), pages 122-136.
    19. Casado Yusta, Silvia & Nœ–ez Letamendía, Laura & Pacheco Bonrostro, Joaqu’n Antonio, 2018. "Predicting Corporate Failure: The GRASP-LOGIT Model || Predicci—n de la quiebra empresarial: el modelo GRASP-LOGIT," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 294-314, Diciembre.
    20. Lyandres, Evgeny & Zhdanov, Alexei, 2013. "Investment opportunities and bankruptcy prediction," Journal of Financial Markets, Elsevier, vol. 16(3), pages 439-476.

    More about this item

    Keywords

    Financial crisis; Listed PCBs; SCBs; Pooled OLS; Altman¡¯s z-score;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

    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:mth:ber888:v:9:y:2019:i:2:p:146-159. 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: Technical Support Office (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/ber .

    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.