IDEAS home Printed from https://ideas.repec.org/p/gtr/gatrjs/afr130.html
   My bibliography  Save this paper

Corporate Governance, Financial Ratios, Political Risk and Financial Distress, A Survival Analysis

Author

Listed:
  • Farida Titik Kristanti

    (Faculty of Economics & Business, Telkom University, Indonesia. Author-2-Name: Aldrin Herwany Author-2-Workplace-Name: Faculty of Economics & Business, Universitas Padjadjaran, Indonesia)

Abstract

".Objective � The objective of this study was to investigate the factors like corporate governance, financial ratios, and political risk and their impacts on company�s survival. Methodology/Technique � Collecting data of Indonesian Stock Exchange from 2000 to 2014 and employing purposive random sampling, this research collects samples of 58 companies undergoing financial distress and 275 others which do not. Findings � The research eventually proves that agency theory and Asymmetric Information theory do occur in Indonesia. With Cox Proportional Hazard model, it then proves that all two models employed: independence commissioners, leverage, operating risk, size, return on asset and control of corruption, are variables which consistently affect financial distress of the company. Novelty � The study uses original data and gives supported suggestion for the researched issues."

Suggested Citation

  • Farida Titik Kristanti, 2017. "Corporate Governance, Financial Ratios, Political Risk and Financial Distress, A Survival Analysis," GATR Journals afr130, Global Academy of Training and Research (GATR) Enterprise.
  • Handle: RePEc:gtr:gatrjs:afr130
    as

    Download full text from publisher

    File URL: http://gatrenterprise.com/GATRJournals/pdf_files/AFR%20Vol%202(2)%20Apr-Jun%202017/4.%20FARIDA%20TITIK%20KRISTANTI-AFR%20Vol%202(2)-CIMSSR-00629.pdf
    Download Restriction: http://gatrenterprise.com/GATRJournals/online_submission.html
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Claessens, Stijn & Djankov, Simeon, 1999. "Ownership Concentration and Corporate Performance in the Czech Republic," Journal of Comparative Economics, Elsevier, vol. 27(3), pages 498-513, September.
    2. George D. Cashman & David M. Harrison & Hainan Sheng, 2015. "Political Risk and the Cost of Capital in Asia-Pacific Property Markets," International Real Estate Review, Global Social Science Institute, vol. 18(3), pages 331-364.
    3. Altman, Edward I, 1984. "A Further Empirical Investigation of the Bankruptcy Cost Question," Journal of Finance, American Finance Association, vol. 39(4), pages 1067-1089, September.
    4. Gregor Andrade & Steven N. Kaplan, 1998. "How Costly is Financial (Not Economic) Distress? Evidence from Highly Leveraged Transactions that Became Distressed," Journal of Finance, American Finance Association, vol. 53(5), pages 1443-1493, October.
    5. John Rand & Finn Tarp, 2012. "Firm-Level Corruption in Vietnam," Economic Development and Cultural Change, University of Chicago Press, vol. 60(3), pages 571-595.
    6. John Rand & Finn Tarp, 2012. "Firm-Level Corruption in Vietnam," Economic Development and Cultural Change, University of Chicago Press, vol. 60(3), pages 571-595.
    7. Mushtaq H. Khan, 2006. "Determinants of Corruption in Developing Countries: The Limits of Conventional Economic Analysis," Chapters, in: Susan Rose-Ackerman (ed.), International Handbook on the Economics of Corruption, chapter 8, Edward Elgar Publishing.
    8. Luoma, M & Laitinen, EK, 1991. "Survival analysis as a tool for company failure prediction," Omega, Elsevier, vol. 19(6), pages 673-678.
    9. Hernandez Tinoco, Mario & Wilson, Nick, 2013. "Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 394-419.
    10. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    11. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    12. 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.
    13. Edward L. Glaeser, 2012. "The Political Risks of Fighting Market Failures: Subversion, Populism and the Government Sponsored Enterprises," NBER Working Papers 18112, National Bureau of Economic Research, Inc.
    14. Eliezer Fich & Steve Slezak, 2008. "Can corporate governance save distressed firms from bankruptcy? An empirical analysis," Review of Quantitative Finance and Accounting, Springer, vol. 30(2), pages 225-251, February.
    15. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    16. Lex Donaldson & James H. Davis, 1991. "Stewardship Theory or Agency Theory: CEO Governance and Shareholder Returns," Australian Journal of Management, Australian School of Business, vol. 16(1), pages 49-64, June.
    17. 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.
    18. Xu, Xiaonian & Wang, Yan, 1999. "Ownership structure and corporate governance in Chinese stock companies," China Economic Review, Elsevier, vol. 10(1), pages 75-98.
    19. Piruna Polsiri & Kingkarn Sookhanaphibarn, 2009. "Corporate Distress Prediction Models Using Governance and Financial Variables: Evidence from Thai Listed Firms during the East Asian Economic Crisis," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 273-304, July.
    20. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    21. Larry Li & Tony Naughton, 2007. "Going Public with Good Governance: evidence from China," Corporate Governance: An International Review, Wiley Blackwell, vol. 15(6), pages 1190-1202, 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. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    2. Yin Shi & Xiaoni Li & Maher Asal, 2023. "Impact of sustainability on financial distress in the air transport industry: the moderating effect of Asia–Pacific," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    3. Jagjeevan Kanoujiya & Shailesh Rastogi & Rebecca Abraham & Venkata Mrudula Bhimavarapu, 2023. "Does Competition Affect Financial Distress of Non-Financial Firms in India: A Comparison Using the Lerner Index and Boone Indicator," JRFM, MDPI, vol. 16(7), pages 1-20, July.

    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. 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.
    2. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    3. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    4. 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.
    5. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.
    6. Vo, D.H. & Pham, B.V.-N. & Pham, T.V.-T. & McAleer, M.J., 2019. "Corporate Financial Distress of Industry Level Listings in an Emerging Market," Econometric Institute Research Papers EI2019-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Evangelos C. Charalambakis & Ian Garrett, 2019. "On corporate financial distress prediction: What can we learn from private firms in a developing economy? Evidence from Greece," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 467-491, February.
    8. Nawaf Almaskati & Ron Bird & Yue Lu & Danny Leung, 2019. "The Role of Corporate Governance and Estimation Methods in Predicting Bankruptcy," Working Papers in Economics 19/16, University of Waikato.
    9. Mohammad Mahdi Mousavi & Jamal Ouenniche, 2018. "Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions," Annals of Operations Research, Springer, vol. 271(2), pages 853-886, December.
    10. 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).
    11. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2020. "Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure," JRFM, MDPI, vol. 13(10), pages 1-14, September.
    12. Amin Jan & Maran Marimuthu & Muhammad Kashif Shad & Haseeb ur-Rehman & Muhammad Zahid & Ahmad Ali Jan, 2019. "Bankruptcy profile of the Islamic and conventional banks in Malaysia: a post-crisis period analysis," Economic Change and Restructuring, Springer, vol. 52(1), pages 67-87, February.
    13. Salwa Kessioui & Michalis Doumpos & Constantin Zopounidis, 2023. "A Bibliometric Overview of the State-of-the-Art in Bankruptcy Prediction Methods and Applications," World Scientific Book Chapters, in: Emilios Galariotis & Alexandros Garefalakis & Christos Lemonakis & Marios Menexiadis & Constantin Zo (ed.), Governance and Financial Performance Current Trends and Perspectives, chapter 6, pages 123-153, World Scientific Publishing Co. Pte. Ltd..
    14. Khushbu Agrawal, 2015. "Default Prediction Using Piotroski’s F-score," Global Business Review, International Management Institute, vol. 16(5_suppl), pages 175-186, October.
    15. Sanjay Sehgal & Ritesh Kumar Mishra & Ajay Jaisawal, 2021. "A search for macroeconomic determinants of corporate financial distress," Indian Economic Review, Springer, vol. 56(2), pages 435-461, December.
    16. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2019. "Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress?," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    17. Paulo V. Carvalho & José D. Curto & Rodrigo Primor, 2022. "Macroeconomic determinants of credit risk: Evidence from the Eurozone," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2054-2072, April.
    18. Inekwe, John Nkwoma & Jin, Yi & Valenzuela, Ma. Rebecca, 2018. "The effects of financial distress: Evidence from US GDP growth," Economic Modelling, Elsevier, vol. 72(C), pages 8-21.
    19. Stewart Jones, 2017. "Corporate bankruptcy prediction: a high dimensional analysis," Review of Accounting Studies, Springer, vol. 22(3), pages 1366-1422, September.
    20. Alessandro Bitetto & Stefano Filomeni & Michele Modina, 2021. "Understanding corporate default using Random Forest: The role of accounting and market information," DEM Working Papers Series 205, University of Pavia, Department of Economics and Management.

    More about this item

    Keywords

    Financial Distress; Financial Ratios; Corporate Governance; Political Risk.;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • M48 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Government Policy and Regulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:gtr:gatrjs:afr130. 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: Prof. Dr. Abd Rahim Mohamad (email available below). General contact details of provider: http://gatrenterprise.com .

    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.